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Identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight
The incidence of type 2 diabetes is rising rapidly because of an increase in the incidence of being overweight and obesity. Identification of genetic determinants for complex diseases, such as type 2 diabetes, may provide insight into disease pathogenesis. The aim of the study was to investigate the...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3584667/ https://www.ncbi.nlm.nih.gov/pubmed/23392254 http://dx.doi.org/10.1038/emm.2013.5 |
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author | Park, Mi-Hyun Kwak, Soo Heon Kim, Kwang Joong Go, Min Jin Lee, Hye-Ja Kim, Kyung-Seon Hwang, Joo-Yeon Kimm, Kuchan Cho, Young-Min Kyu Lee, Hong Park, Kyong Soo Lee, Jong-Young |
author_facet | Park, Mi-Hyun Kwak, Soo Heon Kim, Kwang Joong Go, Min Jin Lee, Hye-Ja Kim, Kyung-Seon Hwang, Joo-Yeon Kimm, Kuchan Cho, Young-Min Kyu Lee, Hong Park, Kyong Soo Lee, Jong-Young |
author_sort | Park, Mi-Hyun |
collection | PubMed |
description | The incidence of type 2 diabetes is rising rapidly because of an increase in the incidence of being overweight and obesity. Identification of genetic determinants for complex diseases, such as type 2 diabetes, may provide insight into disease pathogenesis. The aim of the study was to investigate the shared genetic factors that predispose individuals to being overweight and developing type 2 diabetes. We conducted genome-wide linkage analyses for type 2 diabetes in 386 affected individuals (269 sibpairs) from 171 Korean families and association analyses with single-nucleotide polymorphisms of candidate genes within linkage regions to identify genetic variants that predispose individuals to being overweight and developing type 2 diabetes. Through fine-mapping analysis of chromosome 4q34-35, we detected a locus potentially linked (nonparametric linkage 2.81, logarithm of odds 2.27, P=6 × 10(−4)) to type 2 diabetes in overweight or obese individuals (body mass index, BMI⩾23 kg m(−2)). Multiple regression analysis with type 2 diabetes-related phenotypes revealed a significant association (false discovery rate (FDR) P=0.006 for rs13144140; FDR P=0.002 for rs6830266) between GPM6A (rs13144140) and BMI and waist–hip ratio, and between NEIL3 (rs6830266) and insulin level from 1314 normal individuals. Our systematic search of genome-wide linkage and association studies, demonstrate that a linkage peak for type 2 diabetes on chromosome 4q34-35 contains two type 2 diabetes-related genes, GPM6A and NEIL3. |
format | Online Article Text |
id | pubmed-3584667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-35846672013-03-01 Identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight Park, Mi-Hyun Kwak, Soo Heon Kim, Kwang Joong Go, Min Jin Lee, Hye-Ja Kim, Kyung-Seon Hwang, Joo-Yeon Kimm, Kuchan Cho, Young-Min Kyu Lee, Hong Park, Kyong Soo Lee, Jong-Young Exp Mol Med Original Article The incidence of type 2 diabetes is rising rapidly because of an increase in the incidence of being overweight and obesity. Identification of genetic determinants for complex diseases, such as type 2 diabetes, may provide insight into disease pathogenesis. The aim of the study was to investigate the shared genetic factors that predispose individuals to being overweight and developing type 2 diabetes. We conducted genome-wide linkage analyses for type 2 diabetes in 386 affected individuals (269 sibpairs) from 171 Korean families and association analyses with single-nucleotide polymorphisms of candidate genes within linkage regions to identify genetic variants that predispose individuals to being overweight and developing type 2 diabetes. Through fine-mapping analysis of chromosome 4q34-35, we detected a locus potentially linked (nonparametric linkage 2.81, logarithm of odds 2.27, P=6 × 10(−4)) to type 2 diabetes in overweight or obese individuals (body mass index, BMI⩾23 kg m(−2)). Multiple regression analysis with type 2 diabetes-related phenotypes revealed a significant association (false discovery rate (FDR) P=0.006 for rs13144140; FDR P=0.002 for rs6830266) between GPM6A (rs13144140) and BMI and waist–hip ratio, and between NEIL3 (rs6830266) and insulin level from 1314 normal individuals. Our systematic search of genome-wide linkage and association studies, demonstrate that a linkage peak for type 2 diabetes on chromosome 4q34-35 contains two type 2 diabetes-related genes, GPM6A and NEIL3. Nature Publishing Group 2013-02 2013-02-08 /pmc/articles/PMC3584667/ /pubmed/23392254 http://dx.doi.org/10.1038/emm.2013.5 Text en Copyright © 2013 KSBMB. http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article Park, Mi-Hyun Kwak, Soo Heon Kim, Kwang Joong Go, Min Jin Lee, Hye-Ja Kim, Kyung-Seon Hwang, Joo-Yeon Kimm, Kuchan Cho, Young-Min Kyu Lee, Hong Park, Kyong Soo Lee, Jong-Young Identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight |
title | Identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight |
title_full | Identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight |
title_fullStr | Identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight |
title_full_unstemmed | Identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight |
title_short | Identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight |
title_sort | identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3584667/ https://www.ncbi.nlm.nih.gov/pubmed/23392254 http://dx.doi.org/10.1038/emm.2013.5 |
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