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PMID: 12397357 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Detecting recent positive selection in the human genome from haplotype structure.

Nature ·Vol. 419 ·No. 6909 ·2002-10-24 ·Pages 832-7

Sabeti PC, Reich DE, Higgins JM, Levine HZ, Richter DJ, Schaffner SF, Gabriel SB, Platko JV, Patterson NJ, McDonald GJ, Ackerman HC, Campbell SJ, Altshuler D, Cooper R, Kwiatkowski D, Ward R, Lander ES

Abstract

The ability to detect recent natural selection in the human population would have profound implications for the study of human history and for medicine. Here, we introduce a framework for detecting the genetic imprint of recent positive selection by analysing long-range haplotypes in human populations. We first identify haplotypes at a locus of interest (core haplotypes). We then assess the age of each core haplotype by the decay of its association to alleles at various distances from the locus, as measured by extended haplotype homozygosity (EHH). Core haplotypes that have unusually high EHH and a high population frequency indicate the presence of a mutation that rose to prominence in the human gene pool faster than expected under neutral evolution. We applied this approach to investigate selection at two genes carrying common variants implicated in resistance to malaria: G6PD and CD40 ligand. At both loci, the core haplotypes carrying the proposed protective mutation stand out and show significant evidence of selection. More generally, the method could be used to scan the entire genome for evidence of recent positive selection.

MeSH Terms
Africa Alleles Animals CD40 Ligand/genetics Computer Simulation Evolution, Molecular Gene Pool Genetic Predisposition to Disease/genetics Genetic Variation/genetics Genome, Human Glucosephosphate Dehydrogenase/genetics Haplotypes/genetics Homozygote Humans Malaria/enzymology,genetics,parasitology Male Mutation/genetics Plasmodium falciparum/physiology Polymorphism, Single Nucleotide/genetics Selection, Genetic Time Factors
Chemicals
CD40 Ligand Glucosephosphate Dehydrogenase
Authors & Affiliations
17 authors, click to expand affiliations / ORCID
Sabeti Pardis C
Whitehead Institute/MIT Center for Genome Research, Nine Cambridge Center, Cambridge, Massachusetts 02142, USA.
Reich David E
Higgins John M
Levine Haninah Z P
Richter Daniel J
Schaffner Stephen F
Gabriel Stacey B
Platko Jill V
Patterson Nick J
McDonald Gavin J
Ackerman Hans C
Campbell Sarah J
Altshuler David
Cooper Richard
Kwiatkowski Dominic
Ward Ryk
Lander Eric S
Article Info
Journal
Nature
Abbr.
Nature
ISSN
0028-0836
Published
2002-10-24
Epub
2002-00-09
Pages
832-7
Language
English
Region
England
NLM ID
0410462
Subset
IM
Corrections
CommentIn
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