Evidence map›Paper›PMID 16494531›Full record

ArticlePLoS biology2006

A map of recent positive selection in the human genome.

Benjamin F Voight, Sridhar Kudaravalli, Xiaoquan Wen, Jonathan K Pritchard

Erratum issuedAbstract read
In one paragraph

Article in PLoS biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1,639 papers.

0numbers the graph read from it
0cells of the map it votes in
1,639citing 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

1,639 citing papers in PubMed.

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  16. Deciphering genetic diversity and selection footprints in Rathi cattle through ddRAD-based genome-wide analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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1,579 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Benjamin F VoightDepartment of Human Genetics, University of Chicago, Chicago, Illinois, USA.
Sridhar Kudaravalli
Xiaoquan Wen
Jonathan K Pritchard

Funding

Linkage Disequilibrium Methods For Complex Trait MappingR01HG002772 · NHGRI · UNIVERSITY OF CHICAGO · PI PRITCHARD, JONATHAN K · 2003 to 2007
$1.7M
Robust Methods for Indentifying Genes for Complex TraitsR01DK055889 · NIDDK · UNIVERSITY OF CHICAGO · PI COX, NANCY J. · 1998 to 2004
$1.3M
NHGRI NIH HHS R01 HG002772NHGRI NIH HHS R01 HG002772-1NIDDK NIH HHS R01 DK055889NIDDK NIH HHS R01 DK55889
6 · The paper itself

Abstract

The identification of signals of very recent positive selection provides information about the adaptation of modern humans to local conditions. We report here on a genome-wide scan for signals of very recent positive selection in favor of variants that have not yet reached fixation. We describe a new analytical method for scanning single nucleotide polymorphism (SNP) data for signals of recent selection, and apply this to data from the International HapMap Project. In all three continental groups we find widespread signals of recent positive selection. Most signals are region-specific, though a significant excess are shared across groups. Contrary to some earlier low resolution studies that suggested a paucity of recent selection in sub-Saharan Africans, we find that by some measures our strongest signals of selection are from the Yoruba population. Finally, since these signals indicate the existence of genetic variants that have substantially different fitnesses, they must indicate loci that are the source of significant phenotypic variation. Though the relevant phenotypes are generally not known, such loci should be of particular interest in mapping studies of complex traits. For this purpose we have developed a set of SNPs that can be used to tag the strongest approximately 250 signals of recent selection in each population.

Indexed as

Physical Chromosome MappingSelection, GeneticAllelesChromosomes, HumanGenome, HumanHumansPolymorphism, Single Nucleotide

Identifiers

PMID16494531
PMCPMC1382018

What OpenQuestion holds

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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.