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PMID: 27738015 Published · ppublish English Journal Article

Detection of human adaptation during the past 2000 years.

Science (New York, N.Y.) ·Vol. 354 ·No. 6313 ·2016-00-11 ·Pages 760-764

Field Y, Boyle EA, Telis N, Gao Z, Gaulton KJ, Golan D, Yengo L, Rocheleau G, Froguel P, McCarthy MI, Pritchard JK

Abstract

Detection of recent natural selection is a challenging problem in population genetics. Here we introduce the singleton density score (SDS), a method to infer very recent changes in allele frequencies from contemporary genome sequences. Applied to data from the UK10K Project, SDS reflects allele frequency changes in the ancestors of modern Britons during the past ~2000 to 3000 years. We see strong signals of selection at lactase and the major histocompatibility complex, and in favor of blond hair and blue eyes. For polygenic adaptation, we find that recent selection for increased height has driven allele frequency shifts across most of the genome. Moreover, we identify shifts associated with other complex traits, suggesting that polygenic adaptation has played a pervasive role in shaping genotypic and phenotypic variation in modern humans.

MeSH Terms
Adaptation, Physiological/genetics Eye Color/genetics Gene Frequency Genetic Loci Genome, Human Genome-Wide Association Study Hair Color/genetics Haplotypes Humans/genetics Lactase/genetics Major Histocompatibility Complex/genetics Pedigree Selection, Genetic United Kingdom
Chemicals
Lactase
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Field Yair
Department of Genetics, Stanford University, Stanford, CA 94305, USA. [email protected] [email protected]. | Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Boyle Evan A
Department of Genetics, Stanford University, Stanford, CA 94305, USA.
Telis Natalie
Program in Biomedical Informatics, Stanford University, Stanford, CA 94305, USA.
Gao Ziyue
Department of Genetics, Stanford University, Stanford, CA 94305, USA. | Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Gaulton Kyle J
Department of Genetics, Stanford University, Stanford, CA 94305, USA. | Wellcome Trust Center for Human Genetics, and Oxford Center for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK.
Golan David
Department of Genetics, Stanford University, Stanford, CA 94305, USA.
Yengo Loic
Univ. Lille, CNRS, Institut Pasteur de Lille, UMR 8199-EGID, F-59000 Lille, France. | Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Rocheleau Ghislain
Univ. Lille, CNRS, Institut Pasteur de Lille, UMR 8199-EGID, F-59000 Lille, France.
Froguel Philippe
Univ. Lille, CNRS, Institut Pasteur de Lille, UMR 8199-EGID, F-59000 Lille, France. | Imperial College, Department of Genomics of Common Disease, London Hammersmith Hospital, London, UK.
McCarthy Mark I
Wellcome Trust Center for Human Genetics, and Oxford Center for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK.
Pritchard Jonathan K
Department of Genetics, Stanford University, Stanford, CA 94305, USA. [email protected] [email protected]. | Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA. | Department of Biology, Stanford University, Stanford, CA, USA.
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Article Info
Journal
Science (New York, N.Y.)
Abbr.
Science
ISSN
1095-9203
Published
2016-00-11
Epub
2016-00-13
Pages
760-764
Language
English
Region
United States
NLM ID
0404511
PMCID
PMC5182071
Subset
IM
Grants
NIMH NIH HHS · R01 MH101825 · United States
NHGRI NIH HHS · R01 HG008140 · United States
NIEHS NIH HHS · R01 ES025009 · United States
NIMH NIH HHS · R01 MH084703 · United States
NHGRI NIH HHS · T32 HG000044 · United States
NLM NIH HHS · T15 LM007033 · United States
Howard Hughes Medical Institute · United States
Databases
Dryad
10.5061/dryad.kd58f
Corrections
CommentIn
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