Mapping determinants of human gene expression by regional and genome-wide association

被引:439
|
作者
Cheung, VG [1 ]
Spielman, RS
Ewens, KG
Weber, TM
Morley, M
Burdick, JT
机构
[1] Univ Penn, Dept Pediat, Philadelphia, PA 19104 USA
[2] Univ Penn, Dept Genet, Philadelphia, PA 19104 USA
[3] Childrens Hosp Philadelphia, Philadelphia, PA 19104 USA
关键词
D O I
10.1038/nature04244
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To study the genetic basis of natural variation in gene expression, we previously carried out genome-wide linkage analysis and mapped the determinants of similar to 1,000 expression phenotypes(1). In the present study, we carried out association analysis with dense sets of single-nucleotide polymorphism ( SNP) markers from the International HapMap Project(2). For 374 phenotypes, the association study was performed with markers only from regions with strong linkage evidence; these regions all mapped close to the expressed gene. For a subset of 27 phenotypes, analysis of genome-wide association was performed with > 770,000 markers. The association analysis with markers under the linkage peaks confirmed the linkage results and narrowed the candidate regulatory regions for many phenotypes with strong linkage evidence. The genome-wide association analysis yielded highly significant results that point to the same locations as the genome scans for about 50% of the phenotypes. For one candidate determinant, we carried out functional analyses and confirmed the variation in cis-acting regulatory activity. Our findings suggest that association studies with dense SNP maps will identify susceptibility loci or other determinants for some complex traits or diseases.
引用
收藏
页码:1365 / 1369
页数:5
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