当前位置: X-MOL 学术Bioinformatics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A two-step approach to testing overall effect of gene-environment interaction for multiple phenotypes
Bioinformatics ( IF 4.4 ) Pub Date : 2021-01-16 , DOI: 10.1093/bioinformatics/btaa1083
Arunabha Majumdar 1, 2 , Kathryn S Burch 3 , Tanushree Haldar 4 , Sriram Sankararaman 5 , Bogdan Pasaniuc 1, 3 , W James Gauderman 6 , John S Witte 2
Affiliation  

While gene-environment (GxE) interactions contribute importantly to many different phenotypes, detecting such interactions requires well-powered studies and has proven difficult. To address this, we combine two approaches to improve GxE power: simultaneously evaluating multiple phenotypes and using a two-step analysis approach. Previous work shows that the power to identify a main genetic effect can be improved by simultaneously analyzing multiple related phenotypes. For a univariate phenotype, two-step methods produce higher power for detecting a GxE interaction compared to single step analysis. Therefore, we propose a two-step approach to test for an overall GxE effect for multiple phenotypes.

中文翻译:

一种两步法来测试基因-环境相互作用对多种表型的整体影响

虽然基因-环境 (GxE) 相互作用对许多不同的表型有重要贡献,但检测此类相互作用需要强有力的研究并且已被证明是困难的。为了解决这个问题,我们结合了两种方法来提高 GxE 功效:同时评估多种表型和使用两步分析方法。以前的工作表明,可以通过同时分析多个相关表型来提高识别主要遗传效应的能力。对于单变量表型,与单步分析相比,两步法可产生更高的检测 GxE 相互作用的能力。因此,我们提出了一种两步法来测试多种表型的整体 GxE 效应。
更新日期:2021-01-18
down
wechat
bug