Identification of regions of positive selection using Shared Genomic Segment analysis

被引：13

作者：

Cai, Zheng ^{[1
]}

Camp, Nicola J. ^{[2
]}

Cannon-Albright, Lisa ^{[2
,3
]}

Thomas, Alun ^{[2
]}

机构：

[1] Univ Utah, Sch Med, Dept Biomed Informat, Salt Lake City, UT 84108 USA

[2] Univ Utah, Sch Med, Dept Internal Med, Div Genet Epidemiol, Salt Lake City, UT 84108 USA

[3] George E Wallen Dept Vet Affairs Med Ctr, Salt Lake City, UT USA

来源：

EUROPEAN JOURNAL OF HUMAN GENETICS | 2011年 / 19卷 / 06期

关键词：

identity by state; identity by descent; positive selection; NATURAL-SELECTION; SIGNALS; GENES;

D O I：

10.1038/ejhg.2010.257

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

We applied a shared genomic segment (SGS) analysis, incorporating an error model, to identify complete, or near complete, selective sweeps in the HapMap phase II data sets. This method is based on detecting heterozygous sharing across all individuals within a population, to identify regions of sharing with at least one allele in common. We identified multiple interesting regions, many of which are concordant with positive selection regions detected by previous population genetic tests. Others are suggested to be novel regions. Our finding illustrates the utility of SGS as a method for identifying regions of selection, and some of these regions have been proposed to be candidate regions for harboring disease genes. European Journal of Human Genetics (2011) 19, 667-671; doi:10.1038/ejhg.2010.257; published online 9 February 2011

引用

页码：667 / 671

页数：5

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