Detection of human adaptation during the past 2000 years
Author(s) -
Yair Field,
Evan A. Boyle,
Natalie Telis,
Ziyue Gao,
Kyle J. Gaulton,
David E. Golan,
Loïc Yengo,
Ghislain Rocheleau,
Philippe Froguel,
Mark I. McCarthy,
Jonathan K. Pritchard
Publication year - 2016
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.aag0776
Subject(s) - selection (genetic algorithm) , adaptation (eye) , evolutionary biology , biology , singleton , natural selection , genetics , computer science , machine learning , neuroscience , pregnancy
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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