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A Map of Recent Positive Selection in the Human Genome

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Voight, Benjamin F, Kudaravalli, Sridhar, Wen, Xiaoquan, Pritchard, Jonathan K·2006·PLoS Biology
DOI 10.1371/journal.pbio.0040072
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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.

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Items 101–174 of 174

Metadata

Authors
Voight, B. F., Kudaravalli, S., Wen, X., & Pritchard, J. K.
Venue
PLoS Biology
Publisher
Public Library of Science (PLoS)
Published
2006-03-07
Volume
4
Issue
3
Pages
e72
ISSN
  • 1544-9173 (ISSN-L)
  • 1545-7885
DOI
10.1371/journal.pbio.0040072
OpenAlex
W2025253353
Cited by
2,893
References
7
FWCI
89.95
Type
journal article
Language
en
Update notices
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (unspecified)

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