title: Joint identification of genetic variants for physical activity in Korean population.
abstract: There has been limited research on genome-wide association with physical activity (PA). This study ascertained genetic associations between PA and 344,893 single nucleotide polymorphism (SNP) markers in 8842 Korean samples. PA data were obtained from a validated questionnaire that included information on PA intensity and duration. Metabolic equivalent of tasks were calculated to estimate the total daily PA level for each individual. In addition to single- and multiple-SNP association tests, a pathway enrichment analysis was performed to identify the biological significance of SNP markers. Although no significant SNP was found at genome-wide significance level via single-SNP association tests, 59 genetic variants mapped to 76 genes were identified via a multiple SNP approach using a bootstrap selection stability measure. Pathway analysis for these 59 variants showed that maturity onset diabetes of the young (MODY) was enriched. Joint identification of SNPs could enable the identification of multiple SNPs with good predictive power for PA and a pathway enriched for PA.
authors.affiliation: Biomedical Research Institute, Seoul National University Bundang Hospital, Seongnam-si 463707, Korea. nunadli@gmail.com.
authors.forename: Jayoun
authors.initials: J
authors.lastname: Kim
authors.affiliation: Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151742, Korea. wisewidewarm@gmail.com.
authors.forename: Jaehee
authors.initials: J
authors.lastname: Kim
authors.affiliation: Division of Epidemiology and Health Index, Center for Genome Science, Korea Centers for Disease Control & Prevention, Cheongwon-gun 363951, Korea. agnesmin@korea.kr.
authors.forename: Haesook
authors.initials: H
authors.lastname: Min
authors.affiliation: Department of Biostatistics, SMG-SNU Boramae Medical Center, Seoul 156707, Korea. oh.sohee@gmail.com.
authors.forename: Sohee
authors.initials: S
authors.lastname: Oh
authors.affiliation: Division of Epidemiology and Health Index, Center for Genome Science, Korea Centers for Disease Control & Prevention, Cheongwon-gun 363951, Korea. kimye@korea.kr.
authors.forename: Yeonjung
authors.initials: Y
authors.lastname: Kim
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. Andy.Lee@curtin.edu.au.
authors.forename: Andy H
authors.initials: AH
authors.lastname: Lee
authors.affiliation: Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151742, Korea. tspark@stats.snu.ac.kr.
authors.forename: Taesung
authors.initials: T
authors.lastname: Park
mesh_terms: D000328:Adult; D003924:Diabetes Mellitus, Type 2 / Q000235:genetics; D005260:Female; D055106:Genome-Wide Association Study; D006801:Humans; D008297:Male; D008875:Middle Aged; D009043:Motor Activity / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide