Comparison of weighting approaches for genetic risk scores in gene-environment interaction studies.

ABSTRACT:

Background

Weighted genetic risk scores (GRS), defined as weighted sums of risk alleles of single nucleotide polymorphisms (SNPs), are statistically powerful for detection gene-environment (GxE) interactions. To assign weights, the gold standard is to use external weights from an independent study. However, appropriate external weights are not always available. In such situations and in the presence of predominant marginal genetic effects, we have shown in a previous study that GRS with internal weights from marginal genetic effects ("GRS-marginal-internal") are a powerful and reliable alternative to single SNP approaches or the use of unweighted GRS. However, this approach might not be appropriate for detecting predominant interactions, i.e. interactions showing an effect stronger

SUBMITTER: Huls A 

PROVIDER: S-EPMC5732390 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature