Literature DB >> 16987875

Genetics of obesity and the prediction of risk for health.

Andrew J Walley1, Alexandra I F Blakemore, Philippe Froguel.   

Abstract

Obesity has always existed in human populations, but until very recently was comparatively rare. The availability of abundant, energy-rich processed foods in the last few decades has, however, resulted in a sharp rise in the prevalence of obesity in westernized countries. Although it is the obesogenic environment that has resulted in this major healthcare problem, it is acting by revealing a sub-population with a pre-existing genetic predisposition to excess adiposity. There is substantial evidence for the heritability of obesity, and research in both rare and common forms of obesity has identified genes with significant roles in its aetiology. Application of this understanding to patient care has been slower. Until very recently, the health risks of obesity were thought to be well understood, with a straightforward correlation between increasing obesity and increasing risk of health problems such as type 2 diabetes, coronary heart disease, hypertension, arthritis and cancer. It is becoming clear, however, that the location of fat deposition, variation in the secretion of adipokines and other factors govern whether a particular obese person develops such complications. Prediction of the health risks of obesity for individual patients is not straightforward, but continuing advances in understanding of genetic factors influencing obesity risk and improved diagnostic technologies mean that the future for such prediction is looking increasingly bright.

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Year:  2006        PMID: 16987875     DOI: 10.1093/hmg/ddl215

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  46 in total

1.  Triacylglycerol metabolism in adipose tissue.

Authors:  Maryam Ahmadian; Robin E Duncan; Kathy Jaworski; Eszter Sarkadi-Nagy; Hei Sook Sul
Journal:  Future Lipidol       Date:  2007-04

Review 2.  Minireview: the SRC family of coactivators: an entrée to understanding a subset of polygenic diseases?

Authors:  David M Lonard; Rakesh Kumar; Bert W O'Malley
Journal:  Mol Endocrinol       Date:  2009-10-21

Review 3.  Genetic Testing for Obesity: Implications and Challenges.

Authors:  Mary Segal
Journal:  Curr Obes Rep       Date:  2017-03

Review 4.  Anti-obesogenic and antidiabetic effects of plants and mushrooms.

Authors:  Jan Martel; David M Ojcius; Chih-Jung Chang; Chuan-Sheng Lin; Chia-Chen Lu; Yun-Fei Ko; Shun-Fu Tseng; Hsin-Chih Lai; John D Young
Journal:  Nat Rev Endocrinol       Date:  2016-09-16       Impact factor: 43.330

5.  An experiment assessing effects of personalized feedback about genetic susceptibility to obesity on attitudes towards diet and exercise.

Authors:  Woo-Kyoung Ahn; Matthew S Lebowitz
Journal:  Appetite       Date:  2017-08-31       Impact factor: 3.868

6.  Food preferences and YFAS/YFAS-C scores in schoolchildren and university students.

Authors:  Mikhail F Borisenkov; Tatyana A Tserne; Sergey V Popov; Larisa A Bakutova; Anna A Pecherkina; Olga I Dorogina; Ekaterina A Martinson; Valentina I Vetosheva; Denis G Gubin; Svetlana V Solovieva; Elena F Turovinina; Elvira E Symaniuk
Journal:  Eat Weight Disord       Date:  2021-01-03       Impact factor: 4.652

Review 7.  Human Genome Sequencing at the Population Scale: A Primer on High-Throughput DNA Sequencing and Analysis.

Authors:  Rachel L Goldfeder; Dennis P Wall; Muin J Khoury; John P A Ioannidis; Euan A Ashley
Journal:  Am J Epidemiol       Date:  2017-10-15       Impact factor: 4.897

8.  The Population Health Benefits Of A Healthy Lifestyle: Life Expectancy Increased And Onset Of Disability Delayed.

Authors:  Neil Mehta; Mikko Myrskylä
Journal:  Health Aff (Millwood)       Date:  2017-07-19       Impact factor: 6.301

9.  Type 2 diabetes mellitus: a review of current trends.

Authors:  Abdulfatai B Olokoba; Olusegun A Obateru; Lateefat B Olokoba
Journal:  Oman Med J       Date:  2012-07

10.  Association of variants in the fat mass and obesity associated (FTO) gene with polycystic ovary syndrome.

Authors:  T M Barber; A J Bennett; C J Groves; U Sovio; A Ruokonen; H Martikainen; A Pouta; A-L Hartikainen; P Elliott; C M Lindgren; R M Freathy; K Koch; W H Ouwehand; F Karpe; G S Conway; J A H Wass; M-R Järvelin; S Franks; M I McCarthy
Journal:  Diabetologia       Date:  2008-05-14       Impact factor: 10.122

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