Journal Articles
Publication Date
10-1-2022
Journal
BMC Genomics
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 (h
CONCLUSIONS: Overall, LT-FH and Fam-meta had higher power than CC-GWAS in simulations, especially using phenotypes that were more prevalent in older age groups, and both methods detected known genetic variants with lower P-values in real data application, highlighting the benefits of including family history in genetic association studies.
Keywords
Diabetes Mellitus, Type 2, Genetic Association Studies, Genome-Wide Association Study, Humans, Phenotype, Polymorphism, Single Nucleotide