Literature DB >> 15044658

The human obesity gene map: the 2003 update.

Eric E Snyder1, Brandon Walts, Louis Pérusse, Yvon C Chagnon, S John Weisnagel, Tuomo Rankinen, Claude Bouchard.   

Abstract

This is the tenth update of the human obesity gene map, incorporating published results up to the end of October 2003 and continuing the previous format. Evidence from single-gene mutation obesity cases, Mendelian disorders exhibiting obesity as a clinical feature, quantitative trait loci (QTLs) from human genome-wide scans and animal crossbreeding experiments, and association and linkage studies with candidate genes and other markers is reviewed. Transgenic and knockout murine models relevant to obesity are also incorporated (N = 55). As of October 2003, 41 Mendelian syndromes relevant to human obesity have been mapped to a genomic region, and causal genes or strong candidates have been identified for most of these syndromes. QTLs reported from animal models currently number 183. There are 208 human QTLs for obesity phenotypes from genome-wide scans and candidate regions in targeted studies. A total of 35 genomic regions harbor QTLs replicated among two to five studies. Attempts to relate DNA sequence variation in specific genes to obesity phenotypes continue to grow, with 272 studies reporting positive associations with 90 candidate genes. Fifteen such candidate genes are supported by at least five positive studies. The obesity gene map shows putative loci on all chromosomes except Y. Overall, more than 430 genes, markers, and chromosomal regions have been associated or linked with human obesity phenotypes. The electronic version of the map with links to useful sites can be found at http://obesitygene.pbrc.edu.

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Year:  2004        PMID: 15044658     DOI: 10.1038/oby.2004.47

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


  43 in total

1.  Rat chromosome 8 confers protection against dyslipidemia caused by a high-fat/low-carbohydrate diet.

Authors:  Leah C Solberg Woods; Brett C Woods; Caroline M Leitschuh; Sonia J Laurie; Howard J Jacob
Journal:  J Nutrigenet Nutrigenomics       Date:  2012-06-19

2.  Mini-review: Obesity in Caribbean Youth.

Authors:  E A Traboulay; O P-A Hoyte
Journal:  West Indian Med J       Date:  2015-04-01       Impact factor: 0.171

3.  Comparison of three methods to estimate genetic ancestry and control for stratification in genetic association studies among admixed populations.

Authors:  Hui-Ju Tsai; Shweta Choudhry; Mariam Naqvi; William Rodriguez-Cintron; Esteban González Burchard; Elad Ziv
Journal:  Hum Genet       Date:  2005-10-06       Impact factor: 4.132

4.  Genomic mapping of direct and correlated responses to long-term selection for rapid growth rate in mice.

Authors:  Mark F Allan; Eugene J Eisen; Daniel Pomp
Journal:  Genetics       Date:  2005-06-08       Impact factor: 4.562

5.  Possible genomic imprinting of three human obesity-related genetic loci.

Authors:  Chuanhui Dong; Wei-Dong Li; Frank Geller; Lei Lei; Ding Li; Olga Y Gorlova; Johannes Hebebrand; Christopher I Amos; Robert D Nicholls; R Arlen Price
Journal:  Am J Hum Genet       Date:  2005-01-12       Impact factor: 11.025

6.  The clinical biochemistry of obesity.

Authors:  Ken A Sikaris
Journal:  Clin Biochem Rev       Date:  2004-08

Review 7.  Behavioral management of obesity.

Authors:  Craig A Johnston; Chermaine Tyler; John P Foreyt
Journal:  Curr Atheroscler Rep       Date:  2007-12       Impact factor: 5.113

8.  alpha2-Heremans-Schmid glycoprotein gene polymorphisms are associated with adipocyte insulin action.

Authors:  I Dahlman; P Eriksson; M Kaaman; H Jiao; C M Lindgren; J Kere; P Arner
Journal:  Diabetologia       Date:  2004-12-01       Impact factor: 10.122

9.  The TaqIA RFLP is associated with attenuated intervention-induced body weight loss and increased carbohydrate intake in post-menopausal obese women.

Authors:  Jameason D Cameron; Marie-Ève Riou; Frédérique Tesson; Gary S Goldfield; Rémi Rabasa-Lhoret; Martin Brochu; Éric Doucet
Journal:  Appetite       Date:  2012-09-29       Impact factor: 3.868

10.  Clique-based data mining for related genes in a biomedical database.

Authors:  Tsutomu Matsunaga; Chikara Yonemori; Etsuji Tomita; Masaaki Muramatsu
Journal:  BMC Bioinformatics       Date:  2009-07-01       Impact factor: 3.169

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