Effect of population stratification on SNP‐by‐environment interaction

• Published in: Genetic epidemiology Vol. 43; no. 8; pp. 1046 - 1055
• Main Authors: An, Jaehoon, Won, Sungho, Lutz, Sharon M., Hecker, Julian, Lange, Christoph
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.12.2019
• Subjects: Aged; Aged, 80 and over; Association analysis; Gene mapping; Gene-Environment Interaction; genetic association; Genetics, Population; Genome-wide association studies; Genome-Wide Association Study; Genomes; Humans; Middle Aged; Polymorphism, Single Nucleotide; population stratification; Pulmonary Disease, Chronic Obstructive - genetics; Single-nucleotide polymorphism; SNP‐by‐environment interaction; Statistical analysis; genetic association; population stratification; SNP-by-environment interaction
• ISSN: 0741-0395; 1098-2272
• DOI: 10.1002/gepi.22250

Proportions of false‐positive rates in genome‐wide association analysis are affected by population stratification, and if it is not correctly adjusted, the statistical analysis can produce the large false‐negative finding. Therefore various approaches have been proposed to adjust such problems in genome‐wide association studies. However, in spite of its importance, a few studies have been conducted in genome‐wide single nucleotide polymorphism (SNP)‐by‐environment interaction studies. In this report, we illustrate in which scenarios can lead to the false‐positive rates in association mapping and approach to maintaining the overall type‐1 error rate.