Joint Identification of Genetic Variants for Physical Activity in Korean Population
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 informati...
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doaj-94a8ace60c354349824ba706fce771212020-11-24T22:59:56ZengMDPI AGInternational Journal of Molecular Sciences1422-00672014-07-01157124071242110.3390/ijms150712407ijms150712407Joint Identification of Genetic Variants for Physical Activity in Korean PopulationJayoun Kim0Jaehee Kim1Haesook Min2Sohee Oh3Yeonjung Kim4Andy H. Lee5Taesung Park6Biomedical Research Institute, Seoul National University Bundang Hospital, Seongnam-si 463707, KoreaInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151742, KoreaDivision of Epidemiology and Health Index, Center for Genome Science, Korea Centers for Disease Control & Prevention, Cheongwon-gun 363951, KoreaDepartment of Biostatistics, SMG-SNU Boramae Medical Center, Seoul 156707, KoreaDivision of Epidemiology and Health Index, Center for Genome Science, Korea Centers for Disease Control & Prevention, Cheongwon-gun 363951, KoreaSchool of Public Health, Curtin University, Perth 6845, AustraliaInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151742, KoreaThere 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.http://www.mdpi.com/1422-0067/15/7/12407elastic-net regularizationempirical replicationmetabolic equivalent task |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jayoun Kim Jaehee Kim Haesook Min Sohee Oh Yeonjung Kim Andy H. Lee Taesung Park |
spellingShingle |
Jayoun Kim Jaehee Kim Haesook Min Sohee Oh Yeonjung Kim Andy H. Lee Taesung Park Joint Identification of Genetic Variants for Physical Activity in Korean Population International Journal of Molecular Sciences elastic-net regularization empirical replication metabolic equivalent task |
author_facet |
Jayoun Kim Jaehee Kim Haesook Min Sohee Oh Yeonjung Kim Andy H. Lee Taesung Park |
author_sort |
Jayoun Kim |
title |
Joint Identification of Genetic Variants for Physical Activity in Korean Population |
title_short |
Joint Identification of Genetic Variants for Physical Activity in Korean Population |
title_full |
Joint Identification of Genetic Variants for Physical Activity in Korean Population |
title_fullStr |
Joint Identification of Genetic Variants for Physical Activity in Korean Population |
title_full_unstemmed |
Joint Identification of Genetic Variants for Physical Activity in Korean Population |
title_sort |
joint identification of genetic variants for physical activity in korean population |
publisher |
MDPI AG |
series |
International Journal of Molecular Sciences |
issn |
1422-0067 |
publishDate |
2014-07-01 |
description |
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. |
topic |
elastic-net regularization empirical replication metabolic equivalent task |
url |
http://www.mdpi.com/1422-0067/15/7/12407 |
work_keys_str_mv |
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