Evidence map›Paper›PMID 25279983›Full record

ArticleAmerican journal of human genetics2014

Biased gene conversion skews allele frequencies in human populations, increasing the disease burden of recessive alleles.

Joseph Lachance, Sarah A Tishkoff

Abstract read
In one paragraph

Article in American journal of human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
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

45 citing papers in PubMed.

  1. Why recombination hotspots?PLoS genetics · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Hotspots of Human Mutation.Trends in genetics : TIG · 2021
    Review
  20. Article
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

2 authors.

Joseph LachanceDepartments of Biology and Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: lachance.joseph@gmail.com.
Sarah A TishkoffDepartments of Biology and Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: tishkoff@mail.med.upenn.edu.

Funding

Integrative Genomics of Body Size and Metabolism in Ethnically Diverse AfricansR01GM113657 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2015 to 2019
$2.8M
Integrative Genomic Analyses of Human Evolution and Adaptation in AfricaR35GM134957 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2020 to 2024
$2.7M
African Odyssey: An Integrative Genomics Analysis of Complex Physiologic TraitsDP1ES022577 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2012 to 2013
$1.6M
Population Genomics of Geographically and Ethnically Diverse AfricansF32HG006648 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI LACHANCE, JOSEPH L. · 2012 to 2014
$154k
NCCDPHP CDC HHS DP1 ES022577NHGRI NIH HHS F32 HG006648NHGRI NIH HHS F32HG006648NIEHS NIH HHS DP1 ES022577NIGMS NIH HHS R01 GM113657NIGMS NIH HHS R35 GM134957
6 · The paper itself

Abstract

Gene conversion results in the nonreciprocal transfer of genetic information between two recombining sequences, and there is evidence that this process is biased toward G and C alleles. However, the strength of GC-biased gene conversion (gBGC) in human populations and its effects on hereditary disease have yet to be assessed on a genomic scale. Using high-coverage whole-genome sequences of African hunter-gatherers, agricultural populations, and primate outgroups, we quantified the effects of GC-biased gene conversion on population genomic data sets. We find that genetic distances (FST and population branch statistics) are modified by gBGC. In addition, the site frequency spectrum is left-shifted when ancestral alleles are favored by gBGC and right-shifted when derived alleles are favored by gBGC. Allele frequency shifts due to gBGC mimic the effects of natural selection. As expected, these effects are strongest in high-recombination regions of the human genome. By comparing the relative rates of fixation of unbiased and biased sites, the strength of gene conversion was estimated to be on the order of Nb ≈ 0.05 to 0.09. We also find that derived alleles favored by gBGC are much more likely to be homozygous than derived alleles at unbiased SNPs (+42.2% to 62.8%). This results in a curse of the converted, whereby gBGC causes substantial increases in hereditary disease risks. Taken together, our findings reveal that GC-biased gene conversion has important population genetic and public health implications.

Indexed as

BiasGene ConversionGenetics, PopulationEvolution, MolecularGene FrequencyGenes, RecessiveGenetic Diseases, InbornGenome, HumanHumansModels, GeneticModels, TheoreticalPolymorphism, Single NucleotideRecombination, GeneticSelection, Genetic

Identifiers

PMID25279983
PMCPMC4185123

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.