A new efficient method to detect genetic interactions for lung cancer GWAS

A new efficient method to detect genetic interactions for lung cancer GWAS

Abstract Background Genome-wide association studies (GWAS) have proven successful in predicting genetic risk of disease using single-locus models; however, identifying single nucleotide polymorphism (SNP) interactions at the genome-wide scale is limited due to computational and statistical challenge...

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Main Authors: Jennifer Luyapan (Author), Xuemei Ji (Author), Siting Li (Author), Xiangjun Xiao (Author), Dakai Zhu (Author), Eric J. Duell (Author), David C. Christiani (Author), Matthew B. Schabath (Author), Susanne M. Arnold (Author), Shanbeh Zienolddiny (Author), Hans Brunnstròˆm (Author), Olle Melander (Author), Mark D. Thornquist (Author), Todd A. MacKenzie (Author), Christopher I. Amos (Author), Jiang Gui (Author)
Format: Book
Published: BMC, 2020-10-01T00:00:00Z.
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