Study
PLCO
(Learn more about this study)
Project ID
PLCO-960
Initial CDAS Request Approval
Apr 4, 2022
Title
GWAS of Metabolites
Summary
Several GWAS of metabolites have been performed, and they have identified hundreds of genetic variant-metabolite associations and provided mechanistic insight into disease etiology. These prior studies have ranged in size from approximately 200 up to 86,000 individuals and have considered a handful to more than a thousand metabolites. However, large studies with both untargeted metabolomics and genetic data are still limited. Multiple studies nested in the PLCO cohort have now used Metabolon's Discovery metabolomics platform or targeted bile acid platform to generate metabolomics data. We are proposing to conduct a genome-wide association study including all PLCO participants with available genetic and Metabolon-generated metabolomics data (untargeted and targeted). We are requesting genetic and metabolomics data as well as dietary (DQX), demographic, and lifestyle data for potential confounder adjustment.
Aims
Aim 1: To identify genetic variants associated with individual metabolites and metabolic pathways; Aim 2: To develop genetic instruments for metabolites and metabolic pathways for Mendelian Randomization (MR) analyses
Collaborators
Neal D. Freedman (Metabolic Epidemiology Branch, DCEG, NCI)
Wen-Yi Huang (Metabolic Epidemiology Branch, DCEG, NCI)
Demetrius Albanes (Metabolic Epidemiology Branch, DCEG, NCI)
Rachael Stolzenberg-Solomon (Metabolic Epidemiology Branch, DCEG, NCI)
Steve Moore (Metabolic Epidemiology Branch, DCEG, NCI)
Linda Liao (Metabolic Epidemiology Branch, DCEG, NCI)
Mitchell Machiela (Integrative Tumor Epidemiology Branch, DCEG, NCI)
Wendy Wong (Trans-Divisional Research Program, DCEG, NCI)
Mary Playdon (University of Utah, Department of Nutrition and Integrative Physiology, Huntsman Cancer Institute, Cancer Control and Population Sciences Program)
