Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression

Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression

Abstract Background For the analysis of gene-environment (GxE) interactions commonly single nucleotide polymorphisms (SNPs) are used to characterize genetic susceptibility, an approach that mostly lacks power and has poor reproducibility. One promising approach to overcome this problem might be the...

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Bibliographic Details
Main Authors: Anke Hüls, Katja Ickstadt, Tamara Schikowski, Ursula Krämer
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Genetics
Subjects:
Polygenic approach
Penalized regression model
Lasso
Ridge regression
Linkage disequilibrium
Noise
Online Access:http://link.springer.com/article/10.1186/s12863-017-0519-1

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