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

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 w...

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Bibliographic Details
Published in:Scientific reports 2021-03, Vol.11 (1), p.5001-11, Article 5001
Main Authors: Jung, Hae-Un, Lee, Won Jun, Ha, Tae-Woong, Kang, Ji-One, Kim, Jihye, Kim, Mi Kyung, Won, Sungho, Park, Taesung, Lim, Ji Eun, Oh, Bermseok
Format: Article
Language:English
Subjects:
631/114
631/208
Bayesian analysis
Body mass index
Efnb2 gene
Environmental factors
Genetic diversity
Genetic variance
Genome-wide association studies
Genomes
Humanities and Social Sciences
multidisciplinary
Phenotypes
Physical activity
Science
Science (multidisciplinary)
Single-nucleotide polymorphism
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Summary: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 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-83684-1