Structural equation modeling for hypertension and type 2 diabetes based on multiple SNPs and multiple phenotypes.

ABSTRACT: Genome-wide association studies (GWAS) have been successful in identifying genetic variants associated with complex diseases. However, association analyses between genotypes and phenotypes are not straightforward due to the complex relationships between genetic and environmental factors. Moreover, multiple correlated phenotypes further complicate such analyses. To resolve this complexity, we present an analysis using structural equation modeling (SEM). Unlike current methods that focus only on identifying direct associations between diseases and genetic variants such as single-nucleotide polymorphisms (SNPs), our method introduces the effects of intermediate phenotypes, which are related phenotypes distinct from the target, into the systematic genetic study of diseases. Moreover, we consid

SUBMITTER: Jeon S 

PROVIDER: S-EPMC6742377 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature