Principal component analysis of genetic data

被引：214
|
作者：
Reich, David [1 ]
Price, Alkes L. [1 ]
Patterson, Nick [2 ,3 ]
机构：
[1] Harvard Univ, Sch Med, Dept Genet, Boston, MA 02115 USA
[2] Broad Inst Harvard, Cambridge, MA 02142 USA
[3] MIT, Cambridge, MA 02142 USA
来源：
NATURE GENETICS | 2008年 / 40卷 / 05期
关键词：
D O I：
10.1038/ng0508-491
中图分类号：
Q3 [遗传学];
学科分类号：
071007 ; 090102 ;
摘要：
Principal component analysis ( PCA) has been a useful tool for analysis of genetic data, particularly in studies of human migration. A new study finds evidence that the observed geographic gradients, traditionally thought to represent major historical migrations, may in fact have other interpretations.
引用
收藏
页码：491 / 492
页数：2
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