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5. RegODA:Univariate Regression Modeling for the Orthogonal Decomposition Analysis of Multiple Correlat

RegODA:Univariate Regression Modeling for the Orthogonal Decomposition Analysis of Multiple Correlat

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：richardwang_wjw

【摘 要】

：

Multiple correlated phenotypes are frequently collected in genome-wide association studies(GWASs),and a systematic,simultaneous analysis of multiple phenotypes can integrate the signals from single ph

【作 者】

：

Xiaobo Guo 

【机 构】

：

Department of Statistical Science,School of Mathematics,Sun Yat-Sen University,Guangzhou,GD 510275,C

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

GWAS Multiple Correlated Phenotypes Summary Data 

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　　Multiple correlated phenotypes are frequently collected in genome-wide association studies(GWASs),and a systematic,simultaneous analysis of multiple phenotypes can integrate the signals from single phenotypes,therefore increasing the power of detecting genetic signals.

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