A bivariate mann-whitney approach for unraveling genetic variants and interactions contributing to comorbidity.
A bivariate mann-whitney approach for unraveling genetic variants and interactions contributing to comorbidity.
复制标题
一种双变量曼惠特尼方法,用于揭示导致合并症的遗传变异和相互作用。
DOI:
10.1002/gepi.21709
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发表时间:
2013
影响因子:
2.1
通讯作者:
Lu,Qing
中科院分区:
文献类型:
--
作者:
Wen,Yalu;Schaid,DanielJ;Lu,Qing
Although comorbidity among complex diseases (e.g., drug dependence syndromes) is well documented, genetic variants contributing to the comorbidity are still largely unknown. The discovery of genetic variants and their interactions contributing to comorbidity will likely shed light on underlying pathophysiological and etiological processes, and promote effective treatments for comorbid conditions. For this reason, studies to discover genetic variants that foster the development of comorbidity represent high‐priority research projects, as manifested in the behavioral genetics studies now underway. The yield from these studies can be enhanced by adopting novel statistical approaches, with the capacity of considering multiple genetic variants and possible interactions. For this purpose, we propose a bivariate Mann‐Whitney (BMW) approach to unravel genetic variants and interactions contributing to comorbidity, as well as those unique to each comorbid condition. Through simulations, we found BMW outperformed two commonly adopted approaches in a variety of underlying disease and comorbidity models. We further applied BMW to datasets from theStudy of Addiction: Genetics and Environment, investigating the contribution of 184 known nicotine dependence (ND) and alcohol dependence (AD) single nucleotide polymorphisms (SNPs) to the comorbidity of ND and AD. The analysis revealed a candidate SNP fromCHRNA5, rs16969968, associated with both ND and AD, and replicated the findings in an independent dataset with aP‐value of 1.06 × 10–03.
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Rietschel, Marcella
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通讯作者:
Tsuang, M
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Riala, K;Hakko, H;Räsänen, P
通讯作者:
Räsänen, P
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Clark, A;Lindgren, S;Little, HJ
通讯作者:
Little, HJ
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Saccone, Scott F.;Hinrichs, Anthony L.;Bierut, Laura Jean
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Bierut, Laura Jean