A gene-diet interaction-based score predicts response to dietary fat in the Women's Health Initiative.

ABSTRACT:

Background

Although diet response prediction for cardiometabolic risk factors (CRFs) has been demonstrated using single genetic variants and main-effect genetic risk scores, little investigation has gone into the development of genome-wide diet response scores.

Objective

We sought to leverage the multistudy setup of the Women's Health Initiative cohort to generate and test genetic scores for the response of 6 CRFs (BMI, systolic blood pressure, LDL cholesterol, HDL cholesterol, triglycerides, and fasting glucose) to dietary fat.

Methods

A genome-wide interaction study was undertaken for each CRF in women (n ∼ 9000) not participating in the dietary modification (DM) trial, which focused on the reduction of dietary fat. Genetic scores based on these analyses were develo

SUBMITTER: Westerman K 

PROVIDER: S-EPMC7138684 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature