Evidence map›Paper›PMID 18085818›Full record

ArticlePLoS computational biology2007

Comparative genomics search for losses of long-established genes on the human lineage.

Jingchun Zhu, J Zachary Sanborn, Mark Diekhans, Craig B Lowe, Tom H Pringle, David Haussler

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 1 synthesis or guideline pooled it, 142 citations in OpenAlex.

  1. Pooled it
  2. Evolution of CTCF binding sites in the human genome.Molecular biology and evolution · 2026
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  5. The diploid reference genome of a human embryonic stem cell line.bioRxiv : the preprint server for biology · 2026
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  8. O-acyltransferase genes involved in the production of volatile sex pheromones inProceedings of the National Academy of Sciences of the United States of America · 2026
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  10. Review
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  12. Article
  13. ImmunoHorizons · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jingchun ZhuCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America.
J Zachary Sanborn
Mark Diekhans
Craig B Lowe
Tom H Pringle
David Haussler
University of California, Santa Cruz · US

Funding

Predoctoral Bioinformatics Training at UCSCT32GM070386 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HUGHEY, RICHARD · 2004 to 2008
$652k
Howard Hughes Medical InstituteNCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400NIGMS NIH HHS T32 GM070386
6 · The paper itself

Abstract

Taking advantage of the complete genome sequences of several mammals, we developed a novel method to detect losses of well-established genes in the human genome through syntenic mapping of gene structures between the human, mouse, and dog genomes. Unlike most previous genomic methods for pseudogene identification, this analysis is able to differentiate losses of well-established genes from pseudogenes formed shortly after segmental duplication or generated via retrotransposition. Therefore, it enables us to find genes that were inactivated long after their birth, which were likely to have evolved nonredundant biological functions before being inactivated. The method was used to look for gene losses along the human lineage during the approximately 75 million years (My) since the common ancestor of primates and rodents (the euarchontoglire crown group). We identified 26 losses of well-established genes in the human genome that were all lost at least 50 My after their birth. Many of them were previously characterized pseudogenes in the human genome, such as GULO and UOX. Our methodology is highly effective at identifying losses of single-copy genes of ancient origin, allowing us to find a few well-known pseudogenes in the human genome missed by previous high-throughput genome-wide studies. In addition to confirming previously known gene losses, we identified 16 previously uncharacterized human pseudogenes that are definitive losses of long-established genes. Among them is ACYL3, an ancient enzyme present in archaea, bacteria, and eukaryotes, but lost approximately 6 to 8 Mya in the ancestor of humans and chimps. Although losses of well-established genes do not equate to adaptive gene losses, they are a useful proxy to use when searching for such genetic changes. This is especially true for adaptive losses that occurred more than 250,000 years ago, since any genetic evidence of the selective sweep indicative of such an event has been erased.

Indexed as

Biological EvolutionEvolution, MolecularGene DeletionAnimalsChromosome MappingDNA Mutational AnalysisDogsGenetic VariationGenome, HumanGenomicsHumansMicePseudogenes

Identifiers

PMID18085818
PMCPMC2134963
OpenAlexW2048385877

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.