Predicting genetic predisposition in humans: the promise of whole-genome markers

被引：187

作者：

de los Campos, Gustavo ^{[1
]}

Gianola, Daniel ^{[2
,3
,4
]}

Allison, David B. ^{[1
]}

机构：

[1] Univ Alabama Birmingham, Sect Stat Genet, Birmingham, AL 35294 USA

[2] Univ Wisconsin, Dept Anim Sci, Madison, WI 53706 USA

[3] Univ Wisconsin, Dept Dairy Sci, Madison, WI 53706 USA

[4] Univ Wisconsin, Dept Biostat & Med Informat, Madison, WI 53706 USA

来源：

NATURE REVIEWS GENETICS | 2010年 / 11卷 / 12期

关键词：

HILBERT-SPACES REGRESSION; QUANTITATIVE TRAITS; ASSISTED PREDICTION; RIDGE-REGRESSION; WIDE ASSOCIATION; SELECTION; HERITABILITY; VALUES; INFORMATION;

D O I：

10.1038/nrg2898

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Although genome-wide association studies have identified markers that are associated with various human traits and diseases, our ability to predict such phenotypes remains limited. A perhaps overlooked explanation lies in the limitations of the genetic models and statistical techniques commonly used in association studies. We propose that alternative approaches, which are largely borrowed from animal breeding, provide potential for advances. We review selected methods and discuss the challenges and opportunities ahead.

引用

页码：880 / 886

页数：7

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