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Detection of human adaptation during the past 2000 years

Yair FieldDepartment of Genetics, Stanford University, Stanford, CA 94305, USAEvan A. BoyleDepartment of Genetics, Stanford University, Stanford, CA 94305, USANatalie TelisProgram in Biomedical Informatics, Stanford University, Stanford, CA 94305, USAZiyue GaoDepartment of Genetics, Stanford University, Stanford, CA 94305, USAKyle J. GaultonDepartment of Genetics, Stanford University, Stanford, CA 94305, USADavid E. GolanDepartment of Genetics, Stanford University, Stanford, CA 94305, USALoïc YengoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, AustraliaGhislain RocheleauUniv. Lille, CNRS, Institut Pasteur de Lille, UMR 8199–EGID, F-59000 Lille, FrancePhilippe FroguelImperial College, Department of Genomics of Common Disease, London Hammersmith Hospital, London, UKMark I. McCarthyWellcome Trust Center for Human Genetics, and Oxford Center for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UKJonathan K. PritchardDepartment of Biology, Stanford University, Stanford, CA, USA
2016en
ABI

Аннотация

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.

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