Strengthening Causal Inference in Exposomics Research: Application of Genetic Data and Methods

• Published in: Environmental health perspectives Vol. 130; no. 5; p. 55001
• Main Authors: Avery, Christy L, Howard, Annie Green, Ballou, Anna F, Buchanan, Victoria L, Collins, Jason M, Downie, Carolina G, Engel, Stephanie M, Graff, Mariaelisa, Highland, Heather M, Lee, Moa P, Lilly, Adam G, Lu, Kun, Rager, Julia E, Staley, Brooke S, North, Kari E, Gordon-Larsen, Penny
• Format: Journal Article
• Language: English
• Published: United States National Institute of Environmental Health Sciences 01.05.2022; Environmental Health Perspectives
• Subjects: Biomarkers; Environmental Exposure - analysis; Environmental health; Exposome; Genetic aspects; Medical research; Medicine, Experimental; Methods; Research Design; Toxicogenomics; United States

Advances in technologies to measure a broad set of exposures have led to a range of exposome research efforts. Yet, these efforts have insufficiently integrated methods that incorporate genetic data to strengthen causal inference, despite evidence that many exposome-associated phenotypes are heritab...