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      Current review of genetics of human obesity: from molecular mechanisms to an evolutionary perspective

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          Abstract

          It is well-known that obesity is a complex multifactorial and heterogeneous condition with an important genetic component. Recently, major advances in obesity research emerged concerning the molecular mechanisms contributing to the obese condition. This review outlines several studies and data concerning the genetics and other important factors in the susceptibility risk to develop obesity. Based in the genetic etiology three main categories of obesity are considered: monogenic, syndromic, and common obesity. For the monogenic forms of obesity, the gene causing the phenotype is clearly identified, whereas for the common obesity the loci architecture underlying the phenotype is still being characterized. Given that, in this review we focus mainly in this obesity form, reviewing loci found until now by genome-wide association studies related with the susceptibility risk to develop obesity. Moreover, we also detail the obesity-related loci identified in children and in different ethnic groups, trying to highlight the complexity of the genetics underlying the common obese phenotype. Importantly, we also focus in the evolutionary hypotheses that have been proposed trying to explain how natural selection favored the spread of genes that increase the risk for an obese phenotype and how this predisposition to obesity evolved. Other factors are important in the obesity condition, and thus, we also discuss the epigenetic mechanisms involved in the susceptibility and development of obesity. Covering all these topics we expect to provide a complete and recent perspective about the underlying mechanisms involved in the development and origin of obesity. Only with a full understanding of the factors and mechanisms contributing to obesity, it will be possible to provide and allow the development of new therapeutic approaches to this condition.

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          Most cited references142

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          Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013.

          In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. Bill & Melinda Gates Foundation. Copyright © 2014 Elsevier Ltd. All rights reserved.
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            Six new loci associated with body mass index highlight a neuronal influence on body weight regulation.

            Common variants at only two loci, FTO and MC4R, have been reproducibly associated with body mass index (BMI) in humans. To identify additional loci, we conducted meta-analysis of 15 genome-wide association studies for BMI (n > 32,000) and followed up top signals in 14 additional cohorts (n > 59,000). We strongly confirm FTO and MC4R and identify six additional loci (P < 5 x 10(-8)): TMEM18, KCTD15, GNPDA2, SH2B1, MTCH2 and NEGR1 (where a 45-kb deletion polymorphism is a candidate causal variant). Several of the likely causal genes are highly expressed or known to act in the central nervous system (CNS), emphasizing, as in rare monogenic forms of obesity, the role of the CNS in predisposition to obesity.
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              Molecular signatures of natural selection.

              There is an increasing interest in detecting genes, or genomic regions, that have been targeted by natural selection. The interest stems from a basic desire to learn more about evolutionary processes in humans and other organisms, and from the realization that inferences regarding selection may provide important functional information. This review provides a nonmathematical description of the issues involved in detecting selection from DNA sequences and SNP data and is intended for readers who are not familiar with population genetic theory. Particular attention is placed on issues relating to the analysis of large-scale genomic data sets.
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                Author and article information

                Journal
                Molecular Genetics and Genomics
                Mol Genet Genomics
                Springer Science and Business Media LLC
                1617-4615
                1617-4623
                August 2015
                March 8 2015
                August 2015
                : 290
                : 4
                : 1191-1221
                Article
                10.1007/s00438-015-1015-9
                25749980
                54983b53-05f1-48fd-9812-6f462e360bcd
                © 2015

                http://www.springer.com/tdm

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