Prediction of individual genetic risk of complex disease

被引：119

作者：

Wray, Naomi R. ^{[1
]}

Goddard, Michael E. ^{[2
]}

Visscher, Peter M. ^{[1
]}

机构：

[1] Queensland Inst Med Res, Brisbane, Qld 4006, Australia

[2] Univ Melbourne, Fac Land & Food Resources, Melbourne, Vic 3010, Australia

来源：

CURRENT OPINION IN GENETICS & DEVELOPMENT | 2008年 / 18卷 / 03期

基金：

英国医学研究理事会;

关键词：

D O I：

10.1016/j.gde.2008.07.006

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Most common diseases are caused by multiple genetic and environmental factors. In the last 2 years, genome-wide association studies (GWAS) have identified polymorphisms that are associated with risk to common disease, but the effect of any one risk allele is typically small. By combining information from many risk variants, will it be possible to predict accurately each individual person's genetic risk for a disease? In this review we consider the lessons from GWAS and the implications for genetic risk prediction to common disease. We conclude that with larger GWAS sample sizes or by combining studies, accurate prediction of genetic risk will be possible, even if the causal mutations or the mechanisms by which they affect susceptibility are unknown.

引用

页码：257 / 263

页数：7

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