Integrative functional linear model for genome-wide association studies with multiple traits.

ABSTRACT: In recent biomedical research, genome-wide association studies (GWAS) have demonstrated great success in investigating the genetic architecture of human diseases. For many complex diseases, multiple correlated traits have been collected. However, most of the existing GWAS are still limited because they analyze each trait separately without considering their correlations and suffer from a lack of sufficient information. Moreover, the high dimensionality of single nucleotide polymorphism (SNP) data still poses tremendous challenges to statistical methods, in both theoretical and practical aspects. In this article, we innovatively propose an integrative functional linear model for GWAS with multiple traits. This study is the first to approximate SNPs as functional objects in a joint model of

SUBMITTER: Li Y 

PROVIDER: S-EPMC9007435 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature