Evidence map›Paper›PMID 29138319›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Frequent nonallelic gene conversion on the human lineage and its effect on the divergence of gene duplicates.

Arbel Harpak, Xun Lan, Ziyue Gao, Jonathan K Pritchard

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 96 citations in OpenAlex.

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  9. Silencing RNAs expressed from W-linkedProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  14. The vitellogenin genes in Cynops orientalis: New insights on the evolution of the vtg gene family in amphibians.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2021
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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

4 authors at 1 institution in 1 country.

Arbel HarpakDepartment of Biology, Stanford University, Stanford, CA 94305; arbelh@stanford.edu pritch@stanford.edu.
Xun LanDepartment of Genetics, Stanford University, Stanford, CA 94305.
Ziyue GaoDepartment of Genetics, Stanford University, Stanford, CA 94305.
Jonathan K PritchardDepartment of Biology, Stanford University, Stanford, CA 94305; arbelh@stanford.edu pritch@stanford.edu.
Stanford University · US

Funding

Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
Decoding the regulatory architecture of the human genome across cell types, individuals and diseaseU01HG009431 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2017 to 2021
$3.5M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG008140NHGRI NIH HHS U01 HG009431
6 · The paper itself

Abstract

Gene conversion is the copying of a genetic sequence from a "donor" region to an "acceptor." In nonallelic gene conversion (NAGC), the donor and the acceptor are at distinct genetic loci. Despite the role NAGC plays in various genetic diseases and the concerted evolution of gene families, the parameters that govern NAGC are not well characterized. Here, we survey duplicate gene families and identify converted tracts in 46% of them. These conversions reflect a large GC bias of NAGC. We develop a sequence evolution model that leverages substantially more information in duplicate sequences than used by previous methods and use it to estimate the parameters that govern NAGC in humans: a mean converted tract length of 250 bp and a probability of [Formula: see text] per generation for a nucleotide to be converted (an order of magnitude higher than the point mutation rate). Despite this high baseline rate, we show that NAGC slows down as duplicate sequences diverge-until an eventual "escape" of the sequences from its influence. As a result, NAGC has a small average effect on the sequence divergence of duplicates. This work improves our understanding of the NAGC mechanism and the role that it plays in the evolution of gene duplicates.

Indexed as

Evolution, MolecularGene ConversionGenes, DuplicateHuman GeneticsModels, GeneticAnimalsBase CompositionGenetic LociGorilla gorillaHumansMacacaMutation RatePan troglodytesPongoGC biasgene conversiongene duplicatesmutation ratesequence evolution

Identifiers

PMID29138319
PMCPMC5715747
OpenAlexW2952590645

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.