A Map of Recent Positive Selection in the Human Genome

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 ne...

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Main Authors:	Voight, Benjamin F, Kudaravalli, Sridhar, Wen, Xiaoquan, Pritchard, Jonathan K
Format:	Online
Language:	English
Published:	Public Library of Science 2006
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1382018/

id	pubmed-1382018
recordtype	oai_dc
spelling	pubmed-13820182006-02-28 A Map of Recent Positive Selection in the Human Genome Voight, Benjamin F Kudaravalli, Sridhar Wen, Xiaoquan Pritchard, Jonathan K Research Article 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 ∼250 signals of recent selection in each population. Public Library of Science 2006-03 2006-03-07 /pmc/articles/PMC1382018/ /pubmed/16494531 http://dx.doi.org/10.1371/journal.pbio.0040072 Text en Copyright: © 2006 Voight et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Voight, Benjamin F Kudaravalli, Sridhar Wen, Xiaoquan Pritchard, Jonathan K
spellingShingle	Voight, Benjamin F Kudaravalli, Sridhar Wen, Xiaoquan Pritchard, Jonathan K A Map of Recent Positive Selection in the Human Genome
author_facet	Voight, Benjamin F Kudaravalli, Sridhar Wen, Xiaoquan Pritchard, Jonathan K
author_sort	Voight, Benjamin F
title	A Map of Recent Positive Selection in the Human Genome
title_short	A Map of Recent Positive Selection in the Human Genome
title_full	A Map of Recent Positive Selection in the Human Genome
title_fullStr	A Map of Recent Positive Selection in the Human Genome
title_full_unstemmed	A Map of Recent Positive Selection in the Human Genome
title_sort	map of recent positive selection in the human genome
description	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 ∼250 signals of recent selection in each population.
publisher	Public Library of Science
publishDate	2006
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1382018/
_version_	1611380853398568960

A Map of Recent Positive Selection in the Human Genome

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