Literature DB >> 10678263

The human obesity gene map: the 1999 update.

Y C Chagnon1, L Pérusse, S J Weisnagel, T Rankinen, C Bouchard.   

Abstract

This report constitutes the sixth update of the human obesity gene map incorporating published results up to the end of October 1999. Evidence from the rodent and human obesity cases caused by single gene mutations, Mendelian disorders exhibiting obesity as a clinical feature, quantitative trait loci (QTL) uncovered in human genome-wide scans and in crossbreeding experiments with mouse, rat, pig and chicken models, association and linkage studies with candidate genes and other markers is reviewed. Twenty-five human cases of obesity can now be explained by variation in five genes. Twenty Mendelian disorders exhibiting obesity as one of their clinical manifestations have now been mapped. The number of different QTLs reported from animal models reaches now 98. Attempts to relate DNA sequence variation in specific genes to obesity phenotypes continue to grow, with 89 reports of positive associations pertaining to 40 candidate genes. Finally, 44 loci have linked to obesity indicators in genomic scans and other linkage study designs. The obesity gene map depicted in Figure 1 reveals that putative loci affecting obesity-related phenotypes can be found on all autosomes, with chromosomes 14 and 21 showing each one locus only. The number of genes, markers, and chromosomal regions that have been associated or linked with human obesity phenotypes continues to increase and is now well above 200.

Entities:  

Mesh:

Year:  2000        PMID: 10678263     DOI: 10.1038/oby.2000.12

Source DB:  PubMed          Journal:  Obes Res        ISSN: 1071-7323


  17 in total

1.  Quantitative trait loci on chromosomes 3 and 17 influence phenotypes of the metabolic syndrome.

Authors:  A H Kissebah; G E Sonnenberg; J Myklebust; M Goldstein; K Broman; R G James; J A Marks; G R Krakower; H J Jacob; J Weber; L Martin; J Blangero; A G Comuzzie
Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-19       Impact factor: 11.205

2.  Obesity genes.

Authors:  T I Sørensen; S M Echwald
Journal:  BMJ       Date:  2001-03-17

3.  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

Review 4.  Complex interactions in complex traits: obesity and asthma.

Authors:  K G Tantisira; S T Weiss
Journal:  Thorax       Date:  2001-09       Impact factor: 9.139

5.  Complex haplotypes of IRS2 gene are associated with severe obesity and reveal heterogeneity in the effect of Gly1057Asp mutation.

Authors:  Corinne Lautier; Samira Ait El Mkadem; Eric Renard; Jean Frédéric Brun; Jean Christophe Gris; Jacques Bringer; Florin Grigorescu
Journal:  Hum Genet       Date:  2003-04-10       Impact factor: 4.132

6.  Genome-wide scan for body composition in pigs reveals important role of imprinting.

Authors:  D J de Koning; A P Rattink; B Harlizius; J A van Arendonk; E W Brascamp; M A Groenen
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

7.  PPAR-γ receptor agonists-a review of their role in diabetic management in Trinidad and Tobago.

Authors:  Steve Ian Smith
Journal:  Mol Cell Biochem       Date:  2004-08       Impact factor: 3.396

8.  Single nucleotide variants in the beta2-adrenergic and beta3-adrenergic receptor genes explained 18.3% of adolescent obesity variation.

Authors:  Hye Soon Park; Younyoung Kim; Chaeyoung Lee
Journal:  J Hum Genet       Date:  2005-06-15       Impact factor: 3.172

9.  Single QTL effects, epistasis, and pleiotropy account for two-thirds of the phenotypic F(2) variance of growth and obesity in DU6i x DBA/2 mice.

Authors:  G A Brockmann; J Kratzsch; C S Haley; U Renne; M Schwerin; S Karle
Journal:  Genome Res       Date:  2000-12       Impact factor: 9.043

10.  A genome scan for loci linked to quantitative insulin traits in persons without diabetes: the Framingham Offspring Study.

Authors:  C I M Panhuysen; L A Cupples; P W F Wilson; A G Herbert; R H Myers; J B Meigs
Journal:  Diabetologia       Date:  2003-03-21       Impact factor: 10.122

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