Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers

Kenneth E. Westerman; Timothy D. Majarian; Franco Giulianini; Dong-Keun Jang; Jenkai Miao; Jose C. Florez; Han Chen; Daniel I. Chasman; Miriam S. Udler; Alisa K. Manning; Joanne B. Cole

doi:10.1038/s41467-022-31625-5

Nature Communications (Jul 2022)

Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers

Kenneth E. Westerman,
Timothy D. Majarian,
Franco Giulianini,
Dong-Keun Jang,
Jenkai Miao,
Jose C. Florez,
Han Chen,
Daniel I. Chasman,
Miriam S. Udler,
Alisa K. Manning,
Joanne B. Cole

Affiliations

Kenneth E. Westerman: Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital
Timothy D. Majarian: Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT
Franco Giulianini: Division of Preventive Medicine, Brigham and Women’s Hospital
Dong-Keun Jang: Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT
Jenkai Miao: Division of Endocrinology, Boston Children’s Hospital
Jose C. Florez: Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT
Han Chen: Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston
Daniel I. Chasman: Division of Preventive Medicine, Brigham and Women’s Hospital
Miriam S. Udler: Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT
Alisa K. Manning: Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital
Joanne B. Cole: Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT

DOI: https://doi.org/10.1038/s41467-022-31625-5
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 11

Abstract

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Understanding how our genes interact with the environment is critical to improving health. Using a large-scale discovery pipeline, here the authors investigate synergies between genetic variants and a broad range of environmental factors impacting cardiometabolic health.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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