Leveraging family history in genetic association analyses of binary traits.

ABSTRACT:

Background

Considering relatives' health history in logistic regression for case-control genome-wide association studies (CC-GWAS) may provide new information that increases accuracy and power to detect disease associated genetic variants. We conducted simulations and analyzed type 2 diabetes (T2D) data from the Framingham Heart Study (FHS) to compare two methods, liability threshold model conditional on both case-control status and family history (LT-FH) and Fam-meta, which incorporate family history into CC-GWAS.

Results

In our simulation scenario of trait with modest T2D heritability (h² = 0.28), variant minor allele frequency ranging from 1% to 50%, and 1% of phenotype variance explained by the genetic variants, Fam-meta had the highest overall power, while bo

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC9526325 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature