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Hollis B, Chatzigeorgiou C, Southam L, Hatzikotoulas K, Kluzek S, Williams A, Zeggini E, Jostins-Dean L, Watt FE. Lifetime risk and genetic predisposition to post-traumatic OA of the knee in the UK Biobank. Osteoarthritis Cartilage 2023; 31:1377-1387. [PMID: 37247657 DOI: 10.1016/j.joca.2023.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 05/19/2023] [Accepted: 05/24/2023] [Indexed: 05/31/2023]
Abstract
OBJECTIVE Acute knee injury is associated with post-traumatic OA (PTOA). Very little is known about the genome-wide associations of PTOA when compared with idiopathic OA (iOA). Our objective was to describe the development of knee OA after a knee injury and its genetic associations in UK Biobank (UKB). DESIGN Clinically significant structural knee injuries in those ≤50 years were identified from electronic health records and self-reported data in 502,409 UKB participants. Time-to-first knee osteoarthritis (OA) code was compared in injured cases and age-/sex-matched non-injured controls using Cox Proportional Hazards models. A time-to-OA genome-wide association study (GWAS) sought evidence for PTOA risk variants 6 months to 20 years following injury. Evidence for associations of two iOA polygenic risk scores (PRS) was sought. RESULTS Of 4233 knee injury cases, 1896 (44.8%) were female (mean age at injury 34.1 years [SD 10.4]). Over a median of 30.2 (IQR 19.5-45.4) years, 1096 (25.9%) of injured cases developed knee OA. The overall hazards ratio (HR) for knee OA after injury was 1.81 (1.70,1.93), P = 8.9 × 10-74. Female sex and increasing age at injury were associated with knee OA following injury (HR 1.15 [1.02,1.30];1.07 [1,07,1.07] respectively). OA risk was highest in the first 5 years after injury (HR 3.26 [2.67,3.98]), persisting for 40 years. In 3074 knee injury cases included in the time-to-OA GWAS, no variants reached genome-wide significance. iOA PRS was not associated with time-to-OA (HR 0.43 [0.02,8.41]). CONCLUSIONS Increasing age at injury and female sex appear to be associated with future development of PTOA in UKB, the risk of which was greatest in the 5 years after injury. Further international efforts towards a better-powered meta-analysis will definitively elucidate genetic similarities and differences of PTOA and iOA.
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Affiliation(s)
- B Hollis
- Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, United Kingdom
| | - C Chatzigeorgiou
- Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, United Kingdom
| | - L Southam
- Institute of Translational Genomics, Helmholtz, Munich, Germany
| | - K Hatzikotoulas
- Institute of Translational Genomics, Helmholtz, Munich, Germany
| | - S Kluzek
- Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, University of Nottingham, Nottingham, United Kingdom
| | | | - E Zeggini
- Institute of Translational Genomics, Helmholtz, Munich, Germany
| | - L Jostins-Dean
- Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, United Kingdom
| | - F E Watt
- Department of Immunology and Inflammation, Imperial College London, London, United Kingdom; Centre for Osteoarthritis Pathogenesis Versus Arthritis, Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, United Kingdom.
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2
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Huckins LM, Hatzikotoulas K, Southam L, Thornton LM, Steinberg J, Aguilera-McKay F, Treasure J, Schmidt U, Gunasinghe C, Romero A, Curtis C, Rhodes D, Moens J, Kalsi G, Dempster D, Leung R, Keohane A, Burghardt R, Ehrlich S, Hebebrand J, Hinney A, Ludolph A, Walton E, Deloukas P, Hofman A, Palotie A, Palta P, van Rooij FJA, Stirrups K, Adan R, Boni C, Cone R, Dedoussis G, van Furth E, Gonidakis F, Gorwood P, Hudson J, Kaprio J, Kas M, Keski-Rahonen A, Kiezebrink K, Knudsen GP, Slof-Op 't Landt MCT, Maj M, Monteleone AM, Monteleone P, Raevuori AH, Reichborn-Kjennerud T, Tozzi F, Tsitsika A, van Elburg A, Collier DA, Sullivan PF, Breen G, Bulik CM, Zeggini E. Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol Psychiatry 2018; 23:1169-1180. [PMID: 29155802 PMCID: PMC5828108 DOI: 10.1038/mp.2017.88] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 02/16/2017] [Accepted: 02/17/2017] [Indexed: 12/12/2022]
Abstract
Anorexia nervosa (AN) is a complex neuropsychiatric disorder presenting with dangerously low body weight, and a deep and persistent fear of gaining weight. To date, only one genome-wide significant locus associated with AN has been identified. We performed an exome-chip based genome-wide association studies (GWAS) in 2158 cases from nine populations of European origin and 15 485 ancestrally matched controls. Unlike previous studies, this GWAS also probed association in low-frequency and rare variants. Sixteen independent variants were taken forward for in silico and de novo replication (11 common and 5 rare). No findings reached genome-wide significance. Two notable common variants were identified: rs10791286, an intronic variant in OPCML (P=9.89 × 10-6), and rs7700147, an intergenic variant (P=2.93 × 10-5). No low-frequency variant associations were identified at genome-wide significance, although the study was well-powered to detect low-frequency variants with large effect sizes, suggesting that there may be no AN loci in this genomic search space with large effect sizes.
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Affiliation(s)
- L M Huckins
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
- Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - K Hatzikotoulas
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - L Southam
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - L M Thornton
- Department of Psychiatry and Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - J Steinberg
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - F Aguilera-McKay
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - J Treasure
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - U Schmidt
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - C Gunasinghe
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - A Romero
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - C Curtis
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - D Rhodes
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - J Moens
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G Kalsi
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - D Dempster
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - R Leung
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - A Keohane
- Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR BRC SLaM BioResource for Mental Health, SGDP Centre & Centre for Neuroimaging Sciences, Section of Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - R Burghardt
- Klinik für Kinder- und Jugendpsychiatrie, Psychotherapie und Psychosomatik Klinikum Frankfurt, Frankfurt, Germany
| | - S Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
- Eating Disorders Research and Treatment Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - J Hebebrand
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - A Hinney
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - A Ludolph
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany
| | - E Walton
- Division of Psychological & Social Medicine and Developmental Neurosciences, Technische Universität Dresden, Faculty of Medicine, University Hospital C.G. Carus, Dresden, Germany
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - P Deloukas
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - A Hofman
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A Palotie
- Center for Human Genome Research at the Massachusetts General Hospital, Boston, MA, USA
- Department of Public Health & Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - P Palta
- Department of Public Health & Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - F J A van Rooij
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - K Stirrups
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - R Adan
- Brain Center Rudolf Magnus, Department of Neuroscience and Pharmacology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C Boni
- INSERM U984, Centre of Psychiatry and Neuroscience, Paris, France
| | - R Cone
- Mary Sue Coleman Director, Life Sciences Institute, Professor of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - G Dedoussis
- Department of Dietetics-Nutrition, Harokopio University, Athens, Greece
| | - E van Furth
- Rivierduinen Eating Disorders Ursula, Leiden, Zuid-Holland, The Netherlands
| | - F Gonidakis
- Eating Disorders Unit, 1st Department of Psychiatry, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - P Gorwood
- INSERM U984, Centre of Psychiatry and Neuroscience, Paris, France
| | - J Hudson
- Department of Psychiatry, McLean Hospital/Harvard Medical School, Belmont, MA, USA
| | - J Kaprio
- Department of Public Health & Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland
| | - M Kas
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - A Keski-Rahonen
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
| | - K Kiezebrink
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - G-P Knudsen
- Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | | | - M Maj
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - A M Monteleone
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - P Monteleone
- Department of Medicine and Surgery, Section of Neurosciences, University of Salerno, Salerno, Italy
| | - A H Raevuori
- Department of Public Health, Clinicum, University of Helsinki, Helsinki, Finland
| | - T Reichborn-Kjennerud
- Department of Genetics, Environment and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - F Tozzi
- eHealth Lab-Computer Science Department, University of Cyprus, Nicosia, Cyprus
| | - A Tsitsika
- Adolescent Health Unit (A.H.U.), 2nd Department of Pediatrics – Medical School, University of Athens "P. & A. Kyriakou" Children's Hospital, Athens, Greece
| | - A van Elburg
- Center for Eating Disorders Rintveld, University of Utrecht, Utrecht, The Netherlands
| | - D A Collier
- Eli Lilly and Company, Erl Wood Manor, Windlesham, UK
| | - P F Sullivan
- Departments of Genetics and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinksa Institutet, Stockholm, Sweden
| | - G Breen
- Social Genetic and Developmental Psychiatry, King's College London, London, UK
| | - C M Bulik
- Department of Psychiatry and Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinksa Institutet, Stockholm, Sweden
| | - E Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
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3
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Warrington NM, Richmond R, Fenstra B, Myhre R, Gaillard R, Paternoster L, Wang CA, Beaumont RN, Das S, Murcia M, Barton SJ, Espinosa A, Thiering E, Atalay M, Pitkänen N, Ntalla I, Jonsson AE, Freathy R, Karhunen V, Tiesler CMT, Allard C, Crawford A, Ring SM, Melbye M, Magnus P, Rivadeneira F, Skotte L, Hansen T, Marsh J, Guxens M, Holloway JW, Grallert H, Jaddoe VWV, Lowe Jr WL, Roumeliotaki T, Hattersley AT, Lindi V, Pahkala K, Panoutsopoulou K, Standl M, Flexeder C, Bouchard L, Aagaard Nohr E, Marina LS, Kogevinas M, Niinikoski H, Dedoussis G, Heinrich J, Reynolds RM, Lakka T, Zeggini E, Raitakari OT, Chatzi L, Inskip HM, Bustamante M, Hivert MF, Jarvelin MR, Sørensen TIA, Pennell C, Felix JF, Jacobsson B, Geller F, Evans DM, Lawlor DA. Maternal and fetal genetic contribution to gestational weight gain. Int J Obes (Lond) 2018; 42:775-784. [PMID: 28990592 PMCID: PMC5784805 DOI: 10.1038/ijo.2017.248] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 08/27/2017] [Accepted: 09/03/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Clinical recommendations to limit gestational weight gain (GWG) imply high GWG is causally related to adverse outcomes in mother or offspring, but GWG is the sum of several inter-related complex phenotypes (maternal fat deposition and vascular expansion, placenta, amniotic fluid and fetal growth). Understanding the genetic contribution to GWG could help clarify the potential effect of its different components on maternal and offspring health. Here we explore the genetic contribution to total, early and late GWG. PARTICIPANTS AND METHODS A genome-wide association study was used to identify maternal and fetal variants contributing to GWG in up to 10 543 mothers and 16 317 offspring of European origin, with replication in 10 660 mothers and 7561 offspring. Additional analyses determined the proportion of variability in GWG from maternal and fetal common genetic variants and the overlap of established genome-wide significant variants for phenotypes relevant to GWG (for example, maternal body mass index (BMI) and glucose, birth weight). RESULTS Approximately 20% of the variability in GWG was tagged by common maternal genetic variants, and the fetal genome made a surprisingly minor contribution to explain variation in GWG. Variants near the pregnancy-specific beta-1 glycoprotein 5 (PSG5) gene reached genome-wide significance (P=1.71 × 10-8) for total GWG in the offspring genome, but did not replicate. Some established variants associated with increased BMI, fasting glucose and type 2 diabetes were associated with lower early, and higher later GWG. Maternal variants related to higher systolic blood pressure were related to lower late GWG. Established maternal and fetal birth weight variants were largely unrelated to GWG. CONCLUSIONS We found a modest contribution of maternal common variants to GWG and some overlap of maternal BMI, glucose and type 2 diabetes variants with GWG. These findings suggest that associations between GWG and later offspring/maternal outcomes may be due to the relationship of maternal BMI and diabetes with GWG.
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Affiliation(s)
- N M Warrington
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R Richmond
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - B Fenstra
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - R Myhre
- Norwegian Institute of Public Health, Oslo, Norway
| | - R Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Paternoster
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - C A Wang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R N Beaumont
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - S Das
- Department of Public Health and Primary Care, School of Public Health, Imperial College London, London, UK
| | - M Murcia
- Epidemiology and Environmental Health Joint Research Unit, FISABIO–Universitat Jaume I–Universitat de València, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
| | - S J Barton
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
| | - A Espinosa
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - E Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - M Atalay
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - N Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - I Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - A E Jonsson
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - R Freathy
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Karhunen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - C M T Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - C Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
| | - A Crawford
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - S M Ring
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- ALSPAC (Children of the 90s), School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - M Melbye
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
- Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - P Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - F Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Skotte
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - T Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J Marsh
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - M Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre–Sophia Children’s Hospital, Rotterdam, The Netherlands
| | - J W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - H Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Clinical Cooperation Group Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Technische Universität München, Freising, Germany
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - W L Lowe Jr
- Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - T Roumeliotaki
- Department of Social Medicine, University of Crete, Crete, Greece
| | - A T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Lindi
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - K Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Sports and Exercise Medicine Unit, Department of Health and Physical Activity, Turku, Finland
| | - K Panoutsopoulou
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - M Standl
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - C Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - L Bouchard
- Department of Biochemistry, Faculty of medicine and life sciences, Université de Sherbrooke, Sherbrooke, Canada
| | - E Aagaard Nohr
- Public Health Division of Gipuzkoa, Basque Government, Vitoria-Gasteiz, Spain
| | - L Santa Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- Health Research Institute, Biodonostia, San Sebastián, Gipuzkoa, Spain
- Health Research Institute, Biodonostia, San Sebastián, Spain
| | - M Kogevinas
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - H Niinikoski
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - G Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - J Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Inner City Clinic, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - R M Reynolds
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - T Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - E Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - O T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - L Chatzi
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Bustamante
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - M-F Hivert
- Department of Population Medicine at Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - M-R Jarvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC–PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - T I A Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formally the Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - C Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - J F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - B Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalization, Institute of Public Health, Oslo, Norway
| | - F Geller
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - D M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - D A Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
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Hinney A, Kesselmeier M, Jall S, Volckmar AL, Föcker M, Antel J, Heid IM, Winkler TW, Grant SFA, Guo Y, Bergen AW, Kaye W, Berrettini W, Hakonarson H, Herpertz-Dahlmann B, de Zwaan M, Herzog W, Ehrlich S, Zipfel S, Egberts KM, Adan R, Brandys M, van Elburg A, Boraska Perica V, Franklin CS, Tschöp MH, Zeggini E, Bulik CM, Collier D, Scherag A, Müller TD, Hebebrand J. Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index. Mol Psychiatry 2017; 22:192-201. [PMID: 27184124 PMCID: PMC5114162 DOI: 10.1038/mp.2016.71] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Revised: 02/22/2016] [Accepted: 03/17/2016] [Indexed: 02/06/2023]
Abstract
The maintenance of normal body weight is disrupted in patients with anorexia nervosa (AN) for prolonged periods of time. Prior to the onset of AN, premorbid body mass index (BMI) spans the entire range from underweight to obese. After recovery, patients have reduced rates of overweight and obesity. As such, loci involved in body weight regulation may also be relevant for AN and vice versa. Our primary analysis comprised a cross-trait analysis of the 1000 single-nucleotide polymorphisms (SNPs) with the lowest P-values in a genome-wide association meta-analysis (GWAMA) of AN (GCAN) for evidence of association in the largest published GWAMA for BMI (GIANT). Subsequently we performed sex-stratified analyses for these 1000 SNPs. Functional ex vivo studies on four genes ensued. Lastly, a look-up of GWAMA-derived BMI-related loci was performed in the AN GWAMA. We detected significant associations (P-values <5 × 10-5, Bonferroni-corrected P<0.05) for nine SNP alleles at three independent loci. Interestingly, all AN susceptibility alleles were consistently associated with increased BMI. None of the genes (chr. 10: CTBP2, chr. 19: CCNE1, chr. 2: CARF and NBEAL1; the latter is a region with high linkage disequilibrium) nearest to these SNPs has previously been associated with AN or obesity. Sex-stratified analyses revealed that the strongest BMI signal originated predominantly from females (chr. 10 rs1561589; Poverall: 2.47 × 10-06/Pfemales: 3.45 × 10-07/Pmales: 0.043). Functional ex vivo studies in mice revealed reduced hypothalamic expression of Ctbp2 and Nbeal1 after fasting. Hypothalamic expression of Ctbp2 was increased in diet-induced obese (DIO) mice as compared with age-matched lean controls. We observed no evidence for associations for the look-up of BMI-related loci in the AN GWAMA. A cross-trait analysis of AN and BMI loci revealed variants at three chromosomal loci with potential joint impact. The chromosome 10 locus is particularly promising given that the association with obesity was primarily driven by females. In addition, the detected altered hypothalamic expression patterns of Ctbp2 and Nbeal1 as a result of fasting and DIO implicate these genes in weight regulation.
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Affiliation(s)
- A Hinney
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - M Kesselmeier
- Clinical Epidemiology, Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
| | - S Jall
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center & German Diabetes Center (DZD), Helmholtz Zentrum München, Neuherberg, Germany
- Division of Metabolic Diseases, Department of Medicine, Technische Universität München, Munich, Germany
| | - A-L Volckmar
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - M Föcker
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - J Antel
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - I M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - T W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - S F A Grant
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA, USA
- Divisions of Genetics and Endocrinology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- The Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Y Guo
- The Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - W Kaye
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - W Berrettini
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - H Hakonarson
- The Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - B Herpertz-Dahlmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of the RWTH Aachen, Aachen, Germany
| | - M de Zwaan
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - W Herzog
- Department of Internal Medicine II, General Internal and Psychosomatic Medicine, University of Heidelberg, Heidelberg, Germany
| | - S Ehrlich
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU-Dresden, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany
| | - S Zipfel
- Department of Psychosomatic Medicine and Psychotherapy, Medical University Hospital, Tübingen, Germany
| | - K M Egberts
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - R Adan
- Brain Center Rudolf Magnus, Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
- Altrecht Eating Disorders Rintveld, Zeist, The Netherlands
| | - M Brandys
- Brain Center Rudolf Magnus, Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
- Altrecht Eating Disorders Rintveld, Zeist, The Netherlands
| | - A van Elburg
- Brain Center Rudolf Magnus, Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - V Boraska Perica
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
- University of Split School of Medicine, Split, Croatia
| | - C S Franklin
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - M H Tschöp
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center & German Diabetes Center (DZD), Helmholtz Zentrum München, Neuherberg, Germany
- Division of Metabolic Diseases, Department of Medicine, Technische Universität München, Munich, Germany
| | - E Zeggini
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - C M Bulik
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Collier
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
- Eli Lilly and Company Ltd, Surrey, UK
| | - A Scherag
- Clinical Epidemiology, Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
| | - T D Müller
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center & German Diabetes Center (DZD), Helmholtz Zentrum München, Neuherberg, Germany
- Division of Metabolic Diseases, Department of Medicine, Technische Universität München, Munich, Germany
| | - J Hebebrand
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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Hinney A, Kesselmeier M, Jall S, Volckmar AL, Föcker M, Antel J, Heid IM, Winkler TW, Grant SFA, Guo Y, Bergen AW, Kaye W, Berrettini W, Hakonarson H, Herpertz-Dahlmann B, de Zwaan M, Herzog W, Ehrlich S, Zipfel S, Egberts KM, Adan R, Brandys M, van Elburg A, Perica VB, Franklin CS, Tschöp MH, Zeggini E, Bulik CM, Collier D, Scherag A, Müller TD, Hebebrand J. Evidence for three genetic loci involved in both anorexia nervosa risk and variation of body mass index. Mol Psychiatry 2017; 22:321-322. [PMID: 27457816 PMCID: PMC8477229 DOI: 10.1038/mp.2016.126] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Ombrello M, Remmers E, Zeggini E, Thomson W, Kastner D, Woo P. HLA-DRB1*11 and variants of the MHC class II locus are strong risk factors for systemic juvenile idiopathic arthritis. Pediatr Rheumatol Online J 2015. [PMCID: PMC4596950 DOI: 10.1186/1546-0096-13-s1-o75] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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7
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Boraska V, Franklin CS, Floyd JAB, Thornton LM, Huckins LM, Southam L, Rayner NW, Tachmazidou I, Klump KL, Treasure J, Lewis CM, Schmidt U, Tozzi F, Kiezebrink K, Hebebrand J, Gorwood P, Adan RAH, Kas MJH, Favaro A, Santonastaso P, Fernández-Aranda F, Gratacos M, Rybakowski F, Dmitrzak-Weglarz M, Kaprio J, Keski-Rahkonen A, Raevuori A, Van Furth EF, Slof-Op 't Landt MCT, Hudson JI, Reichborn-Kjennerud T, Knudsen GPS, Monteleone P, Kaplan AS, Karwautz A, Hakonarson H, Berrettini WH, Guo Y, Li D, Schork NJ, Komaki G, Ando T, Inoko H, Esko T, Fischer K, Männik K, Metspalu A, Baker JH, Cone RD, Dackor J, DeSocio JE, Hilliard CE, O'Toole JK, Pantel J, Szatkiewicz JP, Taico C, Zerwas S, Trace SE, Davis OSP, Helder S, Bühren K, Burghardt R, de Zwaan M, Egberts K, Ehrlich S, Herpertz-Dahlmann B, Herzog W, Imgart H, Scherag A, Scherag S, Zipfel S, Boni C, Ramoz N, Versini A, Brandys MK, Danner UN, de Kovel C, Hendriks J, Koeleman BPC, Ophoff RA, Strengman E, van Elburg AA, Bruson A, Clementi M, Degortes D, Forzan M, Tenconi E, Docampo E, Escaramís G, Jiménez-Murcia S, Lissowska J, Rajewski A, Szeszenia-Dabrowska N, Slopien A, Hauser J, Karhunen L, Meulenbelt I, Slagboom PE, Tortorella A, Maj M, Dedoussis G, Dikeos D, Gonidakis F, Tziouvas K, Tsitsika A, Papezova H, Slachtova L, Martaskova D, Kennedy JL, Levitan RD, Yilmaz Z, Huemer J, Koubek D, Merl E, Wagner G, Lichtenstein P, Breen G, Cohen-Woods S, Farmer A, McGuffin P, Cichon S, Giegling I, Herms S, Rujescu D, Schreiber S, Wichmann HE, Dina C, Sladek R, Gambaro G, Soranzo N, Julia A, Marsal S, Rabionet R, Gaborieau V, Dick DM, Palotie A, Ripatti S, Widén E, Andreassen OA, Espeseth T, Lundervold A, Reinvang I, Steen VM, Le Hellard S, Mattingsdal M, Ntalla I, Bencko V, Foretova L, Janout V, Navratilova M, Gallinger S, Pinto D, Scherer SW, Aschauer H, Carlberg L, Schosser A, Alfredsson L, Ding B, Klareskog L, Padyukov L, Courtet P, Guillaume S, Jaussent I, Finan C, Kalsi G, Roberts M, Logan DW, Peltonen L, Ritchie GRS, Barrett JC, Estivill X, Hinney A, Sullivan PF, Collier DA, Zeggini E, Bulik CM. A genome-wide association study of anorexia nervosa. Mol Psychiatry 2014; 19:1085-94. [PMID: 24514567 PMCID: PMC4325090 DOI: 10.1038/mp.2013.187] [Citation(s) in RCA: 241] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2013] [Revised: 11/21/2013] [Accepted: 11/25/2013] [Indexed: 02/06/2023]
Abstract
Anorexia nervosa (AN) is a complex and heritable eating disorder characterized by dangerously low body weight. Neither candidate gene studies nor an initial genome-wide association study (GWAS) have yielded significant and replicated results. We performed a GWAS in 2907 cases with AN from 14 countries (15 sites) and 14 860 ancestrally matched controls as part of the Genetic Consortium for AN (GCAN) and the Wellcome Trust Case Control Consortium 3 (WTCCC3). Individual association analyses were conducted in each stratum and meta-analyzed across all 15 discovery data sets. Seventy-six (72 independent) single nucleotide polymorphisms were taken forward for in silico (two data sets) or de novo (13 data sets) replication genotyping in 2677 independent AN cases and 8629 European ancestry controls along with 458 AN cases and 421 controls from Japan. The final global meta-analysis across discovery and replication data sets comprised 5551 AN cases and 21 080 controls. AN subtype analyses (1606 AN restricting; 1445 AN binge-purge) were performed. No findings reached genome-wide significance. Two intronic variants were suggestively associated: rs9839776 (P=3.01 × 10(-7)) in SOX2OT and rs17030795 (P=5.84 × 10(-6)) in PPP3CA. Two additional signals were specific to Europeans: rs1523921 (P=5.76 × 10(-)(6)) between CUL3 and FAM124B and rs1886797 (P=8.05 × 10(-)(6)) near SPATA13. Comparing discovery with replication results, 76% of the effects were in the same direction, an observation highly unlikely to be due to chance (P=4 × 10(-6)), strongly suggesting that true findings exist but our sample, the largest yet reported, was underpowered for their detection. The accrual of large genotyped AN case-control samples should be an immediate priority for the field.
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Affiliation(s)
- V Boraska
- 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK [2] University of Split School of Medicine, Split, Croatia
| | - C S Franklin
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - J A B Floyd
- 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK [2] William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, John Vane Science Centre, Charterhouse Square, London, UK
| | - L M Thornton
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - L M Huckins
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - L Southam
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - N W Rayner
- 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK [2] Wellcome Trust Centre for Human Genetics (WTCHG), University of Oxford, Oxford, UK [3] Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), Oxford, UK
| | - I Tachmazidou
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - K L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - J Treasure
- Section of Eating Disorders, Institute of Psychiatry, King's College London, London, UK
| | - C M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - U Schmidt
- Section of Eating Disorders, Institute of Psychiatry, King's College London, London, UK
| | - F Tozzi
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - K Kiezebrink
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - J Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Universitätsklinikum Essen, University of Duisburg-Essen, Essen, Germany
| | - P Gorwood
- 1] INSERM U894, Centre of Psychiatry and Neuroscience, Paris, France [2] Sainte-Anne Hospital (CMME), University of Paris-Descartes, Paris, France
| | - R A H Adan
- 1] Brain Center Rudolf Magnus, Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands [2] Altrecht Eating Disorders Rintveld, Zeist, The Netherlands
| | - M J H Kas
- Brain Center Rudolf Magnus, Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - A Favaro
- Department of Neurosciences, University of Padova, Padova, Italy
| | - P Santonastaso
- Department of Neurosciences, University of Padova, Padova, Italy
| | - F Fernández-Aranda
- 1] Department of Psychiatry and CIBERON, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain [2] Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
| | - M Gratacos
- 1] Genomics and Disease Group, Centre for Genomic Regulation (CRG), Barcelona, Spain [2] Universitat Pompeu Fabra (UPF), Barcelona, Spain [3] Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain [4] Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - F Rybakowski
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - M Dmitrzak-Weglarz
- Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - J Kaprio
- 1] Hjelt Institute, University of Helsinki, Helsinki, Finland [2] Institute of Molecular Medicine, University of Helsinki, Helsinki, Finland [3] Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
| | | | - A Raevuori
- 1] Hjelt Institute, University of Helsinki, Helsinki, Finland [2] Department of Adolescent Psychiatry, Helsinki University Central Hospital, Helsinki, Finland
| | - E F Van Furth
- 1] Center for Eating Disorders Ursula, Leidschendam, The Netherlands [2] Department of Psychiatry, Leiden University Medical Centre, Leiden, The Netherlands
| | - M C T Slof-Op 't Landt
- 1] Center for Eating Disorders Ursula, Leidschendam, The Netherlands [2] Molecular Epidemiology Section, Department of Medical Statistics, Leiden University Medical Centre, Leiden, The Netherlands
| | - J I Hudson
- Department of Psychiatry, McLean Hospital/Harvard Medical School, Belmont, MA, USA
| | - T Reichborn-Kjennerud
- 1] Department of Genetics, Environment and Mental Health, Norwegian Institute of Public Health, Oslo, Norway [2] Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - G P S Knudsen
- Department of Genetics, Environment and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - P Monteleone
- 1] Department of Psychiatry, University of Naples SUN, Naples, Italy [2] Chair of Psychiatry, University of Salerno, Salerno, Italy
| | - A S Kaplan
- 1] Centre for Addiction and Mental Health, Toronto, ON, Canada [2] Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - A Karwautz
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - H Hakonarson
- 1] The Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA [2] The Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - W H Berrettini
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Y Guo
- The Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - D Li
- The Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - N J Schork
- Department of Molecular and Experimental Medicine and The Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA, USA
| | - G Komaki
- 1] Department of Psychosomatic Research, National Institute of Mental Health, NCNP, Tokyo, Japan [2] School of Health Sciences at Fukuoka, International University of Health and Welfare, Fukuoka, Japan
| | - T Ando
- Department of Psychosomatic Research, National Institute of Mental Health, NCNP, Tokyo, Japan
| | - H Inoko
- Department of Molecular Life Sciences, Tokai University School of Medicine, Kanagawa, Japan
| | - T Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - K Fischer
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - K Männik
- 1] Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia [2] Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - A Metspalu
- 1] Estonian Genome Center, University of Tartu, Tartu, Estonia [2] Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - J H Baker
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - R D Cone
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - J Dackor
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - J E DeSocio
- Seattle University College of Nursing, Seattle, WA, USA
| | - C E Hilliard
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - J Pantel
- Centre de Psychiatrie et Neurosciences - Inserm U894, Paris, France
| | - J P Szatkiewicz
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - C Taico
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - S Zerwas
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - S E Trace
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - O S P Davis
- 1] Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK [2] Department of Genetics, Evolution and Environment, University College London, UCL Genetics Institute, London, UK
| | - S Helder
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - K Bühren
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Clinics RWTH Aachen, Aachen, Germany
| | - R Burghardt
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Charité, Berlin, Germany
| | - M de Zwaan
- 1] Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany [2] Department of Psychosomatic Medicine and Psychotherapy, University of Erlangen-Nuremberg, Erlangen, Germany
| | - K Egberts
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Würzburg, Würzburg, Germany
| | - S Ehrlich
- 1] Department of Child and Adolescent Psychiatry, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany [2] Athinoula A. Martinos Center for Biomedical Imaging, Psychiatric Neuroimaging Research Program, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA
| | - B Herpertz-Dahlmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Clinics RWTH Aachen, Aachen, Germany
| | - W Herzog
- Departments of Psychosocial and Internal Medicine, Heidelberg University, Heidelberg, Germany
| | - H Imgart
- Parklandklinik, Bad Wildungen, Germany
| | - A Scherag
- Institute for Medical Informatics, Biometry and Epidemiology, Universitätsklinikum Essen, University of Duisburg-Essen, Essen, Germany
| | - S Scherag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Universitätsklinikum Essen, University of Duisburg-Essen, Essen, Germany
| | - S Zipfel
- Department of Internal Medicine VI, Psychosomatic Medicine and Psychotherapy, University Medical Hospital Tübingen, Tübingen, Germany
| | - C Boni
- INSERM U894, Centre of Psychiatry and Neuroscience, Paris, France
| | - N Ramoz
- INSERM U894, Centre of Psychiatry and Neuroscience, Paris, France
| | - A Versini
- INSERM U894, Centre of Psychiatry and Neuroscience, Paris, France
| | - M K Brandys
- 1] Brain Center Rudolf Magnus, Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands [2] Altrecht Eating Disorders Rintveld, Zeist, The Netherlands
| | - U N Danner
- Altrecht Eating Disorders Rintveld, Zeist, The Netherlands
| | - C de Kovel
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J Hendriks
- Brain Center Rudolf Magnus, Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - B P C Koeleman
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R A Ophoff
- 1] Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA [2] Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - E Strengman
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - A A van Elburg
- 1] Altrecht Eating Disorders Rintveld, Zeist, The Netherlands [2] Department of Child and Adolescent Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - A Bruson
- Clinical Genetics Unit, Department of Woman and Child Health, University of Padova, Padova, Italy
| | - M Clementi
- Clinical Genetics Unit, Department of Woman and Child Health, University of Padova, Padova, Italy
| | - D Degortes
- Department of Neurosciences, University of Padova, Padova, Italy
| | - M Forzan
- Clinical Genetics Unit, Department of Woman and Child Health, University of Padova, Padova, Italy
| | - E Tenconi
- Department of Neurosciences, University of Padova, Padova, Italy
| | - E Docampo
- 1] Genomics and Disease Group, Centre for Genomic Regulation (CRG), Barcelona, Spain [2] Universitat Pompeu Fabra (UPF), Barcelona, Spain [3] Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain [4] Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - G Escaramís
- 1] Genomics and Disease Group, Centre for Genomic Regulation (CRG), Barcelona, Spain [2] Universitat Pompeu Fabra (UPF), Barcelona, Spain [3] Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain [4] Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - S Jiménez-Murcia
- 1] Department of Psychiatry and CIBERON, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain [2] Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
| | - J Lissowska
- M. Sklodowska-Curie Cancer Center and Institute of Oncology, Warsaw, Poland
| | - A Rajewski
- Department of Epidemiology, Institute of Occupational Medicine, Department of Epidemiology, Lodz, Poland
| | - N Szeszenia-Dabrowska
- Department of Epidemiology, Institute of Occupational Medicine, Department of Epidemiology, Lodz, Poland
| | - A Slopien
- Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - J Hauser
- Department of Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - L Karhunen
- Department of Clinical Nutrition, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - I Meulenbelt
- Molecular Epidemiology Section, Department of Medical Statistics, Leiden University Medical Centre, Leiden, The Netherlands
| | - P E Slagboom
- 1] Molecular Epidemiology Section, Department of Medical Statistics, Leiden University Medical Centre, Leiden, The Netherlands [2] Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands
| | - A Tortorella
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - M Maj
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - G Dedoussis
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - D Dikeos
- 1st Department of Psychiatry, Athens University Medical School, Athens, Greece
| | - F Gonidakis
- Eating Disorders Unit, 1st Department of Psychiatry, Athens University Medical School, Athens, Greece
| | - K Tziouvas
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - A Tsitsika
- Adolescent Health Unit (A.H.U.), 2nd Department of Pediatrics - Medical School, University of Athens 'P. & A. Kyriakou' Children's Hospital, Athens, Greece
| | - H Papezova
- Department of Psychiatry, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - L Slachtova
- Department of Pediatrics, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - D Martaskova
- Department of Psychiatry, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - J L Kennedy
- 1] Centre for Addiction and Mental Health, Toronto, ON, Canada [2] Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - R D Levitan
- 1] Centre for Addiction and Mental Health, Toronto, ON, Canada [2] Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Z Yilmaz
- 1] Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA [2] Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - J Huemer
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - D Koubek
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - E Merl
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - G Wagner
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - P Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - G Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - S Cohen-Woods
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - A Farmer
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - P McGuffin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - S Cichon
- 1] Department of Genomics, Life & Brain Center, Institute of Human Genetics, University of Bonn, Bonn, Germany [2] Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany [3] Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - I Giegling
- Klinikum der Medizinischen Fakultät, Martin-Luther-Universität Halle-Wittenberg, Halle/Saale, Germany
| | - S Herms
- 1] Department of Genomics, Life & Brain Center, Institute of Human Genetics, University of Bonn, Bonn, Germany [2] Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - D Rujescu
- Klinikum der Medizinischen Fakultät, Martin-Luther-Universität Halle-Wittenberg, Halle/Saale, Germany
| | - S Schreiber
- Institute of Clinical Molecular Biology, University of Kiel, Kiel, Germany
| | - H-E Wichmann
- 1] Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany [2] Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-University, Munich, Germany
| | - C Dina
- CNRS 8090-Institute of Biology, Pasteur Institute, Lille, France
| | - R Sladek
- McGill University and Genome Quebec Innovation Centre, Montreal, QC, Canada
| | - G Gambaro
- Division of Nephrology, Department of Internal Medicine and Medical Specialties, Columbus-Gemelly Hospitals, Catholic University, Rome, Italy
| | - N Soranzo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - A Julia
- Unitat de Recerca de Reumatologia (URR), Institut de Recerca Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - S Marsal
- Unitat de Recerca de Reumatologia (URR), Institut de Recerca Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - R Rabionet
- 1] Genomics and Disease Group, Centre for Genomic Regulation (CRG), Barcelona, Spain [2] Universitat Pompeu Fabra (UPF), Barcelona, Spain [3] Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain [4] Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - V Gaborieau
- Genetic Epidemiology Group, International Agency for Research on Cancer (IARC), Lyon, France
| | - D M Dick
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - A Palotie
- 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK [2] The Finnish Institute of Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland [3] The Program for Human and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - S Ripatti
- 1] The Finnish Institute of Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland [2] Finnish Institute of Occupational Health, Helsinki, Finland
| | - E Widén
- 1] The Finnish Institute of Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland [2] Finnish Institute of Occupational Health, Helsinki, Finland
| | - O A Andreassen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - T Espeseth
- 1] NORMENT, K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway [2] Department of Psychology, University of Oslo, Oslo, Norway
| | - A Lundervold
- 1] Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway [2] Kavli Research Centre for Aging and Dementia, Haraldsplass Deaconess Hospital, Bergen, Norway [3] K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - I Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - V M Steen
- 1] Department of Clinical Science, K.G. Jebsen Centre for Psychosis Research, Norwegian Centre For Mental Disorders Research (NORMENT), University of Bergen, Bergen, Norway [2] Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - S Le Hellard
- 1] Department of Clinical Science, K.G. Jebsen Centre for Psychosis Research, Norwegian Centre For Mental Disorders Research (NORMENT), University of Bergen, Bergen, Norway [2] Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - M Mattingsdal
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - I Ntalla
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - V Bencko
- Institute of Hygiene and Epidemiology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - L Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - V Janout
- Palacky University, Olomouc, Czech Republic
| | - M Navratilova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - S Gallinger
- 1] University Health Network, Toronto General Hospital, Toronto, ON, Canada [2] Mount Sinai Hospital, Samuel Lunenfeld Research Institute, Toronto, ON, Canada
| | - D Pinto
- Departments of Psychiatry, and Genetics and Genomic Sciences, Seaver Autism Center, and the Mindich Child Health and Development Institute, Mount Sinai School of Medicine, New York, NY, USA
| | - S W Scherer
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - H Aschauer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - L Carlberg
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - A Schosser
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - L Alfredsson
- The Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - B Ding
- The Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - L Klareskog
- Rheumatology Unit, Department of Medicine at the Karolinska University Hospital, Solna, Sweden
| | - L Padyukov
- Rheumatology Unit, Department of Medicine at the Karolinska University Hospital, Solna, Sweden
| | - P Courtet
- 1] Inserm, U1061, Université Montpellier 1, Montpellier, France [2] Department of Emergency Psychiatry, CHU Montpellier, Montpellier, France
| | - S Guillaume
- 1] Inserm, U1061, Université Montpellier 1, Montpellier, France [2] Department of Emergency Psychiatry, CHU Montpellier, Montpellier, France
| | - I Jaussent
- 1] Inserm, U1061, Université Montpellier 1, Montpellier, France [2] Department of Emergency Psychiatry, CHU Montpellier, Montpellier, France
| | - C Finan
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - G Kalsi
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - M Roberts
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK
| | - D W Logan
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - L Peltonen
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - G R S Ritchie
- 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK [2] European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge
| | - J C Barrett
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - X Estivill
- 1] Genomics and Disease Group, Centre for Genomic Regulation (CRG), Barcelona, Spain [2] Universitat Pompeu Fabra (UPF), Barcelona, Spain [3] Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain [4] Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - A Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Universitätsklinikum Essen, University of Duisburg-Essen, Essen, Germany
| | - P F Sullivan
- 1] Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA [2] Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - D A Collier
- 1] Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London, UK [2] Eli Lilly and Company, Erl Wood Manor, Windlesham, UK
| | - E Zeggini
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - C M Bulik
- 1] Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA [2] Department of Nutrition, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Zeggini E, Asimit JL. An evaluation of power to detect low-frequency variant associations using allele-matching tests that account for uncertainty. Pac Symp Biocomput 2013:100-5. [PMID: 21121037 DOI: 10.1142/9789814335058_0011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
There is growing interest in the role of rare variants in multifactorial disease etiology, and increasing evidence that rare variants are associated with complex traits. Single SNP tests are underpowered in rare variant association analyses, so locus-based tests must be used. Quality scores at both the SNP and genotype level are available for sequencing data and they are rarely accounted for. A locus-based method that has high power in the presence of rare variants is extended to incorporate such quality scores as weights, and its power is compared with the original method via a simulation study. Preliminary results suggest that taking uncertainty into account does not improve the power.
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Affiliation(s)
- E Zeggini
- Wellcome Trust Sanger Institute, Hinxton, CB10 1HH, UK.
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9
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Ombrello MJ, Remmers EF, Zeggini E, Thomson W, Kastner DL, Woo P. PW01-038 – Genomewide association study of Still’s disease. Pediatr Rheumatol Online J 2013. [PMCID: PMC3952518 DOI: 10.1186/1546-0096-11-s1-a91] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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10
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Ma RCW, Hu C, Tam CH, Zhang R, Kwan P, Leung TF, Thomas GN, Go MJ, Hara K, Sim X, Ho JSK, Wang C, Li H, Lu L, Wang Y, Li JW, Wang Y, Lam VKL, Wang J, Yu W, Kim YJ, Ng DP, Fujita H, Panoutsopoulou K, Day-Williams AG, Lee HM, Ng ACW, Fang YJ, Kong APS, Jiang F, Ma X, Hou X, Tang S, Lu J, Yamauchi T, Tsui SKW, Woo J, Leung PC, Zhang X, Tang NLS, Sy HY, Liu J, Wong TY, Lee JY, Maeda S, Xu G, Cherny SS, Chan TF, Ng MCY, Xiang K, Morris AP, Keildson S, Hu R, Ji L, Lin X, Cho YS, Kadowaki T, Tai ES, Zeggini E, McCarthy MI, Hon KL, Baum L, Tomlinson B, So WY, Bao Y, Chan JCN, Jia W. Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4. Diabetologia 2013; 56:1291-305. [PMID: 23532257 PMCID: PMC3648687 DOI: 10.1007/s00125-013-2874-4] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2012] [Accepted: 01/31/2013] [Indexed: 12/18/2022]
Abstract
AIMS/HYPOTHESIS Most genetic variants identified for type 2 diabetes have been discovered in European populations. We performed genome-wide association studies (GWAS) in a Chinese population with the aim of identifying novel variants for type 2 diabetes in Asians. METHODS We performed a meta-analysis of three GWAS comprising 684 patients with type 2 diabetes and 955 controls of Southern Han Chinese descent. We followed up the top signals in two independent Southern Han Chinese cohorts (totalling 10,383 cases and 6,974 controls), and performed in silico replication in multiple populations. RESULTS We identified CDKN2A/B and four novel type 2 diabetes association signals with p < 1 × 10(-5) from the meta-analysis. Thirteen variants within these four loci were followed up in two independent Chinese cohorts, and rs10229583 at 7q32 was found to be associated with type 2 diabetes in a combined analysis of 11,067 cases and 7,929 controls (p meta = 2.6 × 10(-8); OR [95% CI] 1.18 [1.11, 1.25]). In silico replication revealed consistent associations across multiethnic groups, including five East Asian populations (p meta = 2.3 × 10(-10)) and a population of European descent (p = 8.6 × 10(-3)). The rs10229583 risk variant was associated with elevated fasting plasma glucose, impaired beta cell function in controls, and an earlier age at diagnosis for the cases. The novel variant lies within an islet-selective cluster of open regulatory elements. There was significant heterogeneity of effect between Han Chinese and individuals of European descent, Malaysians and Indians. CONCLUSIONS/INTERPRETATION Our study identifies rs10229583 near PAX4 as a novel locus for type 2 diabetes in Chinese and other populations and provides new insights into the pathogenesis of type 2 diabetes.
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Affiliation(s)
- R. C. W. Ma
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
- Hong Kong Institute of Diabetes and Obesity, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
- Li Ka Shing Institute of Life Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - C. Hu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
- Shanghai Jiao Tong University Affiliated Sixth People’s Hospital South Campus, Shanghai, People’s Republic of China
| | - C. H. Tam
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - R. Zhang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - P. Kwan
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - T. F. Leung
- Department of Paediatrics, Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - G. N. Thomas
- Department of Public Health, Epidemiology and Biostatistics, University of Birmingham, Birmingham, UK
| | - M. J. Go
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Gangoe-myeon, Yeonje-ri, Cheongwon-gun, Chungcheongbuk-do Republic of Korea
| | - K. Hara
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Department of Integrated Molecular Science on Metabolic Diseases, University of Tokyo Hospital, Tokyo, Japan
| | - X. Sim
- Centre for Molecular Epidemiology, Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI USA
| | - J. S. K. Ho
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - C. Wang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - H. Li
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - L. Lu
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Y. Wang
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - J. W. Li
- School of Life Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - Y. Wang
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - V. K. L. Lam
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - J. Wang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - W. Yu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - Y. J. Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Gangoe-myeon, Yeonje-ri, Cheongwon-gun, Chungcheongbuk-do Republic of Korea
| | - D. P. Ng
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - H. Fujita
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - K. Panoutsopoulou
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - A. G. Day-Williams
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - H. M. Lee
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - A. C. W. Ng
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - Y-J. Fang
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - A. P. S. Kong
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - F. Jiang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - X. Ma
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - X. Hou
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - S. Tang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - J. Lu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - T. Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - S. K. W. Tsui
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - J. Woo
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - P. C. Leung
- Department of Orthopaedics, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - X. Zhang
- Shanghai Jiao Tong University Affiliated Sixth People’s Hospital South Campus, Shanghai, People’s Republic of China
| | - N. L. S. Tang
- Department of Chemical Pathology, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - H. Y. Sy
- Department of Paediatrics, Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - J. Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Republic of Singapore
| | - T. Y. Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Centre for Eye Research Australia, University of Melbourne, East Melbourne, VIC Australia
| | - J. Y. Lee
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Gangoe-myeon, Yeonje-ri, Cheongwon-gun, Chungcheongbuk-do Republic of Korea
| | - S. Maeda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama, Japan
| | - G. Xu
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - S. S. Cherny
- Department of Psychiatry and State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - T. F. Chan
- School of Life Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - M. C. Y. Ng
- Center for Genomics and Personalized Medicine Research, Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC USA
| | - K. Xiang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - A. P. Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - S. Keildson
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - R. Hu
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China
| | - L. Ji
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - X. Lin
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Y. S. Cho
- Department of Biomedical Science, Hallym University, Chuncheon, Gangwon-do Republic of Korea
| | - T. Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - E. S. Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Graduate Medical School, Duke-National University of Singapore, Singapore, Republic of Singapore
| | - E. Zeggini
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - M. I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | - K. L. Hon
- Department of Paediatrics, Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - L. Baum
- School of Pharmacy, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - B. Tomlinson
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - W. Y. So
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - Y. Bao
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - J. C. N. Chan
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
- Hong Kong Institute of Diabetes and Obesity, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
- Li Ka Shing Institute of Life Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - W. Jia
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
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Kerkhof HJM, Evangelou E, Meulenbelt I, van Meurs JBJ, Zeggini E, Valdes AM. Reply to "Human genetic studies on osteoarthritis from clinicians' viewpoints". Osteoarthritis Cartilage 2012; 20:250-1; author reply 252. [PMID: 22233813 DOI: 10.1016/j.joca.2011.09.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2011] [Revised: 09/08/2011] [Accepted: 09/21/2011] [Indexed: 02/02/2023]
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Eyre S, Ke X, Lawrence R, Bowes J, Panoutsopoulou K, Barton A, Thomson W, Worthington J, Zeggini E. Examining the overlap between genome-wide rare variant association signals and linkage peaks in rheumatoid arthritis. ACTA ACUST UNITED AC 2011; 63:1522-6. [PMID: 21370227 DOI: 10.1002/art.30315] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
OBJECTIVE With the exception of the major histocompatibility complex (MHC) and STAT4, no other rheumatoid arthritis (RA) linkage peak has been successfully fine-mapped to date. This apparent failure to identify association under peaks of linkage could be ascribed to the examination of common variation, when linkage is likely to be driven by rare variants. The purpose of this study was to investigate the overlap between genome-wide rare variant RA association signals observed in the Wellcome Trust Case Control Consortium (WTCCC) study and 11 replicating RA linkage peaks, defined as regions with evidence for linkage in >1 study. METHODS The WTCCC data set contained 40,482 variants with minor allele frequency of ≤0.05 in 1,860 RA patients and 2,938 controls. Genotypes of all rare variants within a given gene region were collapsed into a single locus and a global P value was calculated per gene. RESULTS The distribution of rare variant signals (association P≤10(-5)) was found to differ significantly between regions with and without linkage evidence (P=2×10(-17) by Fisher's exact test). No significant difference was observed after data from the MHC region were removed or when the effect of the HLA-DRB1 locus was accounted for. CONCLUSION The results suggest that rare variant association signals are significantly overrepresented under linkage peaks in RA, but the effect is driven by the MHC. This is the first study to examine the overlap between linkage peaks and rare variant association signals genome-wide in a complex disease.
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Affiliation(s)
- S Eyre
- University of Manchester, Manchester, UK
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Panoutsopoulou K, Southam L, Elliott KS, Wrayner N, Zhai G, Beazley C, Thorleifsson G, Arden NK, Carr A, Chapman K, Deloukas P, Doherty M, McCaskie A, Ollier WER, Ralston SH, Spector TD, Valdes AM, Wallis GA, Wilkinson JM, Arden E, Battley K, Blackburn H, Blanco FJ, Bumpstead S, Cupples LA, Day-Williams AG, Dixon K, Doherty SA, Esko T, Evangelou E, Felson D, Gomez-Reino JJ, Gonzalez A, Gordon A, Gwilliam R, Halldorsson BV, Hauksson VB, Hofman A, Hunt SE, Ioannidis JPA, Ingvarsson T, Jonsdottir I, Jonsson H, Keen R, Kerkhof HJM, Kloppenburg MG, Koller N, Lakenberg N, Lane NE, Lee AT, Metspalu A, Meulenbelt I, Nevitt MC, O'Neill F, Parimi N, Potter SC, Rego-Perez I, Riancho JA, Sherburn K, Slagboom PE, Stefansson K, Styrkarsdottir U, Sumillera M, Swift D, Thorsteinsdottir U, Tsezou A, Uitterlinden AG, van Meurs JBJ, Watkins B, Wheeler M, Mitchell S, Zhu Y, Zmuda JM, Zeggini E, Loughlin J. Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study. Ann Rheum Dis 2010; 70:864-7. [PMID: 21177295 PMCID: PMC3070286 DOI: 10.1136/ard.2010.141473] [Citation(s) in RCA: 81] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Objectives The genetic aetiology of osteoarthritis has not yet been elucidated. To enable a well-powered genome-wide association study (GWAS) for osteoarthritis, the authors have formed the arcOGEN Consortium, a UK-wide collaborative effort aiming to scan genome-wide over 7500 osteoarthritis cases in a two-stage genome-wide association scan. Here the authors report the findings of the stage 1 interim analysis. Methods The authors have performed a genome-wide association scan for knee and hip osteoarthritis in 3177 cases and 4894 population-based controls from the UK. Replication of promising signals was carried out in silico in five further scans (44 449 individuals), and de novo in 14 534 independent samples, all of European descent. Results None of the association signals the authors identified reach genome-wide levels of statistical significance, therefore stressing the need for corroboration in sample sets of a larger size. Application of analytical approaches to examine the allelic architecture of disease to the stage 1 genome-wide association scan data suggests that osteoarthritis is a highly polygenic disease with multiple risk variants conferring small effects. Conclusions Identifying loci conferring susceptibility to osteoarthritis will require large-scale sample sizes and well-defined phenotypes to minimise heterogeneity.
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Schleinitz D, Tönjes A, Böttcher Y, Dietrich K, Enigk B, Koriath M, Scholz GH, Blüher M, Zeggini E, McCarthy MI, Kovacs P, Stumvoll M. Lack of significant effects of the type 2 diabetes susceptibility loci JAZF1, CDC123/CAMK1D, NOTCH2, ADAMTS9, THADA, and TSPAN8/LGR5 on diabetes and quantitative metabolic traits. Horm Metab Res 2010; 42:14-22. [PMID: 19670153 DOI: 10.1055/s-0029-1233480] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Recently, several novel loci reaching genome-wide significance levels for type 2 diabetes (T2D) were identified through a meta-analysis of three genome-wide scans and large-scale follow-up. The aim of our study was to investigate the association of these loci with T2D and related subphenotypes in two cohorts from Germany. We performed an association study of 9 SNPs in or around JAZF1, CDC123/ CAMK1D, NOTCH2, BCL11A, ADAMTS9, VEGFA, DCD, THADA, and TSPAN8/ LGR5 with T2D and related quantitative traits (fasting insulin and glucose, indices derived from OGTT) in the isolated population of Sorbs (205 cases and 695 controls) and in a mixed German population (Leipzig) (938 subjects with and 918 without T2D). None of the variants was associated with T2D, but the meta-analysis of both cohorts revealed a modest trend of association of rs7578597 in THADA with T2D (p=0.055). Furthermore, Sorbian subjects homozygous for the rs7578597 T-allele had lower mean 30-minute plasma insulin when compared with carriers of the C-allele (p<0.05). The T-allele was also nominally associated with higher fasting plasma glucose in the Leipzig cohort (p<0.05). Although several other SNPs showed some evidence for association with T2D-related traits the effects were not replicated within our study. Associations of the T2D-risk alleles with T2D or related subphenotypes were overall very weak in the approximately 2 700 subjects studied. This is compatible with the modest effect size of these "second sweep" variants, which will require large-scale association studies on quantitative traits to clarify their role in the pathophysiology of T2D.
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Affiliation(s)
- D Schleinitz
- Interdisciplinary Centre for Clinical Research, University of Leipzig, Leipzig 04109, Germany
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Perry JRB, Ferrucci L, Bandinelli S, Guralnik J, Semba RD, Rice N, Melzer D, Saxena R, Scott LJ, McCarthy MI, Hattersley AT, Zeggini E, Weedon MN, Frayling TM. Circulating beta-carotene levels and type 2 diabetes-cause or effect? Diabetologia 2009; 52:2117-21. [PMID: 19662379 PMCID: PMC2746424 DOI: 10.1007/s00125-009-1475-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2009] [Accepted: 07/10/2009] [Indexed: 10/20/2022]
Abstract
AIMS/HYPOTHESIS Circulating beta-carotene levels are inversely associated with risk of type 2 diabetes, but the causal direction of this association is not certain. In this study we used a Mendelian randomisation approach to provide evidence for or against the causal role of the antioxidant vitamin beta-carotene in type 2 diabetes. METHODS We used a common polymorphism (rs6564851) near the BCMO1 gene, which is strongly associated with circulating beta-carotene levels (p = 2 x 10(-24)), with each G allele associated with a 0.27 standard deviation increase in levels. We used data from the InCHIANTI and Uppsala Longitudinal Study of Adult Men (ULSAM) studies to estimate the association between beta-carotene levels and type 2 diabetes. We next used a triangulation approach to estimate the expected effect of rs6564851 on type 2 diabetes risk and compared this with the observed effect using data from 4549 type 2 diabetes patients and 5579 controls from the Diabetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium. RESULTS A 0.27 standard deviation increase in beta-carotene levels was associated with an OR of 0.90 (95% CI 0.86-0.95) for type 2 diabetes in the InCHIANTI study. This association was similar to that of the ULSAM study (OR 0.90 [0.84-0.97]). In contrast, there was no association between rs6564851 and type 2 diabetes (OR 0.98 [0.93-1.04], p = 0.58); this effect size was also smaller than that expected, given the known associations between rs6564851 and beta-carotene levels, and the associations between beta-carotene levels and type 2 diabetes. CONCLUSIONS/INTERPRETATION Our findings in this Mendelian randomisation study are in keeping with randomised controlled trials suggesting that beta-carotene is not causally protective against type 2 diabetes.
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Southam L, Soranzo N, Montgomery SB, Frayling TM, McCarthy MI, Barroso I, Zeggini E. Is the thrifty genotype hypothesis supported by evidence based on confirmed type 2 diabetes- and obesity-susceptibility variants? Diabetologia 2009; 52:1846-51. [PMID: 19526209 PMCID: PMC2723682 DOI: 10.1007/s00125-009-1419-3] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2009] [Accepted: 05/20/2009] [Indexed: 11/18/2022]
Abstract
AIMS/HYPOTHESIS According to the thrifty genotype hypothesis, the high prevalence of type 2 diabetes and obesity is a consequence of genetic variants that have undergone positive selection during historical periods of erratic food supply. The recent expansion in the number of validated type 2 diabetes- and obesity-susceptibility loci, coupled with access to empirical data, enables us to look for evidence in support (or otherwise) of the thrifty genotype hypothesis using proven loci. METHODS We employed a range of tests to obtain complementary views of the evidence for selection: we determined whether the risk allele at associated 'index' single-nucleotide polymorphisms is derived or ancestral, calculated the integrated haplotype score (iHS) and assessed the population differentiation statistic fixation index (F (ST)) for 17 type 2 diabetes and 13 obesity loci. RESULTS We found no evidence for significant differences for the derived/ancestral allele test. None of the studied loci showed strong evidence for selection based on the iHS score. We find a high F (ST) for rs7901695 at TCF7L2, the largest type 2 diabetes effect size found to date. CONCLUSIONS/INTERPRETATION Our results provide some evidence for selection at specific loci, but there are no consistent patterns of selection that provide conclusive confirmation of the thrifty genotype hypothesis. Discovery of more signals and more causal variants for type 2 diabetes and obesity is likely to allow more detailed examination of these issues.
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Affiliation(s)
- L. Southam
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Institute of Musculoskeletal Sciences, Botnar Research Centre, Nuffield Orthopaedic Centre, University of Oxford, Oxford, UK
| | - N. Soranzo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH UK
- Twin Research & Genetic Epidemiology Department, King’s College London, St Thomas’ Hospital Campus, London, UK
| | - S. B. Montgomery
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH UK
| | - T. M. Frayling
- Genetics of Complex Traits, Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK
| | - M. I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Oxford, UK
- Oxford National Institute for Health Research Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - I. Barroso
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH UK
| | - E. Zeggini
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH UK
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Rafiq S, Melzer D, Weedon MN, Lango H, Saxena R, Scott LJ, Palmer CNA, Morris AD, McCarthy MI, Ferrucci L, Hattersley AT, Zeggini E, Frayling TM. Gene variants influencing measures of inflammation or predisposing to autoimmune and inflammatory diseases are not associated with the risk of type 2 diabetes. Diabetologia 2008; 51:2205-13. [PMID: 18853133 PMCID: PMC2662689 DOI: 10.1007/s00125-008-1160-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2008] [Accepted: 08/18/2008] [Indexed: 12/17/2022]
Abstract
AIMS/HYPOTHESIS There are strong associations between measures of inflammation and type 2 diabetes, but the causal directions of these associations are not known. We tested the hypothesis that common gene variants known to alter circulating levels of inflammatory proteins, or known to alter autoimmune-related disease risk, influence type 2 diabetes risk. METHODS We selected 46 variants: (1) eight variants known to alter circulating levels of inflammatory proteins, including those in the IL18, IL1RN, IL6R, MIF, PAI1 (also known as SERPINE1) and CRP genes; and (2) 38 variants known to predispose to autoimmune diseases, including type 1 diabetes. We tested the associations of these variants with type 2 diabetes using a meta-analysis of 4,107 cases and 5,187 controls from the Wellcome Trust Case Control Consortium, the Diabetes Genetics Initiative, and the Finland-United States Investigation of NIDDM studies. We followed up associated variants (p < 0.01) in a further set of 3,125 cases and 3,596 controls from the UK. RESULTS We found no evidence that inflammatory or autoimmune disease variants are associated with type 2 diabetes (at p <or= 0.01). The OR observed between the variant altering IL-18 levels, rs2250417, and type 2 diabetes (OR 1.00 [95% CI 0.99-1.03]), is much lower than that expected given (1) the effect of the variant on IL-18 levels (0.28 SDs per allele); and (2) estimates, based on other studies, of the correlation between IL-18 levels and type 2 diabetes risk (approximate OR 1.15 [95% CI 1.09-1.21] per 0.28 SD increase in IL-18 levels). CONCLUSIONS/INTERPRETATION Our study provided no evidence that variants known to alter measures of inflammation, autoimmune or inflammatory disease risk, including type 1 diabetes, alter type 2 diabetes risk.
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Affiliation(s)
- S Rafiq
- Peninsula Medical School, University of Exeter, Magdalen Road, Exeter, EX1 2LU, UK
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Tönjes A, Zeggini E, Kovacs P, Böttcher Y, Schleinitz D, Morris AP, Enigk B, Rayner NW, Hoffmann K, Teupser D, Thiery J, Krohn K, McCarthy MI, Stumvoll M. Association of FTO variants with BMI, fat mass and waist in the isolated population of Sorbs in Germany. DIABETOL STOFFWECHS 2008. [DOI: 10.1055/s-2008-1076215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Abstract
Diabet. Med. (2007)
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Affiliation(s)
- E Zeggini
- The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
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Barber TM, Bennett AJ, Groves CJ, Sovio U, Ruokonen A, Martikainen H, Pouta A, Hartikainen AL, Elliott P, Wass JAH, Järvelin MR, Zeggini E, Franks S, McCarthy MI. Disparate genetic influences on polycystic ovary syndrome (PCOS) and type 2 diabetes revealed by a lack of association between common variants within the TCF7L2 gene and PCOS. Diabetologia 2007; 50:2318-22. [PMID: 17805508 DOI: 10.1007/s00125-007-0804-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2007] [Accepted: 07/23/2007] [Indexed: 01/28/2023]
Abstract
AIMS/HYPOTHESIS Common variants of the gene encoding transcription factor 7-like 2 (TCF7L2) have a powerful effect on individual risk of type 2 diabetes (per allele odds ratio approximately 1.35). Polycystic ovary syndrome (PCOS) and type 2 diabetes are familial conditions sharing common features. Based on this, the aim of the present study was to establish whether variation in TCF7L2 also influences the development of PCOS. METHODS We conducted a genetic association study of variants of TCF7L2 (rs7903146 and rs12255372) using both case-control and quantitative trait approaches. Case-control analyses were conducted in (1) 369 PCOS cases and 2574 controls of UK British/Irish origin, and (2) 540 women with PCOS symptoms and 1083 controls from the Northern Finland Birth Cohort of 1966. Quantitative trait analyses (androgen levels) were also performed (1249 individuals). RESULTS There was no association between rs7903146 and PCOS in the UK case-control study (Cochran-Armitage test, p = 0.51); nor with symptomatic status in the Finnish cohort (p = 0.36). In addition, there were no relationships between the TCF7L2 single nucleotide polymorphism rs7903146 and androgen levels (UK cases, p = 0.99; Finnish controls, p = 0.57; Finnish symptomatic cases, p = 0.80). Results at rs12255372 were similar, reflecting strong linkage disequilibrium with rs7903146. CONCLUSIONS/INTERPRETATION Our study was powered to detect an effect on PCOS susceptibility similar to that previously reported for these variants on type 2 diabetes. Failure to detect any evident association with PCOS provides the strongest evidence yet that the genetic architecture of these related conditions is qualitatively distinct.
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Affiliation(s)
- T M Barber
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Old Road, Headington, Oxford OX3 7LJ, UK.
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Desai M, Zeggini E, Horton VA, Owen KR, Hattersley AT, Levy JC, Walker M, Gillespie KM, Bingley PJ, Hitman GA, Holman RR, McCarthy MI, Clark A. An association analysis of the HLA gene region in latent autoimmune diabetes in adults. Diabetologia 2007; 50:68-73. [PMID: 17143607 PMCID: PMC3076207 DOI: 10.1007/s00125-006-0513-z] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2006] [Accepted: 09/19/2006] [Indexed: 11/26/2022]
Abstract
AIMS/HYPOTHESIS Pathophysiological similarities between latent autoimmune diabetes in adults (LADA) and type 1 diabetes indicate an overlap in genetic susceptibility. HLA-DRB1 and HLA-DQB1 are major susceptibility genes for type 1 diabetes but studies of these genes in LADA have been limited. Our aim was to define patterns of HLA-encoded susceptibility/protection in a large, well characterised LADA cohort, and to establish association with disease and age at diagnosis. MATERIALS AND METHODS Patients with LADA (n = 387, including 211 patients from the UK Prospective Diabetes Study) and non-diabetic control subjects (n = 327) were of British/Irish European origin. The HLA-DRB1 and -DQB1 genes were genotyped by sequence-specific PCR. RESULTS As in type 1 diabetes mellitus, DRB1 0301_DQB1 0201 (odds ratio [OR] = 3.08, 95% CI 2.32-4.12, p = 1.2 x 10(-16)) and DRB1 0401_DQB1 0302 (OR = 2.57, 95% CI 1.80-3.73, p = 4.5 x 10(-8)) were the main susceptibility haplotypes in LADA, and DRB1 1501_DQB1 0602 was protective (OR = 0.21, 95% CI 0.13-0.34, p = 4.2 x 10(-13)). Differential susceptibility was conferred by DR4 subtypes: DRB1 0401 was predisposing (OR = 1.79, 95% CI 1.35-2.38, p = 2.7 x 10(-5)) whereas DRB1 0403 was protective (OR = 0.37, 95% CI 0.13-0.97, p = 0.033). The highest-risk genotypes were DRB1 0301/DRB1 0401 and DQB1 0201/DQB1 0302 (OR = 5.14, 95% CI 2.68-10.69, p = 1.3 x 10(-8); and OR = 6.88, 95% CI 3.54-14.68, p = 1.2 x 10(-11), respectively). These genotypes and those containing DRB1 0401 and DQB1 0302 associated with a younger age at diagnosis in LADA, whereas genotypes containing DRB1 1501 and DQB1 0602 associated with an older age at diagnosis. CONCLUSIONS/INTERPRETATION Patterns of susceptibility at the HLA-DRB1 and HLA-DQB1 loci in LADA are similar to those reported for type 1 diabetes, supporting the hypothesis that autoimmune diabetes occurring in adults is an age-related extension of the pathophysiological process presenting as childhood-onset type 1 diabetes.
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Affiliation(s)
- M. Desai
- Diabetes Research Laboratories, Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Headington, Oxford OX3 7LJ, UK
| | - E. Zeggini
- Diabetes Research Laboratories, Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Headington, Oxford OX3 7LJ, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - V. A. Horton
- Diabetes Research Laboratories, Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Headington, Oxford OX3 7LJ, UK
| | - K. R. Owen
- Diabetes Research Laboratories, Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Headington, Oxford OX3 7LJ, UK
| | - A. T. Hattersley
- Institute of Biomedical and Clinical Sciences, Peninsula Medical School, Exeter, UK
| | - J. C. Levy
- Diabetes Research Laboratories, Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Headington, Oxford OX3 7LJ, UK
| | - M. Walker
- School of Clinical Medical Sciences, University of Newcastle, Newcastle, UK
| | - K. M. Gillespie
- Diabetes and Metabolism Unit, University of Bristol, Bristol, UK
| | - P. J. Bingley
- Diabetes and Metabolism Unit, University of Bristol, Bristol, UK
| | - G. A. Hitman
- Centre for Diabetes and Metabolic Medicine, Barts and The London, Queen Mary’s School of Medicine and Dentistry, London, UK
| | - R. R. Holman
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - M. I. McCarthy
- Diabetes Research Laboratories, Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Headington, Oxford OX3 7LJ, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - A. Clark
- Diabetes Research Laboratories, Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Headington, Oxford OX3 7LJ, UK,
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Affiliation(s)
- E. Zeggini
- Diabetes Research Laboratories, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LJ UK
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Headington, Oxford, OX3 7BN UK
| | - M. I. McCarthy
- Diabetes Research Laboratories, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford, OX3 7LJ UK
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Headington, Oxford, OX3 7BN UK
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Calle R, McCarthy MI, Banerjee P, Zeggini E, Cull CA, Thorne KI, Wiltshire S, Terra S, Meyer D, Richmond J, Mancuso J, Milos P, Fryburg D, Holman RR. Paraoxonase 2 (PON2) polymorphisms and development of renal dysfunction in type 2 diabetes: UKPDS 76. Diabetologia 2006; 49:2892-9. [PMID: 17096118 DOI: 10.1007/s00125-006-0436-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2006] [Accepted: 07/21/2006] [Indexed: 10/24/2022]
Abstract
AIMS/HYPOTHESIS Identification of variants predicting development of renal dysfunction would offer substantial clinical benefits. There is evidence that coding non-synonymous variants in the gene encoding paraoxonase 2 (PON2) are associated with nephropathy in both type 1 and type 2 diabetes. METHODS We examined the relationship between variation at the C311S and A148G polymorphisms (together with PON2 intronic variant rs12704795) and indices of renal dysfunction (progression to micro- and macroalbuminuria, plasma creatinine increases) in 3,374 newly diagnosed type 2 diabetic subjects from the UK Prospective Diabetes Study followed prospectively (median 14.0 years), using proportional hazards models, adjusted for sex, ethnicity and other known or putative risk factors. RESULTS rs12704795 genotypes were associated with differing rates of development of microalbuminuria (relative risk [RR] for CC vs AA homozygotes 0.68 [95% CI 0.54-0.87], p=0.002) but not other measures of worsening renal function. Heterozygotes for C311S were more likely to develop microalbuminuria (RR=1.31 [95% CI 1.11-1.54], p=0.001) but less likely to double creatinine levels during follow-up (RR=0.49 [95% CI 0.27-0.89], p=0.02). There was no corroboration of this latter association for related outcomes and no prior evidence supports heterosis effects at this locus. CONCLUSIONS/INTERPRETATION We conclude that the PON2 variants typed in this study have, at best, a small effect on the risk of renal dysfunction in type 2 diabetes.
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Affiliation(s)
- R Calle
- Pfizer Global Research & Development, Groton, CT, USA
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Zeggini E, Packham J, Donn R, Wordsworth P, Hall A, Thomson W. Association of HLA-DRB1*13 with susceptibility to uveitis in juvenile idiopathic arthritis in two independent data sets. Rheumatology (Oxford) 2006; 45:972-4. [PMID: 16495319 DOI: 10.1093/rheumatology/kel049] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES Juvenile idiopathic arthritis (JIA) is the commonest rheumatic disease of childhood. Uveitis is the commonest eye complication of JIA, potentially leading to eye surgery and/or visual loss. JIA is a complex genetic trait with well-established HLA-DRB1 associations. The aim of this study was to investigate the involvement of HLA-DRB1 in JIA-associated uveitis. METHODS A set of 130 UK Caucasian simplex families consisting of healthy parent(s) and a child affected with juvenile oligoarticular idiopathic arthritis (of which 31 had developed uveitis) had previously been screened for multiple markers in the major histocompatibility complex region. Associations with uveitis were investigated through haplotype pattern mining (HPM) and the extended transmission disequilibrium test (ETDT). A further set of 228 UK Caucasian patients with long-standing JIA were fully genotyped for HLA-DRB1 using PCR with sequence-specific primers. Associations of HLA-DRB1 alleles in patients with uveitis (n = 50) were examined individually using the chi 2 test. RESULTS In the first cohort, HPM identified significant associations of HLA-DRB1*13 with uveitis in juvenile oligoarthritis (P = 0.002). The ETDT confirmed overtransmission of this allele in the families (empirical global P = 0.018). In the second cohort, the significant association of uveitis with HLA-DRB1*13 was replicated (P = 0.0002, odds ratio 3.4, 95% confidence interval 1.7-6.5). CONCLUSIONS This study has established the HLA-DRB1*13 association with uveitis in JIA. Further work is necessary in order to explore the prognostic potential of this marker.
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Affiliation(s)
- E Zeggini
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK.
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Zeggini E, Parkinson JRC, Halford S, Owen KR, Walker M, Hitman GA, Levy JC, Sampson MJ, Frayling TM, Hattersley AT, McCarthy MI. Examining the relationships between the Pro12Ala variant in PPARG and Type 2 diabetes-related traits in UK samples. Diabet Med 2005; 22:1696-700. [PMID: 16401314 DOI: 10.1111/j.1464-5491.2005.01717.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
AIMS The Pro12Ala polymorphism in the PPARG gene alters amino acid sequence and has shown consistent association with susceptibility to Type 2 diabetes in several populations. The present study makes use of large, well-characterized case-control resources to enhance understanding of this susceptibility effect by examining related traits, such as body mass index (BMI), waist-hip ratio and age at diagnosis. METHODS The Pro12Ala variant was genotyped in two UK case samples, ascertained for positive family history and/or early onset of Type 2 diabetes (combined n=971); and in 1257 ethnically matched control subjects. RESULTS There were significant associations of the Pro12Ala single nucleotide polymorphism (SNP) genotypes with diabetes in both case-control comparisons (P=0.025 and P=0.039). Comparing individuals homozygous for the Pro allele, with those carrying an Ala allele, the combined odds ratio for diabetes was 1.40 (95% CIs, 1.12-1.76, P=0.0031). There was no association between the variant and either waist-hip ratio or age at diagnosis. Proline homozygosity was associated with increased BMI in one patient group (P=0.013) and decreased BMI in the other (P=0.038). CONCLUSIONS This study confirms that variation within PPARG influences susceptibility to Type 2 diabetes in UK samples. However, the relationship between PPARG variation and BMI is more complex, and studies in much larger sample sets will be required to more precisely characterize the effect of this variant on adiposity.
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Affiliation(s)
- E Zeggini
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Headington, Oxford, UK
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Zeggini E, Groves CJ, Parkinson JRC, Halford S, Owen KR, Frayling TM, Walker M, Hitman GA, Levy JC, O'Rahilly S, Hattersley AT, McCarthy MI. Large-scale studies of the association between variation at the TNF/LTA locus and susceptibility to type 2 diabetes. Diabetologia 2005; 48:2013-7. [PMID: 16132956 DOI: 10.1007/s00125-005-1902-4] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2004] [Accepted: 06/02/2005] [Indexed: 01/22/2023]
Abstract
AIMS/HYPOTHESIS The proinflammatory cytokine TNF-alpha has been implicated in the pathogenesis of insulin resistance and type 2 diabetes, and variation in the gene encoding TNF-alpha (TNF) has shown inconsistent associations with susceptibility to both conditions. Additionally, the coding non-synonymous variant T60N in the neighbouring LTA gene has been reported to be associated with type 2 diabetes. The present study aimed to obtain a robust assessment of the role of variation in the tightly linked TNF/LTA region in diabetes susceptibility by genotyping TNF and LTA variants in large case-control resources. MATERIALS AND METHODS The G-308A and G-238A TNF promoter variants and the LTA T60N polymorphism were genotyped in two UK case samples that were ascertained for positive family history and/or early onset of type 2 diabetes (combined n=858) and in 1,257 ethnically matched controls. RESULTS There were no significant associations between the T60N, G-308A or G-238A genotype and type 2 diabetes in the combined analysis (exact Cochran-Mantel-Haenszel statistic for ordered genotypes for T60N, p=0.69; for G-308A, p=0.51; for G-238A, p=0.16). CONCLUSIONS/INTERPRETATION The present study, one of the largest association analyses yet reported at this locus, provides no evidence that the specific TNF or LTA variants examined influence susceptibility to type 2 diabetes. More comprehensive studies of the TNF/LTA locus in substantially larger sample sets are required to establish whether genome sequence variation at this locus truly influences susceptibility to type 2 diabetes.
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Affiliation(s)
- E Zeggini
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital Site, Old Road, Headington, Oxford OX3 7LJ, UK
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Gibbons LJ, Thomson W, Zeggini E, Worthington J, Barton A, Eyre S, Donn R, Hinks A. The type 1 diabetes susceptibility gene SUMO4 at IDDM5 is not associated with susceptibility to rheumatoid arthritis or juvenile idiopathic arthritis. Rheumatology (Oxford) 2005; 44:1390-3. [PMID: 16159953 DOI: 10.1093/rheumatology/kei041] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Linkage and association of rheumatoid arthritis (RA) and rheumatoid factor (RF)-negative juvenile idiopathic arthritis (JIA) has previously been demonstrated to the type 1 diabetes (T1D) locus, IDDM5, on chromosome 6q25. An association of a methionine-to-valine polymorphism (rs237025, 163A --> G, M55V) in the SUMO4 gene within IDDM5 has recently been described in T1D. The objective of this study was to test the hypothesis that SUMO4 is a general autoimmune susceptibility gene by investigating whether the SUMO4 polymorphism is associated with RA and/or JIA. METHODS The SUMO4 SNP was genotyped in 875 RA patients, 668 JIA patients and 484 healthy controls using a TaqMan allelic discrimination assay. Allele and genotype frequencies were compared between cases and controls using the chi2 test. Analyses were also carried out with RA patients stratified by gender, age at onset, RF status, the presence of erosive disease and shared epitope status, while JIA patients were stratified by their International League of Associations for Rheumatology (ILAR) subgroup. RESULTS No deviation from Hardy-Weinberg equilibrium was detected in either set of cases or controls. No association was observed between rs237025 and RA (chi2 = 0.17, P = 0.93), or with any RA subset. Similarly, there was no association between this SNP and JIA (chi2 = 0.21, P = 0.90), or with any ILAR subgroup. CONCLUSIONS The M55V substitution in the SUMO4 gene is not associated with susceptibility to RA or JIA in the UK population studied. However, other candidate genes mapping within IDDM5 remain to be investigated.
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Affiliation(s)
- L J Gibbons
- Arthritis Research Campaign Epidemiology Unit, University of Manchester, Manchester. M13 9PT, UK.
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Liew CF, Groves CJ, Wiltshire S, Zeggini E, Frayling TM, Owen KR, Walker M, Hitman GA, Levy JC, O'rahilly S, Hattersley AT, Johnston DG, McCarthy MI. Analysis of the contribution to type 2 diabetes susceptibility of sequence variation in the gene encoding stearoyl-CoA desaturase, a key regulator of lipid and carbohydrate metabolism. Diabetologia 2004; 47:2168-75. [PMID: 15662557 DOI: 10.1007/s00125-004-1575-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2004] [Accepted: 10/02/2004] [Indexed: 10/26/2022]
Abstract
AIMS/HYPOTHESIS Stearoyl-CoA desaturase (SCD) is emerging as a key regulator of lipid and carbohydrate metabolism. Scd-null mice display a beneficial metabolic phenotype characterised by resistance to obesity, diabetes and hyperlipidaemia. The human homologue, SCD, maps to a region of chromosome 10 linked to type 2 diabetes, and SCD activity correlates with insulin sensitivity. Given this strong positional and biological candidacy, the present study sought to establish whether sequence variation in SCD influences susceptibility to type 2 diabetes and related traits. METHODS The SCD gene was resequenced in 23 diabetic subjects. Six variants within coding and adjacent sequence, including a non-synonymous SNP in exon 5 (M224L), were selected for genotyping in a primary set of 608 diabetic subjects and 600 control subjects. RESULTS There was no association (at the allele, genotype or haplotype level) with type 2 diabetes, although genotype frequencies at the +14301 A>C SNP in the 3' untranslated region showed borderline association (p~0.06) when evidence for linkage was taken into account. However, replication studies (350 young-onset diabetic patients; 747 controls) failed to confirm any relationship with diabetes for this variant. No significant associations were seen for diabetes-related traits including BMI and waist-to-hip ratio. CONCLUSIONS/INTERPRETATION The present study, the first reported analysis of this gene, indicates that the SCD variants typed do not explain chromosome-10-encoded susceptibility to type 2 diabetes. Although this study provided no evidence that SCD sequence variation influences diabetes susceptibility or related traits, SCD remains a major target for pharmaceutical and/or environmental manipulation.
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Affiliation(s)
- C F Liew
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Old Road, Oxford, OX3 7LJ, UK
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Abstract
OBJECTIVES To determine if polymorphisms within the Toll-like receptor 4 (TLR4) gene are associated and linked with juvenile idiopathic arthritis (JIA). To investigate any possible gene-gene (epistatic) interaction between TLR4 and macrophage migration inhibitory factor (MIF) gene polymorphisms. METHODS 313 simplex families (each containing one affected JIA proband) were genotyped. Two known functionally important single nucleotide polymorphisms (SNPs) within the TLR4 gene (Asp299Gly and Thr399Ile) were typed by SNaPshot ddNTP primer extension and capillary electrophoresis. Single point and multipoint transmission disequilibrium tests (TDT) were carried out through the extended TDT and TDT phase packages for the two TLR4 SNPs. Epistatic interaction between TLR4 haplotypes and the previously JIA associated MIF CATT(7)-MIF-173*C promoter haplotype was investigated by chi(2) test and unconditional logistic regression in Stata version 7. RESULTS No distortion from random inheritance was observed by single point analysis for TLR4 Asp299Gly (p = 0.89) or TLR4 Thr399Ile (p = 0.40). Similarly, no distortion in transmission was seen when the TLR4 haplotypes were studied (p = 0.54). Additionally, no evidence for gene-gene interaction between TLR4 polymorphisms and the previously associated MIF gene polymorphisms was found (p = 0.40). CONCLUSIONS No linkage or association was seen for Asp299Gly or Thr399Ile SNPs of TLR4 with JIA susceptibility. No evidence of an epistatic interaction between these TLR4 polymorphisms and MIF polymorphisms was found.
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Affiliation(s)
- R Lamb
- Arthritis Research Campaign's Epidemiology Unit, University of Manchester, UK.
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Zeggini E, Reginato AM, Prais A, Thomson W, McLean W, Donn R. Linkage and association studies of discoidin domain receptor 1 (DDR1) single nucleotide polymorphisms (SNPs) in juvenile oligoarthritis. Rheumatology (Oxford) 2004; 43:1138-41. [PMID: 15213330 DOI: 10.1093/rheumatology/keh261] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Multiple independent juvenile oligoarthritis susceptibility loci have been identified within the major histocompatibility complex (MHC), including HLA-A, HLA-DRB1 and an as yet unlocalized effect in the centromeric class I region. The discoidin domain receptor 1 (DDR1) gene resides within this region and codes for a receptor tyrosine kinase that plays an important role in regulating cell attachment to collagen, chemotaxis, proliferation and matrix metalloproteinase (MMP) production. DDR1 expression in chondrocytes has not been investigated. The objectives of this study were to investigate expression of DDR1 in healthy chondrocytes and to identify linkage and association of this candidate gene with juvenile oligoarthritis. METHODS A set of 135 simplex juvenile idiopathic arthritis families consisting of one affected child and healthy parent(s) and 199 healthy unrelated individuals were genotyped for six single nucleotide polymorphisms (SNPs) within the DDR1 gene using the primer extension SNaPshot trade mark method. Single-point and multipoint transmission disequilibrium tests were carried out with the ETDT and TDTPHASE packages. Allele frequency comparisons between cases and controls were carried out with the chi(2) test. DDR1 expression was investigated in normal articular cartilage by RT-PCR and immunofluorescence methods. RESULTS No linkage and association with any of the six SNPs or their haplotypic combinations were observed in the families studied. No significant differences were observed in allele frequencies between patients and controls. DDR1 expression was found in normal articular cartilage by RT-PCR and by immunofluorescence. CONCLUSIONS The DDR1 SNPs examined are not involved in susceptibility to juvenile oligoarthritis.
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Affiliation(s)
- E Zeggini
- WTCHG, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK.
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Barton A, Platt H, Salway F, Symmons D, Barrett E, Bukhari M, Lunt M, Zeggini E, Eyre S, Hinks A, Tellam D, Brintnell B, Ollier W, Worthington J, Silman A. Polymorphisms in the tumour necrosis factor gene are not associated with severity of inflammatory polyarthritis. Ann Rheum Dis 2004; 63:280-4. [PMID: 14962963 PMCID: PMC1754913 DOI: 10.1136/ard.2003.008680] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Tumour necrosis factor alpha (TNFalpha) is a powerful inflammatory mediator in rheumatoid and other types of inflammatory arthritis. Polymorphisms within the TNFalpha gene have previously been investigated to determine their role in the aetiopathogenesis of rheumatoid arthritis (RA), but it is unclear whether reported associations are with susceptibility to, or severity of, disease. OBJECTIVE To examine the association between both individual TNFalpha single nucleotide polymorphisms (SNPs) and haplotypes with the development and severity of erosions by 5 years in patients with inflammatory polyarthritis (IP). METHODS 438 patients from the Norfolk Arthritis Register observational inception cohort of patients with IP were x rayed 5 years after disease onset. They were genotyped for nine SNPs mapping to the TNFalpha gene, using a SNaPshot primer extension assay. Haplotypes were constructed in patients with IP, who were compared for the presence and extent of erosions at 5 years. RESULTS No association between individual TNFalpha SNPs or haplotypes in the patients who developed erosions at 5 years compared with those who remained non-erosive was found. Restricting analysis to patients who satisfied ACR criteria for RA by 5 years did not affect the conclusions. CONCLUSION The TNFalpha gene does not seem to be associated with severity as assessed by erosive outcome at 5 years in patients with IP.
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Abstract
OBJECTIVES Juvenile idiopathic arthritis (JIA) is a complex polygenic disorder. The encouraging outcome of anti-tumour necrosis factor (TNF) treatment, as well as serological studies, has implicated TNF and its receptors (TNFRI and TNFRII, or TNFRSF1B) in the pathogenesis of JIA. The purpose of this study was to investigate the exon 6 TNFRII single nucleotide polymorphism (SNP) in a well-defined UK cohort of JIA patients, using case-control association analysis. METHODS A total of 435 patients, spanning seven JIA subgroups, and 261 healthy individuals were screened for the polymorphism using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. RESULTS No significant differences were observed between the SNP allelic or genotypic frequencies of patients and controls, or between JIA subgroups. CONCLUSIONS This TNFRII exon 6 SNP does not seem to be associated with susceptibility to JIA.
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Affiliation(s)
- E Zeggini
- ARC/EU, Stopford Building, Oxford Road, Manchester M13 9PT, UK
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Abstract
BACKGROUND Our purpose is to examine levels of Fas mRNA expression in blood during human corneal transplant rejection. METHODS Fas mRNA expression was detected by reverse transcription-PCR in blood from normal controls, corneal recipients at the time of transplantation and during episodes of rejection. RESULTS Samples taken at the time of a corneal rejection episode showed Fas mRNA levels were significantly lower in these patients than either normal controls (P = 0.017) or corneal transplant recipients not undergoing graft rejection (P = 0.00052). Serial samples from five patients who suffered an episode of rejection showed that the level of Fas mRNA is reduced during the rejection episode and subsequently recovers. CONCLUSIONS These results indicate low levels of Fas mRNA in blood may have a role in corneal transplant rejection.
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Affiliation(s)
- J A Dixon
- Academic Department of Ophthalmology, University of Manchester, UK
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