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      Genome-wide association studies suggest sex-specific loci associated with abdominal and visceral fat

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          Abstract

          Background

          To identify loci associated with abdominal fat and replicate prior findings, we performed genome-wide association (GWA) studies of abdominal fat traits: subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), total adipose tissue (TAT) and visceral to subcutaneous adipose tissue ratio (VSR).

          Subjects and Methods

          Sex-combined and sex-stratified analyses were performed on each trait with (TRAIT-BMI) or without (TRAIT) adjustment for BMI, and cohort-specific results were combined via a fixed effects meta-analysis. A total of 2,513 subjects of European descent were available for the discovery phase. For replication, 2,171 European Americans and 772 African Americans were available.

          Results

          A total of 52 SNPs encompassing 7 loci showed suggestive evidence of association (p < 1.0 × 10 −6) with abdominal fat in the sex-combined analyses. The strongest evidence was found on chromosome 7p14.3 between a SNP near BBS9 gene and VAT (rs12374818; p= 1.10 × 10 −7), an association that was replicated (p = 0.02). For the BMI-adjusted trait, the strongest evidence of association was found between a SNP near CYCSP30 and VAT-BMI (rs10506943; p= 2.42 × 10 −7). Our sex-specific analyses identified one genome-wide significant (p < 5.0 × 10 −8) locus for SAT in women with 11 SNPs encompassing the MLLT10, DNAJC1 and EBLN1 genes on chromosome 10p12.31 (p = 3.97 × 10 −8 to 1.13 × 10 −8). The THNSL2 gene previously associated with VAT in women was also replicated (p= 0.006). The six gene/loci showing the strongest evidence of association with VAT or VAT-BMI were interrogated for their functional links with obesity and inflammation using the Biograph knowledge-mining software. Genes showing the closest functional links with obesity and inflammation were ADCY8 and KCNK9, respectively.

          Conclusions

          Our results provide evidence for new loci influencing abdominal visceral (BBS9, ADCY8, KCNK9) and subcutaneous (MLLT10/DNAJC1/EBLN1) fat, and confirmed a locus (THNSL2) previously reported to be associated with abdominal fat in women.

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          Most cited references76

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          Relation of body fat distribution to metabolic complications of obesity.

          The importance of body fat distribution as a predictor of metabolic aberrations was evaluated in 9 nonobese and 25 obese, apparently healthy women. Plasma glucose and insulin levels during oral glucose loading were significantly higher in women with predominantly upper body segment obesity than in women with lower body segment obesity. Of the former group, 10 of 16 subjects had diabetic glucose tolerance results, while none of the latter group was diabetic. Fasting plasma triglyceride levels were also significantly higher in the upper body segment obese women. The site of adiposity in the upper body segment obese women was comprised of large fat cells, while in the lower body segment obese subjects, it was formed of normal size cells. In both types of obesity, abdominal fat cell size correlated significantly with postprandial plasma glucose and insulin levels. Thigh fat cell size gave no indication as to the presence of metabolic complications. Thigh adipocytes were also resistant to epinephrine-stimulated lipolysis, presumably due to an increase in alpha-adrenergic receptors. Thus, in women, the sites of fat predominance offer an important prognostic marker for glucose intolerance, hyperinsulinemia, and hypertriglyceridemia. This association may be related to the disparate morphology and metabolic behavior of fat cells associated with different body fat distributions.
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            Prioritizing GWAS results: A review of statistical methods and recommendations for their application.

            Genome-wide association studies (GWAS) have rapidly become a standard method for disease gene discovery. A substantial number of recent GWAS indicate that for most disorders, only a few common variants are implicated and the associated SNPs explain only a small fraction of the genetic risk. This review is written from the viewpoint that findings from the GWAS provide preliminary genetic information that is available for additional analysis by statistical procedures that accumulate evidence, and that these secondary analyses are very likely to provide valuable information that will help prioritize the strongest constellations of results. We review and discuss three analytic methods to combine preliminary GWAS statistics to identify genes, alleles, and pathways for deeper investigations. Meta-analysis seeks to pool information from multiple GWAS to increase the chances of finding true positives among the false positives and provides a way to combine associations across GWAS, even when the original data are unavailable. Testing for epistasis within a single GWAS study can identify the stronger results that are revealed when genes interact. Pathway analysis of GWAS results is used to prioritize genes and pathways within a biological context. Following a GWAS, association results can be assigned to pathways and tested in aggregate with computational tools and pathway databases. Reviews of published methods with recommendations for their application are provided within the framework for each approach. 2010 The American Society of Human Genetics. Published by Elsevier Inc.
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              • Abstract: found
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              Adipocyte dysfunction, inflammation and metabolic syndrome.

              Obesity is frequently associated with chronic inflammation, metabolic and vascular alterations which predispose to the development of the Metabolic Syndrome (MetS). However, the individual obesity-related risk for the MetS is not determined by increased fat mass alone. Heterogeneity of body composition, fat distribution and adipose tissue (AT) function may underly the variable risk to develop metabolic and cardiovascular diseases associated with increased body fat mass. Importantly, an inability to increase AT mass by adipocyte hyperplasia may lead to adipocyte hypertrophy and could induce dysfunction of adipose tissue characterized by decreased insulin sensitivity, hypoxia, increased parameters of intracellular stress, increased autophagy and apoptosis and tissue inflammation. As a result, adipocytes and other AT cells release signals (e.g. adipokines, cells, metabolites) resulting in a proinflammatory, diabetogenic and atherogenic serum profile. These adverse signals may contribute to further AT inflammation and secondary organ damage in target tissues such as liver, brain, endothelium, vasculature, endocrine organs and skeletal muscle. Recently, a specific adipocyte volume threshold has been shown to predict the risk for obesity-associated type 2 diabetes. Most likely, impaired adipocyte function is caused by genetic, behavioural and environmental factors which are not entirely understood. Elucidating the mechanisms of adipocyte dysfunction may lead to the identification of novel treatment targets for obesity and the MetS.
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                Author and article information

                Journal
                101256108
                32579
                Int J Obes (Lond)
                Int J Obes (Lond)
                International journal of obesity (2005)
                0307-0565
                1476-5497
                13 October 2015
                20 October 2015
                April 2016
                18 May 2016
                : 40
                : 4
                : 662-674
                Affiliations
                [1 ]Division of Biostatistics, Washington University School of Medicine, St-Louis, MO
                [2 ]Department of Kinesiology, School of Medicine and Institute of Nutrition and Functional Foods, Laval University, Québec, QC
                [3 ]Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
                [4 ]Center for Human Genetics, University of Texas Health Science Center, Houston, TX
                [5 ]Division of Research, Kaiser Permanente Northern California, Oakland, CA
                [6 ]Department of Radiology, School of Medicine, Vanderbilt University, Nahsville, TN
                [7 ]Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
                [8 ]South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, TX
                [9 ]Cardiovascular and Metabolic Disorders Program and Center for Computational Biology, Duke-NUS Graduate Medical School, Singapore
                [10 ]Centre de recherché de l’Institut universitaire de cardiologie et de pneumologie de Québec, Québec, QC
                Author notes
                Address for correspondence : Claude Bouchard, PhD, Human Genomics Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808-4124, Tel: (225) 763-2543, bouchac@ 123456pbrc.edu
                [*]

                These authors contributed equally to this work.

                Article
                NIHMS729351
                10.1038/ijo.2015.217
                4821694
                26480920
                80cada49-1283-4659-9d81-1f417ef3e15b

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                Nutrition & Dietetics
                Nutrition & Dietetics

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