Pitfalls of predicting complex traits from SNPs

被引:511
作者
Wray, Naomi R. [1 ]
Yang, Jian [1 ,2 ]
Hayes, Ben J. [3 ,4 ,5 ]
Price, Alkes L. [6 ,7 ,8 ,9 ]
Goddard, Michael E. [3 ]
Visscher, Peter M. [1 ,2 ]
机构
[1] Univ Queensland, Queensland Brain Inst, St Lucia, Qld 4071, Australia
[2] Univ Queensland, Diamantina Inst, Translat Res Inst, Woolloongabba, Qld 4102, Australia
[3] Dept Primary Ind, Biosci Res Div, Melbourne, Vic 3001, Australia
[4] La Trobe Univ, Dairy Futures Cooperat Res Ctr, AgriBio, Ctr AgriBiosci, Bundoora, Vic 3083, Australia
[5] La Trobe Univ, Bundoora, Vic 3086, Australia
[6] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[7] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[8] Broad MIT Inst & Harvard, Cambridge, MA 02142 USA
[9] Harvard Univ, Sch Publ Hlth, Program Mol & Genet Epidemiol, Boston, MA 02115 USA
关键词
GENOME-WIDE ASSOCIATION; RISK PREDICTION; GENETIC RISK; QUANTITATIVE TRAITS; SUSCEPTIBILITY LOCI; SENSATION SEEKING; NATURAL-SELECTION; LARGE PROPORTION; DOPAMINE GENES; VARIANTS;
D O I
10.1038/nrg3457
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The success of genome-wide association studies (GWASs) has led to increasing interest in making predictions of complex trait phenotypes, including disease, from genotype data. Rigorous assessment of the value of predictors is crucial before implementation. Here we discuss some of the limitations and pitfalls of prediction analysis and show how naive implementations can lead to severe bias and misinterpretation of results.
引用
收藏
页码:507 / 515
页数:9
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