Evidence map›Paper›PMID 23650353›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Frequent adaptation and the McDonald-Kreitman test.

Philipp W Messer, Dmitri A Petrov

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.

0numbers the graph read from it
0cells of the map it votes in
140citing 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

140 citing papers in PubMed.

  1. Article
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  7. Protein structure shapes natural genetic variation andbioRxiv : the preprint server for biology · 2025
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  12. The evolutionary history and modern diversity of triterpenoid cyclases.bioRxiv : the preprint server for biology · 2025
    Article
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  18. Applying the Classic Test dN/dS to Detect Selection in Archaea.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  19. Article
  20. Article

80 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

2 authors.

Philipp W MesserDepartment of Biology, Stanford University, Stanford, CA 94305, USA. messer@stanford.edu
Dmitri A Petrov

Funding

Genomics of rapid adaptation on seasonal timescales in D. melanogasterR01GM100366 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI SCHMIDT, PAUL · 2012 to 2019
$3.3M
Sequencing yeast lines to measure rates of neutral and deleterious mutationsR01GM097415 · NIGMS · NEW YORK UNIVERSITY · PI PETROV, DMITRI, SIEGAL, MARK L · 2011 to 2014
$2.3M
Population Genomics of Adaptive Transposition in DrosophilaR01GM089926 · NIGMS · STANFORD UNIVERSITY · PI PETROV, DMITRI · 2010 to 2013
$969k
NIGMS NIH HHS R01 GM089926NIGMS NIH HHS R01GM089926NIGMS NIH HHS R01 GM097415NIGMS NIH HHS R01GM097415NIGMS NIH HHS R01 GM100366NIGMS NIH HHS R01GM100366
6 · The paper itself

Abstract

Population genomic studies have shown that genetic draft and background selection can profoundly affect the genome-wide patterns of molecular variation. We performed forward simulations under realistic gene-structure and selection scenarios to investigate whether such linkage effects impinge on the ability of the McDonald-Kreitman (MK) test to infer the rate of positive selection (α) from polymorphism and divergence data. We find that in the presence of slightly deleterious mutations, MK estimates of α severely underestimate the true rate of adaptation even if all polymorphisms with population frequencies under 50% are excluded. Furthermore, already under intermediate rates of adaptation, genetic draft substantially distorts the site frequency spectra at neutral and functional sites from the expectations under mutation-selection-drift balance. MK-type approaches that first infer demography from synonymous sites and then use the inferred demography to correct the estimation of α obtain almost the correct α in our simulations. However, these approaches typically infer a severe past population expansion although there was no such expansion in the simulations, casting doubt on the accuracy of methods that infer demography from synonymous polymorphism data. We propose a simple asymptotic extension of the MK test that yields accurate estimates of α in our simulations and should provide a fruitful direction for future studies.

Indexed as

Models, GeneticMutationPolymorphism, GeneticAnimalsGenome, HumanGenome-Wide Association StudyHumans

Identifiers

PMID23650353
PMCPMC3666677

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.