Journal article
Classic selective sweeps were rare in recent human evolution
Science (American Association for the Advancement of Science), Vol.331(6019), pp.920-924
02/18/2011
Handle:
https://hdl.handle.net/2376/105277
PMCID: PMC3669691
PMID: 21330547
Abstract
Efforts to identify the genetic basis of human adaptations from polymorphism data have sought footprints of “classic selective sweeps”. Yet it remains unknown whether this form of natural selection was common in our evolution. We examined the evidence for classic sweeps in resequencing data from 179 human genomes. As expected under a recurrent sweep model, diversity levels decrease near exons and conserved non-coding regions. In contrast to expectation, however, the trough in diversity around human-specific amino acid substitutions is no more pronounced than around synonymous substitutions. Moreover, relative to the genome background, amino acid and putative regulatory sites are not significantly enriched for alleles that are highly differentiated between populations. These findings indicate that classic sweeps were not a dominant mode of adaptation over the past ~250,000 years.
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Details
- Title
- Classic selective sweeps were rare in recent human evolution
- Creators
- Ryan D Hernandez - Dept. of Human Genetics, University of Chicago, IL, USAJoanna L Kelley - Dept. of Human Genetics, University of Chicago, IL, USAEyal Elyashiv - Dept. of Ecology, Systematics and Evolution, Hebrew University, IsraelS. Cord Melton - Dept. of Human Genetics, University of Chicago, IL, USAAdam Auton - Wellcome Trust Centre for Human Genetics, University of Oxford, UKGil McVean - Wellcome Trust Centre for Human Genetics, University of Oxford, UKGuy Sella - Dept. of Ecology, Systematics and Evolution, Hebrew University, IsraelMolly Przeworski - Dept. of Human Genetics, University of Chicago, IL, USA
- Publication Details
- Science (American Association for the Advancement of Science), Vol.331(6019), pp.920-924
- Academic Unit
- Kelley Lab; Biological Sciences, School of
- Grant note
- R01 GM072861 || GM / National Institute of General Medical Sciences : NIGMS
- Identifiers
- 99900547087001842
- Language
- English
- Resource Type
- Journal article