Identification of genetic loci affecting body mass index through interaction with multiple environmental factors using structured linear mixed model.

ABSTRACT: Multiple environmental factors could interact with a single genetic factor to affect disease phenotypes. We used Struct-LMM to identify genetic variants that interacted with environmental factors related to body mass index (BMI) using data from the Korea Association Resource. The following factors were investigated: alcohol consumption, education, physical activity metabolic equivalent of task (PAMET), income, total calorie intake, protein intake, carbohydrate intake, and smoking status. Initial analysis identified 7 potential single nucleotide polymorphisms (SNPs) that interacted with the environmental factors (P value < 5.00 × 10^-6). Of the 8 environmental factors, PAMET score was excluded for further analysis since it had an average Bayes Factor (BF) value < 1 (BF = 0.88). In

SUBMITTER: Jung HU 

PROVIDER: S-EPMC7925554 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature