A robust association test for detecting genetic variants with heterogeneous effects.
A robust association test for detecting genetic variants with heterogeneous effects.
复制标题
用于检测具有异质效应的遗传变异的稳健关联测试。
DOI：
10.1093/biostatistics/kxu036
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Figueroa,JonineD
中科院分区：
文献类型：
--
作者：
Yu,Kai;Zhang,Han;Wheeler,William;Horne,HisaniN;Chen,Jinbo;Figueroa,JonineD
One common strategy for detecting disease-associated genetic markers is to compare the genotype distributions between cases and controls, where cases have been diagnosed as having the disease condition. In a study of a complex disease with a heterogeneous etiology, the sampled case group most likely consists of people having different disease subtypes. If we conduct an association test by treating all cases as a single group, we maximize our chance of finding genetic risk factors with a homogeneous effect, regardless of the underlying disease etiology. However, this strategy might diminish the power for detecting risk factors whose effect size varies by disease subtype. We propose a robust statistical procedure to identify genetic risk factors that have either a uniform effect for all disease subtypes or heterogeneous effects across different subtypes, in situations where the subtypes are not predefined but can be characterized roughly by a set of clinical and/or pathologic markers. We demonstrate the advantage of the new procedure through numeric simulation studies and an application to a breast cancer study.
影响因子：
3.5
作者：
Broeks, Annegien;Schmidt, Marjanka K.;Garcia-Closas, Montserrat
通讯作者：
Garcia-Closas, Montserrat
影响因子：
10.4
作者：
Monchaux G;Morlier JP;Morin M;Chameaud J;Lafuma J;Masse R
通讯作者：
Masse R
影响因子：
3.5
作者：
Figueroa, Jonine D.;Garcia-Closas, Montserrat;Spurdle, Amanda B.
通讯作者：
Spurdle, Amanda B.