Literature DB >> 20054160

Polygenic obesity in humans.

Anke Hinney1, Johannes Hebebrand.   

Abstract

The molecular genetic analysis of obesity has led to the identification of a limited number of confirmed major genes. While such major genes have a clear influence on the development of the phenotype, the underlying mutations are however (extremely) infrequent and thus of minor clinical importance only. The genetic predisposition to obesity must thus be polygenic; a number of such variants should be found in most obese subjects; however, these variants predisposing to obesity are also found in normal weight and even lean individuals. Therefore, a polygene can only be identified and validated by statistical analyses: the appropriate gene variant (allele) occurs more frequently in obese than in non-obese subjects. Each single polygene makes only a small contribution to the development of obesity. The 103Ile allele of the Val103Ile single nucleotide polymorphism (SNP) of the melanocortin-4 receptor gene (MC4R) was the first confirmed polygenetic variant with an influence on the body mass index (BMI); the more common Val103 allele is more frequent in obese individuals. As determined in a recent, large-scaled meta-analysis the effect size of this allele on mean BMI was approximately -0.5 kg/m(2). The first genome-wide association study (GWA) for obesity, based on approximately 100,000 SNPs analyzed in families of the Framingham study, revealed that a SNP in the proximity of the insulin-induced gene 2 (INSIG2) was associated with obesity. The positive result was replicated in independent samples; however, some other study groups detected no association. Currently, a meta-analysis is ongoing; its result will contribute to the evaluation of the importance of the INSIG2 polymorphism in body weight regulation. SNP alleles in intron 1 of the fat mass and obesity associated gene (FTO) confer the most relevant polygenic effect on obesity. In the first GWA for extreme early onset obesity we substantiated that variation in FTO strongly contributes to early onset obesity. Copyright 2008 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2008        PMID: 20054160      PMCID: PMC6444787          DOI: 10.1159/000113935

Source DB:  PubMed          Journal:  Obes Facts        ISSN: 1662-4025            Impact factor:   3.942


  18 in total

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2.  Polygenic approaches to detect gene-environment interactions when external information is unavailable.

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3.  Epigenetics lights up the obesity field.

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5.  Genes and lifestyle factors in obesity: results from 12,462 subjects from MONICA/KORA.

Authors:  C Holzapfel; H Grallert; C Huth; S Wahl; B Fischer; A Döring; I M Rückert; A Hinney; J Hebebrand; H-E Wichmann; H Hauner; T Illig; I M Heid
Journal:  Int J Obes (Lond)       Date:  2010-04-13       Impact factor: 5.095

Review 6.  Child and adolescent psychiatric genetics.

Authors:  Johannes Hebebrand; Andre Scherag; Benno G Schimmelmann; Anke Hinney
Journal:  Eur Child Adolesc Psychiatry       Date:  2010-02-06       Impact factor: 4.785

Review 7.  The genetics of obesity and the metabolic syndrome.

Authors:  Keri L Monda; Kari E North; Steven C Hunt; D C Rao; Michael A Province; Aldi T Kraja
Journal:  Endocr Metab Immune Disord Drug Targets       Date:  2010-06       Impact factor: 2.895

Review 8.  From monogenic to polygenic obesity: recent advances.

Authors:  Anke Hinney; Carla I G Vogel; Johannes Hebebrand
Journal:  Eur Child Adolesc Psychiatry       Date:  2010-02-03       Impact factor: 4.785

9.  The heritability of body composition.

Authors:  Avivit Brener; Yarden Waksman; Talya Rosenfeld; Sigal Levy; Itai Peleg; Adi Raviv; Hagar Interator; Yael Lebenthal
Journal:  BMC Pediatr       Date:  2021-05-08       Impact factor: 2.125

10.  Non-replication of an association of CTNNBL1 polymorphisms and obesity in a population of Central European ancestry.

Authors:  Carla I G Vogel; Brandon Greene; André Scherag; Timo D Müller; Susann Friedel; Harald Grallert; Iris M Heid; Thomas Illig; H-Erich Wichmann; Helmut Schäfer; Johannes Hebebrand; Anke Hinney
Journal:  BMC Med Genet       Date:  2009-02-19       Impact factor: 2.103

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