Contribution of 32 GWAS-identified common variants to severe obesity in European adults referred for bariatric surgery
The prevalence of severe obesity, defined as body mass index (BMI) ≥ 35.0 kg/m(2), is rising rapidly. Given the disproportionately high health burden and healthcare costs associated with this condition, understanding the underlying aetiology, including predisposing genetic factors, is a biomedical r...
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| Published in | PloS one Vol. 8; no. 8; p. e70735 |
|---|---|
| Main Authors | , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
07.08.2013
Public Library of Science (PLoS) |
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| Abstract | The prevalence of severe obesity, defined as body mass index (BMI) ≥ 35.0 kg/m(2), is rising rapidly. Given the disproportionately high health burden and healthcare costs associated with this condition, understanding the underlying aetiology, including predisposing genetic factors, is a biomedical research priority. Previous studies have suggested that severe obesity represents an extreme tail of the population BMI variation, reflecting shared genetic factors operating across the spectrum. Here, we sought to determine whether a panel of 32 known common obesity-susceptibility variants contribute to severe obesity in patients (n = 1,003, mean BMI 48.4 ± 8.1 kg/m(2)) attending bariatric surgery clinics in two European centres. We examined the effects of these 32 common variants on obesity risk and BMI, both as individual markers and in combination as a genetic risk score, in a comparison with normal-weight controls (n = 1,809, BMI 18.0-24.9 kg/m(2)); an approach which, to our knowledge, has not been previously undertaken in the setting of a bariatric clinic. We found strong associations with severe obesity for SNP rs9939609 within the FTO gene (P = 9.3 × 10(-8)) and SNP rs2815752 near the NEGR1 gene (P = 3.6 × 10(-4)), and directionally consistent nominal associations (P<0.05) for 12 other SNPs. The genetic risk score associated with severe obesity (P = 8.3 × 10(-11)) but, within the bariatric cohort, this score did not associate with BMI itself (P = 0.264). Our results show significant effects of individual BMI-associated common variants within a relatively small sample size of bariatric patients. Furthermore, the burden of such low-penetrant risk alleles contributes to severe obesity in this population. Our findings support that severe obesity observed in bariatric patients represents an extreme tail of the population BMI variation. Moreover, future genetic studies focused on bariatric patients may provide valuable insights into the pathogenesis of obesity at a population level. |
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| AbstractList | The prevalence of severe obesity, defined as body mass index (BMI) ≥ 35.0 kg/m(2), is rising rapidly. Given the disproportionately high health burden and healthcare costs associated with this condition, understanding the underlying aetiology, including predisposing genetic factors, is a biomedical research priority. Previous studies have suggested that severe obesity represents an extreme tail of the population BMI variation, reflecting shared genetic factors operating across the spectrum. Here, we sought to determine whether a panel of 32 known common obesity-susceptibility variants contribute to severe obesity in patients (n = 1,003, mean BMI 48.4 ± 8.1 kg/m(2)) attending bariatric surgery clinics in two European centres. We examined the effects of these 32 common variants on obesity risk and BMI, both as individual markers and in combination as a genetic risk score, in a comparison with normal-weight controls (n = 1,809, BMI 18.0-24.9 kg/m(2)); an approach which, to our knowledge, has not been previously undertaken in the setting of a bariatric clinic. We found strong associations with severe obesity for SNP rs9939609 within the FTO gene (P = 9.3 × 10(-8)) and SNP rs2815752 near the NEGR1 gene (P = 3.6 × 10(-4)), and directionally consistent nominal associations (P<0.05) for 12 other SNPs. The genetic risk score associated with severe obesity (P = 8.3 × 10(-11)) but, within the bariatric cohort, this score did not associate with BMI itself (P = 0.264). Our results show significant effects of individual BMI-associated common variants within a relatively small sample size of bariatric patients. Furthermore, the burden of such low-penetrant risk alleles contributes to severe obesity in this population. Our findings support that severe obesity observed in bariatric patients represents an extreme tail of the population BMI variation. Moreover, future genetic studies focused on bariatric patients may provide valuable insights into the pathogenesis of obesity at a population level. The prevalence of severe obesity, defined as body mass index (BMI) ≥ 35.0 kg/m(2), is rising rapidly. Given the disproportionately high health burden and healthcare costs associated with this condition, understanding the underlying aetiology, including predisposing genetic factors, is a biomedical research priority. Previous studies have suggested that severe obesity represents an extreme tail of the population BMI variation, reflecting shared genetic factors operating across the spectrum. Here, we sought to determine whether a panel of 32 known common obesity-susceptibility variants contribute to severe obesity in patients (n = 1,003, mean BMI 48.4 ± 8.1 kg/m(2)) attending bariatric surgery clinics in two European centres. We examined the effects of these 32 common variants on obesity risk and BMI, both as individual markers and in combination as a genetic risk score, in a comparison with normal-weight controls (n = 1,809, BMI 18.0-24.9 kg/m(2)); an approach which, to our knowledge, has not been previously undertaken in the setting of a bariatric clinic. We found strong associations with severe obesity for SNP rs9939609 within the FTO gene (P = 9.3 × 10(-8)) and SNP rs2815752 near the NEGR1 gene (P = 3.6 × 10(-4)), and directionally consistent nominal associations (P<0.05) for 12 other SNPs. The genetic risk score associated with severe obesity (P = 8.3 × 10(-11)) but, within the bariatric cohort, this score did not associate with BMI itself (P = 0.264). Our results show significant effects of individual BMI-associated common variants within a relatively small sample size of bariatric patients. Furthermore, the burden of such low-penetrant risk alleles contributes to severe obesity in this population. Our findings support that severe obesity observed in bariatric patients represents an extreme tail of the population BMI variation. Moreover, future genetic studies focused on bariatric patients may provide valuable insights into the pathogenesis of obesity at a population level.The prevalence of severe obesity, defined as body mass index (BMI) ≥ 35.0 kg/m(2), is rising rapidly. Given the disproportionately high health burden and healthcare costs associated with this condition, understanding the underlying aetiology, including predisposing genetic factors, is a biomedical research priority. Previous studies have suggested that severe obesity represents an extreme tail of the population BMI variation, reflecting shared genetic factors operating across the spectrum. Here, we sought to determine whether a panel of 32 known common obesity-susceptibility variants contribute to severe obesity in patients (n = 1,003, mean BMI 48.4 ± 8.1 kg/m(2)) attending bariatric surgery clinics in two European centres. We examined the effects of these 32 common variants on obesity risk and BMI, both as individual markers and in combination as a genetic risk score, in a comparison with normal-weight controls (n = 1,809, BMI 18.0-24.9 kg/m(2)); an approach which, to our knowledge, has not been previously undertaken in the setting of a bariatric clinic. We found strong associations with severe obesity for SNP rs9939609 within the FTO gene (P = 9.3 × 10(-8)) and SNP rs2815752 near the NEGR1 gene (P = 3.6 × 10(-4)), and directionally consistent nominal associations (P<0.05) for 12 other SNPs. The genetic risk score associated with severe obesity (P = 8.3 × 10(-11)) but, within the bariatric cohort, this score did not associate with BMI itself (P = 0.264). Our results show significant effects of individual BMI-associated common variants within a relatively small sample size of bariatric patients. Furthermore, the burden of such low-penetrant risk alleles contributes to severe obesity in this population. Our findings support that severe obesity observed in bariatric patients represents an extreme tail of the population BMI variation. Moreover, future genetic studies focused on bariatric patients may provide valuable insights into the pathogenesis of obesity at a population level. The prevalence of severe obesity, defined as body mass index (BMI) [greater than or equal to]35.0 kg/m.sup.2, is rising rapidly. Given the disproportionately high health burden and healthcare costs associated with this condition, understanding the underlying aetiology, including predisposing genetic factors, is a biomedical research priority. Previous studies have suggested that severe obesity represents an extreme tail of the population BMI variation, reflecting shared genetic factors operating across the spectrum. Here, we sought to determine whether a panel of 32 known common obesity-susceptibility variants contribute to severe obesity in patients (n = 1,003, mean BMI 48.4±8.1 kg/m.sup.2) attending bariatric surgery clinics in two European centres. We examined the effects of these 32 common variants on obesity risk and BMI, both as individual markers and in combination as a genetic risk score, in a comparison with normal-weight controls (n = 1,809, BMI 18.0-24.9 kg/m.sup.2 ); an approach which, to our knowledge, has not been previously undertaken in the setting of a bariatric clinic. We found strong associations with severe obesity for SNP rs9939609 within the FTO gene (P = 9.3x10.sup.-8) and SNP rs2815752 near the NEGR1 gene (P = 3.6x10.sup.-4 ), and directionally consistent nominal associations (P<0.05) for 12 other SNPs. The genetic risk score associated with severe obesity (P = 8.3x10.sup.-11) but, within the bariatric cohort, this score did not associate with BMI itself (P = 0.264). Our results show significant effects of individual BMI-associated common variants within a relatively small sample size of bariatric patients. Furthermore, the burden of such low-penetrant risk alleles contributes to severe obesity in this population. Our findings support that severe obesity observed in bariatric patients represents an extreme tail of the population BMI variation. Moreover, future genetic studies focused on bariatric patients may provide valuable insights into the pathogenesis of obesity at a population level. The prevalence of severe obesity, defined as body mass index (BMI) ≥35.0 kg/m 2 , is rising rapidly. Given the disproportionately high health burden and healthcare costs associated with this condition, understanding the underlying aetiology, including predisposing genetic factors, is a biomedical research priority. Previous studies have suggested that severe obesity represents an extreme tail of the population BMI variation, reflecting shared genetic factors operating across the spectrum. Here, we sought to determine whether a panel of 32 known common obesity-susceptibility variants contribute to severe obesity in patients (n = 1,003, mean BMI 48.4±8.1 kg/m 2 ) attending bariatric surgery clinics in two European centres. We examined the effects of these 32 common variants on obesity risk and BMI, both as individual markers and in combination as a genetic risk score, in a comparison with normal-weight controls (n = 1,809, BMI 18.0–24.9 kg/m 2 ); an approach which, to our knowledge, has not been previously undertaken in the setting of a bariatric clinic. We found strong associations with severe obesity for SNP rs9939609 within the FTO gene ( P = 9.3×10 −8 ) and SNP rs2815752 near the NEGR1 gene ( P = 3.6×10 −4 ), and directionally consistent nominal associations ( P <0.05) for 12 other SNPs. The genetic risk score associated with severe obesity ( P = 8.3×10 −11 ) but, within the bariatric cohort, this score did not associate with BMI itself ( P = 0.264). Our results show significant effects of individual BMI-associated common variants within a relatively small sample size of bariatric patients. Furthermore, the burden of such low-penetrant risk alleles contributes to severe obesity in this population. Our findings support that severe obesity observed in bariatric patients represents an extreme tail of the population BMI variation. Moreover, future genetic studies focused on bariatric patients may provide valuable insights into the pathogenesis of obesity at a population level. The prevalence of severe obesity, defined as body mass index (BMI) ≥35.0 kg/m2, is rising rapidly. Given the disproportionately high health burden and healthcare costs associated with this condition, understanding the underlying aetiology, including predisposing genetic factors, is a biomedical research priority. Previous studies have suggested that severe obesity represents an extreme tail of the population BMI variation, reflecting shared genetic factors operating across the spectrum. Here, we sought to determine whether a panel of 32 known common obesity-susceptibility variants contribute to severe obesity in patients (n = 1,003, mean BMI 48.4±8.1 kg/m2) attending bariatric surgery clinics in two European centres. We examined the effects of these 32 common variants on obesity risk and BMI, both as individual markers and in combination as a genetic risk score, in a comparison with normal-weight controls (n = 1,809, BMI 18.0–24.9 kg/m2); an approach which, to our knowledge, has not been previously undertaken in the setting of a bariatric clinic. We found strong associations with severe obesity for SNP rs9939609 within the FTO gene (P = 9.3×10−8) and SNP rs2815752 near the NEGR1 gene (P = 3.6×10−4), and directionally consistent nominal associations (P<0.05) for 12 other SNPs. The genetic risk score associated with severe obesity (P = 8.3×10−11) but, within the bariatric cohort, this score did not associate with BMI itself (P = 0.264). Our results show significant effects of individual BMI-associated common variants within a relatively small sample size of bariatric patients. Furthermore, the burden of such low-penetrant risk alleles contributes to severe obesity in this population. Our findings support that severe obesity observed in bariatric patients represents an extreme tail of the population BMI variation. Moreover, future genetic studies focused on bariatric patients may provide valuable insights into the pathogenesis of obesity at a population level. |
| Audience | Academic |
| Author | Pucci, Andrea Manning, Sean Mägi, Reedik McCarthy, Mark I Santini, Ferruccio Karra, Efthimia Lindgren, Cecilia M Batterham, Rachel L Querci, Giorgia Yousseif, Ahmed Pelosini, Caterina |
| AuthorAffiliation | 1 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom The Children’s Hospital of Philadelphia, United States of America 5 University College London Hospitals Centre for Weight loss, Metabolic and Endocrine Surgery, University College London Hospitals, London, United Kingdom 7 Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom 2 Estonian Genome Center, University of Tartu, Tartu, Estonia 4 University College London Hospitals/University College London National Institute of Health Research Biomedical Research Centre, London, United Kingdom 6 Obesity Center at the Endocrinology Unit, University Hospital of Pisa, Pisa, Italy 3 Centre for Obesity Research, Rayne Institute, Department of Medicine, University College London, London, United Kingdom 8 Oxford National Institute of Health Research Biomedical Research Centre, Churchill Hospital, Oxford, United Kingdom |
| AuthorAffiliation_xml | – name: 1 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom – name: 2 Estonian Genome Center, University of Tartu, Tartu, Estonia – name: The Children’s Hospital of Philadelphia, United States of America – name: 6 Obesity Center at the Endocrinology Unit, University Hospital of Pisa, Pisa, Italy – name: 7 Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom – name: 3 Centre for Obesity Research, Rayne Institute, Department of Medicine, University College London, London, United Kingdom – name: 8 Oxford National Institute of Health Research Biomedical Research Centre, Churchill Hospital, Oxford, United Kingdom – name: 4 University College London Hospitals/University College London National Institute of Health Research Biomedical Research Centre, London, United Kingdom – name: 5 University College London Hospitals Centre for Weight loss, Metabolic and Endocrine Surgery, University College London Hospitals, London, United Kingdom |
| Author_xml | – sequence: 1 givenname: Reedik surname: Mägi fullname: Mägi, Reedik organization: Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom – sequence: 2 givenname: Sean surname: Manning fullname: Manning, Sean – sequence: 3 givenname: Ahmed surname: Yousseif fullname: Yousseif, Ahmed – sequence: 4 givenname: Andrea surname: Pucci fullname: Pucci, Andrea – sequence: 5 givenname: Ferruccio surname: Santini fullname: Santini, Ferruccio – sequence: 6 givenname: Efthimia surname: Karra fullname: Karra, Efthimia – sequence: 7 givenname: Giorgia surname: Querci fullname: Querci, Giorgia – sequence: 8 givenname: Caterina surname: Pelosini fullname: Pelosini, Caterina – sequence: 9 givenname: Mark I surname: McCarthy fullname: McCarthy, Mark I – sequence: 10 givenname: Cecilia M surname: Lindgren fullname: Lindgren, Cecilia M – sequence: 11 givenname: Rachel L surname: Batterham fullname: Batterham, Rachel L |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23950990$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1086/519795 10.1371/journal.pone.0014040 10.1371/journal.pone.0008771 10.1038/oby.2011.237 10.1093/hmg/ddp292 10.1038/ng.686 10.1038/ng.301 10.1371/journal.pgen.1002142 10.1159/000332158 10.1001/jama.2012.39 10.1038/sj.ijo.0803784 10.1038/ng.823 10.1038/ng2088 10.1038/nature05911 10.1023/A:1025635913927 10.1371/journal.pgen.1000916 10.1038/ng2048 10.1038/ng.287 10.1016/S0140-6736(10)62037-5 10.1038/ng.2247 10.1002/oby.20319 10.1038/clpt.2012.149 10.1038/ijo.2012.159 10.1007/s11695-012-0864-0 10.1056/NEJMoa066254 10.1038/ijo.2013.30 10.1371/journal.pone.0041537 10.1371/journal.pone.0001361 10.1016/j.ygeno.2011.12.007 10.1038/oby.2008.240 10.1093/ajcn/88.4.971 10.1038/oby.2004.243 10.1038/nature06258 10.1038/ijo.2009.177 10.1371/journal.pone.0018939 10.1159/000321537 10.1038/ng.381 10.1111/j.1467-789X.2009.00689.x |
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| Copyright | COPYRIGHT 2013 Public Library of Science 2013 Mägi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2013 Mägi et al 2013 Mägi et al |
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| DOI | 10.1371/journal.pone.0070735 |
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| DocumentTitleAlternate | Genetics of Obesity in Bariatric Surgery Patients |
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| Editor | Grant, Struan Frederick Airth |
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| Issue | 8 |
| Language | English |
| License | 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 properly credited. Creative Commons Attribution License |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Competing Interests: The authors have declared that no competing interests exist. Conceived and designed the experiments: RLB CML MIM SM RM. Performed the experiments: SM AY AP EK GQ CP RM FS. Analyzed the data: RM CML MIM SM RLB. Contributed reagents/materials/analysis tools: RLB RM CML MIM. Wrote the paper: SM RLB RM CML MIM. Reviewed the manuscript: RM SM AY AP FS EK GQ CP MIM CML. Edited the manuscript: RM SM CML MIM RLB. Contributed to data acquisition: SM AY AP EK FS EK GQ CP. Contributed to study design: SM AY. |
| OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737377/ |
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| References | ref13 A Scherag (ref21) 2010; 6 JP Bradfield (ref14) 2012; 44 ref31 ref11 AW Drong (ref40) 2012; 92 ref32 K Wang (ref19) 2011; 6 ref2 FR Day (ref18) 2011; 4 JC Barrett (ref26) 2009; 41 AW Lee (ref39) 2012; 7 J Yang (ref41) 2011; 43 Consortium Wellcome Trust Case Control (ref27) 2007; 447 HH Maes (ref8) 1997; 27 J Marchini (ref30) 2007; 39 J Hebebrand (ref12) 2010; 3 C Cotsapas (ref16) 2009; 18 S Purcell (ref29) 2007; 81 CG Bell (ref37) 2010; 5 H Buchwald (ref24) 2013; 23 NJ Timpson (ref35) 2008; 88 ref42 (ref25) 2011; 7 M Neovius (ref4) 2008; 32 ref22 A Hinney (ref34) 2007; 2 AM Sharma (ref43) 2010; 11 MS Almen (ref38) 2012; 99 C Dina (ref33) 2007; 39 D Meyre (ref20) 2009; 41 YC Tung (ref36) 2010; 5 K Silventoinen (ref7) 2010; 34 J Zhao (ref15) 2011; 19 EK Speliotes (ref10) 2010; 42 L Sjostrom (ref23) 2007; 357 ref3 MM Finucane (ref1) 2011; 377 CJ Willer (ref9) 2009; 41 KM Flegal (ref5) 2012; 307 CM Haworth (ref17) 2008; 16 T Andreyeva (ref6) 2004; 12 KA Frazer (ref28) 2007; 449 |
| References_xml | – volume: 81 start-page: 559 year: 2007 ident: ref29 article-title: PLINK: a tool set for whole-genome association and population-based linkage analyses publication-title: Am J Hum Genet doi: 10.1086/519795 contributor: fullname: S Purcell – volume: 5 start-page: e14040 year: 2010 ident: ref37 article-title: Integrated genetic and epigenetic analysis identifies haplotype-specific methylation in the FTO type 2 diabetes and obesity susceptibility locus publication-title: PLoS One doi: 10.1371/journal.pone.0014040 contributor: fullname: CG Bell – volume: 5 start-page: e8771 year: 2010 ident: ref36 article-title: Hypothalamic-specific manipulation of Fto, the ortholog of the human obesity gene FTO, affects food intake in rats publication-title: PLoS One doi: 10.1371/journal.pone.0008771 contributor: fullname: YC Tung – volume: 19 start-page: 2436 year: 2011 ident: ref15 article-title: Role of BMI-associated loci identified in GWAS meta-analyses in the context of common childhood obesity in European Americans publication-title: Obesity (Silver Spring) doi: 10.1038/oby.2011.237 contributor: fullname: J Zhao – volume: 18 start-page: 3502 year: 2009 ident: ref16 article-title: Common body mass index-associated variants confer risk of extreme obesity publication-title: Hum Mol Genet doi: 10.1093/hmg/ddp292 contributor: fullname: C Cotsapas – ident: ref3 – volume: 42 start-page: 937 year: 2010 ident: ref10 article-title: Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index publication-title: Nat Genet doi: 10.1038/ng.686 contributor: fullname: EK Speliotes – volume: 41 start-page: 157 year: 2009 ident: ref20 article-title: Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations publication-title: Nat Genet doi: 10.1038/ng.301 contributor: fullname: D Meyre – volume: 7 start-page: e1002142 year: 2011 ident: ref25 article-title: A two-stage meta-analysis identifies several new loci for Parkinson’s disease publication-title: PLoS Genet doi: 10.1371/journal.pgen.1002142 – volume: 4 start-page: 222 year: 2011 ident: ref18 article-title: Developments in obesity genetics in the era of genome-wide association studies publication-title: J Nutrigenet Nutrigenomics doi: 10.1159/000332158 contributor: fullname: FR Day – volume: 307 start-page: 491 year: 2012 ident: ref5 article-title: Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010 publication-title: JAMA doi: 10.1001/jama.2012.39 contributor: fullname: KM Flegal – volume: 32 start-page: 832 year: 2008 ident: ref4 article-title: Shift in the composition of obesity in young adult men in Sweden over a third of a century publication-title: Int J Obes (Lond) doi: 10.1038/sj.ijo.0803784 contributor: fullname: M Neovius – volume: 43 start-page: 519 year: 2011 ident: ref41 article-title: Genome partitioning of genetic variation for complex traits using common SNPs publication-title: Nat Genet doi: 10.1038/ng.823 contributor: fullname: J Yang – volume: 39 start-page: 906 year: 2007 ident: ref30 article-title: A new multipoint method for genome-wide association studies by imputation of genotypes publication-title: Nat Genet doi: 10.1038/ng2088 contributor: fullname: J Marchini – volume: 447 start-page: 661 year: 2007 ident: ref27 article-title: Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls publication-title: Nature doi: 10.1038/nature05911 contributor: fullname: Consortium Wellcome Trust Case Control – ident: ref22 – volume: 27 start-page: 325 year: 1997 ident: ref8 article-title: Genetic and environmental factors in relative body weight and human adiposity publication-title: Behav Genet doi: 10.1023/A:1025635913927 contributor: fullname: HH Maes – volume: 6 start-page: e1000916 year: 2010 ident: ref21 article-title: 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 publication-title: PLoS Genet doi: 10.1371/journal.pgen.1000916 contributor: fullname: A Scherag – volume: 39 start-page: 724 year: 2007 ident: ref33 article-title: Variation in FTO contributes to childhood obesity and severe adult obesity publication-title: Nat Genet doi: 10.1038/ng2048 contributor: fullname: C Dina – volume: 41 start-page: 25 year: 2009 ident: ref9 article-title: Six new loci associated with body mass index highlight a neuronal influence on body weight regulation publication-title: Nat Genet doi: 10.1038/ng.287 contributor: fullname: CJ Willer – volume: 377 start-page: 557 year: 2011 ident: ref1 article-title: National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants publication-title: Lancet doi: 10.1016/S0140-6736(10)62037-5 contributor: fullname: MM Finucane – volume: 44 start-page: 526 year: 2012 ident: ref14 article-title: A genome-wide association meta-analysis identifies new childhood obesity loci publication-title: Nat Genet doi: 10.1038/ng.2247 contributor: fullname: JP Bradfield – ident: ref32 doi: 10.1002/oby.20319 – ident: ref11 – volume: 92 start-page: 707 year: 2012 ident: ref40 article-title: The genetic and epigenetic basis of type 2 diabetes and obesity publication-title: Clin Pharmacol Ther doi: 10.1038/clpt.2012.149 contributor: fullname: AW Drong – ident: ref2 doi: 10.1038/ijo.2012.159 – ident: ref13 – volume: 23 start-page: 427 year: 2013 ident: ref24 article-title: Metabolic/bariatric surgery worldwide 2011 publication-title: Obes Surg doi: 10.1007/s11695-012-0864-0 contributor: fullname: H Buchwald – volume: 357 start-page: 741 year: 2007 ident: ref23 article-title: Effects of bariatric surgery on mortality in Swedish obese subjects publication-title: N Engl J Med doi: 10.1056/NEJMoa066254 contributor: fullname: L Sjostrom – ident: ref42 doi: 10.1038/ijo.2013.30 – volume: 7 start-page: e41537 year: 2012 ident: ref39 article-title: Functional inactivation of the genome-wide association study obesity gene neuronal growth regulator 1 in mice causes a body mass phenotype publication-title: PLoS One doi: 10.1371/journal.pone.0041537 contributor: fullname: AW Lee – volume: 2 start-page: e1361 year: 2007 ident: ref34 article-title: Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants publication-title: PLoS One doi: 10.1371/journal.pone.0001361 contributor: fullname: A Hinney – volume: 99 start-page: 132 year: 2012 ident: ref38 article-title: Genome wide analysis reveals association of a FTO gene variant with epigenetic changes publication-title: Genomics doi: 10.1016/j.ygeno.2011.12.007 contributor: fullname: MS Almen – volume: 16 start-page: 1585 year: 2008 ident: ref17 article-title: Childhood obesity: genetic and environmental overlap with normal-range BMI publication-title: Obesity (Silver Spring) doi: 10.1038/oby.2008.240 contributor: fullname: CM Haworth – volume: 88 start-page: 971 year: 2008 ident: ref35 article-title: The fat mass- and obesity-associated locus and dietary intake in children publication-title: Am J Clin Nutr doi: 10.1093/ajcn/88.4.971 contributor: fullname: NJ Timpson – volume: 12 start-page: 1936 year: 2004 ident: ref6 article-title: Moderate and severe obesity have large differences in health care costs publication-title: Obes Res doi: 10.1038/oby.2004.243 contributor: fullname: T Andreyeva – volume: 449 start-page: 851 year: 2007 ident: ref28 article-title: A second generation human haplotype map of over 3.1 million SNPs publication-title: Nature doi: 10.1038/nature06258 contributor: fullname: KA Frazer – volume: 34 start-page: 29 year: 2010 ident: ref7 article-title: The genetic and environmental influences on childhood obesity: a systematic review of twin and adoption studies publication-title: Int J Obes (Lond) doi: 10.1038/ijo.2009.177 contributor: fullname: K Silventoinen – volume: 6 start-page: e18939 year: 2011 ident: ref19 article-title: A genome-wide association study on obesity and obesity-related traits publication-title: PLoS One doi: 10.1371/journal.pone.0018939 contributor: fullname: K Wang – volume: 3 start-page: 294 year: 2010 ident: ref12 article-title: Chipping away the ‘missing heritability’: GIANT steps forward in the molecular elucidation of obesity - but still lots to go publication-title: Obes Facts doi: 10.1159/000321537 contributor: fullname: J Hebebrand – volume: 41 start-page: 703 year: 2009 ident: ref26 article-title: Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes publication-title: Nat Genet doi: 10.1038/ng.381 contributor: fullname: JC Barrett – volume: 11 start-page: 362 year: 2010 ident: ref43 article-title: Obesity is a sign - over-eating is a symptom: an aetiological framework for the assessment and management of obesity publication-title: Obes Rev doi: 10.1111/j.1467-789X.2009.00689.x contributor: fullname: AM Sharma – ident: ref31 |
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| Snippet | The prevalence of severe obesity, defined as body mass index (BMI) ≥ 35.0 kg/m(2), is rising rapidly. Given the disproportionately high health burden and... The prevalence of severe obesity, defined as body mass index (BMI) [greater than or equal to]35.0 kg/m.sup.2, is rising rapidly. Given the disproportionately... The prevalence of severe obesity, defined as body mass index (BMI) ≥35.0 kg/m2, is rising rapidly. Given the disproportionately high health burden and... The prevalence of severe obesity, defined as body mass index (BMI) ≥35.0 kg/m 2 , is rising rapidly. Given the disproportionately high health burden and... |
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| Title | Contribution of 32 GWAS-identified common variants to severe obesity in European adults referred for bariatric surgery |
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