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Genome-wide association study of metabolic syndrome in Korean populations

Metabolic syndrome (MetS) which is caused by obesity and insulin resistance, is well known for its predictive capability for the risk of type 2 diabetes mellitus and cardiovascular disease. The development of MetS is associated with multiple genetic factors, environmental factors and lifestyle. We p...

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Autores principales: Oh, Seung-Won, Lee, Jong-Eun, Shin, Eunsoon, Kwon, Hyuktae, Choe, Eun Kyung, Choi, Su-Yeon, Rhee, Hwanseok, Choi, Seung Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6946588/
https://www.ncbi.nlm.nih.gov/pubmed/31910446
http://dx.doi.org/10.1371/journal.pone.0227357
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author Oh, Seung-Won
Lee, Jong-Eun
Shin, Eunsoon
Kwon, Hyuktae
Choe, Eun Kyung
Choi, Su-Yeon
Rhee, Hwanseok
Choi, Seung Ho
author_facet Oh, Seung-Won
Lee, Jong-Eun
Shin, Eunsoon
Kwon, Hyuktae
Choe, Eun Kyung
Choi, Su-Yeon
Rhee, Hwanseok
Choi, Seung Ho
author_sort Oh, Seung-Won
collection PubMed
description Metabolic syndrome (MetS) which is caused by obesity and insulin resistance, is well known for its predictive capability for the risk of type 2 diabetes mellitus and cardiovascular disease. The development of MetS is associated with multiple genetic factors, environmental factors and lifestyle. We performed a genome-wide association study to identify single-nucleotide polymorphism (SNP) related to MetS in large Korean population based samples of 1,362 subjects with MetS and 6,061 controls using the Axiom(®) Korean Biobank Array 1.0. We replicated the data in another sample including 502 subjects with MetS and 1,751 controls. After adjusting for age and sex, rs662799 located in the APOA5 gene were significantly associated with MetS. 15 SNPs in GCKR, C2orf16, APOA5, ZPR1, and BUD13 were associated with high triglyceride (TG). 14 SNPs in APOA5, ALDH1A2, LIPC, HERPUD1, and CETP, and 2 SNPs in MTNR1B were associated with low high density lipoprotein cholesterol (HDL-C) and high fasting blood glucose respectively. Among these SNPs, 6 TG SNPs: rs1260326, rs1260333, rs1919127, rs964184, rs2075295 and rs1558861 and 11 HDL-C SNPs: rs4775041, rs10468017, rs1800588, rs72786786, rs173539, rs247616, rs247617, rs3764261, rs4783961, rs708272, and rs7499892 were first discovered in Koreans. Additional research is needed to confirm these 17 novel SNPs in Korean population.
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spelling pubmed-69465882020-01-17 Genome-wide association study of metabolic syndrome in Korean populations Oh, Seung-Won Lee, Jong-Eun Shin, Eunsoon Kwon, Hyuktae Choe, Eun Kyung Choi, Su-Yeon Rhee, Hwanseok Choi, Seung Ho PLoS One Research Article Metabolic syndrome (MetS) which is caused by obesity and insulin resistance, is well known for its predictive capability for the risk of type 2 diabetes mellitus and cardiovascular disease. The development of MetS is associated with multiple genetic factors, environmental factors and lifestyle. We performed a genome-wide association study to identify single-nucleotide polymorphism (SNP) related to MetS in large Korean population based samples of 1,362 subjects with MetS and 6,061 controls using the Axiom(®) Korean Biobank Array 1.0. We replicated the data in another sample including 502 subjects with MetS and 1,751 controls. After adjusting for age and sex, rs662799 located in the APOA5 gene were significantly associated with MetS. 15 SNPs in GCKR, C2orf16, APOA5, ZPR1, and BUD13 were associated with high triglyceride (TG). 14 SNPs in APOA5, ALDH1A2, LIPC, HERPUD1, and CETP, and 2 SNPs in MTNR1B were associated with low high density lipoprotein cholesterol (HDL-C) and high fasting blood glucose respectively. Among these SNPs, 6 TG SNPs: rs1260326, rs1260333, rs1919127, rs964184, rs2075295 and rs1558861 and 11 HDL-C SNPs: rs4775041, rs10468017, rs1800588, rs72786786, rs173539, rs247616, rs247617, rs3764261, rs4783961, rs708272, and rs7499892 were first discovered in Koreans. Additional research is needed to confirm these 17 novel SNPs in Korean population. Public Library of Science 2020-01-07 /pmc/articles/PMC6946588/ /pubmed/31910446 http://dx.doi.org/10.1371/journal.pone.0227357 Text en © 2020 Oh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Oh, Seung-Won
Lee, Jong-Eun
Shin, Eunsoon
Kwon, Hyuktae
Choe, Eun Kyung
Choi, Su-Yeon
Rhee, Hwanseok
Choi, Seung Ho
Genome-wide association study of metabolic syndrome in Korean populations
title Genome-wide association study of metabolic syndrome in Korean populations
title_full Genome-wide association study of metabolic syndrome in Korean populations
title_fullStr Genome-wide association study of metabolic syndrome in Korean populations
title_full_unstemmed Genome-wide association study of metabolic syndrome in Korean populations
title_short Genome-wide association study of metabolic syndrome in Korean populations
title_sort genome-wide association study of metabolic syndrome in korean populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6946588/
https://www.ncbi.nlm.nih.gov/pubmed/31910446
http://dx.doi.org/10.1371/journal.pone.0227357
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