ArticleEuropean journal of human genetics : EJHG2020
Mixed-model admixture mapping identifies smoking-dependent loci of lung function in African Americans.
Article in European journal of human genetics : EJHG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- UGT1A1*28 polymorphism and the risk of toxicity and disease progression in patients with breast cancer receiving sacituzumab govitecan.Cancer medicine · 2024Article
- Estimating heritability explained by local ancestry and evaluating stratification bias in admixture mapping from summary statistics.American journal of human genetics · 2023Article
- Admixture mapping implicates 13q33.3 as ancestry-of-origin locus for Alzheimer disease in Hispanic and Latino populations.HGG advances · 2023Article
- Gene-environment interactions in childhood asthma revisited; expanding the interaction concept.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022Review
- Admixture mapping reveals the association between Native American ancestry at 3q13.11 and reduced risk of Alzheimer's disease in Caribbean Hispanics.Alzheimer's research & therapy · 2021Article
- Race and Genetics: Somber History, Troubled Present.The Yale journal of biology and medicine · 2020Review
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
Admixture mapping has led to the discovery of many genes associated with differential disease risk by ancestry, highlighting the importance of ancestry-based approaches to association studies. However, the potential of admixture mapping in deciphering the interplay between genes and environment exposures has been seldom explored. Here we performed a genome-wide screening of local ancestry-smoking interactions for five spirometric lung function phenotypes in 3300 African Americans from the COPDGene study. To account for population structure and outcome heterogeneity across exposure groups, we developed a multi-component linear mixed model for mapping gene-environment interactions and empirically showed its robustness and increased power. When applied to the COPDGene study, our approach identified two 11p15.2-3 and 2q37 loci, exhibiting local ancestry-smoking interactions at genome-wide significant level, which would have been missed by standard single-nucleotide polymorphism analyses. These two loci harbor the PARVA and RAB17 genes previously recognized to be involved in smoking behavior. Overall, our study provides the first evidence for potential synergistic effects between African ancestry and smoking on pulmonary function, and underlines the importance of ethnic diversity in genetic studies.
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