Evidence map›Paper›PMID 24509481›Full record

ArticleNature genetics2014

The deleterious mutation load is insensitive to recent population history.

Yuval B Simons, Michael C Turchin, Jonathan K Pritchard, Guy Sella

Abstract read
In one paragraph

Article in Nature genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers.

0numbers the graph read from it
0cells of the map it votes in
178citing 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

178 citing papers in PubMed.

  1. Trial
  2. Dynamics of mutators of arbitrary dominance in humans.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. Census and genetic analysis of the United States marmoset population.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Accessible, realistic genome simulation with selection using stdpopsim.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Study design and the sampling of deleterious rare variants in biobank-scale datasets.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. The distribution of highly deleterious variants across human ancestry groups.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Mutation-selection-drift balance models of complex diseases.bioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. Article

118 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

4 authors.

Yuval B Simons1] Department of Ecology, Evolution and Behavior, Hebrew University of Jerusalem, Jerusalem, Israel. [2].
Michael C Turchin1] Department of Human Genetics, University of Chicago, Chicago, Illinois, USA. [2].
Jonathan K Pritchard1] Department of Human Genetics, University of Chicago, Chicago, Illinois, USA. [2] Howard Hughes Medical Institute, Stanford University, Stanford, California, USA. [3] Department of Biology, Stanford University, Stanford, California, USA. [4] Department of Genetics, Stanford University, Stanford, California, USA.
Guy Sella1] Department of Ecology and Evolution, University of Chicago, Chicago, Illinois, USA. [2].

Funding

PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
Analysis and interpretation of noncoding regulatory variationR01MH084703 · NIMH · UNIVERSITY OF CHICAGO · PI GILAD, YOAV, PRITCHARD, JONATHAN K · 2008 to 2015
$3.4M
Adaptive evolution of non coding DNA and gene expression divergence in DrosophilaR01GM083228 · NIGMS · PRINCETON UNIVERSITY · PI ANDOLFATTO, PETER · 2009 to 2013
$1.5M
Howard Hughes Medical InstituteNIGMS NIH HHS GM083228NIGMS NIH HHS R01 GM083228NIGMS NIH HHS T32 GM007197NIMH NIH HHS MH084703NIMH NIH HHS R01 MH084703
6 · The paper itself

Abstract

Human populations have undergone major changes in population size in the past 100,000 years, including recent rapid growth. How these demographic events have affected the burden of deleterious mutations in individuals and the frequencies of disease mutations in populations remains unclear. We use population genetic models to show that recent human demography has probably had little impact on the average burden of deleterious mutations. This prediction is supported by two exome sequence data sets showing that individuals of west African and European ancestry carry very similar burdens of damaging mutations. We further show that for many diseases, rare alleles are unlikely to contribute a large fraction of the heritable variation, and therefore the impact of recent growth is likely to be modest. However, for those diseases that have a direct impact on fitness, strongly deleterious rare mutations probably do have an important role, and recent growth will have increased their impact.

Indexed as

Genetics, PopulationModels, GeneticMutationBlack PeopleExomeGenetic LoadHumansPolymorphism, Single NucleotidePopulation DynamicsWhite People

Identifiers

PMID24509481
PMCPMC3953611

What OpenQuestion holds

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Registered trials

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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.