Literature DB >> 8751871

Quantitative variation in obesity-related traits and insulin precursors linked to the OB gene region on human chromosome 7.

R Duggirala1, M P Stern, B D Mitchell, L J Reinhart, P A Shipman, O C Uresandi, W K Chung, R L Leibel, C N Hales, P O'Connell, J Blangero.   

Abstract

Despite the evidence that human obesity has strong genetic determinants, efforts at identifying specific genes that influence human obesity have largely been unsuccessful. Using the sibship data obtained from 32 low income Mexican American pedigrees ascertained on a type II diabetic proband and a multipoint variance-components method, we tested for linkage between various obesity-related traits plus associated metabolic traits and 15 markers on human chromosome 7. We found evidence for linkage between markers in the OB gene region and various traits, as follows: D7S514 and extremity skinfolds (LOD = 3.1), human carboxypeptidase A1 (HCPA1) and 32,33-split proinsulin level (LOD = 4.2), and HCPA1 and proinsulin level (LOD = 3.2). A putative susceptibility locus linked to the marker D7S514 explained 56% of the total phenotypic variation in extremity skinfolds. Variation at the HCPA1 locus explained 64% of phenotypic variation in proinsulin level and approximately 73% of phenotypic variation in split proinsulin concentration, respectively. Weaker evidence for linkage to several other obesity-related traits (e.g., waist circumference, body-mass index, fat mass by bioimpedance, etc.) was observed for a genetic location, which is approximately 15 cM telomeric to OB. In conclusion, our study reveals that the OB region plays a significant role in determining the phenotypic variation of both insulin precursors and obesity-related traits, at least in Mexican Americans.

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Year:  1996        PMID: 8751871      PMCID: PMC1914918     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  55 in total

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Journal:  Diabetes       Date:  1995-08       Impact factor: 9.461

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  21 in total

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Journal:  Am J Hum Genet       Date:  2001-11-16       Impact factor: 11.025

2.  A combined analysis of genomewide linkage scans for body mass index from the National Heart, Lung, and Blood Institute Family Blood Pressure Program.

Authors:  Xiaodong Wu; Richard S Cooper; Ingrid Borecki; Craig Hanis; Molly Bray; Cora E Lewis; Xiaofeng Zhu; Donghui Kan; Amy Luke; David Curb
Journal:  Am J Hum Genet       Date:  2002-03-28       Impact factor: 11.025

3.  Identification of an obesity quantitative trait locus on mouse chromosome 2 and evidence of linkage to body fat and insulin on the human homologous region 20q.

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Journal:  Am J Hum Genet       Date:  1997-09       Impact factor: 11.025

5.  Genome scan for quantitative trait loci influencing HDL levels: evidence for multilocus inheritance in familial combined hyperlipidemia.

Authors:  France Gagnon; Gail P Jarvik; Michael D Badzioch; Arno G Motulsky; John D Brunzell; Ellen M Wijsman
Journal:  Hum Genet       Date:  2005-06-16       Impact factor: 4.132

6.  Genome scan for human obesity and linkage to markers in 20q13.

Authors:  J H Lee; D R Reed; W D Li; W Xu; E J Joo; R L Kilker; E Nanthakumar; M North; H Sakul; C Bell; R A Price
Journal:  Am J Hum Genet       Date:  1999-01       Impact factor: 11.025

7.  Meta-analysis of linkage data under worst-case conditions: a demonstration using the human OB region.

Authors:  D B Allison; M Heo
Journal:  Genetics       Date:  1998-02       Impact factor: 4.562

8.  Linkage of type 2 diabetes mellitus and of age at onset to a genetic location on chromosome 10q in Mexican Americans.

Authors:  R Duggirala; J Blangero; L Almasy; T D Dyer; K L Williams; R J Leach; P O'Connell; M P Stern
Journal:  Am J Hum Genet       Date:  1999-04       Impact factor: 11.025

Review 9.  Human QTL linkage mapping.

Authors:  Laura Almasy; John Blangero
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10.  Genetic association study of selected candidate genes (ApoB, LPL, Leptin) and telomere length in obese and hypertensive individuals.

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Journal:  BMC Med Genet       Date:  2009-09-22       Impact factor: 2.103

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