Literature DB >> 22963884

Genome-wide association studies of obesity and metabolic syndrome.

Tove Fall1, Erik Ingelsson2.   

Abstract

Until just a few years ago, the genetic determinants of obesity and metabolic syndrome were largely unknown, with the exception of a few forms of monogenic extreme obesity. Since genome-wide association studies (GWAS) became available, large advances have been made. The first single nucleotide polymorphism robustly associated with increased body mass index (BMI) was in 2007 mapped to a gene with for the time unknown function. This gene, now known as fat mass and obesity associated (FTO) has been repeatedly replicated in several ethnicities and is affecting obesity by regulating appetite. Since the first report from a GWAS of obesity, an increasing number of markers have been shown to be associated with BMI, other measures of obesity or fat distribution and metabolic syndrome. This systematic review of obesity GWAS will summarize genome-wide significant findings for obesity and metabolic syndrome and briefly give a few suggestions of what is to be expected in the next few years.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  BMI; Body mass index; CHARGE; GIANT; GWAS; Genetic Investigation of ANthropometric Traits; Genetics; Genome-wide association studies; IV; MR; MeSH; Mendelian randomisation; MetS; Metabolic syndrome; NCEP; National Cholesterol Education Program; Obesity; QTL; T2D; WC; WHO; WHR; World Health Organization; body mass index; cohorts for heart and aging research in genomic epidemiology; eQTL; expression quantitative trait locus; genome-wide association study; instrumental variable; medical subject headings; metabolic syndrome; quantitative trait locus; type 2 diabetes; waist circumference; waist–hip ratio

Mesh:

Year:  2012        PMID: 22963884     DOI: 10.1016/j.mce.2012.08.018

Source DB:  PubMed          Journal:  Mol Cell Endocrinol        ISSN: 0303-7207            Impact factor:   4.102


  118 in total

1.  A genome-wide association study on common SNPs and rare CNVs in anorexia nervosa.

Authors:  K Wang; H Zhang; C S Bloss; V Duvvuri; W Kaye; N J Schork; W Berrettini; H Hakonarson
Journal:  Mol Psychiatry       Date:  2010-11-16       Impact factor: 15.992

Review 2.  The endocrinology of food intake.

Authors:  Denovan P Begg; Stephen C Woods
Journal:  Nat Rev Endocrinol       Date:  2013-07-23       Impact factor: 43.330

3.  A genetic risk tool for obesity predisposition assessment and personalized nutrition implementation based on macronutrient intake.

Authors:  Leticia Goni; Marta Cuervo; Fermín I Milagro; J Alfredo Martínez
Journal:  Genes Nutr       Date:  2014-11-28       Impact factor: 5.523

4.  Gut microbiota composition explains more variance in the host cardiometabolic risk than genetic ancestry.

Authors:  Sandra J Guzmán-Castañeda; Esteban L Ortega-Vega; Jacobo de la Cuesta-Zuluaga; Eliana P Velásquez-Mejía; Winston Rojas; Gabriel Bedoya; Juan S Escobar
Journal:  Gut Microbes       Date:  2019-07-16

5.  Weight or metabolism: which deserve more attention in obesity?

Authors:  Bing Zhu; Aaron M Gusdon; Shen Qu
Journal:  Ann Transl Med       Date:  2018-12

6.  A compendium of human genes regulating feeding behavior and body weight, its functional characterization and identification of GWAS genes involved in brain-specific PPI network.

Authors:  Elena V Ignatieva; Dmitry A Afonnikov; Olga V Saik; Evgeny I Rogaev; Nikolay A Kolchanov
Journal:  BMC Genet       Date:  2016-12-22       Impact factor: 2.797

7.  A study of Kibbutzim in Israel reveals risk factors for cardiometabolic traits and subtle population structure.

Authors:  Einat Granot-Hershkovitz; David Karasik; Yechiel Friedlander; Laura Rodriguez-Murillo; Rajkumar Dorajoo; Jianjun Liu; Anshuman Sewda; Inga Peter; Shai Carmi; Hagit Hochner
Journal:  Eur J Hum Genet       Date:  2018-08-14       Impact factor: 4.246

Review 8.  Evaluation and Treatment of Severe Obesity in Childhood.

Authors:  Edmond P Wickham; Mark D DeBoer
Journal:  Clin Pediatr (Phila)       Date:  2015-01-07       Impact factor: 1.168

9.  Genetic control of obesity, glucose homeostasis, dyslipidemia and fatty liver in a mouse model of diet-induced metabolic syndrome.

Authors:  D S Sinasac; J D Riordan; S H Spiezio; B S Yandell; C M Croniger; J H Nadeau
Journal:  Int J Obes (Lond)       Date:  2015-09-18       Impact factor: 5.095

Review 10.  The neuropathology of obesity: insights from human disease.

Authors:  Edward B Lee; Mark P Mattson
Journal:  Acta Neuropathol       Date:  2013-10-06       Impact factor: 17.088

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.