Literature DB >> 14671193

Genome-wide linkage scan for the metabolic syndrome in the HERITAGE Family Study.

Ruth J F Loos1, Peter T Katzmarzyk, D C Rao, Treva Rice, Arthur S Leon, James S Skinner, Jack H Wilmore, Tuomo Rankinen, Claude Bouchard.   

Abstract

The metabolic syndrome involves multiple and interactive effects of genes and environmental factors. To identify chromosomal regions encoding genes possibly predisposing to the metabolic syndrome, we performed a genome-wide scan with 456 white and 217 black participants from 204 nuclear families of the HERITAGE Family Study, using regression-based, single- and multipoint linkage analyses on 509 markers. A principal component analysis was performed on 7 metabolic syndrome-related phenotypes. Two principal components, PC1 and PC2 (55% of the variance), were used as metabolic syndrome phenotypes. ANOVA was used to quantify the familial aggregation of PC1 and PC2. Family membership contributed significantly (P < 0.0023) to the variance in PC1 (r(2) = 0.38 in whites; r(2) = 0.55 in blacks) and PC2 (r(2) = 0.51; r(2) = 0.48). In whites, promising evidence for linkage (P < 0.0023) was found for PC1 (2 markers on 10p11.2) and PC2 (a marker on 19q13.4). Suggestive evidence of linkage (0.01 > P > 0.0023) appeared for PC1 (1q41 and 9p13.1) and PC2 (2p22.3). In blacks, promising linkage was found for PC2 on 1p34.1, and suggestive linkage was found on 7q31.3 and 9q21.1. The genome-wide scan revealed evidence for quantitative trait loci on chromosomal regions that have been previously linked with individual cardiovascular disease and type 2 diabetes risk factors. Some of these chromosomal regions harbor promising potential candidate genes.

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Year:  2003        PMID: 14671193     DOI: 10.1210/jc.2003-030553

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  42 in total

1.  Obesity-insulin targeted genes in the 3p26-25 region in human studies and LG/J and SM/J mice.

Authors:  Aldi T Kraja; Heather A Lawson; Donna K Arnett; Ingrid B Borecki; Ulrich Broeckel; Lisa de las Fuentes; Steven C Hunt; Michael A Province; James Cheverud; D C Rao
Journal:  Metabolism       Date:  2012-03-03       Impact factor: 8.694

2.  Genome-wide linkage scans for prediabetes phenotypes in response to 20 weeks of endurance exercise training in non-diabetic whites and blacks: the HERITAGE Family Study.

Authors:  P An; M Teran-Garcia; T Rice; T Rankinen; S J Weisnagel; R N Bergman; R C Boston; S Mandel; D Stefanovski; A S Leon; J S Skinner; D C Rao; C Bouchard
Journal:  Diabetologia       Date:  2005-05-03       Impact factor: 10.122

3.  Quantitative founder-effect analysis of French Canadian families identifies specific loci contributing to metabolic phenotypes of hypertension.

Authors:  P Hamet; E Merlo; O Seda; U Broeckel; J Tremblay; M Kaldunski; D Gaudet; G Bouchard; B Deslauriers; F Gagnon; G Antoniol; Z Pausová; M Labuda; M Jomphe; F Gossard; G Tremblay; R Kirova; P Tonellato; S N Orlov; J Pintos; J Platko; T J Hudson; J D Rioux; T A Kotchen; A W Cowley
Journal:  Am J Hum Genet       Date:  2005-03-30       Impact factor: 11.025

4.  Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome?

Authors:  B Benyamin; T I A Sørensen; K Schousboe; M Fenger; P M Visscher; K O Kyvik
Journal:  Diabetologia       Date:  2007-07-12       Impact factor: 10.122

5.  Applying novel genome-wide linkage strategies to search for loci influencing type 2 diabetes and adult height in American Samoa.

Authors:  Karolina Aberg; Guangyun Sun; Diane Smelser; Subba Rao Indugula; Hui-Ju Tsai; Matthew S Steele; John Tuitele; Ranjan Deka; Stephen T McGarvey; Daniel E Weeks
Journal:  Hum Biol       Date:  2008-04       Impact factor: 0.553

6.  A prevalent caveolin-1 gene variant is associated with the metabolic syndrome in Caucasians and Hispanics.

Authors:  Rene Baudrand; Mark O Goodarzi; Anand Vaidya; Patricia C Underwood; Jonathan S Williams; Xavier Jeunemaitre; Paul N Hopkins; Nancy Brown; Benjamin A Raby; Jessica Lasky-Su; Gail K Adler; Jinrui Cui; Xiuqing Guo; Kent D Taylor; Yii-Der I Chen; Anny Xiang; Leslie J Raffel; Thomas A Buchanan; Jerome I Rotter; Gordon H Williams; Luminita H Pojoga
Journal:  Metabolism       Date:  2015-09-12       Impact factor: 8.694

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.  Heritabilities of the metabolic syndrome and its components in the Northern Manhattan Family Study.

Authors:  H-F Lin; B Boden-Albala; S H Juo; N Park; T Rundek; R L Sacco
Journal:  Diabetologia       Date:  2005-08-04       Impact factor: 10.122

9.  Genome-wide linkage analysis of multiple metabolic factors: evidence of genetic heterogeneity.

Authors:  Ching-Yu Cheng; Kristine E Lee; Priya Duggal; Emily L Moore; Alexander F Wilson; Ronald Klein; Joan E Bailey-Wilson; Barbara E K Klein
Journal:  Obesity (Silver Spring)       Date:  2009-05-14       Impact factor: 5.002

Review 10.  Cannabinoids in eating disorders and obesity.

Authors:  Francisco Arias Horcajadas
Journal:  Mol Neurobiol       Date:  2007-07-07       Impact factor: 5.590

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