生物
计算生物学
基因-环境相互作用
等位基因
遗传学
遗传变异
贝叶斯概率
进化生物学
基因
统计
数学
基因型
作者
David A. Knowles,Joe R. Davis,Hilary A. Edgington,Anil Raj,Marie Julie Favé,Xiaowei Zhu,James B. Potash,Myrna M. Weissman,Jianxin Shi,Douglas F. Levinson,Philip Awadalla,Sara Mostafavi,Stephen B. Montgomery,Alexis Battle
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2017-05-22
卷期号:14 (7): 699-702
被引量:134
摘要
Identifying interactions between genetics and the environment (GxE) remains challenging. We have developed EAGLE, a hierarchical Bayesian model for identifying GxE interactions based on associations between environmental variables and allele-specific expression. Combining whole-blood RNA-seq with extensive environmental annotations collected from 922 human individuals, we identified 35 GxE interactions, compared with only four using standard GxE interaction testing. EAGLE provides new opportunities for researchers to identify GxE interactions using functional genomic data.
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