A power comparison of the association tests for genome-wide association studies

被引：0

作者：

Postovalov, Sergey ^{[1
]}

Metge, R. Wyler ^{[1
]}

机构：

[1] Novosibirsk State Tech Univ, Dept Theoret & Appl Informat, Novosibirsk, Russia

来源：

2016 11TH INTERNATIONAL FORUM ON STRATEGIC TECHNOLOGY (IFOST), PTS 1 AND 2 | 2016年

关键词：

Sequential study design; genetic association; robust statistical test; genetic model selection; computer simulation; SAMPLE-SIZE; SELECTION;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The paper presents the statistical association criteria applicable at the genome-wide association analysis. The results of power calculation are presented for different alternative hypotheses.

引用

页数：4

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