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      Admixture Mapping of 15,280 African Americans Identifies Obesity Susceptibility Loci on Chromosomes 5 and X

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      1 , 2 , 3 , * , 1 , 4 , * , 5 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 1 , 4 , 1 , 4 , 16 , 17 , 18 , 1 , 18 , 19 , 18 , 20 , 21 , 21 , 22 , 23 , 22 , 24 , 5 , 25 , 26 , 27 , 15 , 8 , 28 , 29 , 30 , 31 , 31 , 32 , 7 , 33 , 7 , 34 , 5 , 35 , 36 , 37 , 38 , 39 , 31 , 7 , 38 , 40 , 5 , 6 , *
      PLoS Genetics
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          Abstract

          The prevalence of obesity (body mass index (BMI) ≥30 kg/m 2) is higher in African Americans than in European Americans, even after adjustment for socioeconomic factors, suggesting that genetic factors may explain some of the difference. To identify genetic loci influencing BMI, we carried out a pooled analysis of genome-wide admixture mapping scans in 15,280 African Americans from 14 epidemiologic studies. Samples were genotyped at a median of 1,411 ancestry-informative markers. After adjusting for age, sex, and study, BMI was analyzed both as a dichotomized (top 20% versus bottom 20%) and a continuous trait. We found that a higher percentage of European ancestry was significantly correlated with lower BMI (ρ = −0.042, P = 1.6×10 −7). In the dichotomized analysis, we detected two loci on chromosome X as associated with increased African ancestry: the first at Xq25 (locus-specific LOD = 5.94; genome-wide score = 3.22; case-control Z = −3.94); and the second at Xq13.1 (locus-specific LOD = 2.22; case-control Z = −4.62). Quantitative analysis identified a third locus at 5q13.3 where higher BMI was highly significantly associated with greater European ancestry (locus-specific LOD = 6.27; genome-wide score = 3.46). Further mapping studies with dense sets of markers will be necessary to identify the alleles in these regions of chromosomes X and 5 that may be associated with variation in BMI.

          Author Summary

          Obesity is about 1.5-fold more prevalent in African Americans than European Americans. To determine whether genetic background may contribute to this observed disparity, we scanned the genomes of African Americans, searching for genomic regions where obese individuals have a difference from the average proportion of African ancestry. By examining genetic data from more than 15,000 African Americans, we show that the proportion of European ancestry is inversely correlated with BMI. In obese individuals, we detect two loci with increased African ancestry on chromosome X (Xq13.1 and Xq25) and one locus with increased European ancestry on chromosome 5 (5q13.3). The 5q13.3 and Xq25 regions both contain genes that are known to be involved in appetite regulation. Our results suggest that genetic factors may contribute to the difference in obesity prevalence between African Americans and European Americans. Further studies of the regions may identify the causative variants affecting susceptibility to obesity.

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          Most cited references40

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          The obesity epidemic in the United States--gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis.

          This review of the obesity epidemic provides a comprehensive description of the current situation, time trends, and disparities across gender, age, socioeconomic status, racial/ethnic groups, and geographic regions in the United States based on national data. The authors searched studies published between 1990 and 2006. Adult overweight and obesity were defined by using body mass index (weight (kg)/height (m)(2)) cutpoints of 25 and 30, respectively; childhood "at risk for overweight" and overweight were defined as the 85th and 95th percentiles of body mass index. Average annual increase in and future projections for prevalence were estimated by using linear regression models. Among adults, obesity prevalence increased from 13% to 32% between the 1960s and 2004. Currently, 66% of adults are overweight or obese; 16% of children and adolescents are overweight and 34% are at risk of overweight. Minority and low-socioeconomic-status groups are disproportionately affected at all ages. Annual increases in prevalence ranged from 0.3 to 0.9 percentage points across groups. By 2015, 75% of adults will be overweight or obese, and 41% will be obese. In conclusion, obesity has increased at an alarming rate in the United States over the past three decades. The associations of obesity with gender, age, ethnicity, and socioeconomic status are complex and dynamic. Related population-based programs and policies are needed.
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            Diabetes mellitus: a "thrifty" genotype rendered detrimental by "progress"?

            J V Neel (1962)
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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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                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
                May 2009
                May 2009
                22 May 2009
                : 5
                : 5
                : e1000490
                Affiliations
                [1 ]Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America
                [2 ]Department of Ophthalmology, National Yang Ming University School of Medicine, Taipei, Taiwan
                [3 ]Taipei Veterans General Hospital, Taipei, Taiwan
                [4 ]Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, United States of America
                [5 ]Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
                [6 ]Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
                [7 ]Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
                [8 ]Laboratory of Epidemiology, Demography and Biometry, National Institute on Aging, Bethesda, Maryland, United States of America
                [9 ]Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
                [10 ]McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
                [11 ]Donald W. Reynolds Cardiovascular Clinical Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
                [12 ]Northern California Cancer Center, Fremont, California, United States of America
                [13 ]Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California, United States of America
                [14 ]Stanford Cancer Center, Stanford, California, United States of America
                [15 ]Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York, United States of America
                [16 ]Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
                [17 ]Department of Pediatrics, Johns Hopkins University, Baltimore, Maryland, United States of America
                [18 ]Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
                [19 ]Department of Health Policy and Management, Johns Hopkins University, Baltimore, Maryland, United States of America
                [20 ]Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland, United States of America
                [21 ]Department of Medicine, University of California San Francisco, San Francisco, California, United States of America
                [22 ]Institute for Human Genetics, University of California San Francisco, San Francisco, California, United States of America
                [23 ]Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, United States of America
                [24 ]Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, United States of America
                [25 ]Department of Medical Oncology, Dana–Farber Cancer Institute, Boston, Massachusetts, United States of America
                [26 ]Department of Oncological Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
                [27 ]The Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, New Jersey, United States of America
                [28 ]Molecular Genetics Section, Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, United States of America
                [29 ]Jackson Heart Study Analysis Group, Jackson State University, Jackson, Mississippi, United States of America
                [30 ]Oregon Clinical and Translational Research Institute, Oregon Health and Science University, Portland, Oregon, United States of America
                [31 ]Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
                [32 ]Department of Preventive Medicine, Division of Biostatistics and Epidemiology, University of Tennessee, Memphis, Tennessee, United States of America
                [33 ]Department of Nutrition, University of Oslo, Oslo, Norway
                [34 ]Department of Cancer Etiology, Division of Population Science, City of Hope National Medical Center, Duarte, California, United States of America
                [35 ]Genomics Collaborative, Cambridge, Massachusetts, United States of America
                [36 ]Jackson State University, Jackson, Mississippi, United States of America
                [37 ]Tougaloo College, Tougaloo, Mississippi, United States of America
                [38 ]University of Mississippi Medical Center, Jackson, Mississippi, United States of America
                [39 ]Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
                [40 ]G. V. (Sonny) Montgomery Veterans Affairs Medical Center, Jackson, Mississippi, United States of America
                University of Oxford, United Kingdom
                Author notes

                Conceived and designed the experiments: CYC WHLK CAH TBH CX EMJ CBA GU LB KA JMZ BEH JGW DR. Performed the experiments: WHLK AT CAH TBH CX LF EB JMZ BEH JGW DR. Analyzed the data: CYC WHLK NP AT DR. Contributed reagents/materials/analysis tools: WHLK NP AT CAH TBH CX EMJ CBA FLB JC MFP RSP MJK LAM WCH LF LP MLF LHJ EVB GLC MAN ELA ESO TSL IM RL GU LB KA HAT EB JMZ BEH JGW DR. Wrote the paper: CYC WHLK NP DR.

                Article
                08-PLGE-RA-1447R3
                10.1371/journal.pgen.1000490
                2679192
                19461885
                fde12ab1-2515-4fc1-b797-cc79ac329b9a
                This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
                History
                : 4 November 2008
                : 22 April 2009
                Page count
                Pages: 10
                Categories
                Research Article
                Diabetes and Endocrinology/Obesity
                Genetics and Genomics/Complex Traits
                Genetics and Genomics/Population Genetics
                Public Health and Epidemiology/Epidemiology

                Genetics
                Genetics

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