Simulating variance heterogeneity in quantitative genome wide association studies

Simulating variance heterogeneity in quantitative genome wide association studies

Abstract Background Analyzing Variance heterogeneity in genome wide association studies (vGWAS) is an emerging approach for detecting genetic loci involved in gene-gene and gene-environment interactions. vGWAS analysis detects variability in phenotype values across genotypes, as opposed to typical G...

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Bibliographic Details
Main Authors: Ahmad Al Kawam, Mustafa Alshawaqfeh, James J. Cai, Erchin Serpedin, Aniruddha Datta
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
Variance heterogeneity
Genome wide association studies
GWAS simulation
Online Access:http://link.springer.com/article/10.1186/s12859-018-2061-1

Internet

http://link.springer.com/article/10.1186/s12859-018-2061-1

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