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Scanning for signatures of geographically restricted selection based on population genomics analysis
Deng LiBin ; Tang XiaoLi ; Kang Jian ; Wang QingYun ; Zeng ChangQing
2010-05-06 ; 2010-05-06 ; OCT
关键词natural selection HapMap Project single nucleotide polymorphism population genomics gene ontology INTERNATIONAL HAPMAP PROJECT NATURAL-SELECTION POSITIVE SELECTION SEQUENCE VARIATION EVOLUTION GENE HUMANS SCANS HISTORY MAP Multidisciplinary Sciences
中文摘要Natural selection, as the driving force of human evolution, has direct impact on population differentiation. However, it is still unclear to what extent the genetic differentiation has been caused by natural selection. To explore this question, we performed a genome-wide scan with single nucleotide polymorphism (SNP) data from the International HapMap Project. Single locus F (ST) analysis was applied to assess the frequency difference among populations in autosomes. Based on the empirical distribution of F (ST), we identified 12669 SNPs correlating to population differentiation and 1853 candidate genes subjected to geographic restricted natural selection. Further interpretation of gene ontogeny revealed 121 categories of biological process with the enrichments of candidate genes. Our results suggest that natural selection may play an important role in human population differentiation. In addition, our analysis provides new clues as well as research methods for our understanding of population differentiation and natural selection.
语种英语 ; 英语
出版者SCIENCE CHINA PRESS ; BEIJING ; 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/14300]  
专题清华大学
推荐引用方式
GB/T 7714
Deng LiBin,Tang XiaoLi,Kang Jian,et al. Scanning for signatures of geographically restricted selection based on population genomics analysis[J],2010, 2010, OCT.
APA Deng LiBin,Tang XiaoLi,Kang Jian,Wang QingYun,&Zeng ChangQing.(2010).Scanning for signatures of geographically restricted selection based on population genomics analysis..
MLA Deng LiBin,et al."Scanning for signatures of geographically restricted selection based on population genomics analysis".(2010).
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