rs12402440 - C1orf94 - MIR552

Magnitude 2.0 · 1 study on file

Reported associations

• Identification of genetic loci affecting body mass index through interaction with multiple environmental factors using structured linear mixed model - Scientific reports (2021) · Jung HU, Lee WJ, Ha TW, Kang JO, Kim J, Kim MK, Won S, Park T, Lim JE, Oh B · PubMed 33654129

  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 (

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