Mapping complex disease traits with global gene expression

被引：593

作者：

Cookson, William ^{[1
]}

Liang, Liming ^{[2
]}

Abecasis, Goncalo ^{[2
]}

Moffatt, Miriam ^{[1
]}

Lathrop, Mark ^{[3
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Natl Heart & Lung Inst, London SW3 6LY, England

[2] SPH II, Dept Biostat, Ctr Stat Genet, Ann Arbor, MI 48109 USA

[3] CEA Ctr Natl Genotypage, F-91057 Evry, France

来源：

NATURE REVIEWS GENETICS | 2009年 / 10卷 / 03期

基金：

英国惠康基金;

关键词：

GENOME-WIDE ASSOCIATION; COPY NUMBER VARIATION; RHEUMATOID-ARTHRITIS; SUSCEPTIBILITY LOCI; ORMDL3; EXPRESSION; LINKAGE ANALYSIS; VARIANTS; NETWORKS; RISK; SEQUENCE;

D O I：

10.1038/nrg2537

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Variation in gene expression is an important mechanism underlying susceptibility to complex disease. The simultaneous genome-wide assay of gene expression and genetic variation allows the mapping of the genetic factors that underpin individual differences in quantitative levels of expression (expression QTLs; eQTLs). The availability of systematically generated eQTL information could provide immediate insight into a biological basis for disease associations identified through genome-wide association (GWA) studies, and can help to identify networks of genes involved in disease pathogenesis. Although there are limitations to current eQTL maps, understanding of disease will be enhanced with novel technologies and international efforts that extend to a wide range of new samples and tissues.

引用

页码：184 / 194

页数：11

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