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Effect of population stratification on SNP‐by‐environment interaction
Author(s) -
An Jaehoon,
Won Sungho,
Lutz Sharon M.,
Hecker Julian,
Lange Christoph
Publication year - 2019
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.22250
Subject(s) - population stratification , snp , genome wide association study , single nucleotide polymorphism , genetic association , biology , population , type i and type ii errors , false discovery rate , genome , genetics , statistics , computational biology , stratification (seeds) , evolutionary biology , mathematics , genotype , medicine , gene , environmental health , seed dormancy , botany , germination , dormancy
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.