| Literature DB >> 31429121 |
Jaehoon An1, Sungho Won1,2,3,4, Sharon M Lutz5, Julian Hecker4,6, Christoph Lange4,6.
Abstract
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.Entities:
Keywords: SNP-by-environment interaction; genetic association; population stratification
Mesh:
Year: 2019 PMID: 31429121 PMCID: PMC6829023 DOI: 10.1002/gepi.22250
Source DB: PubMed Journal: Genet Epidemiol ISSN: 0741-0395 Impact factor: 2.135