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      Genetic variants of gestational diabetes mellitus: a study of 112 SNPs among 8722 women in two independent populations

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          Abstract

          <div class="section"> <a class="named-anchor" id="S1"> <!-- named anchor --> </a> <h5 class="section-title" id="d8370646e291">Background</h5> <p id="P4">Gestational diabetes mellitus (GDM) is a common pregnancy complication which has substantial short- and long-term adverse health implications for women and their children. However, large-scale studies on genetic risk loci for GDM remain sparse. </p> </div><div class="section"> <a class="named-anchor" id="S2"> <!-- named anchor --> </a> <h5 class="section-title" id="d8370646e296">Methods</h5> <p id="P5">We conducted a case-control study among 2,636 GDM cases and 6,086 non GDM controls from the Nurses’ Health Study II (NHSII) and the Danish National Birth Cohort (DNBC). One hundred and twelve susceptibility genetic variants confirmed by <i>genome-wide</i> association studies for type 2 diabetes (T2D) were selected and measured. A weighted genetic risk score (GRS) was created based on variants that were significantly associated with risk of GDM after correcting for false discovery rate (FDR). </p> </div><div class="section"> <a class="named-anchor" id="S3"> <!-- named anchor --> </a> <h5 class="section-title" id="d8370646e304">Results</h5> <p id="P6">For the first time, we identified eight variants associated with GDM, namely rs7957197 ( <i>HNF1A</i>), rs10814916 ( <i>GLIS3</i>), rs3802177 ( <i>SLC30A8</i>), rs9379084 ( <i>RREB1</i>), rs34872471 ( <i>TCF7L2</i>), rs7903146 ( <i>TCF7L2</i>), rs11787792 ( <i>GPSM1</i>), and rs7041847 ( <i>GLIS3</i>). Additionally, we confirmed three variants, rs10830963 ( <i>MTNR1B</i>), rs1387153 ( <i>MTNR1B</i>), and rs4506565 ( <i>TCF7L2</i>), that were previously significantly associated with GDM risk. Furthermore, compared to participants in the first (lowest) quartile of weighted GRS based on these 11 SNPs, the odds ratios of GDM were 1.07 (95% CI: 0.93, 1.22), 1.23 (95% CI 1.07, 1.41), and 1.53 (95% CI 1.34, 1.74) in the second, third, and fourth (highest) quartile, respectively. The significant positive associations between the weighted GRS and risk of GDM persisted across most of the strata of major risk factors for GDM including family history of type 2 diabetes, smoking status, body mass index, and age. </p> </div><div class="section"> <a class="named-anchor" id="S4"> <!-- named anchor --> </a> <h5 class="section-title" id="d8370646e343">Conclusion</h5> <p id="P7">In this large-scale case-control study with women from two independent populations, eight novel GDM SNPs were identified, which offers potential to improve our understanding on GDM etiology, particularly biological mechanisms related to beta cell function. </p> </div>

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          • Record: found
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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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            A genome-wide association study identifies novel risk loci for type 2 diabetes.

            Type 2 diabetes mellitus results from the interaction of environmental factors with a combination of genetic variants, most of which were hitherto unknown. A systematic search for these variants was recently made possible by the development of high-density arrays that permit the genotyping of hundreds of thousands of polymorphisms. We tested 392,935 single-nucleotide polymorphisms in a French case-control cohort. Markers with the most significant difference in genotype frequencies between cases of type 2 diabetes and controls were fast-tracked for testing in a second cohort. This identified four loci containing variants that confer type 2 diabetes risk, in addition to confirming the known association with the TCF7L2 gene. These loci include a non-synonymous polymorphism in the zinc transporter SLC30A8, which is expressed exclusively in insulin-producing beta-cells, and two linkage disequilibrium blocks that contain genes potentially involved in beta-cell development or function (IDE-KIF11-HHEX and EXT2-ALX4). These associations explain a substantial portion of disease risk and constitute proof of principle for the genome-wide approach to the elucidation of complex genetic traits.
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              Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis.

              By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combined P<5x10(-8). These include a second independent signal at the KCNQ1 locus; the first report, to our knowledge, of an X-chromosomal association (near DUSP9); and a further instance of overlap between loci implicated in monogenic and multifactorial forms of diabetes (at HNF1A). The identified loci affect both beta-cell function and insulin action, and, overall, T2D association signals show evidence of enrichment for genes involved in cell cycle regulation. We also show that a high proportion of T2D susceptibility loci harbor independent association signals influencing apparently unrelated complex traits.
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                Author and article information

                Journal
                Diabetologia
                Diabetologia
                Springer Nature America, Inc
                0012-186X
                1432-0428
                August 2018
                June 12 2018
                August 2018
                : 61
                : 8
                : 1758-1768
                Article
                10.1007/s00125-018-4637-8
                6701842
                29947923
                776157f6-c4e1-44e8-a73f-e42588400fdf
                © 2018

                http://www.springer.com/tdm

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