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      Two New Loci for Body-Weight Regulation Identified in a Joint Analysis of Genome-Wide Association Studies for Early-Onset Extreme Obesity in French and German Study Groups

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      PLoS Genetics
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          Abstract

          Meta-analyses of population-based genome-wide association studies (GWAS) in adults have recently led to the detection of new genetic loci for obesity. Here we aimed to discover additional obesity loci in extremely obese children and adolescents. We also investigated if these results generalize by estimating the effects of these obesity loci in adults and in population-based samples including both children and adults. We jointly analysed two GWAS of 2,258 individuals and followed-up the best, according to lowest p-values, 44 single nucleotide polymorphisms (SNP) from 21 genomic regions in 3,141 individuals. After this DISCOVERY step, we explored if the findings derived from the extremely obese children and adolescents (10 SNPs from 5 genomic regions) generalized to (i) the population level and (ii) to adults by genotyping another 31,182 individuals (GENERALIZATION step). Apart from previously identified FTO, MC4R, and TMEM18, we detected two new loci for obesity: one in SDCCAG8 (serologically defined colon cancer antigen 8 gene; p = 1.85×10 −8 in the DISCOVERY step) and one between TNKS (tankyrase, TRF1-interacting ankyrin-related ADP-ribose polymerase gene) and MSRA (methionine sulfoxide reductase A gene; p = 4.84×10 −7), the latter finding being limited to children and adolescents as demonstrated in the GENERALIZATION step. The odds ratios for early-onset obesity were estimated at ∼1.10 per risk allele for both loci. Interestingly, the TNKS/MSRA locus has recently been found to be associated with adult waist circumference. In summary, we have completed a meta-analysis of two GWAS which both focus on extremely obese children and adolescents and replicated our findings in a large followed-up data set. We observed that genetic variants in or near FTO, MC4R, TMEM18, SDCCAG8, and TNKS/ MSRA were robustly associated with early-onset obesity. We conclude that the currently known major common variants related to obesity overlap to a substantial degree between children and adults.

          Author Summary

          Genome-wide association studies (GWAS) have successfully contributed to the detection of genetic variants involved in body-weight regulation. We jointly analysed two GWAS for early-onset extreme obesity in 2,258 individuals of European origin and followed-up the findings in 3,141 individuals. Evidence for association of markers in two new genetic loci was shown ( SDCCAG8 on chromosome 1q43–q44 and between TNKS/MSRA on chromosome 8p23.1). We also re-identified variants in or near FTO, MC4R, and TMEM18 to be associated with extreme obesity. In addition, we assessed the effect of the markers in 31,182 obese, lean, normal weight, and unselected individuals from population-based samples and showed that the variants near FTO, MC4R, TMEM18, and SDCCAG8 were consistently associated with obesity. For variants of TNKS/MSRA, the obesity association was limited to children and adolescents. In summary, we detected two new obesity loci and confirmed that the currently known major common variants related to obesity overlap to a substantial degree between children and adults.

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          Most cited references24

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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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            The human obesity gene map: the 2005 update.

            This paper presents the 12th update of the human obesity gene map, which incorporates published results up to the end of October 2005. Evidence from single-gene mutation obesity cases, Mendelian disorders exhibiting obesity as a clinical feature, transgenic and knockout murine models relevant to obesity, quantitative trait loci (QTL) from animal cross-breeding experiments, association studies with candidate genes, and linkages from genome scans is reviewed. As of October 2005, 176 human obesity cases due to single-gene mutations in 11 different genes have been reported, 50 loci related to Mendelian syndromes relevant to human obesity have been mapped to a genomic region, and causal genes or strong candidates have been identified for most of these syndromes. There are 244 genes that, when mutated or expressed as transgenes in the mouse, result in phenotypes that affect body weight and adiposity. The number of QTLs reported from animal models currently reaches 408. The number of human obesity QTLs derived from genome scans continues to grow, and we now have 253 QTLs for obesity-related phenotypes from 61 genome-wide scans. A total of 52 genomic regions harbor QTLs supported by two or more studies. The number of studies reporting associations between DNA sequence variation in specific genes and obesity phenotypes has also increased considerably, with 426 findings of positive associations with 127 candidate genes. A promising observation is that 22 genes are each supported by at least five positive studies. The obesity gene map shows putative loci on all chromosomes except Y. The electronic version of the map with links to useful publications and relevant sites can be found at http://obesitygene.pbrc.edu.
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              Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations.

              We analyzed genome-wide association data from 1,380 Europeans with early-onset and morbid adult obesity and 1,416 age-matched normal-weight controls. Thirty-eight markers showing strong association were further evaluated in 14,186 European subjects. In addition to FTO and MC4R, we detected significant association of obesity with three new risk loci in NPC1 (endosomal/lysosomal Niemann-Pick C1 gene, P = 2.9 x 10(-7)), near MAF (encoding the transcription factor c-MAF, P = 3.8 x 10(-13)) and near PTER (phosphotriesterase-related gene, P = 2.1 x 10(-7)).
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                April 2010
                April 2010
                22 April 2010
                : 6
                : 4
                : e1000916
                Affiliations
                [1 ]Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
                [2 ]Department of Child and Adolescent Psychiatry, University of Duisburg-Essen, Essen, Germany
                [3 ]Centre National de la Recherche Scientifique (CNRS) 8090-Institute of Biology, Pasteur Institute, Lille, France
                [4 ]Department of Psychiatry, University of Cincinnati Genome Research Institute, Cincinnati, Ohio, United States of America
                [5 ]Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Munich-Neuherberg, Germany
                [6 ]Institute of Medical Data Management, Biometrics, and Epidemiology, Ludwig-Maximilians University Munich, Munich, Germany
                [7 ]INSERM, CESP Centre for Research in Epidemiology and Population Health, U1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease over the Lifecourse, Université Paris Sud 11, UMRS 1018, Villejuif, France
                [8 ]Department of Epidemiology and Public Health, Imperial College London, London, United Kingdom
                [9 ]Institute of Health Sciences, Department of Child and Adolescent Health, National Public Health Institute, Biocenter Oulu, University of Oulu, Oulu, Finland
                [10 ]Department of Clinical Sciences/Obstetrics and Gynecology, University of Oulu, Oulu, Finland
                [11 ]INSERM, U690, Université Paris Diderot, Paris, France
                [12 ]Pediatric Endocrine Unit, Jeanne de Flandre Hospital, Lille, France
                [13 ]University Hospital for Children and Adolescents, University of Leipzig, Leipzig, Germany
                [14 ]Department of Internal Medicine III, Interdisciplinary Centre for Clinical Research, University of Leipzig, Leipzig, Germany
                [15 ]Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, United Kingdom
                [16 ]The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
                [17 ]Institute of Medical Biometry and Epidemiology, Philipps-University of Marburg, Marburg, Germany
                [18 ]Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
                [19 ]Institute for Paediatric Nutrition Medicine, Vestische Hospital for Children and Adolescents, University of Witten/Herdecke, Datteln, Germany
                [20 ]Department of Paediatrics, Marien-Hospital Wesel, Wesel, Germany
                [21 ]Children's Hospital, Municipal Hospital “St Georg”, Leipzig, Germany
                [22 ]Department of Pediatrics, University of Leipzig, Leipzig, Germany
                [23 ]Institute of Experimental Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, Berlin, Germany
                [24 ]Institute for Pharmacology, Ernst-Moritz-Arndt University, Greifswald, Germany
                [25 ]Department of Clinical Psychology and Psychotherapy, Faculty of Psychology, University of Marburg, Germany
                [26 ]Molecular Nutritional Medicine, Technische Universität München, Else Kröner-Fresenius Center, Freising-Weihenstephan, Germany
                [27 ]Department of Pharmacology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
                [28 ]Institute of Human Genetics, University of Bonn, Bonn, Germany
                [29 ]Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
                [30 ]Department of Cardiology, University of Duisburg-Essen, Essen, Germany
                [31 ]Department of Genomic Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom
                University of Geneva Medical School, Switzerland
                Author notes

                Writing team: A. Scherag, A. Hinney, J. Hebebrand, C. Dina, D. Meyre, P. Froguel; all others reviewed and approved the manuscript. Project management: A. Scherag, A. Hinney, J. Hebebrand, C. Dina, D. Meyre, P. Froguel. Genome-wide association sampling, genotyping and imputations: A. Scherag, A. Hinney, J. Hebebrand, C. Dina, V. Vatin, D. Meyre, P. Froguel, S. Scherag, C. I. G. Vogel, T. D. Müller, I. Prokopenko, M. I. McCarthy. Confirmation study sampling, genotyping and follow-up analyses: A. Scherag, C. Dina, A. Hinney, V. Vatin, S. Scherag, C. I. G. Vogel, T.D. Müller, H. Grallert, H.-E. Wichmann, B. Balkau, B. Heude, M.-R. Jarvelin, A.-L. Hartikainen, C. Levy-Marchal, J. Weill, J. Delplanque, A. Körner, W. Kiess, P. Kovacs, H. Boeing, T. Reinehr, J. Heinrich, P. Rzehak, D. Berdel, M. Borte, H. Biebermann, H. Krude, D. Rosskopf, C. Rimmbach, W. Rief, T. Fromme, M. Klingenspor, A. Schürmann, N. Schulz, M. M. Nöthen, T. W. Mühleisen, R. Erbel, K.-H. Jöckel, S. Moebus, T. Illig. Statistical analysis and informatics: A. Scherag, C. Dina, N. W. Rayner, H. Schäfer, I. Jarick, E. Fisher, T. Boes. Candidate gene analysis: A. Scherag.

                Article
                09-PLGE-RA-1664R3
                10.1371/journal.pgen.1000916
                2858696
                20421936
                85de05fb-0599-44d2-a571-f0a36e57e21b
                Scherag et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 18 September 2009
                : 19 March 2010
                Page count
                Pages: 10
                Categories
                Research Article
                Genetics and Genomics/Complex Traits
                Genetics and Genomics/Genetics of Disease
                Genetics and Genomics/Medical Genetics

                Genetics
                Genetics

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