Pseudogenes

About 14,700 human pseudogenes cover under half a percent of the genome. About one in five shows transcription and a few percent show constraint, but only a few dozen have a measured function. Most were never tested. HBBP1 is a real relic-turned-useful case; vitellogenin, enamelin and GULO are not.

By AI (Claude Opus 5.5, thinking level unavailable); strengthening review by Claude Opus 5.5, thinking level unavailable Draft:  October 2026

"The question is not whether some DNA regions that look like pseudogenes have a function.  This is a fact.  The real question is whether these regions are exceptions to the general rule that a pseudogene is a pseudogene or whether most pseudogenes have been mislabeled." — Laurence Moran, biochemist, 20201

"The strongest statement that could be warranted by the evidence would be that we do not currently know of a function for the vitamin C pseudogene." — Jonathan Wells, The Myth of Junk DNA, 20112

Summary

A pseudogene is a stretch of DNA that looks like a gene but carries damage that should stop it from making the gene's product:  a stop signal in the middle, a shifted reading frame, or a missing start.  For forty years pseudogenes were the textbook example of junk DNA.  Since about 2000, papers have reported pseudogenes that are copied into RNA, that regulate their parent genes, and in a few cases that are needed for a cell to work.  Design writers now say that most pseudogenes probably have a function.  Their critics say that a handful were co-opted and the rest are dead.

This article counts.  The short answer is that both slogans outrun the data.  A small number of pseudogenes have a function shown by experiment.  A larger minority shows signs of activity or of constraint.  Most have never been tested by any experiment at all, and the tests that have been run on them as a group look like what neutral decay would produce.

  1. There are about 14,700 human pseudogenes, and together they are a tiny slice of the genome. GENCODE's current human annotation, release 50 of June 2026, lists 14,702: 10,634 processed, 3,535 unprocessed (duplicated) and 296 unitary.3 Counted for this article from the same release, their exons cover about 11 million bases, 0.36% of the genome, and 1.3% if the introns of duplicated copies are included.4 If every pseudogene in the genome turned out to work, the total amount of functional DNA would barely move. The fight over pseudogenes is about what they show, not about how much DNA they are.
  2. Somewhere between one in twelve and one in five is copied into RNA, depending on the method. The GENCODE team found 876 transcribed pseudogenes among 10,523 studied, and called that conservative.5 The ENCODE pilot found 38 of 201, 19%.6 A three-phyla comparison found about 15% transcribed in humans, worms and flies alike.7 Long-read sequencing finds many transcribed pseudogenes the reference annotation misses.8 Transcription is not function, and researchers on both sides of the junk-DNA debate say so.9
  3. A few are translated, and a few of those are under selection. Ribosome profiling found 155 of 426 expressed pseudogenes translated into peptides longer than ten amino acids.10 But when Xu and Zhang compared human and macaque copies, only five of 34 translated pseudogenes showed the signature of protein-level selection. Across all pseudogenes the rate was 4.9% of transcribed ones and 0.49% of untranscribed ones.11
  4. Most processed pseudogenes are young, and few are shared with mice. Only 129 human pseudogenes, about 1%, have mouse orthologs.7 For ribosomal-protein pseudogenes, the largest family, 1,282 sit at matching places in human and chimpanzee and 6 in human and mouse.12 The GENCODE team counted 1,019 human pseudogenes as conserved, 28.1% of duplicated ones and 3.4% of processed ones.5
  5. A widely repeated design argument inverts its own source. The 2017 Crossway volume Theistic Evolution says that 60% of human processed pseudogenes "are very similar in mouse and human" and that this implies "a sequence-dependent essential function."13 It cites a 2012 review, which cites a 2004 paper. The 2004 paper's abstract says the reverse: of about 5,000 mouse processed pseudogenes, "approximately 60% are lineage specific, created after the mouse and human diverged."14
  6. Measured function exists, but the list is short and uneven. The cleanest cases change DNA and watch what happens. In chickens, 25 broken antibody-gene copies are the spare-part donors from which the bird builds its antibody variety;15 deleting them in a chicken B-cell line stops the process.16 In human red-cell precursors, deleting the region of the beta-globin pseudogene HBBP1 switches fetal haemoglobin back on,17 and a 2021 study found HBBP1's RNA needed for red cells to form.18 The famous PTENP1 tumour-suppressor result replicated only in part when an independent team repeated it in 2020.19 The famous Makorin1-p1 result in mice did not survive: a 2006 study found that the pseudogene "is not transcribed".20 A 2021 screen that silenced 850 expressed pseudogenes in a breast-cancer cell line found 69 whose loss slowed growth.21 No database of experimentally confirmed functional pseudogenes was found. Individually tested cases number a few dozen, not thousands.
  7. Of the cases named in this article's brief, one is a real relic-turned-useful, and three are not. HBBP1 is the real one, shown by deletion. The human vitellogenin (egg-yolk gene) remnant has no measured function; the claim that it is an enhancer rests on a gene prediction and a patent.22 Enamelin has no design-side function claim at all. For GULO, the vitamin C gene, no design-side writer offers data for a function, the leading creationist paper on it says the region is "transcriptionally inactive",23 and Wells, quoted above, concedes the point.
  8. Each side has a habit to break. Dan Graur's team wrote that pseudogenes "by definition" are nonfunctional, so any pseudogene found to work is "by definition" a gene.24 That makes the junk claim true by definition and untestable. On the other side, design writers have treated transcription as function and counted conservation that is not there. Jerry Bergman called transcription one of the "levels of function" ENCODE documented,25 and the 2017 volume's mouse-human figure, point 5, is the wrong way round.
  9. The design case does not need most pseudogenes to work. A young-earth model expects some genes to have broken since creation. This site's Functional DNA is Evidence of Design says so: "The only junk DNA would be that which has been destroyed by mutations since the original design." Unitary pseudogenes like GULO fit that reading. What a young-earth model owes is an account of why these broken copies share positions and lesions across species, and that question belongs to Shared Genetic Mistakes and Common Ancestry and Shared Retroviruses and Pseudogenes.

Verdict in one paragraph.  A fraction of pseudogenes with measured function, well under 1%.  A larger fraction, roughly 10% to 30% depending on the measure, with transcription, chromatin activity or constraint.  A remainder, most of the total, with no evidence of function, and never tested one by one.  The claim that most pseudogenes are functional is not supported.  The claim that pseudogenes are nonfunctional "by definition" is not science.  The honest statement is the one Moran and Wells each made about the part of the question they were willing to concede.

Part 1: What a pseudogene is, and how many there are

Three ways to make a broken copy

Laurence Moran, a University of Toronto biochemist and the most persistent public defender of junk DNA, describes four kinds.26

  1. Duplicated (unprocessed) pseudogenes. A stretch of chromosome holding a gene is copied, and one copy picks up a disabling mutation. The copy keeps its introns and often its promoter, so it may still be transcribed. It usually sits near its parent gene.
  2. Processed pseudogenes. A cell's own reverse transcriptase, mostly the machinery of LINE-1 elements, copies a finished messenger RNA back into DNA and pastes it somewhere else in the genome. The copy has no introns and no promoter, so it is usually "dead on arrival". For a processed pseudogene to be inherited, the copying has to happen in the germ line, so most come from genes that are busy in sperm or egg precursors.
  3. Unitary pseudogenes. A single-copy gene breaks in place and is not replaced. There is no working copy left in the genome. The human vitamin C gene, GULO, is the classic case.
  4. Polymorphic pseudogenes. A unitary pseudogene that is broken in some people and working in others.

The difference matters for the function question.  A processed pseudogene never had a working promoter in its new home, so if it does anything, it acquired that job after it landed.  A duplicated or unitary pseudogene inherited a working gene's controls, so it can keep doing part of the old job, or some of its DNA can keep a role that never depended on the protein.

The three kinds also carry different expectations for a young-earth reading.  A unitary pseudogene is a created gene that broke, so that reading expects no function, and GULO shows none (Part 4).  A duplicated pseudogene could be a created copy with a job of its own, and the data lean that way:  the GENCODE team found conservation in 28.1% of duplicated pseudogenes against 3.4% of processed ones,5 and the two strongest measured cases, the chicken antibody donors and HBBP1, are duplicated copies that sit beside their working relatives (Parts 3 and 4).  The mainstream reading expects the same pattern, because duplicates keep their promoters, so the pattern does not decide between the two.  Processed pseudogenes, the majority, are the hard case for a young-earth model, for reasons set out in Part 5.

How they are found

Pseudogenes are found by computer, not by experiment.  A program takes the known proteins of a species, searches the genome for stretches that resemble them, and labels as a pseudogene any match that has a premature stop codon, a frameshift, a missing start, or broken splice sites.  Processed copies are recognised by their missing introns and the remains of a poly-A tail.  GENCODE, the reference annotation used by Ensembl and ENCODE, combines two automated pipelines with manual curation by the HAVANA team.5

So the label "pseudogene" is a prediction from sequence, not a measurement of activity.  That is not a scandal;  every gene annotation starts the same way.  It does mean the count depends on the program and on what it is told to look for.  Moran notes that early efforts on the human genome "gave results ranging from more than 18,000 to a little over 11,000 depending on the program that was used", and that because the different programs overlapped so little, "the actual number of pseudogenes could have been as low as 7,000".26

The counts

Year Source Human pseudogenes Note
2003 Torrents and colleagues, EMBL 19,724 regions, "95% ± 3%" judged neutral all intergenic regions screened; 70% processed27
2003 Zhang and colleagues, Yale more than 8,000 processed "∼40% of the total number of annotated functional human genes"28
2012 GENCODE (Pei and colleagues) 11,216 surveyed, 14,112 estimated 138 unitary in the surveyed set5
2014 Sisu and colleagues 12,358 used for three-phyla comparison7
2026 GENCODE release 50 14,702 10,634 processed, 3,535 unprocessed, 296 unitary3
2026 Cabanac and colleagues, P-GRe pipeline 28,790 as reported by Moran, who suspects transposon genes were counted26

For comparison, the same GENCODE release lists 19,442 protein-coding genes.3  So the human genome holds roughly three pseudogenes for every four working protein genes.  The counts have converged near 14,000 to 15,000 for pseudogenes of protein-coding genes.  Pseudogenes of RNA genes are harder to see and mostly uncounted;  Moran notes that the Alu repeats began as copies of a small RNA gene, 7SL.29

How much DNA they are

Moran has given two figures for how much of the genome pseudogenes occupy.  In 2012 he wrote "Pseudogenes represent about 1% of the genome".30  In 2020 he wrote that "There are roughly 15,000 annotated pseudogenes in the human genome and they cover about 5% of the genome."1

This article measured it.  A short script, research/gencode-pseudogene-count.ts, reads the GENCODE release 50 annotation file and merges the coordinates of every gene typed as a pseudogene.  It reproduces GENCODE's own published counts exactly:  10,634 processed, 3,535 unprocessed and 296 unitary.  The pseudogenes' own exon sequence covers 11.0 million bases, 0.36% of a 3.1 billion base genome.  Adding the introns that duplicated and unitary pseudogenes keep gives 41.2 million bases, 1.33%.4  Moran's 2012 figure is right;  his 2020 figure is about four times too high even on the generous measure.

This number cuts both ways, and both sides should hear it.  For the design side, it means pseudogenes cannot carry much weight in the argument over how much of the genome is functional.  This site's Functional DNA is Evidence of Design argues from transcription, protein binding, disease association and conservation across the whole genome;  if every pseudogene were proved functional tomorrow, those totals would rise by less than half a percentage point of exon sequence.  For the junk side, it means pseudogenes are not a large part of the junk either.  The reason both sides care about them is not their bulk.  It is that a broken gene, if it really is broken, looks like a scar left by history rather than a part put there for a purpose.

Unitary pseudogenes and genes that came back

Unitary pseudogenes are the ones most often argued about, because each marks a function the species lost.  Zhang and colleagues at Yale searched for genes that work in other mammals but are broken in humans, and found "76 unitary pseudogenes" in the human lineage since the split from rodents.  They found that the losses were spread out "at a fairly uniform rate throughout primate evolution".  And they found 11 that are polymorphic, broken in some people and intact in others, of which "two of them are in fact pseudogenes in non-human primates, suggesting that they represent cases of a gene being resurrected in the human lineage."31  GENCODE now annotates 296 unitary pseudogenes, after better methods raised the count.3

The resurrection finding is a reminder that "pseudogene" is a label for the state of a sequence, not a verdict on its history.  A gene can break and be repaired by a later mutation.

Part 2: Transcribed, translated, conserved

Three kinds of evidence are offered for function across pseudogenes as a class:  they are copied into RNA, some are translated into protein, and some are conserved between species.  Each is real.  Each is weaker than it sounds, for reasons the researchers who measured it state themselves.

Transcription: one in twelve to one in five

Study Sample Transcribed Note
Zheng and colleagues, ENCODE pilot, 2007 201 pseudogenes in 1% of the genome 38, 19% authors call it "a low-bound estimate"6
Pei and colleagues, GENCODE, 2012 10,523 pseudogenes 876, 8.3% authors call it "a conservative estimate"5
Kalyana-Sundaram and colleagues, 2012 293 cancer and benign samples 2,082 distinct pseudogene transcripts 218 expressed only in cancers32
Sisu and colleagues, 2014 human, worm, fly 1,441 in human, "∼15%" same share in all three phyla7
Jiang, Borsari and Gerstein, 2026 14,253 pseudogene transcripts, 26 normal tissues 1,511 at 1 TPM or more, 10.6% about half restricted to one tissue33
GENCODE release 50, 2026 15,199 pseudogene genes 2,940 typed "transcribed", 19.3% counted for this article4

The spread comes from where and how hard each team looked.  Cancer cells and testis switch on a great deal of DNA that is silent elsewhere, and long-read sequencing catches transcripts that short reads assign to the parent gene.  Troskie and colleagues, using long reads, found transcripts from 521 processed pseudogenes, including 220 transcribed in the same direction as their parent and independent of any known gene, "only 43 of which were previously annotated as transcribed pseudogenes in Gencode."8  So the true transcribed fraction in some tissue at some stage is probably higher than the GENCODE flag.

Some of these transcripts are pieces of longer non-coding RNAs.  Michael Milligan, Leonard Lipovich and colleagues laid the human pseudogene catalogues over the catalogues of long non-coding RNA genes and found "2277 loci containing exon-to-exon overlaps between pseudogenes, both processed and unprocessed, and long non-coding RNA genes", 1,167 of them with direct evidence of transcription.  Their merged catalogue holds about 20,945 pseudogene loci, so that is roughly 5% to 11%, in line with the table above.  From the overlaps they concluded that pseudogenes "are pervasively transcribed on both strands and are common drivers of gene regulation."34  The count is a useful measurement.  The conclusion goes further than an overlap can carry:  a pseudogene that sits inside a non-coding RNA is transcribed, and whether it drives anything has to be tested one case at a time.  Overstatement on the function side is not confined to design writers.

Transcription is not function.  Svensson, Arvestad and Lagergren, who were looking for functional pseudogenes, wrote it plainly:  "That a pseudogene is transcribed is not sufficient evidence of biological function."9  RNA polymerase transcribes a great deal of DNA at a low rate, and a pseudogene that lands inside an intron is transcribed along with its host gene whether it does anything or not.  The ENCODE pilot also tested whether transcribed pseudogenes are more constrained than untranscribed ones.  They are not:  "the transcribed pseudogenes did not show significantly different evolutionary constraints compared to those not transcribed".6  If transcription marked function, it should have marked constraint too.

Design writers have not always kept this line.  Jerry Bergman, writing in the Creation Research Society Quarterly, cited ENCODE as having "documented several levels of function in many pseudogenes (Birney, 2012), including transcription".25  Transcription is one of the things ENCODE measured.  Calling it a level of function assumes the point at issue.

Translation: real, but mostly not selected

Some pseudogene transcripts are read by ribosomes.  Ji, Song, Regev and Struhl used ribosome profiling and found that "out of 426 expressed pseudogenes (~3% of those annotated), 155 (36%) are translated into peptides longer than 10 aa."10  Mass spectrometry has found peptides from 107 human pseudogenes.11

Jinrui Xu and Jianzhi Zhang at the University of Michigan asked whether those peptides matter.  If a pseudogene's protein does a job, mutations that change its amino acids should be weeded out, so human and macaque copies should differ more at silent sites than at amino-acid sites.  "Five of 34 translated pseudogenes amenable to evolutionary analysis" show that signature.  Across the genome, they found it in "4.9% of transcribed pseudogenes and 0.49% of nontranscribed pseudogenes".11  Their conclusion is the fairest sentence in this literature:  "neither ORF disruption nor presence of protein product disproves or proves gene functionality at the protein level."11

Conservation: mostly lineage-specific

If a pseudogene had an important job, mutations that damaged it would be weeded out, and its sequence would change more slowly than neutral DNA.  This is the argument from conservation, and it is the strongest evidence either side has, because it does not depend on any one experiment.

Measured across the class, pseudogenes mostly decay at the neutral rate.  Torrents and colleagues judged "95% ± 3%" of 19,724 pseudogene regions to "evolve neutrally".27  The ENCODE pilot found that "The overall sequence decay rate of pseudogenes is very similar to that of neutrally evolving DNA."6  Sisu and colleagues found no excess of rare variants in human pseudogenes that would mark selection in the population.7

Both sides should note what these tests can see.  Torrents's test compares protein-changing with silent substitutions.  It detects selection on a protein.  A pseudogene whose job is done by its RNA or its DNA would be constrained at both kinds of site alike, and this test would score it as neutral.  The ENCODE pilot's decay-rate comparison and Pei's divergence test do not have that blind spot, and they find constraint in a minority.

The blind spot is the creationist writer John Woodmorappe's main point about pseudogenes.  In 2004 he wrote that "the potential or actual function of a pseudogene can only be determined by direct experiment, and it is high time that evolutionists abandoned KA/Ks as a ground for the a priori discounting of pseudogene function."  KA/KS is the ratio of protein-changing to silent substitutions that Torrents used.  In Woodmorappe's view, pseudogenes "appear to lack function primarily because very few of them have been carefully studied for function.  It is no more complicated than that!"35  He is right that the ratio test cannot see a job done by RNA or DNA, and right that experiment decides.  But the tests without that blind spot also find most pseudogenes decaying at about the neutral rate.  His point keeps the question open for the untested majority.  It is not evidence that they work.

The minority is real.  Pei and colleagues compared each human pseudogene with its counterparts in chimpanzee and mouse and found "1,019 conserved pseudogenes", enriched for transcribed ones, "strongly implying biological function".  The split by type matters:  "28.1% of duplicated pseudogenes and 3.4% of processed pseudogenes are conserved", because "most processed pseudogenes are lineage-specific, and also that most of them are dead on arrival."5  Khachane and Harrison found 1,750 transcribed pseudogenes with mid-sequence damage;  "About half of the human TPAs are conserved in rhesus monkey, but strikingly, very few in mouse (~3%)", and they named "68 strong candidates" for function across several mammals.36  Balasubramanian and colleagues reported a point for the function side in the largest pseudogene family:  "syntenic pseudogenes have a lower rate of nucleotide substitution than their surrounding intergenic DNA."12

How many human pseudogenes are shared with mice at all?  Very few.  Sisu and colleagues:  "only 129 (∼1%) of the human pseudogenes have mouse orthologs."7  For ribosomal-protein pseudogenes, Balasubramanian and colleagues counted 1,282 at matching places in human and chimpanzee, 6 in human and mouse, and 11 in human and rat.12  Svensson's search for pseudogenes conserved since before the primate-rodent split found 30 candidates and concluded that "functional pseudogenes are relatively rare on a long evolutionary timescale, they nevertheless exist."9

A "60 percent" that is the other way round

The 2017 Crossway volume Theistic Evolution, in a chapter by Ann Gauger, Ola Hössjer and Colin Reeves, gives the design side's conservation argument in one paragraph:

"There are more than eight thousand processed pseudogenes in the human genome; 60 percent are very similar in mouse and human.  The fact that their sequences are so similar means that they are likely to have a sequence-dependent essential function, so that their sequence cannot be changed without harm."13

The note cites Wen and colleagues' 2012 review "Pseudogenes are not pseudo any more".  Wen's sentence is:  "comparative analysis of processed pseudogenes in the mouse and human genomes has surprisingly demonstrated that 60% of the processed pseudogenes are conserved in both mammalian species."37  Wen cites Zhang, Carriero and Gerstein's 2004 paper in Trends in Genetics.  That paper's abstract says:  "We have systematically identified approximately 5000 processed pseudogenes in the mouse genome, and estimated that approximately 60% are lineage specific, created after the mouse and human diverged."14

Lineage-specific means not shared.  The source says 60% of mouse processed pseudogenes arose after the split and so have no human counterpart;  the review turned that into 60% conserved in both, and the book into 60% very similar.  At most the remaining 40% predate the split, and nothing in the abstract says they are similar, let alone constrained.  The later counts above, 129 human pseudogenes with mouse orthologs and 6 shared ribosomal-protein copies, show how few are.  The first half of the book's sentence is fine:  Zhang's 2003 catalogue did find ">8000 processed pseudogenes".28  The second half should be withdrawn, and the inference built on it with it.

The error originated with Wen and colleagues, who are mainstream biologists;  Francisco Ayala, a well-known evolutionary geneticist, is a co-author.  The volume's authors repeated a peer-reviewed review accurately.  But the claim carried the paragraph's argument, and checking one citation back would have caught it.

What the class-wide numbers support

Put together, the class-wide evidence says three things.  About one pseudogene in ten is transcribed in normal adult tissue and perhaps one in five somewhere.  A few percent of processed pseudogenes and about a quarter of duplicated ones show conservation beyond the neutral rate.  Protein-level selection is found in about one transcribed pseudogene in twenty.  The rest, the large majority, look on every class-wide test like copies decaying without constraint.

Two cautions keep that from being a verdict.  First, conservation is a sign of function only on the assumption that the species compared share an ancestor and that enough time has passed for unconstrained DNA to drift.  A young-earth reader does not grant the timescale, and this site's Functional DNA is Evidence of Design argues that a lack of conservation implies nothing unless evolution is assumed.  Second, most processed pseudogenes are young even on the mainstream timescale, and a young copy has had little time to show either constraint or decay.  So the conservation tests can find function in old pseudogenes, but they can say little either way about most of the young ones.

Part 3: Measured function, case by case

What counts as a measurement

A pseudogene has a measured function when someone changed it and something else changed as a result.  The tests differ a great deal in strength.  From strongest to weakest:

  1. Delete it in a living animal, and see a defect.
  2. Delete it in cells, at its own place in the genome, and see a defect.
  3. Silence it in cells with RNA interference or CRISPR interference, and see a defect. Pseudogenes resemble their parents, so the reagent may hit the parent too.
  4. Overexpress it, often far above its natural level, and see an effect. This shows what the molecule can do, not what it does at its natural dose.
  5. Remove something general, such as the Dicer enzyme that makes all small interfering RNAs, and infer which pseudogenes were involved.

And on top of each:  did anyone else repeat it?

Xu and Zhang add an evolutionary test.  Because "biochemical activities may have no fitness benefit, proof of a true biological function requires the demonstration that the activity or the pseudogene is under natural selection".  By that standard, they wrote of PTENP1 in 2015, "No such proof has been provided".11  A young-earth reader need not accept that selection is the test of function.  But a design advocate who points to conservation as evidence of function has already accepted half of it.

The cases

Pseudogene Organism Test Result Held up?
About 25 pseudo-V genes at the antibody light-chain locus chicken deletion in a B-cell line gene conversion stops; point mutation takes over one lab, one cell line16
HBBP1 region human red-cell precursors CRISPR deletion at the native locus fetal γ-globin switched back on deletion of the transcript start alone had no effect17
HBBP1 RNA human stem cells, cord-blood and bone-marrow cells, human cells in mice deletion, knockdown, splice-site mutation with rescue needed for red-cell formation, through TAL1 one laboratory, not yet repeated18
PTENP1 human prostate cancer cells siRNA knockdown, overexpression PTEN falls, cells grow faster partly replicated in 202019
Braf-rs1 mouse transgenic overexpression B-cell lymphoma no knockout; natural level 6 to 115 times lower than the transgene's38
Hdac1 and other pseudogenes mouse oocytes Dicer knockout siRNAs from pseudogenes; their targets rise without Dicer parallel result in the same journal issue39
Lethe (Rps15a-ps4) mouse fibroblasts antisense knockdown, overexpression damps the NF-κB inflammation pathway not repeated40
69 of 850 expressed pseudogenes human breast cancer cells CRISPRi screen cell growth slows four checked one by one, with rescue21
Makorin1-p1 mouse transgene insertion kidney cysts and bone defects refuted in 200620

Chicken antibody genes are the oldest and clearest case, and they work at the DNA level.  Chickens have a single working light-chain antibody gene.  Upstream of it, Reynaud and colleagues found in 1987 "25 V-hybridizing elements, all of which are pseudogenes".  During development, B cells copy short stretches from these pseudogenes into the working gene "at a frequency of 0.05-0.1 per cell generation", and that is how the bird builds its antibody variety.15  In 2004 Arakawa, Saribasak and Buerstedde deleted the pseudogenes in a chicken B-cell line:  "the stepwise removal of the ψV donors not only reduces and eventually abolishes Ig gene conversion, but also activates AID-dependent Ig hypermutation."16  The pseudogenes are spare-part libraries.  Their stop codons do not matter, because they are never meant to be read on their own.  This is function in the strictest sense, and it has been textbook immunology for decades.

HBBP1 is the human case that holds up best.  It is covered in Part 4 with the named cases.

PTENP1 is the famous case, and it replicated only in part.  In 2010 Laura Poliseno, Pier Paolo Pandolfi and colleagues reported in Nature that PTENP1, a processed copy of the tumour-suppressor gene PTEN, soaks up the microRNAs that would otherwise shut PTEN down:  "We find that PTENP1 is biologically active as determined by its ability to regulate cellular levels of PTEN, and that it can exert a growth-suppressive role."41  A 2016 review said this "competing endogenous RNA" idea "has gained substantial attention as a unifying function for long non-coding RNAs, pseudogene transcripts and circular RNAs".42  In 2020 the Reproducibility Project:  Cancer Biology repeated the key experiments in the same cell line with the original siRNA pools.  Its editors' summary:  "This Replication Study has reproduced some parts of the original paper but it also contains results that are not consistent with other parts of the original paper."19  Silencing PTENP1 still made the cells grow faster as a main effect, "F(1,16) = 13.8, p=0.0019".  But the fall in PTEN messenger RNA that was the whole proposed mechanism was small and not significant, a relative level of 0.883.19  A separate objection concerns the dose.  Denzler and colleagues counted microRNA molecules and binding sites in mouse liver cells and concluded that "a ceRNA effect mediated through a single miRNA family in a physiological or disease setting of the liver is unlikely", because a decoy would need to add tens of thousands of binding sites per cell to matter.43  That was not measured on PTENP1, but it applies to any low-abundance decoy.

Braf-rs1 caused cancer in mice, at an unnatural dose.  Karreth, Pandolfi and colleagues built mice that make the mouse BRAF pseudogene on command.  On the drug that switched it on, they "became moribund and had to be sacrificed after a median survival of 421 days".38  The authors are candid that the natural pseudogene is far rarer than the transgene:  "While endogenous Braf-rs1 expression was between 6–115-fold lower than B-Raf, expression of transgenic Braf-rs1 was comparable to B-Raf".38  That shows what the RNA can do in excess.  It does not show what the pseudogene does in a healthy mouse.

Mouse eggs make small RNAs from pseudogenes.  Tam, Hannon and colleagues sequenced small RNAs from about 6,000 mouse oocytes and showed that "a subset of pseudogenes generates endogenous small interfering RNAs (endo-siRNAs) in mouse oocytes."  When the Dicer enzyme was removed, target genes rose:  "Loss of Dicer, a protein integral to small RNA production, increases expression of endo-siRNA targets, demonstrating their regulatory activity."39  Watanabe and colleagues reported the same system in the same issue of Nature.44  This is a real regulatory role, but no single pseudogene was removed, and the authors say "we cannot distinguish whether these small RNAs direct target cleavage or whether the act of siRNA production per se, which consumes the coding mRNA, is sufficient for repression."39

The CRISPRi screen is the largest test, and the hardest to read.  Sun and colleagues silenced the promoters of 850 pseudogenes that are expressed in breast cancer cells and grew the cells for three weeks.  "We identified 69 pseudogene hits (out of 850 pseudogenes) that were negatively selected in MCF7 cells", 8.1%.  None helped growth when silenced.  They tested four one at a time and rescued the effect by adding back the pseudogene's cDNA.21  But in 15 of the 69 hits the parent gene was a hit too, which raises the question whether the reagent silenced both.21  And a cancer cell line in a dish is not an organism:  it shows that switching off these transcripts hurts that line's growth, not what they do in a body.

Makorin1-p1 is the cautionary tale.  In 2003 Hirotsune and colleagues reported in Nature that a transgene landing near the mouse pseudogene Makorin1-p1 reduced its transcription and so destabilised the parent gene's RNA "in trans", giving mice cystic kidneys and bone deformity.45  It became the founding example of a regulatory pseudogene.  In 2006 Gray, Wilson, Fortin and Nicholls tested it directly and found the opposite on every count:  "Mkrn1-p1 is not transcribed and therefore cannot stabilize Mkrn1 transcripts in trans", and "mice in which Mkrn1 has been directly disrupted show none of the phenotypes attributed to a partial reduction of Mkrn1."20  Wells reported both papers.  He called the result "controversial" and argued that "Invalidating a report of one function in one pseudogene cannot exclude other possible functions in that pseudogene, much less possible functions in other pseudogenes."2  That is logically correct, and it is also no evidence for any other function.  The creationist case leaned on this result more than any other.  Woodmorappe's 2003 note "Pseudogene function:  more evidence" was built on it, reporting that Hirotsune's team "had inadvertently disrupted the regulatory effects of the Makorin1-p1 pseudogene upon the expression of the Makorin1 gene."46  His 2004 paper still used it as the example of a function no substitution test would find.35  Both papers came before Gray's 2006 test, so Woodmorappe was reporting the literature as it then stood.  The lesson for both sides is the same:  one unrepeated experiment is a lead, not a result.

How many?

No one keeps a list.  The search for this article found no database of experimentally confirmed functional pseudogenes:  the resources that exist, such as PseudoFuN and dreamBase, are built from computed links or high-throughput data, not from curated experiments.  The reviews that argue for function list cases one by one.  Pink and colleagues' 2011 review in RNA names about a dozen, and its own conclusion is careful:  "While not all pseudogenes (or even all transcribed pseudogenes) will have biological functions, it is likely that, where an unexpected regulatory benefit results from the formation of a pseudogene, the effect will be conserved."47  Cheetham, Faulkner and Dinger's 2020 review in Nature Reviews Genetics says only that "growing numbers of pseudogenes are being found to play important biological roles."48

Counting generously, every individually tested pseudogene in this Part, Part 4 and the reviews comes to a few dozen, and the CRISPRi screen adds 69 hits in one cell line.  Against about 14,700 human pseudogenes, that is well under 1%.

That number measures how little has been tested as much as how little works.  Most pseudogenes have never been deleted, silenced or overexpressed by anyone.  Cheetham and colleagues argue that the label itself discourages the work:  calling something a pseudogene "has led to their frequent dismissal from functional assessment and exclusion from genomic analyses."48  Moran answers that this is a reasonable use of scarce money:  "If some researcher suspects that the label is incorrect then the burden of proof is on them to show that the DNA has a function."1  Both are right about part of it.  The untested majority is untested, not tested and found empty.

The definitional dodge

Dan Graur, an evolutionary biologist at Houston, wrote in 2013 that pseudogenes "by definition" are nonfunctional, so "The measly handful of 'pseudogenes' that have so far been assigned a tentative function ... are, by definition, functional genes, merely pseudogene look-alikes."24  This makes the claim that pseudogenes are junk impossible to test, because any counter-example is reclassified.  Moran is more careful:  "The question is not whether some DNA regions that look like pseudogenes have a function.  This is a fact."1  The fair way to frame the question is his:  are the working ones exceptions, or is the label wrong for most?  On present data they are exceptions, and the large untested remainder leaves the question open in principle.

Part 4: The named cases

Four pseudogenes carry most of the public argument.  Each is also used as evidence that humans share ancestors with other animals, and that question is argued in Shared Genetic Mistakes and Common Ancestry and, for humans and chimpanzees, in Shared Retroviruses and Pseudogenes, which reviews all three human cases in detail.  This Part asks only whether each does anything.

Case What it was Mainstream claim Design-side claim Measured function?
HBBP1 a beta-globin copy between the fetal and adult globin genes disabled duplicate "highly functional" yes, by deletion of its region
Vitellogenin (VIT1) remnant fragments of an egg-yolk gene on human chromosome 1 molecular fossil of egg-laying ancestors an enhancer inside another gene no
Enamelin (ENAM) in toothless animals a broken tooth-enamel gene molecular fossil of lost teeth none found no, and none claimed
GULO the last enzyme of vitamin C synthesis unitary pseudogene, broken in anthropoid primates "might have an entirely different function" no

HBBP1: the relic that does something

HBBP1 sits in the beta-globin cluster on chromosome 11.  It is a copy of a globin gene with a broken start codon, a premature stop and a frameshift, and it makes no globin.  Jeffrey Tomkins of the Institute for Creation Research argued in 2013 that it "appears to be a highly functional and cleverly integrated feature of the human genome that is intolerant of mutation."49  The 2017 volume made the same case more briefly, saying its similarity "is not due to protein coding but appears to involve regulation of developmental changes via chromosomal interactions."13

Four lines of evidence now support them.

  1. Population constraint. Moleirinho and colleagues sequenced the cluster in 1,092 people from the 1000 Genomes Project and found that "HBD and its neighbor pseudogene HBBP1 have mainly evolved under purifying selection, suggesting that their roles are essential and nonredundant."50
  2. Deletion of the region. Huang, Blobel and colleagues cut the HBBP1 region out of adult human red-cell precursors with CRISPR. The locus folded more like a fetal one, and these changes were "accompanied by strong increases in γ-globin transcription."17 HBBP1's DNA helps keep fetal haemoglobin switched off in adults.
  3. The RNA. In 2021 a Beijing group led by Yanni Ma reported in Developmental Cell that HBBP1 "is essential for erythropoiesis", by binding a protein called HNRNPA1 and raising a master regulator of red-cell development, TAL1.18 The RNA is plentiful where red cells are made: it is "expressed exclusively in bone marrow and particularly in bone marrow erythroblasts".18 Deleting the whole locus, or only its start site, in human embryonic stem cells cut the number of early red-cell colonies from about 58 to about 2.18 To tell the RNA from the DNA, the team broke the RNA's splicing while leaving the locus in place, and red-cell development still failed; HBBP1 RNA made from elsewhere in the genome partly rescued cells lacking the locus.18 A correction to the paper was published in 2025.
  4. Disease. The same team measured HBBP1 in the blood of 303 patients with β-thalassaemia, an inherited anaemia, and found that "higher levels of HBBP1 and TAL1 transcripts were associated with milder β-thalassemia symptoms". The authors call these "preliminary data".18 Tomkins had cited, in 2013, "three different reports that link point mutations in the HBBP1 gene with β-thalassemia disease pathologies."49 The patient data point the same way.

So the design side was right that HBBP1 works, right that its RNA does something, and right before the decisive experiments were published.  Three parts of the story still need care.

First, the laboratories disagree on one point.  Moleirinho had found HBBP1 "either marginally or not transcribed at all" in the cells they studied,50 which Ma's data from developing red cells now contradict for those cells.  Huang removed only the transcript's start site in a cultured adult red-cell line and saw no change in globin switching:  "the HBBP1 genomic region, but not the HBBP1 transcript per se, is necessary for maintaining γ-globin silencing in adult erythroid cells."17  Ma's team used different mutations and measured a different outcome, red-cell formation rather than globin switching, so both results may stand.  No one has yet tested both kinds of mutation side by side.

Second, every RNA result comes from one laboratory, in cells grown in a dish or human cells grown in mice.  The case that the RNA matters in a whole human body rests on the thalassaemia association, which its authors call preliminary.

Third, the job is human-specific.  Ma's team found HBBP1 RNA absent from chimpanzee blood and concluded that "HBBP1 has been functionless for the majority of its evolution but has recently acquired its function as a human-specific essential regulator of erythropoiesis."18  That cuts against the 2017 volume's suggestion that the human and chimpanzee copies are alike because they do the same job.  So does Moleirinho's own table:  human and chimpanzee HBBP1 exons differ at 1.45% of sites, more than the working genes beside them, HBB at 0.26% and HBD at 0.80%.50  What is unusually low is variation among humans, not divergence between species.  A creationist can read the chimpanzee result as a designed difference between two kinds.  Either reading leaves the chimpanzee copy carrying the same disabling lesions as the human one, which is the ancestry question.

HBBP1 also shows the limit of the function argument.  A sequence can be a disabled copy of a globin gene and a working piece of chromatin architecture at once.  The second fact does not erase the first, and it says nothing either way about how humans and chimpanzees came to share it.

Vitellogenin: no function shown

Birds make egg yolk with three vitellogenin genes.  In 2008 Brawand, Wahli and Kaessmann looked for them in mammals at the matching place in the genome, beside the same neighbouring genes, and found broken fragments in humans, dogs, armadillos and other placentals.  They reported that "Exon 3 of VIT1 reveals shared indels between human and dog", which they read as inactivation before those lineages split.51  Dennis Venema made it the centrepiece of the BioLogos case for common descent.52

Tomkins answered in 2015 that the human fragment "is not a pseudogene remnant at all, but a functional enhancer element in the fifth intron of a 'genomic address messenger' (GAM) gene."22  His evidence for the host gene is a computer prediction, "the gene prediction software Genscan".  His evidence that GAM genes work is that they "have been demonstrated to selectively inhibit the translation of known target genes", for which his reference is a United States patent held by Rosetta Genomics.22  A patent is not an experiment on this locus.  No study that deleted, silenced or tested the human VIT1 fragment was found.

Venema conceded part of this:  "Even though the evidence that this sequence is functional in humans is rather thin, the main issue is that even if its function were convincingly demonstrated in the future, it would not remove the evidence that this sequence was once part of a functional VIT gene".53  On the function question, "rather thin" is generous.  The claim of function is a hypothesis with no measurement behind it.  The relic reading is the only one with data, and a future enhancer in that intron, if one is found, would be a new job for some of the DNA, not proof that it was never a yolk gene.

Enamelin: no function claimed

Enamelin is a protein needed to build tooth enamel.  Meredith, Springer and colleagues predicted in 2009 that toothless and enamel-less mammals would carry broken copies, and found "'molecular fossils' of the enamelin (ENAM) gene in four different orders of placental mammals (Tubulidentata, Pholidota, Cetacea, Xenarthra)".  They concluded that "The molecular decay of ENAM parallels the morphological degeneration of enamel in the fossil record of placental mammals".54  In 2014 the same group found inactivating mutations in tooth genes shared across modern bird orders, "indicating that the common ancestor of modern birds lacked mineralized teeth."55  Al-Hashimi and colleagues identified the chicken's broken enamelin copy.56

No design or creationist author was found who claims a function for any enamelin pseudogene, and no study testing one was found.  Wells's book does not discuss enamel.  So enamelin is not a "relic turned out to be doing something" case.  It is an argument from decay, and whether its pattern shows common ancestry belongs to the ancestry articles.  A young-earth reading would treat a broken enamel gene in a toothless animal as loss after creation, which needs no function at all.

GULO: no function shown, and the leading creationist paper agrees

Most mammals make their own vitamin C.  Humans cannot, because the gene for the last enzyme, L-gulono-γ-lactone oxidase, is broken.  Nishikimi and colleagues cloned the human remnant in 1994 and concluded that it "has accumulated a large number of mutations without selective pressure since it ceased to function during evolution."57  The human copy keeps about five of the rat gene's twelve exons, with stop codons and frameshifts in what remains.  Drouin and colleagues, reviewing vitamin C loss across vertebrates, admit that "The nature of the initial mutations which inactivated the anthropoid primate and guinea pig GLO genes is not known."58

What does the design side claim?

  1. Don Criswell, in an Institute for Creation Research article of 2007, proposed that the remnant "might have an entirely different function than the rat gene", while granting that "the exact role of pseudogene sequences in the genome are not known by any scientist."59
  2. Jonathan McLatchie, in 2013, proposed that GULO might be switched on in early life with its RNA edited past the stop codons, noting that "there are in fact some data to suggest that vitamin C may in fact be produced endogenously" in infants.60 No edited GULO transcript has been reported.
  3. Wells, in 2011, argued that function had not been ruled out, but conceded: "The strongest statement that could be warranted by the evidence would be that we do not currently know of a function for the vitamin C pseudogene."2
  4. Tomkins's 2014 paper in Answers Research Journal, the fullest creationist treatment, does not claim a function at all. It reports that "no GULO transcripts have been detected" and that the region is "polycomb-repressed" and "transcriptionally inactive".23 His argument is about whether humans and apes lost the gene separately, which belongs to the ancestry articles.

The public expression data agree with Tomkins.  In GTEx, the largest survey of gene activity across normal human tissues, the GULO pseudogene's median level is exactly zero in 19 of 54 tissues and at most 0.49 transcripts per million, in the fallopian tube.61  That is below the cut-off of 1 transcript per million that Jiang, Borsari and Gerstein used to call a pseudogene expressed,33 in every tissue.  A few reads at that level can come from mapping noise.

So a claim sometimes repeated online, that creationists have shown GULO is "partially transcribed" or functional, is not supported by any creationist primary found for this article.  One secondary essay attributes the "partially transcribed" idea to Tomkins;62 Tomkins's own paper says the opposite.  On present evidence GULO is what both sides' primary sources say it is:  a broken gene the body tolerates.  Tomkins's title calls it evidence for "genetic entropy", the young-earth idea that genomes decay over time,23 which is a reading that needs no function.

Part 5: What the numbers support

The tally

Evidence Count Share of about 14,700 Source
Function shown by a test of the pseudogene itself a few dozen cases, several disputed or only partly replicated well under 1% Parts 3 and 4
Slowed cancer-cell growth when silenced 69 of 850 tested 0.5% of all; 8.1% of those tested Sun 202121
Conserved beyond the neutral rate 1,019 about 7% Pei 20125
Protein-level selection 4.9% of transcribed, 0.49% of untranscribed about 1.4%, computed with 20% transcribed Xu and Zhang 201611
Transcribed in normal adult tissue about 1,500 transcripts about 10% Jiang 202633
Typed "transcribed" in the reference annotation 2,940 about 20% GENCODE release 504
Any sign of activity: RNA, open chromatin, or factor binding all but the "dead" group about 80% Sisu 20147

Read down the table and the numbers grow as the evidence weakens.  About four in five pseudogenes show some biochemical sign of activity, in Sisu's words "Contrary to the actual definition of pseudogenes ('dead genomic elements'), this group comprises only ∼20% of the total pseudogenes."7  About one in five is transcribed somewhere.  About one in fifteen is conserved beyond the neutral rate.  Well under one in a hundred has a function shown by experiment.

That gives the answer to the article's question in three layers:

  1. Measured function: a few dozen pseudogenes, under 1%. Real, including at least one human case, HBBP1, that matters for a common disease.
  2. Activity or constraint without a test: roughly 10% to 30%, depending on whether one counts transcription in normal tissue, transcription anywhere, or conservation. These are candidates. Some will turn out to work, and some are transcriptional noise or copies too young to have drifted.
  3. No evidence either way: the large remainder. These pseudogenes have never been deleted, silenced or overexpressed. Class-wide tests make most of them look like copies decaying without constraint, but the sharpest of those tests sees only protein-level selection, and none can see a job done by DNA structure alone.

What each side may fairly claim

The junk side may fairly say that most pseudogenes show no sign of selection, that the processed majority are mostly lineage-specific copies that look "dead on arrival",5 and that the best-known regulatory claim, Makorin1-p1, collapsed when tested.  It may not say that pseudogenes are nonfunctional "by definition".  It should drop the habit of treating the untested majority as tested.

The design side may fairly say that function has been found where people looked, including in a case its own writers predicted (HBBP1);  that the pseudogene label discouraged testing for decades;  and that most pseudogenes are untested.  It may not say that "most" pseudogenes are functional, which no measurement supports.  It should stop counting transcription as function and stop citing the "60 percent" mouse-human figure.

What a young-earth reading predicts

A young-earth model does not need pseudogenes to work.  On that model, genomes were created whole and have lost information since.  Robert Carter, who writes on human genetics for Creation Ministries International, put it this way in 2009:  "young-earth creationists do not require the entire genome to be highly functional", and some stretches may "just add temporal structure to the functional parts."63  Unitary pseudogenes like GULO, and broken enamel genes in toothless animals, fit that expectation without any function at all.  Tomkins's GULO paper reads the vitamin C gene that way.23

Processed pseudogenes are harder.  Sisu and colleagues describe the human set as reflecting "a massive burst of retrotranspositional activity at the dawn of the primates".7  No creationist account of where these copies came from was found.  Woodmorappe states the working assumption:  "Creationist scientists (including me) generally assume that God would not create purposeless genes in different primates, and that God did not independently disable the same genes in humans and nonhuman primates during the Curse."  He also says plainly that "Not enough is yet known about eukaryotic genomes to construct a comprehensive creationist model of pseudogenes."64  No later creationist model was found.  That leaves two options, and neither is free.

Created in place.  This is where Woodmorappe's assumption leads.  It predicts that most processed pseudogenes have jobs, and for most of them the evidence is absent.  Carter's "temporal structure" would let them be spacers whose exact sequence does not matter, which would fit their neutral-looking decay.  But it does not say why a spacer would look exactly like a messenger RNA copied back into DNA:  no introns, the remains of a poly-A tail, and a working parent gene elsewhere in the genome.

Inserted since creation.  No creationist model proposes this for most of them, so the figures that follow are for scale only.  The human genome holds 10,634 processed pseudogenes.3  Six thousand years is about 240 generations of 25 years, so inserting them all would take about 44 new copies in every generation.  Today's rate has been measured directly.  Feusier and colleagues sequenced 599 people in three-generation Utah families and found 26 new insertions of mobile DNA of every kind in 437 births, about one per 17 births.  None was a processed pseudogene;  such events, they write, "are rare".6565  Across the living population, Abyzov and colleagues catalogued 174 gene copies that are present in some people and absent in others, among almost 1,000 genomes.66  So even if every new insertion of every kind were a processed pseudogene, today's rate falls short by a factor of more than 700, before any copy has to spread from one person to everyone.67  A model of this kind needs a burst of gene copying far above today's rate, concentrated in the first generations, and no mechanism for one has been proposed.  It also has to explain why apes carry so many of the same copies at the same places, which is the question Shared Retroviruses and Pseudogenes takes up.

A young-earth reader should also notice that the conservation evidence cuts both ways.  This site's Functional DNA is Evidence of Design argues that a lack of conservation implies nothing unless evolution is assumed.  By the same logic, conservation between humans and mice, where it exists, is evidence of function only on the assumption that the two share an ancestor and have been separate long enough for neutral DNA to drift.  On a young-earth timescale, neither the presence nor the absence of conservation says much about pseudogene function, and the case has to be made by experiment.  The experiments so far support function for a few dozen and say nothing about the rest.

Objections and responses

1.  "Most pseudogenes have simply not been tested.  Every time someone looks, a function turns up."  The first sentence is true and the second is not.  When Sun and colleagues silenced 850 expressed pseudogenes at once, 69 slowed the growth of one cancer line and 781 did not.21  When Gray and colleagues tested Makorin1-p1, the function vanished.20  When the PTENP1 experiments were repeated, part of the result held and the proposed mechanism did not.19  Looking turns up function in a minority of the cases looked at.  That is a reason to keep looking, and no reason to assume the answer for the untested majority.

2.  "Transcription in specific tissues at specific times is the mark of regulated, functional RNA."  Specific patterns are what one would expect of functional RNA, and they are also what one gets when a pseudogene sits inside or near a gene that is itself switched on in that tissue.  The ENCODE pilot tested the difference directly and found that transcribed pseudogenes are no more constrained than untranscribed ones.6  About half of the pseudogenes expressed in normal tissue are seen in only one tissue.33  Transcription marks a candidate.  It does not mark a function.

3.  "Pseudogenes are nonfunctional by definition, so any example is just a misnamed gene."  This is Graur's position.24  It defines the question away.  If "pseudogene" means "sequence that looks like a broken gene", then whether pseudogenes work is an empirical question with a partly positive answer.  If it means "broken gene with no function", then no one can know whether a sequence is a pseudogene until every possible function has been excluded, which Cheetham and colleagues point out is never done.48  Moran's framing, that the question is how common the exceptions are, is the scientific one.1

4.  "Pseudogenes are conserved across species, which proves they have a function."  A minority are.  Most processed pseudogenes are not shared even with mice:  only about 1% of human pseudogenes have mouse orthologs,7 and the 60% figure sometimes quoted for this is the wrong way round.14  Conservation also rests on the mainstream timescale, which a young-earth reader does not grant.

5.  "HBBP1 shows that the whole pseudogene argument for evolution has collapsed."  HBBP1 shows that one pseudogene's DNA does a job, and on one laboratory's evidence its RNA does too.  It does not show that the other 14,700 do, and it does not settle how humans and chimpanzees came to share it.  Its RNA job is also human-specific on that laboratory's evidence, so it cannot explain why the chimpanzee carries the same broken copy.  Moran's point applies:  that some pseudogenes work "is a fact";1 the question is how many.

6.  "The design side predicted function for pseudogenes, and evolutionists predicted junk.  Function was found, so design wins."  The prediction ledger is set out in this site's Functional versus Junk DNA Predictions.  For pseudogenes specifically, both predictions have partial support:  most pseudogenes look inactive on class-wide tests, and some have important jobs.  A prediction that "many of these mysterious features will turn out to have important functions",13 made without a number, cannot be scored against a count until someone says how many "many" is.

7.  "Function does not matter.  Shared broken genes prove common ancestry whether or not they do anything."  The ancestry argument is a separate argument, made in Shared Genetic Mistakes and Common Ancestry.  But function does matter to it in one way.  The ancestry argument's force comes from the claim that the shared feature is pointless, the way a shared misspelling is.  Where a pseudogene turns out to work, as HBBP1 does, that rhetorical force is gone, even though the shared position still needs explaining.  Where it does not work, as GULO does not, the argument stands or falls on the ancestry evidence alone.

8.  "The 2017 book's mistake about mouse pseudogenes is a small slip in a long book."  It is one sentence, but it was the sentence that carried the paragraph's argument, that similarity implies "a sequence-dependent essential function".  The book's authors repeated a peer-reviewed review accurately;  the review is where the inversion happened.  The error should be fixed in any future edition, and design writers should not repeat it.

9.  "Creationists say GULO is transcribed and may still work."  No creationist primary found for this article says that with data.  The leading creationist paper on GULO says the region is "transcriptionally inactive",23 and the GTEx data put it below the usual expression cut-off in every tissue.61  The proposals of a function, Criswell's and McLatchie's, are hypotheses without measurements.

Issues and unanswered questions

  1. No one has counted the cases. No curated database of experimentally confirmed functional pseudogenes was found. The "few dozen" in this article is a count of the cases found in the primary papers and reviews read here, and it could be low. A systematic literature count, with each case scored by the strength of its test, would settle it.
  2. Several key papers were read only as abstracts. The full texts of Cheetham 2020, Watanabe 2008, Hirotsune 2003, Balakirev and Ayala 2003, Zhang 2004 and Meredith 2014 were not obtained, nor was the text of the 2025 correction to Ma 2021. Nothing is quoted from them beyond their abstracts. Zhang 2004's body might qualify its "60%"; the abstract is clear, but the full text should be read.
  3. The CRISPRi screen cannot tell RNA from DNA, or pseudogene from parent. In 15 of its 69 hits the parent gene was also a hit,21 and silencing a promoter can also quiet neighbouring genes. The screen is in one cancer line. A screen in normal cells, with deletion rather than silencing, has not been done.
  4. The ceRNA dose problem is unresolved for pseudogenes. Denzler's count was made on one microRNA in liver cells.43 Whether PTENP1 is ever abundant enough in a real cell to matter has not been measured in the papers read here.
  5. The transcribed fraction depends on the denominator. Sisu's "∼15%" cannot be reproduced from its own human count,7 and estimates range from 8% to 20% depending on tissue, method and threshold.
  6. No test sees DNA-level function in bulk. Substitution-ratio tests detect protein-level selection only, and knockdowns remove RNA, not DNA. HBBP1's job is done by its DNA region, and only a deletion found it. How many other pseudogenes have such a job is unknown, and no genome-wide deletion screen of pseudogene DNA exists.
  7. GULO transcription has not been settled with long reads. The short-read GTEx signal is near background. A long-read or unique-mapping study of the locus would close the question.
  8. The young-earth origin of processed pseudogenes has no published model. Woodmorappe said in 2000 that none could yet be built,64 and none was found since. Part 5 prices the two options. Created copies predict a function that the evidence does not show for most of them, and leave their marks of reverse transcription unexplained. Copies inserted since creation need more than 700 times today's total rate of new insertions, even on assumptions that favour the model.67 A young-earth model of pseudogenes would have to choose between these, or find a third option, and test it.

Verdict

Are pseudogenes broken relics, or do many of them do something?  Both, in proportions that can now be stated.  A few dozen human pseudogenes have a function shown by experiment, and at least one, HBBP1, matters for human disease.  Roughly a tenth to a third show transcription or constraint that marks them as candidates.  The rest, most of the 14,700, have no evidence of function, and the tests that have been run across them look like what neutral decay would produce.  They have also never been tested one by one.

Of the named cases, HBBP1 is a true "relic turned out to be doing something".  Vitellogenin, enamelin and GULO are not:  no function has been measured for any of them, and for GULO the design side's own best paper agrees.

Neither side's slogan survives.  Bergman's conclusion that "most of them have a function"25 outruns every count.  The claim that pseudogenes are nonfunctional "by definition" is not a finding.  The defensible statement is narrower, and both Moran and Wells have made half of it:  some pseudogenes clearly work, and for most of them no function is known.

For the debate over design, pseudogenes are a small prize.  Their exons are 0.36% of the genome, and the case that most human DNA is functional, made in Functional DNA is Evidence of Design, does not depend on them.  A young-earth model expects some genes to have broken since creation and loses nothing if most pseudogenes are dead.  What it cannot do is claim pseudogenes as evidence of design on the present data, or treat the shared positions of broken genes as answered by function.  That second question is argued in Shared Genetic Mistakes and Common Ancestry.

Sources


  1. 1.

    Moran, Laurence A.  “Are pseudogenes really pseudogenes?”  Sandwalk.  Jan 8, 2020.  Moran's reply to Cheetham, Faulkner and Dinger's 2020 review in Nature Reviews Genetics, which argued that the pseudogene label should be treated as a hypothesis.  Moran argues the burden of proof belongs on whoever claims function.

    1. 1a.

      Section post body:  “There are roughly 15,000 annotated pseudogenes in the human genome and they cover about 5% of the genome.” ↩

    2. 1b.

      Section post body:  “The question is not whether some DNA regions that look like pseudogenes have a function.  This is a fact.  The real question is whether these regions are exceptions to the general rule that a pseudogene is a pseudogene or whether most pseudogenes have been mislabeled.” ↩ ↩ ↩ ↩

    3. 1c.

      Section post body:  “If some researcher suspects that the label is incorrect then the burden of proof is on them to show that the DNA has a function.” ↩

  2. 2.

    Wells, Jonathan.  The Myth of Junk DNA.  Discovery Institute Press.  2011.  A short book by a Discovery Institute biologist arguing that the case for junk DNA is a myth that is being overturned by research.  Its fifth chapter is a catalogue of reported pseudogene functions, and its appendix answers the vitamin C pseudogene argument for common ancestry.

    1. 2a.

      Page 53:  “Other biologists later challenged the Makorin-1 pseudogene results, which remain controversial.”  Page 81:  “Invalidating a report of one function in one pseudogene cannot exclude other possible functions in that pseudogene, much less possible functions in other pseudogenes.” ↩

    2. 2b.

      Page 113:  “The strongest statement that could be warranted by the evidence would be that we do not currently know of a function for the vitamin C pseudogene.” ↩ ↩

  3. 3.

    GENCODE consortium.  “Statistics about the current GENCODE Release (version 50).”  GENCODE.  Jun 2026.  The reference human gene annotation used by Ensembl and the ENCODE project.  Its statistics page counts each kind of gene in the current release, drawn from the main chromosomes only.

    1. 3a.

      Section General stats:  “Protein-coding genes 19442”.  “Pseudogenes 14702”.  “- processed pseudogenes 10634”.  “- unprocessed pseudogenes 3535”.  “- unitary pseudogenes 296”. ↩ ↩ ↩ ↩ ↩ ↩

  4. 4.

    Counted for this article by research/gencode-pseudogene-count.ts from the GENCODE release 50 comprehensive annotation (gencode.v50.annotation.gtf.gz, June 2026), skipping the duplicate Y-chromosome copies of the pseudoautosomal region.  It counts 15,199 genes of every pseudogene type, which is GENCODE's 14,702 plus 497 ribosomal-RNA pseudogenes.  Merged exon bases:  11,025,779, or 0.36% of 3.1 billion.  Merged gene spans, which add the introns of duplicated and unitary pseudogenes:  41,222,722, or 1.33%.  Genes typed "transcribed" or "translated":  2,940, 19.3% of the 15,199.  Output in research/gencode-v50-pseudogene-count.tsv. ↩ ↩ ↩ ↩

  5. 5.

    Pei, Baikang et al.  “The GENCODE pseudogene resource.”  Genome Biology 13(9):R51.  2012.  The reference description of human pseudogenes from the GENCODE annotation team and Mark Gerstein's Yale group.  It combined manual curation with two automated pipelines, then laid ENCODE data on transcription, chromatin and transcription-factor binding over the result, and compared each pseudogene with its counterparts in chimpanzee and mouse.  Mirror:  PMC

    1. 5a.

      Section Results, Assignment of pseudogenes:  “We call these 11,216 pseudogenes the 'surveyed set'.  The set contains 138 unitary pseudogenes.”  Section Results, Pseudogene statistics:  “With this approach, we estimated that the number of pseudogenes in the human genome is 14,112 (Figure 2).” ↩ ↩

    2. 5b.

      Section Results, Transcription of pseudogenes:  “Thus, 876 transcribed pseudogenes were identified that include 531 processed and 345 duplicated ones.  We consider this to be a conservative estimate of the total number of transcribed pseudogenes, since each of the pipelines had fairly stringent selection parameters.”  Section Materials and methods:  “In the end, this study focused on 10,523 pseudogenes, where 876 are transcribed pseudogenes.” ↩ ↩

    3. 5c.

      Section Results, Evolutionary constraint on pseudogenes:  “There are 1,019 conserved pseudogenes identified in the human genome.  The conserved group is enriched with transcribed pseudogenes (195 conserved pseudogenes are transcribed, P-value = 1.19 × 10-35), strongly implying biological function.  Duplicated and processed pseudogenes are differentially conserved; 28.1% of duplicated pseudogenes and 3.4% of processed pseudogenes are conserved.  This difference is due to the fact that most processed pseudogenes are lineage-specific, and also that most of them are dead on arrival.” ↩ ↩ ↩ ↩ ↩

  6. 6.

    Zheng, Deyou et al.  “Pseudogenes in the ENCODE regions: consensus annotation, analysis of transcription, and evolution.”  Genome Research 17(6):839–851.  2007.  The ENCODE pilot's study of the pseudogenes in its 44 sample regions, about 1% of the genome.  Five annotation methods agreed on 201 pseudogenes, which were then tested for transcription with RACE, tiling arrays and other assays, and for constraint with conservation and substitution-ratio tests.  Mirror:  PMC

    1. 6a.

      Page 842:  “Altogether, these data indicate that 38 (19% of 201, 20 nonprocessed and 18 processed) pseudogenes are the sources of novel RNA transcripts.  This may well represent a low-bound estimate and does not include the ambiguous and possibly inconclusive cases supported only by transfrags.” ↩ ↩

    2. 6b.

      Page 844:  “The overall sequence decay rate of pseudogenes is very similar to that of neutrally evolving DNA.” ↩

    3. 6c.

      Page 848:  “Finally, our study found that the transcribed pseudogenes did not show significantly different evolutionary constraints compared to those not transcribed as measured by Ka/Ks, SNP density”. ↩ ↩

  7. 7.

    Sisu, Cristina et al.  “Comparative analysis of pseudogenes across three phyla.”  Proceedings of the National Academy of Sciences USA 111(37):13361–13366.  2014.  An ENCODE comparison of complete pseudogene sets in human, worm and fly, with zebrafish, mouse and macaque added for context.  It measured transcription from RNA sequencing, chromatin marks and transcription-factor binding for each pseudogene, and counted which human pseudogenes have counterparts in mouse.  It describes activity markers, not tested function.  Mirror:  PMC

    1. 7a.

      Page 13362, figure 1A:  The figure labels give 12,358 human pseudogenes. ↩

    2. 7b.

      Page 13363, section Results, Transcription:  “Analyzing RNA-Seq data, we find 1,441, 143, and 23 potentially transcribed pseudogenes in human, worm, and fly, respectively.”  “These numbers represent a fairly uniform fraction (∼15%) of the total pseudogene complement in each organism.”  1,441 of the paper's 12,358 human pseudogenes is 11.7%, so the denominator behind the "∼15%" is not the full human set;  the paper does not print it. ↩ ↩ ↩

    3. 7c.

      Page 13362:  “At population level, we do not find any statistically significant enrichment in pseudogenes for these SNPs over the genomic average”. ↩

    4. 7d.

      Page 13363:  “We find that only 129 (∼1%) of the human pseudogenes have mouse orthologs.” ↩ ↩ ↩

    5. 7e.

      Page 13363, section Results, Activity features:  “Contrary to the actual definition of pseudogenes (“dead genomic elements”), this group comprises only ∼20% of the total pseudogenes.  On the other extreme, some, albeit very few, pseudogenes (<5%) are transcribed and simultaneously exhibit all other activity features, despite the presence of disruptive mutations.”  The "dead" group is the one "with no indicators of activity", measured by transcription, active chromatin, and RNA polymerase or transcription-factor binding. ↩ ↩

    6. 7f.

      Page 13361, section Significance:  “Specifically, the human pseudogene complement reflects a massive burst of retrotranspositional activity at the dawn of the primates, whereas the worm’s and fly's repertoire reflects a history of deactivated duplications.” ↩

  8. 8.

    Troskie, Robin-Lee et al.  “Long-read cDNA sequencing identifies functional pseudogenes in the human transcriptome.”  Genome Biology 22:146.  2021.  Long-read sequencing of full-length RNA from human tissues and cell lines, which can tell a pseudogene transcript from its parent's where short reads cannot.  The authors tested two pseudogenes for translation in cultured cells.  The title's "functional" rests on that small test, and the count of transcribed pseudogenes is from a sample, not a census.  Mirror:  PMC

    1. 8a.

      Section Results and discussion:  “We identified 1170 transcripts, each supported by at least two full-length reads, that overlapped 521 processed pseudogenes.”  “Two hundred twenty pseudogenes (318 transcripts) transcribed in sense (the same orientation as their parent gene) were independent (non-intronic and have greater overlap with the pseudogene than other gene models) of known genes, only 43 of which were previously annotated as transcribed pseudogenes in Gencode”. ↩ ↩

  9. 9.

    Svensson, Örjan et al.  “Genome-wide survey for biologically functional pseudogenes.”  PLoS Computational Biology 2(5):e46.  2006.  A Swedish computational search for pseudogenes that have been kept since before the human and mouse lineages split, using groups of four sequences (a gene and its pseudogene in each species).  The authors were looking for function and found it rare.  Mirror:  PMC

    1. 9a.

      Section Synopsis:  “That a pseudogene is transcribed is not sufficient evidence of biological function.” ↩ ↩

    2. 9b.

      Section Discussion:  “The results we present suggest that while functional pseudogenes are relatively rare on a long evolutionary timescale, they nevertheless exist.”  Section Results:  “To summarize, we have 30 quartets for which the sequences suggest that: 1) the pseudogenes are evolutionarily conserved since before the human and mouse speciation; 2) they have been pseudogenes since prior to the speciation.” ↩

  10. 10.

    Ji, Zhe et al.  “Many lncRNAs, 5'UTRs, and pseudogenes are translated and some are likely to express functional proteins.”  eLife 4:e08890.  2015.  A ribosome-profiling study from Harvard and the Broad Institute, which maps where ribosomes sit on RNA to find which RNAs are translated.  The authors say most of the peptides from non-coding RNAs may be unstable by-products, and only some likely to be functional.  Mirror:  PMC

    1. 10a.

      Section Results, Features and conservation of pseudogene peptides:  “However, out of 426 expressed pseudogenes (~3% of those annotated), 155 (36%) are translated into peptides longer than 10 aa.” ↩ ↩

  11. 11.

    Xu, Jinrui, and Jianzhi Zhang.  “Are human translated pseudogenes functional?”  Molecular Biology and Evolution 33(3):755–760.  2016.  A test from Jianzhi Zhang's evolutionary-genomics lab at Michigan of whether pseudogenes known to make peptides are under selection at the protein level, by comparing protein-changing with silent differences between human and macaque copies.  Zhang's lab also found the human gene resurrections cited in Part 1, so it is not an anti-function lab.  Mirror:  PMC

    1. 11a.

      Page 755, section Abstract:  “Intriguingly, a recent human proteomic study reported peptides encoded by 107 pseudogenes.”  “Hence, neither ORF disruption nor presence of protein product disproves or proves gene functionality at the protein level.” ↩ ↩

    2. 11b.

      Page 755, section Abstract:  “In particular, five of 34 translated pseudogenes amenable to evolutionary analysis have ω values significantly lower than 1, indicative of the action of purifying selection.”  Page 756:  “When using the same FDR = 8% as the cutoff, we found 4.9% of transcribed pseudogenes and 0.49% of nontranscribed pseudogenes to have ω values significantly lower than 1.” ↩ ↩ ↩

    3. 11c.

      Page 755:  “But because biochemical activities may have no fitness benefit, proof of a true biological function requires the demonstration that the activity or the pseudogene is under natural selection (Doolittle 2013; Graur et al. 2013; Doolittle et al. 2014).  No such proof has been provided in the case of PTENP1.” ↩

  12. 12.

    Balasubramanian, Suganthi et al.  “Comparative analysis of processed ribosomal protein pseudogenes in four mammalian genomes.”  Genome Biology 10(1):R2.  2009.  A count of pseudogenes of ribosomal-protein genes, the largest pseudogene family in mammals, in human, chimpanzee, mouse and rat, with a test of which copies sit at matching places in two species.  Mirror:  PMC

    1. 12a.

      Section Abstract:  “Each organism has a large number of ribosomal protein pseudogenes (approximately 1,400 to 2,800).”  “Analysis of pseudogenes in syntenic regions between species shows that most are conserved between human and chimpanzee, but very few are conserved between primates and rodents.  Interestingly, syntenic pseudogenes have a lower rate of nucleotide substitution than their surrounding intergenic DNA.” ↩

    2. 12b.

      Table 2:  “Human-chimpanzee 1,282 Human-mouse 6 Human-rat 11 Mouse-rat 394”.  Number of processed ribosomal-protein pseudogenes found in syntenic regions. ↩ ↩

  13. 13.

    Theistic Evolution: A Scientific, Philosophical, and Theological Critique.  Crossway.  Edited by J. P. Moreland, Stephen C. Meyer, Christopher Shaw, Ann K. Gauger and Wayne Grudem.  2017.  A 1,000-page critique of theistic evolution by intelligent-design scientists, philosophers and theologians.  Chapter 15, by the biologist Ann Gauger, the statistician Ola Hössjer and the mathematician Colin Reeves, is the book's main discussion of pseudogenes and junk DNA.

    1. 13a.

      Page 498, chapter 15:  “There are more than eight thousand processed pseudogenes in the human genome; 60 percent are very similar in mouse and human.  The fact that their sequences are so similar means that they are likely to have a sequence-dependent essential function, so that their sequence cannot be changed without harm.”  The chapter's note for this sentence cites Wen et al. 2012. ↩ ↩

    2. 13b.

      Page 498, chapter 15:  “As an example, a pseudogene in the beta-globin cluster of genes in humans shows evidence of sequence similarity within and between the human and chimpanzee populations.  The similarity is not due to protein coding but appears to involve regulation of developmental changes via chromosomal interactions.”  The chapter cites Moleirinho et al. 2013. ↩

    3. 13c.

      Page 497, chapter 15:  “In contrast, proponents of intelligent design predict that, if our genomes were designed, then many of these mysterious features will turn out to have important functions.” ↩

  14. 14.

    Zhang, Zhaolei et al.  “Comparative analysis of processed pseudogenes in the mouse and human genomes.”  Trends in Genetics 20(2):62–67.  2004.  A Yale comparison of processed pseudogenes in the newly sequenced mouse genome with those already catalogued in human, asking which arose before and which after the two lineages split.

    1. 14a.

      Section Abstract:  “We have systematically identified approximately 5000 processed pseudogenes in the mouse genome, and estimated that approximately 60% are lineage specific, created after the mouse and human diverged.” ↩ ↩ ↩

  15. 15.

    Reynaud, Claude-Agnès et al.  “A hyperconversion mechanism generates the chicken light chain preimmune repertoire.”  Cell 48(3):379–388.  1987.  The Paris study that sequenced the chicken lambda light-chain locus and rearranged genes from embryonic and young birds, and showed that chickens diversify their single working antibody V gene by copying segments from a pool of upstream pseudogenes.

    1. 15a.

      Section Abstract:  “it comprises 25 V-hybridizing elements, all of which are pseudogenes, clustered in both orientations within 19 kb of DNA, starting 2.4 kb upstream of the V lambda 1 gene.”  “diversification of light chain sequences occurs during ontogeny by a segmental gene conversion mechanism which takes place at a frequency of 0.05-0.1 per cell generation between the pseudogene pool and the unique rearranged functional V gene.” ↩ ↩

  16. 16.

    Arakawa, Hiroshi et al.  “Activation-induced cytidine deaminase initiates immunoglobulin gene conversion and hypermutation by a common intermediate.”  PLoS Biology 2(7):e179.  2004.  A study in the chicken B-cell line DT40, which keeps diversifying its antibody gene in culture.  The authors deleted the 25 upstream pseudogenes in steps and sequenced the working gene in the resulting cells.  It is one laboratory and one cell line, not a living bird.  Mirror:  PMC

    1. 16a.

      Page 0967, section Abstract:  “We show that the stepwise removal of the ψV donors not only reduces and eventually abolishes Ig gene conversion, but also activates AID-dependent Ig hypermutation.”  ψV means pseudo-V gene. ↩ ↩ ↩

  17. 17.

    Huang, Peng et al.  “Comparative analysis of three-dimensional chromosomal architecture identifies a novel fetal hemoglobin regulatory element.”  Genes & Development 31(16):1704–1713.  2017.  A study from Gerd Blobel's laboratory at the Children's Hospital of Philadelphia that mapped which parts of the beta-globin locus touch each other in fetal and adult red-cell precursors, then used CRISPR to delete candidate regions in adult cells.  It made two deletions:  the whole HBBP1 region, and only the start site of the HBBP1 transcript.  Mirror:  PMC

    1. 17a.

      Page 1704, section Abstract:  “Deletion of the HBBP1 region in adult cells alters contact landscapes in ways more closely resembling those of fetal cells, including increased LCR–γ-globin contacts.  These changes are accompanied by strong increases in γ-globin transcription.” ↩ ↩ ↩

    2. 17b.

      Page 1709:  “We generated two independent clones with biallelic deletions, and in both of them, HBBP1 expression was lost … However, β-globin and γ-globin transcription remained at control levels (Fig. 5B–D), suggesting that the HBBP1 genomic region, but not the HBBP1 transcript per se, is necessary for maintaining γ-globin silencing in adult erythroid cells.” ↩

  18. 18.

    Ma, Yanni et al.  “Genome-wide analysis of pseudogenes reveals HBBP1's human-specific essentiality in erythropoiesis and implication in β-thalassemia.”  Developmental Cell 56(4):478–493.e11.  Feb 22, 2021.  A laboratory study from Beijing that screened human pseudogenes for expression mainly in bone marrow, singled out HBBP1, and tested its RNA in five human systems:  embryonic stem cells with the whole locus or only its start site deleted, RNA knockdown in cord-blood and adult bone-marrow cells, mice carrying human blood cells, and splice-site mutants with a rescue test in a red-cell line.  It finds the RNA essential for red-cell development, links its level to milder disease in 303 β-thalassaemia patients, and finds it absent from chimpanzee blood.  It is the strongest test of a human pseudogene's RNA, and it comes from one laboratory.  A correction was published in 2025.

    1. 18a.

      Section Abstract:  “Extensive functional assays demonstrated that HBBP1 is essential for erythropoiesis by binding the RNA-binding protein (RBP), HNRNPA1, to upregulate TAL1, a key regulator of erythropoiesis.”  “Comparative studies further indicated that the HBBP1/TAL1 interaction is human-specific.” ↩

    2. 18b.

      Page 481:  “we confirmed that HBBP1 was expressed exclusively in bone marrow and particularly in bone marrow erythroblasts”. ↩

    3. 18c.

      Page 481:  “we also detected fewer early erythroid-committed progenitors, i.e., burst-forming unit-erythroid colonies (BFU-E) from either … cells in comparison with WT cells (approximately 2 versus 58) … Collectively, deletion of the HBBP1 locus or impairment of its transcription leads to defective erythroid-lineage commitment.”  The first omission names the two mutant lines, one with the whole locus deleted and one with only the 260-base transcription start site deleted. ↩

    4. 18d.

      Page 481:  “Although the knockdown data indicated the HBBP1 transcripts’ functionality, the knockout phenotype could be explained by HBBP1’s endogenous transcription especially considering that this locus contains regulatory elements that mediate long-range chromatin interactions”.  Page 482:  “these mutations completely eliminated mature HBBP1 transcripts … Both cell lines showed decreased expression of globin genes as well as decreased hemoglobin levels … HBBP1 knockout leads to inhibition of erythroid differentiation, and its overexpression partially rescued the phenotype”.  The first passage is the authors raising the DNA-against-RNA problem themselves, citing Huang 2017.  The second reports the splice-site mutants and the rescue test they ran to separate the two. ↩ ↩ ↩

    5. 18e.

      Page 486:  “By analyzing blood samples from 303 β-thalassemia patients, we found consistent results … higher levels of HBBP1 and TAL1 transcripts were associated with milder β-thalassemia symptoms”.  “In summary, these preliminary data suggest that the HBBP1/TAL1 interaction facilitates the reactivation of γ-globin and contributes to milder β-thalassemia symptoms.” ↩

    6. 18f.

      Page 486:  “More interestingly, HBBP1 was also not or poorly expressed in chimpanzee RNA-seq samples.  To confirm this, we examined five additional blood samples from chimpanzees by qRT-PCR and observed the consistent absence of HBBP1”.  “The lack of evolutionary constraint on the gene sequence, expression, and motif suggests that HBBP1 has been functionless for the majority of its evolution but has recently acquired its function as a human-specific essential regulator of erythropoiesis.” ↩

  19. 19.

    Kerwin, John et al.  “Replication Study: A coding-independent function of gene and pseudogene mRNAs regulates tumour biology.”  eLife 9:e51019.  2020.  An independent, pre-registered repeat of the key PTENP1 experiments of Poliseno 2010, run in the same DU145 cell line with the original siRNA pools, by the Reproducibility Project:  Cancer Biology.  A plasmid had to be rebuilt, so one experiment used a different construct.  Mirror:  PMC

    1. 19a.

      Section Editors' summary:  “This Replication Study has reproduced some parts of the original paper but it also contains results that are not consistent with other parts of the original paper.” ↩ ↩ ↩ ↩

    2. 19b.

      Section Results, Cell growth assay following siRNA transfection:  “The ANOVA result was statistically significant for the PTENP1 main effect (F(1,16) = 13.8, p=0.0019).”  “mean relative expression = 0.883), which was not statistically significant (t(16) = 0.78, uncorrected p=0.448, corrected p>0.99).”  The 0.883 is PTEN messenger RNA after PTENP1-specific siRNA, relative to control. ↩

  20. 20.

    Gray, Todd A. et al.  “The putatively functional Mkrn1-p1 pseudogene is neither expressed nor imprinted, nor does it regulate its source gene in trans.”  Proceedings of the National Academy of Sciences USA 103(32):12039–12044.  2006.  A direct test of the Makorin1-p1 claim by a Wadsworth Center and Pittsburgh team, using DNA methylation, transcription assays, imprinting tests and mice in which the parent gene Mkrn1 itself was disrupted.  Mirror:  PMC

    1. 20a.

      Page 12039, section Abstract:  “Here, we show that 5' Mkrn1-p1 is fully methylated on both alleles, a pattern indicative of silenced chromatin, and that Mkrn1-p1 is not transcribed and therefore cannot stabilize Mkrn1 transcripts in trans.”  “Finally, mice in which Mkrn1 has been directly disrupted show none of the phenotypes attributed to a partial reduction of Mkrn1.” ↩ ↩ ↩ ↩

  21. 21.

    Sun, Mengbiao et al.  “Systematic functional interrogation of human pseudogenes using CRISPRi.”  Genome Biology 22:240.  2021.  A pooled CRISPR-interference screen from the MD Anderson Cancer Center that switched off the promoters of 850 pseudogenes expressed in breast cancer cells and measured which slowed the growth of MCF7 cells over 21 days.  Four hits were tested singly, with rescue by adding back the pseudogene.  One cell line, and a fitness readout in culture.  Mirror:  PMC

    1. 21a.

      Page 5:  “we identified 69 pseudogene hits (out of 850 pseudogenes) that were negatively selected in MCF7 cells”.  “we did not find any significant positively selected genes in the screen”.  Pages are those of the journal's PDF, numbered out of 29. ↩ ↩ ↩ ↩ ↩

    2. 21b.

      Page 6:  “out of the 69 pseudogene and 69 parent gene hits, 15 pseudogenes and their corresponding parent genes were both identified as hits”. ↩ ↩

  22. 22.

    Tomkins, Jeffrey P.  “Challenging the BioLogos claim that a vitellogenin (egg-laying) pseudogene exists in the human genome.”  Answers Research Journal 8:403–411.  2015.  Tomkins's reply to Venema, arguing from sequence identity and genome-browser tracks that the human vitellogenin fragment is part of a regulatory element in a predicted gene rather than the remnant of an egg-yolk gene.

    1. 22a.

      Section Abstract:  “is not a pseudogene remnant at all, but a functional enhancer element in the fifth intron of a 'genomic address messenger' (GAM) gene.” ↩

    2. 22b.

      “the gene prediction software Genscan”.  “have been demonstrated to selectively inhibit the translation of known target genes”.  The reference for the second statement is Bentwich 2007, United States Patent 7,250,496, held by Rosetta Genomics. ↩ ↩

  23. 23.

    Tomkins, Jeffrey P.  “The human GULO pseudogene:  evidence for evolutionary discontinuity and genetic entropy.”  Answers Research Journal 7:91–101.  2014.  The fullest creationist treatment of the human vitamin C remnant, comparing the human, chimpanzee and gorilla regions and the transposable elements around them, and using chromatin and expression data to describe the locus.

    1. 23a.

      Section Human GULO is Degenerate and Chromatin Repressed:  “no GULO transcripts have been detected”.  “Chromatin state mapping shows that the region is polycomb-repressed (discussed below) and transcriptionally inactive”. ↩ ↩ ↩

    2. 23b.

      The paper's title is "The Human GULO Pseudogene:  Evidence for Evolutionary Discontinuity and Genetic Entropy." ↩ ↩

  24. 24.

    Graur, Dan et al.  “On the immortality of television sets: "function" in the human genome according to the evolution-free gospel of ENCODE.”  Genome Biology and Evolution 5(3):578–590.  2013.  A polemical reply from Dan Graur's group to the ENCODE consortium's 2012 claim that 80% of the human genome is functional.  Its section on transcription argues that pseudogenes, introns and mobile elements are transcribed without being functional.  Mirror:  PMC

    1. 24a.

      Page 581:  “Pseudogenes come in many flavors (e.g., processed, duplicated, unitary) and, by definition, they are nonfunctional.  The measly handful of “pseudogenes” that have so far been assigned a tentative function (Sassi et al. 2007; Chan et al. 2013) are, by definition, functional genes, merely pseudogene look-alikes.”  Page 582:  “Hence, regardless of their transcriptional or translational status, pseudogenes are nonfunctional!” ↩ ↩ ↩

  25. 25.

    Bergman, Jerry.  “The origins and genetic functions of pseudogenes.”  Creation Research Society Quarterly 49:308–318.  2013.  A review by a young-earth creationist biologist arguing that most pseudogenes have functions.  Its evidence is conservation, transcription and the published cases of pseudogene regulation;  it gives no count of how many pseudogenes have a tested function.

    1. 25a.

      Page 312:  “The ENCODE project has documented several levels of function in many pseudogenes (Birney, 2012), including transcription, contradicting the once common conclusion that most pseudogenes lost transcribed activity”. ↩ ↩

    2. 25b.

      Page 311, section Similarity Indicates Function:  “The fact that many pseudogenes are highly conserved (similar in both so-called primitive and advanced lifeforms)—and many are very similar in humans and other organisms—supports the conclusion that most of them have a function.” ↩

  26. 26.

    Moran, Laurence A.  “How many pseudogenes in the human genome?”  Sandwalk.  Apr 14, 2026.  A blog post by a University of Toronto biochemistry professor who has argued for two decades that about 90% of the human genome is junk.  It sets out the four kinds of pseudogene, reviews how the human count has changed with the programs used to find them, and comments on a 2026 pipeline that found 28,790.

    1. 26a.

      Section post body:  “There are four kinds of pseudogenes.”  The four are duplicated, processed, unitary and polymorphic, each described in the following paragraphs of the post. ↩

    2. 26b.

      Section post body:  “Early attempts with the human genome gave results ranging from more than 18,000 to a little over 11,000 depending on the program that was used.”  “A comparison of the pseudogenes detected by various groups revealed surprisingly little overlap so the actual number of pseudogenes could have been as low as 7,000 (Harrow et al., 2012).” ↩

    3. 26c.

      Section post body:  “Cabanac et al. detected 28,790 pseudogenes and that's far more than the number currently annotated in the latest reference genome.”  “I don't think that fragments of degenerate transposon genes should really be counted as pseudogenes.” ↩

  27. 27.

    Torrents, David et al.  “A genome-wide survey of human pseudogenes.”  Genome Research 13(12):2559–2567.  Dec 2003.  A computer survey from Peer Bork's group at EMBL that screened every stretch of DNA between known genes for copies of known proteins, then used the ratio of protein-changing to silent substitutions to judge whether each copy evolves like a working gene or like neutral DNA.  The test detects selection on a protein, not on DNA or RNA.  Mirror:  PMC

    1. 27a.

      Page 2559:  “identified 19,724 regions of which 95% ± 3% are estimated to evolve neutrally and thus are likely to encode pseudogenes.”  “70% of these pseudogenes have a retrotranspositional origin (processed)”. ↩ ↩

  28. 28.

    Zhang, Zhaolei et al.  “Millions of years of evolution preserved: a comprehensive catalog of the processed pseudogenes in the human genome.”  Genome Research 13(12):2541–2558.  Dec 2003.  The first genome-wide catalogue of human processed pseudogenes, from Gerstein's group at Yale, built by matching known proteins against the draft genome and keeping matches with no introns.  Mirror:  PMC

    1. 28a.

      Page 2551:  “It is probably a little unexpected that >8000 processed pseudogenes were found, which is ∼40% of the total number of annotated functional human genes.” ↩ ↩

  29. 29.

    Moran, Laurence A.  “Different kinds of pseudogenes - are they really pseudogenes?”  Sandwalk.  Nov 18, 2015.  The opening post of Moran's series on pseudogene types.  It quotes the abstracts of five papers that argue for pseudogene function and answers them as a group.

    1. 29a.

      Section post body:  “The Alu elements in the human genome are derived from 7SL RNA and there are similar elements in the mouse genome that are derived from tRNA genes.” ↩

  30. 30.

    Moran, Laurence A.  “Pseudogenes Are Pseudogenes and They Are Almost Always Junk.”  Sandwalk.  Aug 20, 2012.  Moran's reply to the 2012 review "Pseudogenes are not pseudo any more" and to its use by intelligent-design websites.

    1. 30a.

      Section post body:  “(Pseudogenes represent about 1% of the genome [What's in Your Genome? ] so even if we assume that every single pseudogene is not a pseudogene, it hardly makes a dint in the amount of junk DNA.)” ↩

  31. 31.

    Zhang, Zhengdong D. et al.  “Identification and analysis of unitary pseudogenes: historic and contemporary gene losses in humans and other primates.”  Genome Biology 11(3):R26.  2010.  A Yale and Sanger search for human genes that are broken while their counterparts work in other mammals.  It dated each loss by comparing the broken copy with working orthologs, and checked human variation data for genes still broken in only some people.

    1. 31a.

      Section Abstract:  “In total, we identify 76 unitary pseudogenes, including previously annotated ones, and many novel ones.”  “the functional genes appear to be disabled at a fairly uniform rate throughout primate evolution”.  “Comparing them with their orthologs in other primates, we find that two of them are in fact pseudogenes in non-human primates, suggesting that they represent cases of a gene being resurrected in the human lineage.” ↩

  32. 32.

    Kalyana-Sundaram, Shanker et al.  “Expressed pseudogenes in the transcriptional landscape of human cancers.”  Cell 149(7):1622–1634.  2012.  A search of RNA sequencing data from 248 cancer and 45 benign samples across 13 tissues for reads that match pseudogenes rather than their parent genes, from Arul Chinnaiyan's cancer-genomics group at Michigan.  Cancer cells transcribe much DNA that is silent in normal cells, so this is a ceiling for transcription, not a normal-tissue figure.  Mirror:  PMC

    1. 32a.

      Section Introduction, last paragraph:  “This integrative approach provided evidence of expression for 2,082 distinct pseudogenes, which displayed lineage-specific, cancer-specific, as well as ubiquitous expression patterns.”  Section Results:  “we observed 218 pseudogenes expressed only in cancer samples”.  Pages 2 and 6 of the NIH author manuscript. ↩

  33. 33.

    Jiang, Yuqi et al.  “Epigenetic characterization of pseudogenes across human tissues.”  Genome Research.  2026.  A survey from Gerstein's group of transcription and chromatin marks at pseudogenes in the EN-TEx samples, 26 normal adult tissues from the same four donors studied by ENCODE and GTEx.  It counts expressed pseudogene transcripts and asks whether they carry the promoter marks of active genes.  It does not test function.

    1. 33a.

      Page 13:  “we included a total of 14,253 pseudogenes, 17,624 lncRNAs, and 106,643 protein-coding transcripts”.  “our estimates of pseudogene abundance and transcription were consistent with previous reports that identified ~10% of all pseudogenes as detectably expressed”.  Page 29, table 2:  Table 2 gives 1,511 unique pseudogene transcripts expressed at 1 TPM or more across the 26 tissues;  1,511 of 14,253 is 10.6%.  Page numbers are those of the author manuscript. ↩ ↩ ↩

    2. 33b.

      Page 13:  “Transcripts with an average expression ≥ 1 TPM across donors and technical replicates were retained”. ↩

  34. 34.

    Milligan, Michael J. et al.  “Global intersection of long non-coding RNAs with processed and unprocessed pseudogenes in the human genome.”  Frontiers in Genetics 7:26.  2016.  A computational study from Wayne State University and the University of New South Wales that overlaid three public pseudogene catalogues on two catalogues of long non-coding RNAs and counted the places where their exons overlap, then checked those against sequenced RNA fragments.  It also merged the pseudogene catalogues into one list of about 20,945 loci.  It measures overlap and transcription, not function, though its conclusion speaks of regulation.  Mirror:  PMC

    1. 34a.

      Section Abstract:  “We identified 2277 loci containing exon-to-exon overlaps between pseudogenes, both processed and unprocessed, and long non-coding RNA genes. Of these loci we identified 1167 with Genbank EST and full-length cDNA support providing direct evidence of transcription on one or both strands with exon-to-exon overlaps.”  “Collectively, these observations suggest that pseudogenes are pervasively transcribed on both strands and are common drivers of gene regulation.”  Section Conclusions:  “We have non-redundantly integrated pseudogenes from three public sources, arriving at approximately 20945 non-redundant pseudogene loci”. ↩

  35. 35.

    Woodmorappe, John.  “Potentially decisive evidence against pseudogene ‘shared mistakes’.”  TJ 18(3):63–69.  2004.  A creationist reply to Edward Max's essay on pseudogenes as evidence of common descent.  It argues that the ratio of protein-changing to silent substitutions cannot show that a pseudogene lacks function, that only experiment can, and that some disabling mutations shared by different species arose independently.  Its main example of a function the ratio test would miss is Makorin1-p1.

    1. 35a.

      Pages 64–65:  “Clearly, the potential or actual function of a pseudogene can only be determined by direct experiment, and it is high time that evolutionists abandoned KA/Ks as a ground for the a priori discounting of pseudogene function.”  Page 65:  “it is plain to see that pseudogenes generally appear to lack function primarily because very few of them have been carefully studied for function. It is no more complicated than that!” ↩

    2. 35b.

      Page 64:  “The Makorin1-p1 murine pseudogene performs a function completely different from that of its peptide-encoding paralogous (counterpart) gene, and it is very doubtful if any analysis of the KA/KS of the Makorin1-p1 pseudogene would cause the analyst to realize that this ‘severely crippled’ pseudogene is actually functional.” ↩

  36. 36.

    Khachane, Amit N., and Paul M. Harrison.  “Assessing the genomic evidence for conserved transcribed pseudogenes under selection.”  BMC Genomics 10:435.  2009.  A McGill study that pooled human pseudogene annotations, kept those with damage in mid-sequence and with full-length RNA evidence, and then tested them for conservation in five other mammals and for signs of selection.  Mirror:  PMC

    1. 36a.

      Section Abstract, Results:  “We found 1750 such transcribed pseudogene annotations (TPAs) in the human genome (corresponding to ~11.5% of human pseudogene annotations).”  “About half of the human TPAs are conserved in rhesus monkey, but strikingly, very few in mouse (~3%).”  Section Abstract, Conclusion:  “and have pinpointed 68 strong candidates for further investigation as potentially functional transcribed pseudogenes across multiple mammal species.” ↩

  37. 37.

    Wen, Yan-Zi et al.  “Pseudogenes are not pseudo any more.”  RNA Biology 9(1):27–32.  2012.  A short point-of-view review by parasitologists at Sun Yat-sen University with the evolutionary geneticist Francisco Ayala, surveying reports of pseudogene transcription and regulation in trypanosomes, mice and plants and arguing that pseudogenes should no longer be treated as junk.

    1. 37a.

      Section Abundance and Conservation:  “In addition, comparative analysis of processed pseudogenes in the mouse and human genomes has surprisingly demonstrated that 60% of the processed pseudogenes are conserved in both mammalian species.”  “The high abundance and conservation of the pseudogenes in a variety of species indicate that selective pressures preserve these genetic elements, and suggest that they may indeed perform important biological functions.”  The first sentence cites reference 13, Zhang, Carriero and Gerstein 2004. ↩

  38. 38.

    Karreth, Florian A. et al.  “The BRAF pseudogene functions as a competitive endogenous RNA and induces lymphoma in vivo.”  Cell 161(2):319–332.  2015.  A study from Pandolfi's laboratory in which mice were engineered to make the mouse BRAF pseudogene, Braf-rs1, when fed a drug, with human cell-line experiments on the human BRAF pseudogene.  It is an overexpression study;  no mouse lacking the pseudogene was made.  Mirror:  PMC

    1. 38a.

      Section Results:  “Following 4 months of Dox treatment, TRE-BPS; CAG-rtTA3 mice became moribund and had to be sacrificed after a median survival of 421 days”.  Page 5 of the author manuscript. ↩

    2. 38b.

      Section Results:  “While endogenous Braf-rs1 expression was between 6–115-fold lower than B-Raf, expression of transgenic Braf-rs1 was comparable to B-Raf”.  Page 5 of the author manuscript. ↩ ↩

  39. 39.

    Tam, Oliver H. et al.  “Pseudogene-derived small interfering RNAs regulate gene expression in mouse oocytes.”  Nature 453:534–538.  2008.  Deep sequencing of small RNAs from mouse egg cells by Gregory Hannon's laboratory, which mapped many to pseudogenes, with expression measured in oocytes lacking the Dicer enzyme.  No single pseudogene was deleted.  Mirror:  PMC

    1. 39a.

      Section Abstract:  “Here we show that a subset of pseudogenes generates endogenous small interfering RNAs (endo-siRNAs) in mouse oocytes.”  “Loss of Dicer, a protein integral to small RNA production, increases expression of endo-siRNA targets, demonstrating their regulatory activity.” ↩ ↩

    2. 39b.

      Section main text, on Dicer loss:  “At present, we cannot distinguish whether these small RNAs direct target cleavage or whether the act of siRNA production per se, which consumes the coding mRNA, is sufficient for repression.”  Page of the author manuscript. ↩

  40. 40.

    Rapicavoli, Nicole A. et al.  “A mammalian pseudogene lncRNA at the interface of inflammation and anti-inflammatory therapeutics.”  eLife 2:e00762.  2013.  A study from Howard Chang's laboratory at Stanford of pseudogene RNAs switched on by inflammatory signals in mouse fibroblasts.  It tested one, named Lethe, with two antisense knockdowns and with overexpression.  No mouse lacking Lethe was made.  Mirror:  PMC

    1. 40a.

      Section Abstract:  “These findings suggest that expression of pseudogenes lncRNAs are actively regulated and constitute functional regulators of inflammatory signaling.” ↩

  41. 41.

    Poliseno, Laura et al.  “A coding-independent function of gene and pseudogene mRNAs regulates tumour biology.”  Nature 465(7301):1033–1038.  2010.  The paper that proposed that RNAs regulate each other by competing for the same microRNAs, using PTEN and its processed pseudogene PTENP1 in DU145 prostate cancer cells, with siRNA knockdown and overexpression.  Mirror:  PMC

    1. 41a.

      Section Abstract:  “We find that PTENP1 is biologically active as determined by its ability to regulate cellular levels of PTEN, and that it can exert a growth-suppressive role.” ↩

  42. 42.

    Thomson, Daniel W., and Marcel E. Dinger.  “Endogenous microRNA sponges: evidence and controversy.”  Nature Reviews Genetics 17:272–283.  2016.  A review of the evidence for and against the idea that RNAs regulate each other by competing for microRNAs.  Its abstract reports both growing support and the stoichiometry objection.  Only the abstract was available for this article.

    1. 42a.

      Section Abstract:  “This hypothesis has gained substantial attention as a unifying function for long non-coding RNAs, pseudogene transcripts and circular RNAs, as well as an alternative function for messenger RNAs.”  “Empirical evidence supporting the hypothesis is accumulating but not without attracting scepticism.” ↩

  43. 43.

    Denzler, Rémy et al.  “Assessing the ceRNA hypothesis with quantitative measurements of miRNA and target abundance.”  Molecular Cell 54(5):766–776.  2014.  A study from the Stoffel and Bartel laboratories that counted microRNA molecules and their binding sites per cell in mouse liver cells, then added binding sites in measured amounts to find how many it takes to free the microRNA's other targets.  It did not test PTENP1 or any pseudogene.

    1. 43a.

      Section Discussion:  “Together, our data imply that a ceRNA effect mediated through a single miRNA family in a physiological or disease setting of the liver is unlikely.”  Page 8 of the author manuscript.  The threshold the authors measured was about 1.5 × 10^5 added sites per cell for miR-122. ↩ ↩

  44. 44.

    Watanabe, Toshiaki et al.  “Endogenous siRNAs from naturally formed dsRNAs regulate transcripts in mouse oocytes.”  Nature 453:539–543.  2008.  A Japanese study published beside Tam 2008 that found the same pseudogene-derived small RNAs in mouse oocytes and measured their loss in oocytes lacking Dicer or Ago2.  Only the abstract was available for this article.

    1. 44a.

      Section Abstract:  “Some precursor transcripts of siRNAs are derived from expressed pseudogenes, indicating that one role of pseudogenes is to adjust the level of the founding source mRNA through RNAi.” ↩

  45. 45.

    Hirotsune, Shinji et al.  “An expressed pseudogene regulates the messenger-RNA stability of its homologous coding gene.”  Nature 423:91–96.  2003.  The first widely cited report of a pseudogene regulating its parent, from a mouse line in which a transgene had landed near the Makorin1-p1 pseudogene.  Only the abstract was available for this article.

    1. 45a.

      Section Abstract:  “This insertion reduced transcription of Makorin1-p1, resulting in destabilization of Makorin1 mRNA in trans by way of a cis-acting RNA decay element within the 5' region of Makorin1 that is homologous between Makorin1 and Makorin1-p1.” ↩

  46. 46.

    Woodmorappe, John.  “Pseudogene function: more evidence.”  TJ 17(2):15–18.  2003.  A short note in the creationist journal now called Journal of Creation.  It presents the 2003 Makorin1-p1 mouse result as evidence that pseudogenes regulate their parent genes, and so that a shared pseudogene need not be a shared mistake.  The result it rests on was refuted in 2006.

    1. 46a.

      Page 16:  “They noticed that the expression of the mouse’s Makorin1 gene was altered, and eventually realized (and demonstrated by experiment) the fact that they had inadvertently disrupted the regulatory effects of the Makorin1-p1 pseudogene upon the expression of the Makorin1 gene.” ↩

  47. 47.

    Pink, Ryan Charles et al.  “Pseudogenes: pseudo-functional or key regulators in health and disease?”  RNA 17(5):792–798.  2011.  A review from Oxford Brookes University that argues pseudogenes regulate their parent genes, collecting the published cases of knockdown and overexpression.

    1. 47a.

      Page 796, section Conclusions:  “While not all pseudogenes (or even all transcribed pseudogenes) will have biological functions, it is likely that, where an unexpected regulatory benefit results from the formation of a pseudogene, the effect will be conserved.” ↩

  48. 48.

    Cheetham, Seth W. et al.  “Overcoming challenges and dogmas to understand the functions of pseudogenes.”  Nature Reviews Genetics 21:191–201.  2020.  A review by Australian genome biologists arguing that the pseudogene label has been applied without proof of non-function and has kept pseudogenes out of functional studies.  Only the abstract was available for this article.

    1. 48a.

      Section Abstract:  “Although often presumed to lack function, growing numbers of pseudogenes are being found to play important biological roles.”  “has led to their frequent dismissal from functional assessment and exclusion from genomic analyses.” ↩ ↩ ↩

  49. 49.

    Tomkins, Jeffrey P.  “The human beta-globin pseudogene is non-variable and functional.”  Answers Research Journal 6:293–301.  2013.  A paper by a young-earth geneticist at the Institute for Creation Research that used public variation and expression data to argue HBBP1 is functional:  low variation within humans, association with thalassaemia severity, and transcription in many cell types.

    1. 49a.

      Section Abstract:  “Instead of being a useless genomic fossil according to evolutionary predictions, the HBBP1 gene appears to be a highly functional and cleverly integrated feature of the human genome that is intolerant of mutation.” ↩

    2. 49b.

      Section Abstract:  “Highlighting the lack of HBBP1 sequence variability is genetic data from three different reports that link point mutations in the HBBP1 gene with β-thalassemia disease pathologies.” ↩

  50. 50.

    Moleirinho, Ana et al.  “Evolutionary constraints in the β-globin cluster: the signature of purifying selection at the δ-globin (HBD) locus and its role in developmental gene regulation.”  Genome Biology and Evolution 5(3):559–571.  2013.  A population-genetic study from Porto that sequenced the beta-globin cluster in European and African samples, added 1,092 genomes from the 1000 Genomes Project and ten chimpanzees, and tested each gene for the low diversity that selection leaves.  Mirror:  PMC

    1. 50a.

      Page 559, section Abstract:  “Comprehensive analyses, based on classic neutrality tests, empirical and haplotype-based studies, revealed that HBD and its neighbor pseudogene HBBP1 have mainly evolved under purifying selection, suggesting that their roles are essential and nonredundant.” ↩

    2. 50b.

      Page 565:  “as both are either marginally or not transcribed at all.” ↩

    3. 50c.

      Table 3, page 566:  Average human-chimpanzee nucleotide divergence, in percent:  HBD exons 0.80, introns 0.99;  HBB exons 0.26, introns 1.75;  HBBP1 exons 1.45, introns 1.04. ↩

  51. 51.

    Brawand, David et al.  “Loss of egg yolk genes in mammals and the origin of lactation and placentation.”  PLoS Biology 6(3):e63.  2008.  A Lausanne comparative-genomics study that searched mammalian genomes for remnants of the three chicken vitellogenin genes at the positions where their neighbouring genes predict them, and dated the losses.

    1. 51a.

      Page 0509:  “Exon 3 of VIT1 reveals shared indels between human and dog (Figure S2), which indicates that VIT1 was inactivated before the separation of the human and dog lineages”. ↩

  52. 52.

    Venema, Dennis.  “Signature in the Pseudogenes, Part 2.”  BioLogos.  May 17, 2010.  A blog post by a Trinity Western University geneticist, then a BioLogos fellow, presenting the vitellogenin remnant as a prediction of common descent that was tested and confirmed.  Mirror:  Archive.org

    1. 52a.

      Section post body:  “the mere presence of the mutated remains of a gene required for making egg yolk in the human genome should give even the most ardent anti-evolutionist pause.” ↩

  53. 53.

    Venema, Dennis.  “Vitellogenin and common ancestry:  Tomkins' false dichotomy.”  BioLogos.  Mar 24, 2016.  The third of Venema's replies to Tomkins 2015, arguing that a function for the fragment, if shown, would not undo the evidence of its origin.  Mirror:  Archive.org

    1. 53a.

      Section post body:  “Even though the evidence that this sequence is functional in humans is rather thin, the main issue is that even if its function were convincingly demonstrated in the future, it would not remove the evidence that this sequence was once part of a functional VIT gene”. ↩

  54. 54.

    Meredith, Robert W. et al.  “Molecular decay of the tooth gene enamelin (ENAM) mirrors the loss of enamel in the fossil record of placental mammals.”  PLoS Genetics 5(9):e1000634.  2009.  A sequencing study from Mark Springer's group at Riverside that read the enamelin gene in toothless and enamel-less mammals, including pangolins, anteaters, baleen whales and the aardvark, and catalogued its disabling mutations.

    1. 54a.

      Section Abstract:  “to predict the occurrence of 'molecular fossils' of the enamelin (ENAM) gene in four different orders of placental mammals (Tubulidentata, Pholidota, Cetacea, Xenarthra) with toothless and/or enamelless taxa.”  “The molecular decay of ENAM parallels the morphological degeneration of enamel in the fossil record of placental mammals”. ↩

  55. 55.

    Meredith, Robert W. et al.  “Evidence for a single loss of mineralized teeth in the common avian ancestor.”  Science 346(6215):1254390.  2014.  A comparison of tooth genes across the genomes of nearly all living bird orders, looking for disabling mutations shared by all modern birds.  Only the abstract was available for this article.

    1. 55a.

      Section Abstract:  “recovered shared, inactivating mutations within genes expressed in both the enamel and dentin of teeth of other vertebrate species, indicating that the common ancestor of modern birds lacked mineralized teeth.” ↩

  56. 56.

    Al-Hashimi, Nawfal et al.  “The enamelin genes in lizard, crocodile, and frog and the pseudogene in the chicken provide new insights on enamelin evolution in tetrapods.”  Molecular Biology and Evolution 27(9).  2010.  A Paris comparative study of the enamelin gene across tetrapods that identified the broken copy in the chicken genome.  Only the abstract was available for this article.

    1. 56a.

      Section Abstract:  “The chicken pseudogene was identified in a region that was not expected when considering the gene synteny in mammals.” ↩

  57. 57.

    Nishikimi, Morimitsu et al.  “Cloning and chromosomal mapping of the human nonfunctional gene for L-gulono-γ-lactone oxidase, the enzyme for L-ascorbic acid biosynthesis missing in man.”  Journal of Biological Chemistry 269(18):13685–13688.  1994.  The Japanese study that first cloned part of the human GULO remnant, mapped it to chromosome 8, and compared its surviving exons with the working rat gene.

    1. 57a.

      Page 13685, section Abstract:  “These findings indicate that the human nonfunctional L-gulono-gamma-lactone oxidase gene has accumulated a large number of mutations without selective pressure since it ceased to function during evolution.” ↩

  58. 58.

    Drouin, Guy et al.  “The genetics of vitamin C loss in vertebrates.”  Current Genomics 12(5):371–378.  2011.  A review from the University of Ottawa of which vertebrates have lost the ability to make vitamin C, which mutations broke the gene in each, and where the gene was later regained.  Mirror:  PMC

    1. 58a.

      Section GLO pseudogenes:  “The nature of the initial mutations which inactivated the anthropoid primate and guinea pig GLO genes is not known.” ↩

  59. 59.

    Criswell, Don.  “Adam and Eve, vitamin C, and pseudogenes.”  Acts & Facts 36(5).  Institute for Creation Research.  May 2007.  A short article by an ICR biologist proposing that the human vitamin C remnant may have another function, without data.

    1. 59a.

      Section article body:  “This DNA sequence, labeled as a pseudogene, might have an entirely different function than the rat gene.”  “but in spite of the similarities to functional genes, the exact role of pseudogene sequences in the genome are not known by any scientist.” ↩

  60. 60.

    McLatchie, Jonathan.  “A simple proposed model for function of the human vitamin C GULO pseudogene (updated).”  Evolution News.  Discovery Institute.  Aug 21, 2013.  A blog post by an intelligent-design writer proposing that GULO is expressed in early life with its RNA edited past its stop codons.  It offers a model and cites infant vitamin C levels, not GULO transcripts.

    1. 60a.

      Section post body:  “there are in fact some data to suggest that vitamin C may in fact be produced endogenously”. ↩

  61. 61.

    GTEx Consortium;  Ensembl.  GULOP (ENSG00000234770) annotation and GTEx v8 median expression by tissue.  Oct 19, 2026.  The Genotype-Tissue Expression project measured RNA in 54 tissues from hundreds of deceased donors.  Its median value for the GULO pseudogene in each tissue, with Ensembl's annotation of the locus as a unitary pseudogene, was retrieved for this article.

    1. 61a.

      54 tissues;  19 medians are exactly 0;  the highest are 0.494 transcripts per million (fallopian tube), 0.374 (sun-exposed skin) and 0.349 (unexposed skin);  the mean of the 54 medians is 0.077. ↩ ↩

  62. 62.

    Visser, Frank.  “The GULO gene controversy:  vitamin C and the debate between science and creationism.”  Integral World.  n.d.  An essay on a skeptics' website summarising the GULO debate for general readers.

    1. 62a.

      “Some creationist writers—such as Dr. Jeffrey Tomkins—have suggested that the GULO pseudogene might still have unknown functions or be partially transcribed.” ↩

  63. 63.

    Carter, Robert W.  “The slow, painful death of junk DNA.”  Creation Ministries International.  May 20, 2009.  A short popular article by a Creation Ministries International scientist, who holds a doctorate in marine biology and has published on human genetics, on a 2009 finding that many RNAs start inside transposable elements.  Its last paragraph says how much of the genome a young-earth model needs to be functional, which is why it matters here.

    1. 63a.

      Paragraph final:  “I’d like to point out that young-earth creationists do not require the entire genome to be highly functional. While I suspect that direct and indirect controls of transcription will eventually be found for most of it, there may be very large stretches of the genome that just add temporal structure to the functional parts.” ↩

  64. 64.

    Woodmorappe, John.  “Are pseudogenes ‘shared mistakes’ between primate genomes?”  CEN Technical Journal 14(3):55–71.  2000.  The fullest early creationist reply to the argument that pseudogenes shared by humans and other primates show common descent.  It argues that sequence alignment involves judgement, that the same disabling mutations can arise independently, and that retroelements favour some insertion sites.  It states the creationist assumption about pseudogenes in so many words, and says that no full creationist model of them can yet be built.

    1. 64a.

      Page 55:  “Creationist scientists (including me) generally assume that God would not create purposeless genes in different primates, and that God did not independently disable the same genes in humans and nonhuman primates during the Curse.”  Page 66:  “Not enough is yet known about eukaryotic genomes to construct a comprehensive creationist model of pseudogenes.” ↩ ↩

  65. 65.

    Feusier, Julie et al.  “Pedigree-based estimation of human mobile element retrotransposition rates.”  Genome Research 29(10):1567–1577.  2019.  Whole-genome sequences of 599 people in 33 three-generation Utah families, searched for insertions of mobile DNA present in a child and absent from both parents.  It found 26 new insertions in 437 births, the first direct pedigree measurement of these rates, and no new processed pseudogene, though its tools were not built to find them.  Mirror:  PMC

    1. 65a.

      Section Results:  “In total, we identified and PCR-validated 26 de novo MEIs, including eight L1, seven SVA, and 11 Alu insertions in 16 of 33 CEPH pedigrees”.  Section Discussion:  “From 437 births, we estimate an Alu retrotransposition rate of about 1:39.7 births (95% CI 22.4–79.4), a SVA rate of about 1:62.5 births (95% CI 30.6–153.8), and a L1 rate of about 1:62.5 births (95% CI 30.6–153.8)”. ↩ ↩

    2. 65b.

      Section Discussion:  “RUFUS and TranSurVeyor did not detect any de novo pseudogene or HERV-K (HML-2) insertions. Processed pseudogene retrotransposition events are rare (Ewing et al. 2013; Gardner et al. 2018), and tools specific to identifying these events in WGS would allow for retrotransposition rate estimates in pedigrees.” ↩

  66. 66.

    Abyzov, Alexej et al.  “Analysis of variable retroduplications in human populations suggests coupling of retrotransposition to cell division.”  Genome Research 23(12):2042–2052.  2013.  A survey, led from Yale, of about 1,000 genomes from the 1000 Genomes Project for reverse-transcribed gene copies that are present in some people and absent in others.  It found 174 such variants and showed that their parent genes tend to be active at the end of cell division.  It measures how many new processed copies are still around in the living population.  Mirror:  PMC

    1. 66a.

      Section Abstract:  “Using these methods, we catalogued and analyzed 174 retroduplication variants in almost one thousand humans, which were sequenced as part of Phase 1 of The 1000 Genomes Project Consortium.” ↩

  67. 67.

    Scale only:  no creationist model found claims that most processed pseudogenes arose after creation.  10,634 processed pseudogenes in GENCODE release 50,3 divided by 240 generations (6,000 years at 25 years each), is 44.3 new copies per generation.  Feusier and colleagues found 26 new insertions of Alu, L1 and SVA elements in 437 births, 0.0595 per birth.65  44.3 divided by 0.0595 is about 745.  Counting from the Flood, about 4,500 years ago, or using the longer generations of Genesis 5 and 11, makes the shortfall larger.  The figure also assumes that every new copy spreads to every human at once;  in a real population most new insertions are lost within a few generations. ↩ ↩