Literature DB >> 15793262

An autosomal genome-wide scan for loci linked to pre-diabetic phenotypes in nondiabetic Chinese subjects from the Stanford Asia-Pacific Program of Hypertension and Insulin Resistance Family Study.

Yen-Feng Chiu1, Lee-Ming Chuang, Chin-Fu Hsiao, Yi-Jen Hung, Ming-Wei Lin, Ying-Tsung Chen, John Grove, Eric Jorgenson, Thomas Quertermous, Neil Risch, Chao A Hsiung.   

Abstract

Type 2 diabetes is a complex disease involving both genetic and environmental components. Abnormalities in insulin secretion and insulin action usually precede the development of type 2 diabetes and can serve as good quantitative measures for genetic mapping. We therefore undertook an autosomal genomic search to locate the quantitative trait locus (QTL) linked to these traits in 1,365 nondiabetic Chinese subjects from 411 nuclear families. Residuals of these log-transformed quantitative traits were analyzed in multipoint linkage analysis using a variance-components approach. The most significant QTL for fasting insulin, which coincides with the QTL for homeostasis model assessment of insulin resistance, was located at 37 cM on chromosome 20, with a maximum empirical logarithm of odds (LOD) score of 3.01 (empirical P = 0.00006) when adjusted for age, sex, BMI, antihypertensive medications, recruitment centers, and environmental factors. In the same region, a QTL for fasting glucose was identified at 51 cM, with an empirical LOD score of 2.03 (empirical P = 0.0012). There were other loci with maximum empirical LOD scores >or=1.29 located on chromosomes 1q, 2p, 5q, 7p, 9q, 10p, 14q, 18q, and 19q for different diabetes-related traits. These loci may harbor genes that regulate glucose homeostasis either independently or via interactions of the genes within these regions.

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Year:  2005        PMID: 15793262     DOI: 10.2337/diabetes.54.4.1200

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  14 in total

1.  Sex-specific genetic architecture of human fatness in Chinese: the SAPPHIRe Study.

Authors:  Y-F Chiu; L-M Chuang; H-Y Kao; K-C Shih; M-W Lin; W-J Lee; T Quertermous; J D Curb; I Chen; B L Rodriguez; C A Hsiung
Journal:  Hum Genet       Date:  2010-08-20       Impact factor: 4.132

2.  Agreement among type 2 diabetes linkage studies but a poor correlation with results from genome-wide association studies.

Authors:  S Lillioja; A Wilton
Journal:  Diabetologia       Date:  2009-03-19       Impact factor: 10.122

3.  Loss of renal SNX5 results in impaired IDE activity and insulin resistance in mice.

Authors:  Fengmin Li; Jian Yang; Van Anthony M Villar; Laureano D Asico; Xiaobo Ma; Ines Armando; Hironobu Sanada; Minoru Yoneda; Robin A Felder; Pedro A Jose; Xiaoyan Wang
Journal:  Diabetologia       Date:  2017-10-28       Impact factor: 10.122

4.  Candidate genes for plasma triglyceride, FFA, and glucose revealed from an intercross between inbred mouse strains NZB/B1NJ and NZW/LacJ.

Authors:  Zhiguang Su; Shirng-wern Tsaih; Jin Szatkiewicz; Yuan Shen; Beverly Paigen
Journal:  J Lipid Res       Date:  2008-03-24       Impact factor: 5.922

5.  Genome-wide linkage of obstructive sleep apnoea and high-density lipoprotein cholesterol in a Filipino family: bivariate linkage analysis of obstructive sleep apnoea.

Authors:  Bronwyn L Relf; Emma K Larkin; Carina De Torres; Louise A Baur; John Christodoulou; Karen A Waters
Journal:  J Sleep Res       Date:  2010-02-10       Impact factor: 3.981

6.  The effects of the renin-angiotensin-aldosterone system gene polymorphisms on insulin resistance in hypertensive families.

Authors:  Chin-Fu Hsiao; Wayne W H Sheu; Yi-Jen Hung; Ming-Wei Lin; David Curb; Koustubh Ranadex; Thomas Quertermous; Yue-Ming Chen; Ida Yi-Der Chen; Kwan-Dun Wu
Journal:  J Renin Angiotensin Aldosterone Syst       Date:  2012-03-14       Impact factor: 1.636

7.  Bivariate genome-wide scan for metabolic phenotypes in non-diabetic Chinese individuals from the Stanford, Asia and Pacific Program of Hypertension and Insulin Resistance Family Study.

Authors:  Y-F Chiu; L-M Chuang; H-Y Kao; L-T Ho; C-T Ting; Y-J Hung; Y-D Chen; T Donlon; J D Curb; T Quertermous; C A Hsiung
Journal:  Diabetologia       Date:  2007-06-20       Impact factor: 10.122

8.  Quantitative trait loci associated with blood pressure of metabolic syndrome in the progeny of NZO/HILtJxC3H/HeJ intercrosses.

Authors:  Eri Nishihara; Shirng-Wern Tsaih; Chieko Tsukahara; Sarah Langley; Susan Sheehan; Keith DiPetrillo; Satoshi Kunita; Ken-ichi Yagami; Gary A Churchill; Beverly Paigen; Fumihiro Sugiyama
Journal:  Mamm Genome       Date:  2007-07-20       Impact factor: 2.957

9.  Warped linear mixed models for the genetic analysis of transformed phenotypes.

Authors:  Nicolo Fusi; Christoph Lippert; Neil D Lawrence; Oliver Stegle
Journal:  Nat Commun       Date:  2014-09-19       Impact factor: 14.919

10.  Genetic polymorphisms of PCSK2 are associated with glucose homeostasis and progression to type 2 diabetes in a Chinese population.

Authors:  Tien-Jyun Chang; Yen-Feng Chiu; Wayne H-H Sheu; Kuang-Chung Shih; Chii-Min Hwu; Thomas Quertermous; Yuh-Shan Jou; Shan-Shan Kuo; Yi-Cheng Chang; Lee-Ming Chuang
Journal:  Sci Rep       Date:  2015-11-26       Impact factor: 4.379

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