Literature DB >> 19596186

Gene-environment interactions and obesity--further aspects of genomewide association studies.

Camilla H Andreasen1, Gitte Andersen.   

Abstract

Advances in genotyping technologies have facilitated the advent of the genomewide association studies in large study populations and thereby led to the identification of an impressive-and still increasing-number of genetic variants with significant impact on the risk of widespread lifestyle health problems such as obesity, diabetes, and cardiovascular disease. Yet, the scientific community is a long way from reaching a comprehensive picture of the heritable components of these diseases and advancing from plain statistical significance into a biological understanding where the true contribution to a trait is recognized. Increasingly large study populations, denser single-nucleotide polymorphism mapping, deep sequencing, and raised awareness of the importance of structural variants may add to the known genetic variance underlying common complex disorders; however, genetic variance alone probably cannot account for disease susceptibility without the addition of pre- and postnatal environmental and/or behavioral factors. Moreover, an interaction between genetic and environmental factors may hinder the detection of genetic effects if not accounted for, e.g., in genomewide association studies, and prospective cohort studies have hence been proposed to surpass the classic case-control design. With a focus on obesity we describe some of the recently reported gene-environment interactions for polymorphisms identified in the FTO and INSIG2 genes. Ultimately, a thorough understanding of the gene-environment interactions underlying a common complex condition such as obesity may suggest novel treatment or intervention strategies to complement the harmful effect of detrimental genetic variation and thus may assist in improving the quality of life for affected individuals.

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Year:  2009        PMID: 19596186     DOI: 10.1016/j.nut.2009.06.001

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  28 in total

Review 1.  Gene-environment interaction and male reproductive function.

Authors:  Jonatan Axelsson; Jens Peter Bonde; Yvonne L Giwercman; Lars Rylander; Aleksander Giwercman
Journal:  Asian J Androl       Date:  2010-03-29       Impact factor: 3.285

2.  Genetic association with lipids in Filipinos: waist circumference modifies an APOA5 effect on triglyceride levels.

Authors:  Ying Wu; Amanda F Marvelle; Jin Li; Damien C Croteau-Chonka; Alan B Feranil; Christopher W Kuzawa; Yun Li; Linda S Adair; Karen L Mohlke
Journal:  J Lipid Res       Date:  2013-09-10       Impact factor: 5.922

Review 3.  The epidemiology of obesity.

Authors:  Dang M Nguyen; Hashem B El-Serag
Journal:  Gastroenterol Clin North Am       Date:  2010-03       Impact factor: 3.806

Review 4.  Assessment of psychological predictors of weight loss: How and what for?

Authors:  Lisa Lazzeretti; Francesco Rotella; Laura Pala; Carlo Maria Rotella
Journal:  World J Psychiatry       Date:  2015-03-22

5.  Compensatory recovery of blood glucose levels in KKA(y) mice fed a high-fat diet: insulin-sparing effects of PACAP overexpression in β cells.

Authors:  Yusuke Sakurai; Hiroaki Inoue; Norihito Shintani; Akihiro Arimori; Ken-ichi Hamagami; Atsuko Hayata-Takano; Akemichi Baba; Hitoshi Hashimoto
Journal:  J Mol Neurosci       Date:  2012-04-03       Impact factor: 3.444

6.  Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents.

Authors:  Rector Arya; Vidya S Farook; Sharon P Fowler; Sobha Puppala; Geetha Chittoor; Roy G Resendez; Srinivas Mummidi; Jairam Vanamala; Laura Almasy; Joanne E Curran; Anthony G Comuzzie; Donna M Lehman; Christopher P Jenkinson; Jane L Lynch; Ralph A DeFronzo; John Blangero; Daniel E Hale; Ravindranath Duggirala; Vincent P Diego
Journal:  Genet Epidemiol       Date:  2018-02-20       Impact factor: 2.135

7.  Dietary patterns interact with chromosome 9p21 rs1333048 polymorphism on the risk of obesity and cardiovascular risk factors in apparently healthy Tehrani adults.

Authors:  Mehdi Mollahosseini; Mohammad Hossein Rahimi; Mir Saeed Yekaninejad; Zhila Maghbooli; Khadijeh Mirzaei
Journal:  Eur J Nutr       Date:  2019-01-02       Impact factor: 5.614

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.  Glycemia determines the effect of type 2 diabetes risk genes on insulin secretion.

Authors:  Martin Heni; Caroline Ketterer; Claus Thamer; Silke A Herzberg-Schäfer; Martina Guthoff; Norbert Stefan; Fausto Machicao; Harald Staiger; Andreas Fritsche; Hans-Ulrich Häring
Journal:  Diabetes       Date:  2010-08-29       Impact factor: 9.461

10.  INSIG2 variants, dietary patterns and metabolic risk in Samoa.

Authors:  A Baylin; R Deka; J Tuitele; S Viali; D E Weeks; S T McGarvey
Journal:  Eur J Clin Nutr       Date:  2012-09-12       Impact factor: 4.016

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