1
|
Parsa A, Fuchsberger C, Köttgen A, O’Seaghdha CM, Pattaro C, de Andrade M, Chasman DI, Teumer A, Endlich K, Olden M, Chen MH, Tin A, Kim YJ, Taliun D, Li M, Feitosa M, Gorski M, Yang Q, Hundertmark C, Foster MC, Glazer N, Isaacs A, Rao M, Smith AV, O’Connell JR, Struchalin M, Tanaka T, Li G, Hwang SJ, Atkinson EJ, Lohman K, Cornelis MC, Johansson Å, Tönjes A, Dehghan A, Couraki V, Holliday EG, Sorice R, Kutalik Z, Lehtimäki T, Esko T, Deshmukh H, Ulivi S, Chu AY, Murgia F, Trompet S, Imboden M, Kollerits B, Pistis G, Harris TB, Launer LJ, Aspelund T, Eiriksdottir G, Mitchell BD, Boerwinkle E, Schmidt H, Hofer E, Hu F, Demirkan A, Oostra BA, Turner ST, Ding J, Andrews JS, Freedman BI, Giulianini F, Koenig W, Illig T, Döring A, Wichmann HE, Zgaga L, Zemunik T, Boban M, Minelli C, Wheeler HE, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Nöthlings U, Jacobs G, Biffar R, Ernst F, Homuth G, Kroemer HK, Nauck M, Stracke S, Völker U, Völzke H, Kovacs P, Stumvoll M, Mägi R, Hofman A, Uitterlinden AG, Rivadeneira F, Aulchenko YS, Polasek O, Hastie N, Vitart V, Helmer C, Wang JJ, Stengel B, Ruggiero D, Bergmann S, Kähönen M, Viikari J, Nikopensius T, Province M, Colhoun H, Doney A, Robino A, Krämer BK, Portas L, Ford I, Buckley BM, Adam M, Thun GA, Paulweber B, Haun M, Sala C, Mitchell P, Ciullo M, Vollenweider P, Raitakari O, Metspalu A, Palmer C, Gasparini P, Pirastu M, Jukema JW, Probst-Hensch NM, Kronenberg F, Toniolo D, Gudnason V, Shuldiner AR, Coresh J, Schmidt R, Ferrucci L, van Duijn CM, Borecki I, Kardia SL, Liu Y, Curhan GC, Rudan I, Gyllensten U, Wilson JF, Franke A, Pramstaller PP, Rettig R, Prokopenko I, Witteman J, Hayward C, Ridker PM, Bochud M, Heid IM, Siscovick DS, Fox CS, Kao WL, Böger CA. Common variants in Mendelian kidney disease genes and their association with renal function. J Am Soc Nephrol 2013; 24:2105-17. [PMID: 24029420 PMCID: PMC3839542 DOI: 10.1681/asn.2012100983] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [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] [Received: 10/08/2012] [Accepted: 07/10/2013] [Indexed: 12/28/2022] Open
Abstract
Many common genetic variants identified by genome-wide association studies for complex traits map to genes previously linked to rare inherited Mendelian disorders. A systematic analysis of common single-nucleotide polymorphisms (SNPs) in genes responsible for Mendelian diseases with kidney phenotypes has not been performed. We thus developed a comprehensive database of genes for Mendelian kidney conditions and evaluated the association between common genetic variants within these genes and kidney function in the general population. Using the Online Mendelian Inheritance in Man database, we identified 731 unique disease entries related to specific renal search terms and confirmed a kidney phenotype in 218 of these entries, corresponding to mutations in 258 genes. We interrogated common SNPs (minor allele frequency >5%) within these genes for association with the estimated GFR in 74,354 European-ancestry participants from the CKDGen Consortium. However, the top four candidate SNPs (rs6433115 at LRP2, rs1050700 at TSC1, rs249942 at PALB2, and rs9827843 at ROBO2) did not achieve significance in a stage 2 meta-analysis performed in 56,246 additional independent individuals, indicating that these common SNPs are not associated with estimated GFR. The effect of less common or rare variants in these genes on kidney function in the general population and disease-specific cohorts requires further research.
Collapse
Affiliation(s)
- Afshin Parsa
- Division of Nephrology, University of Maryland School of Medicine, Baltimore, Maryland
| | - Christian Fuchsberger
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Anna Köttgen
- Renal Division, Freiburg University Clinic, Freiburg, Germany
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Conall M. O’Seaghdha
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts
- Division of Nephrology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Cristian Pattaro
- Centre for Biomedicine, European Academy of Bozen/Bolzano, Bolzano, Italy
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Karlhans Endlich
- Institute of Anatomy and Cell Biology, University of Greifswald, Greifswald, Germany
| | - Matthias Olden
- Division of Nephrology, Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Ming-Huei Chen
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Young J. Kim
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
- Genomics Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
| | - Daniel Taliun
- Centre for Biomedicine, European Academy of Bozen/Bolzano, Bolzano, Italy
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Mary Feitosa
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri
| | - Mathias Gorski
- Division of Nephrology, Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | | | - Meredith C. Foster
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts
| | - Nicole Glazer
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Centre for Medical Systems Biology, Rotterdam, The Netherlands
| | - Madhumathi Rao
- Division of Nephrology, Tufts Evidence Practice Center, Tufts University School of Medicine, Tufts Medical Center, Boston, Massachusetts
| | - Albert V. Smith
- Research Institute, Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Jeffrey R. O’Connell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Maksim Struchalin
- Departments of Epidemiology and Biostatistics and Forensic Molecular Biology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute of Aging, Baltimore Maryland
| | - Guo Li
- University of Washington, Seattle, Washington
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts
| | - Elizabeth J. Atkinson
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Kurt Lohman
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Marilyn C. Cornelis
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Åsa Johansson
- Rudbeck Laboratory, Department of Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Anke Tönjes
- Department of Medicine, University of Leipzig, Leipzig, Germany
- Adiposity Diseases Integrated Research and Treatment Center, University of Leipzig, Leipzig, Germany
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Elizabeth G. Holliday
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
- Centre for Information-Based Medicine, Hunter Medical Research Institute, Newcastle, Australia
| | - Rossella Sorice
- Adriano-Buzzati Traverso-CNR Institute of Genetics and Biophysics, Naples, Italy
| | - Zoltan Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Terho Lehtimäki
- Fimlab Laboratories, Department of Clinical Chemistry, School of Medicine, University of Tampere, Tampere, Finland
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, Estonian Biocentre, University of Tartu, Tartu, Estonia
| | - Harshal Deshmukh
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, University of Dundee, Ninewells Hospital, Dundee, United Kingdom
| | - Sheila Ulivi
- IRCCS Burlo Garofolo Institute for Maternal and Child Health, University of Trieste, Trieste, Italy
| | - Audrey Y. Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland
| | - Thor Aspelund
- Research Institute, Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | | | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas
| | - Helena Schmidt
- Austrian Stroke Prevention Study, Department of Neurology, Institute of Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - Edith Hofer
- Austrian Stroke Prevention Study, Clinical Division of Neurogeriatrics, Department of Neurology, University Clinic of Neurology, Medical University of Graz, Graz, Austria
| | - Frank Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Ayse Demirkan
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ben A. Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Stephen T. Turner
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | - Jingzhong Ding
- Division of Geriatrics, Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Jeanette S. Andrews
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Barry I. Freedman
- Division of Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Wolfgang Koenig
- Department of Internal Medicine II, Ulm University Clinic, University of Ulm, Ulm, Germany
| | - Thomas Illig
- Hanover Unified Biobank, Hanover Medical School, Hanover, Germany
- Research Unit of Molecular Epidemiology, German Research Center for Environmental Health, Neuherberg, Germany
| | - Angela Döring
- Institute of Epidemiology I and II, German Research Center for Environmental Health, Neuherberg, Germany
| | - H.-Erich Wichmann
- Institute of Epidemiology I and II, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-University, Munich, Germany
- Grosshadern Clinic, Neuherberg, Germany
| | - Lina Zgaga
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - Tatijana Zemunik
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Mladen Boban
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Cosetta Minelli
- Centre for Biomedicine, European Academy of Bozen/Bolzano, Bolzano, Italy
| | - Heather E. Wheeler
- Department of Genetics, Stanford University, Stanford, California
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Wilmar Igl
- Rudbeck Laboratory, Department of Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Ghazal Zaboli
- Rudbeck Laboratory, Department of Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Sarah H. Wild
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - Alan F. Wright
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Harry Campbell
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Ute Nöthlings
- PopGen Biobank, Schleswig-Holstein University Hospital, Kiel, Germany
- Institute for Epidemiology, University of Kiel, Kiel, Germany
- Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany
| | - Gunnar Jacobs
- PopGen Biobank, Schleswig-Holstein University Hospital, Kiel, Germany
- Institute for Epidemiology, University of Kiel, Kiel, Germany
| | - Reiner Biffar
- Clinic for Prosthodontic Dentistry, Gerostomatology, and Material Science, University of Greifswald, Greifswald, Germany
| | - Florian Ernst
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Heyo K. Kroemer
- Institute of Pharmacology, University of Greifswald, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University of Greifswald, Greifswald, Germany
| | - Sylvia Stracke
- Clinic for Internal Medicine A, University of Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Peter Kovacs
- Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, Leipzig, Germany
- Adiposity Diseases Integrated Research and Treatment Center, University of Leipzig, Leipzig, Germany
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ozren Polasek
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Nick Hastie
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Catherine Helmer
- INSERM U897, Institute of Public Health, Victor Segalen Bordeaux II University, Bordeaux, France
- Victor Segalen Bordeaux II University, Bordeaux, France
| | - Jie Jin Wang
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
- Centre for Eye Research Australia, University of Melbourne, East Melbourne, Australia
| | - Bénédicte Stengel
- INSERM UMRS 1018, Villejuif, France
- UMRS 1018, University of Paris-Sud, Paris, France
| | - Daniela Ruggiero
- Adriano-Buzzati Traverso-CNR Institute of Genetics and Biophysics, Naples, Italy
| | - Sven Bergmann
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, School of Medicine, University of Tampere, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, Turku University Hospital, University of Turku, Turku, Finland
| | - Tiit Nikopensius
- Institute of Molecular and Cell Biology, Estonian Biocentre, University of Tartu, Tartu, Estonia
| | - Michael Province
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri
| | - Helen Colhoun
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, University of Dundee, Ninewells Hospital, Dundee, United Kingdom
| | - Alex Doney
- National Health Service Tayside, Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, Dundee, United Kingdom
| | - Antonietta Robino
- IRCCS Burlo Garofolo Institute for Maternal and Child Health, University of Trieste, Trieste, Italy
| | - Bernhard K. Krämer
- Fifth Department of Medicine, Mannheim University Medical Centre, Mannheim, Germany
| | - Laura Portas
- CNR Institute of Population Genetics, Sassari, Italy
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - Brendan M. Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Martin Adam
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Gian-Andri Thun
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Paul Mitchell
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
| | - Marina Ciullo
- Adriano-Buzzati Traverso-CNR Institute of Genetics and Biophysics, Naples, Italy
| | - Peter Vollenweider
- Department of Internal Medicine, Vaudois University Hospital Center, University of Lausanne, Lausanne, Switzerland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, Estonian Biocentre, University of Tartu, Tartu, Estonia
| | - Colin Palmer
- Biomedical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee, United Kingdom
| | - Paolo Gasparini
- IRCCS Burlo Garofolo Institute for Maternal and Child Health, University of Trieste, Trieste, Italy
| | - Mario Pirastu
- CNR Institute of Population Genetics, Sassari, Italy
| | - J. Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
| | - Nicole M. Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
- CNR Institute of Molecular Genetics, Pavia, Italy
| | - Vilmundur Gudnason
- Research Institute, Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Alan R. Shuldiner
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
- Geriatric Research and Education Clinical Center, Veterans Affairs Medical Center, Baltimore, Maryland
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland
| | - Reinhold Schmidt
- Austrian Stroke Prevention Study, Clinical Division of Neurogeriatrics, Department of Neurology, University Clinic of Neurology, Medical University of Graz, Graz, Austria
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute of Aging, Baltimore Maryland
| | - Cornelia M. van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Centre for Medical Systems Biology, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging, Netherlands Genomics Initiative, Leiden, the Netherlands
| | - Ingrid Borecki
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri
| | - Sharon L.R. Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Gary C. Curhan
- Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Igor Rudan
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - Ulf Gyllensten
- Rudbeck Laboratory, Department of Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - James F. Wilson
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, Scotland, United Kingdom
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | | | - Rainer Rettig
- Institute of Physiology, University of Greifswald, Karlsburg, Germany
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, United Kingdom
| | - Jacqueline Witteman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Vaudois University Hospital Center, University of Lausanne, Lausanne, Switzerland
| | - Iris M. Heid
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; and
| | | | - Caroline S. Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts
- Division of Endocrinology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - W. Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland
| | - Carsten A. Böger
- Division of Nephrology, Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| |
Collapse
|
2
|
Köttgen A, Albrecht E, Teumer A, Vitart V, Krumsiek J, Hundertmark C, Pistis G, Ruggiero D, O'Seaghdha CM, Haller T, Yang Q, Tanaka T, Johnson AD, Kutalik Z, Smith AV, Shi J, Struchalin M, Middelberg RPS, Brown MJ, Gaffo AL, Pirastu N, Li G, Hayward C, Zemunik T, Huffman J, Yengo L, Zhao JH, Demirkan A, Feitosa MF, Liu X, Malerba G, Lopez LM, van der Harst P, Li X, Kleber ME, Hicks AA, Nolte IM, Johansson A, Murgia F, Wild SH, Bakker SJL, Peden JF, Dehghan A, Steri M, Tenesa A, Lagou V, Salo P, Mangino M, Rose LM, Lehtimäki T, Woodward OM, Okada Y, Tin A, Müller C, Oldmeadow C, Putku M, Czamara D, Kraft P, Frogheri L, Thun GA, Grotevendt A, Gislason GK, Harris TB, Launer LJ, McArdle P, Shuldiner AR, Boerwinkle E, Coresh J, Schmidt H, Schallert M, Martin NG, Montgomery GW, Kubo M, Nakamura Y, Tanaka T, Munroe PB, Samani NJ, Jacobs DR, Liu K, D'Adamo P, Ulivi S, Rotter JI, Psaty BM, Vollenweider P, Waeber G, Campbell S, Devuyst O, Navarro P, Kolcic I, Hastie N, Balkau B, Froguel P, Esko T, Salumets A, Khaw KT, Langenberg C, Wareham NJ, Isaacs A, Kraja A, Zhang Q, Wild PS, Scott RJ, Holliday EG, Org E, Viigimaa M, Bandinelli S, Metter JE, Lupo A, Trabetti E, Sorice R, Döring A, Lattka E, Strauch K, Theis F, Waldenberger M, Wichmann HE, Davies G, Gow AJ, Bruinenberg M, Stolk RP, Kooner JS, Zhang W, Winkelmann BR, Boehm BO, Lucae S, Penninx BW, Smit JH, Curhan G, Mudgal P, Plenge RM, Portas L, Persico I, Kirin M, Wilson JF, Mateo Leach I, van Gilst WH, Goel A, Ongen H, Hofman A, Rivadeneira F, Uitterlinden AG, Imboden M, von Eckardstein A, Cucca F, Nagaraja R, Piras MG, Nauck M, Schurmann C, Budde K, Ernst F, Farrington SM, Theodoratou E, Prokopenko I, Stumvoll M, Jula A, Perola M, Salomaa V, Shin SY, Spector TD, Sala C, Ridker PM, Kähönen M, Viikari J, Hengstenberg C, Nelson CP, Meschia JF, Nalls MA, Sharma P, Singleton AB, Kamatani N, Zeller T, Burnier M, Attia J, Laan M, Klopp N, Hillege HL, Kloiber S, Choi H, Pirastu M, Tore S, Probst-Hensch NM, Völzke H, Gudnason V, Parsa A, Schmidt R, Whitfield JB, Fornage M, Gasparini P, Siscovick DS, Polašek O, Campbell H, Rudan I, Bouatia-Naji N, Metspalu A, Loos RJF, van Duijn CM, Borecki IB, Ferrucci L, Gambaro G, Deary IJ, Wolffenbuttel BHR, Chambers JC, März W, Pramstaller PP, Snieder H, Gyllensten U, Wright AF, Navis G, Watkins H, Witteman JCM, Sanna S, Schipf S, Dunlop MG, Tönjes A, Ripatti S, Soranzo N, Toniolo D, Chasman DI, Raitakari O, Kao WHL, Ciullo M, Fox CS, Caulfield M, Bochud M, Gieger C. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat Genet 2012; 45:145-54. [PMID: 23263486 DOI: 10.1038/ng.2500] [Citation(s) in RCA: 574] [Impact Index Per Article: 47.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2012] [Accepted: 11/27/2012] [Indexed: 12/13/2022]
Abstract
Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4). Associations for many of the loci were of similar magnitude in individuals of non-European ancestry. We further characterized these loci for associations with gout, transcript expression and the fractional excretion of urate. Network analyses implicate the inhibins-activins signaling pathways and glucose metabolism in systemic urate control. New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.
Collapse
Affiliation(s)
- Anna Köttgen
- Renal Division, Freiburg University Hospital, Freiburg, Germany.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
3
|
Chasman DI, Fuchsberger C, Pattaro C, Teumer A, Böger CA, Endlich K, Olden M, Chen MH, Tin A, Taliun D, Li M, Gao X, Gorski M, Yang Q, Hundertmark C, Foster MC, O'Seaghdha CM, Glazer N, Isaacs A, Liu CT, Smith AV, O'Connell JR, Struchalin M, Tanaka T, Li G, Johnson AD, Gierman HJ, Feitosa MF, Hwang SJ, Atkinson EJ, Lohman K, Cornelis MC, Johansson A, Tönjes A, Dehghan A, Lambert JC, Holliday EG, Sorice R, Kutalik Z, Lehtimäki T, Esko T, Deshmukh H, Ulivi S, Chu AY, Murgia F, Trompet S, Imboden M, Coassin S, Pistis G, Harris TB, Launer LJ, Aspelund T, Eiriksdottir G, Mitchell BD, Boerwinkle E, Schmidt H, Cavalieri M, Rao M, Hu F, Demirkan A, Oostra BA, de Andrade M, Turner ST, Ding J, Andrews JS, Freedman BI, Giulianini F, Koenig W, Illig T, Meisinger C, Gieger C, Zgaga L, Zemunik T, Boban M, Minelli C, Wheeler HE, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Nöthlings U, Jacobs G, Biffar R, Ernst F, Homuth G, Kroemer HK, Nauck M, Stracke S, Völker U, Völzke H, Kovacs P, Stumvoll M, Mägi R, Hofman A, Uitterlinden AG, Rivadeneira F, Aulchenko YS, Polasek O, Hastie N, Vitart V, Helmer C, Wang JJ, Stengel B, Ruggiero D, Bergmann S, Kähönen M, Viikari J, Nikopensius T, Province M, Ketkar S, Colhoun H, Doney A, Robino A, Krämer BK, Portas L, Ford I, Buckley BM, Adam M, Thun GA, Paulweber B, Haun M, Sala C, Mitchell P, Ciullo M, Kim SK, Vollenweider P, Raitakari O, Metspalu A, Palmer C, Gasparini P, Pirastu M, Jukema JW, Probst-Hensch NM, Kronenberg F, Toniolo D, Gudnason V, Shuldiner AR, Coresh J, Schmidt R, Ferrucci L, Siscovick DS, van Duijn CM, Borecki IB, Kardia SLR, Liu Y, Curhan GC, Rudan I, Gyllensten U, Wilson JF, Franke A, Pramstaller PP, Rettig R, Prokopenko I, Witteman J, Hayward C, Ridker PM, Parsa A, Bochud M, Heid IM, Kao WHL, Fox CS, Köttgen A. Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function. Hum Mol Genet 2012; 21:5329-43. [PMID: 22962313 DOI: 10.1093/hmg/dds369] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
In conducting genome-wide association studies (GWAS), analytical approaches leveraging biological information may further understanding of the pathophysiology of clinical traits. To discover novel associations with estimated glomerular filtration rate (eGFR), a measure of kidney function, we developed a strategy for integrating prior biological knowledge into the existing GWAS data for eGFR from the CKDGen Consortium. Our strategy focuses on single nucleotide polymorphism (SNPs) in genes that are connected by functional evidence, determined by literature mining and gene ontology (GO) hierarchies, to genes near previously validated eGFR associations. It then requires association thresholds consistent with multiple testing, and finally evaluates novel candidates by independent replication. Among the samples of European ancestry, we identified a genome-wide significant SNP in FBXL20 (P = 5.6 × 10(-9)) in meta-analysis of all available data, and additional SNPs at the INHBC, LRP2, PLEKHA1, SLC3A2 and SLC7A6 genes meeting multiple-testing corrected significance for replication and overall P-values of 4.5 × 10(-4)-2.2 × 10(-7). Neither the novel PLEKHA1 nor FBXL20 associations, both further supported by association with eGFR among African Americans and with transcript abundance, would have been implicated by eGFR candidate gene approaches. LRP2, encoding the megalin receptor, was identified through connection with the previously known eGFR gene DAB2 and extends understanding of the megalin system in kidney function. These findings highlight integration of existing genome-wide association data with independent biological knowledge to uncover novel candidate eGFR associations, including candidates lacking known connections to kidney-specific pathways. The strategy may also be applicable to other clinical phenotypes, although more testing will be needed to assess its potential for discovery in general.
Collapse
Affiliation(s)
- Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
4
|
Pattaro C, Köttgen A, Teumer A, Garnaas M, Böger CA, Fuchsberger C, Olden M, Chen MH, Tin A, Taliun D, Li M, Gao X, Gorski M, Yang Q, Hundertmark C, Foster MC, O'Seaghdha CM, Glazer N, Isaacs A, Liu CT, Smith AV, O'Connell JR, Struchalin M, Tanaka T, Li G, Johnson AD, Gierman HJ, Feitosa M, Hwang SJ, Atkinson EJ, Lohman K, Cornelis MC, Johansson Å, Tönjes A, Dehghan A, Chouraki V, Holliday EG, Sorice R, Kutalik Z, Lehtimäki T, Esko T, Deshmukh H, Ulivi S, Chu AY, Murgia F, Trompet S, Imboden M, Kollerits B, Pistis G, Harris TB, Launer LJ, Aspelund T, Eiriksdottir G, Mitchell BD, Boerwinkle E, Schmidt H, Cavalieri M, Rao M, Hu FB, Demirkan A, Oostra BA, de Andrade M, Turner ST, Ding J, Andrews JS, Freedman BI, Koenig W, Illig T, Döring A, Wichmann HE, Kolcic I, Zemunik T, Boban M, Minelli C, Wheeler HE, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Nöthlings U, Jacobs G, Biffar R, Endlich K, Ernst F, Homuth G, Kroemer HK, Nauck M, Stracke S, Völker U, Völzke H, Kovacs P, Stumvoll M, Mägi R, Hofman A, Uitterlinden AG, Rivadeneira F, Aulchenko YS, Polasek O, Hastie N, Vitart V, Helmer C, Wang JJ, Ruggiero D, Bergmann S, Kähönen M, Viikari J, Nikopensius T, Province M, Ketkar S, Colhoun H, Doney A, Robino A, Giulianini F, Krämer BK, Portas L, Ford I, Buckley BM, Adam M, Thun GA, Paulweber B, Haun M, Sala C, Metzger M, Mitchell P, Ciullo M, Kim SK, Vollenweider P, Raitakari O, Metspalu A, Palmer C, Gasparini P, Pirastu M, Jukema JW, Probst-Hensch NM, Kronenberg F, Toniolo D, Gudnason V, Shuldiner AR, Coresh J, Schmidt R, Ferrucci L, Siscovick DS, van Duijn CM, Borecki I, Kardia SLR, Liu Y, Curhan GC, Rudan I, Gyllensten U, Wilson JF, Franke A, Pramstaller PP, Rettig R, Prokopenko I, Witteman JCM, Hayward C, Ridker P, Parsa A, Bochud M, Heid IM, Goessling W, Chasman DI, Kao WHL, Fox CS. Genome-wide association and functional follow-up reveals new loci for kidney function. PLoS Genet 2012; 8:e1002584. [PMID: 22479191 PMCID: PMC3315455 DOI: 10.1371/journal.pgen.1002584] [Citation(s) in RCA: 152] [Impact Index Per Article: 12.7] [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] [Subscribe] [Scholar Register] [Received: 10/01/2011] [Accepted: 01/22/2012] [Indexed: 01/06/2023] Open
Abstract
Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.
Collapse
Affiliation(s)
- Cristian Pattaro
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Renal Division, Freiburg University Clinic, Freiburg, Germany
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Maija Garnaas
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Carsten A. Böger
- Department of Internal Medicine II, University Medical Center Regensburg, Regensburg, Germany
| | - Christian Fuchsberger
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Matthias Olden
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
- Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany
| | - Ming-Huei Chen
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Daniel Taliun
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Man Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Xiaoyi Gao
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Mathias Gorski
- Department of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | | | - Meredith C. Foster
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Conall M. O'Seaghdha
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
- Division of Nephrology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nicole Glazer
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Centre for Medical Systems Biology, Leiden, The Netherlands
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Albert V. Smith
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Jeffrey R. O'Connell
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Maksim Struchalin
- Department of Epidemiology and Biostatistics and Department of Forensic Molecular Biology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute of Aging, Baltimore, Maryland, United States of America
| | - Guo Li
- University of Washington, Seattle, Washington, United States of America
| | - Andrew D. Johnson
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Hinco J. Gierman
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
| | - Mary Feitosa
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
| | - Elizabeth J. Atkinson
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Kurt Lohman
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Marilyn C. Cornelis
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Åsa Johansson
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Anke Tönjes
- Department of Medicine, University of Leipzig, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Elizabeth G. Holliday
- Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
- Centre for Information-based Medicine, Hunter Medical Research Institute, Newcastle, Australia
| | - Rossella Sorice
- Institute of Genetics and Biophysics “Adriano-Buzzati Traverso”–CNR, Napoli, Italy
| | - Zoltan Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, University of Tampere and Tampere University Hospital, Centre for Laboratory Medicine Tampere Finn-Medi 2, Tampere, Finland
| | - Tõnu Esko
- Estonian Genome Center of University of Tartu (EGCUT), Tartu, Estonia
- Estonian Biocenter and Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Harshal Deshmukh
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Sheila Ulivi
- Institute for Maternal and Child Health – IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Audrey Y. Chu
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | | | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Medea Imboden
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | | | | | | | | | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, NIA, Bethesda, Maryland, United States of America
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, NIA, Bethesda, Maryland, United States of America
| | - Thor Aspelund
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | | | - Braxton D. Mitchell
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Helena Schmidt
- Austrian Stroke Prevention Study, Institute of Molecular Biology and Biochemistry and Department of Neurology, Medical University Graz, Graz, Austria
| | - Margherita Cavalieri
- Austrian Stroke Prevention Study, University Clinic of Neurology, Department of Special Neurology, Medical University Graz, Graz, Austria
| | - Madhumathi Rao
- Division of Nephrology/Tufts Evidence Practice Center, Tufts University School of Medicine, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Frank B. Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Ayse Demirkan
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ben A. Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Stephen T. Turner
- Department of Internal Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Jingzhong Ding
- Department of Internal Medicine/Geriatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Jeanette S. Andrews
- Department of Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Barry I. Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | | | - Thomas Illig
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Angela Döring
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - H.-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Grosshadern, Neuherberg, Germany
| | - Ivana Kolcic
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Tatijana Zemunik
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Mladen Boban
- Croatian Centre for Global Health, University of Split Medical School, Split, Croatia
| | - Cosetta Minelli
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Heather E. Wheeler
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Department of Medicine, University of Chicago, Chicago, Illinois, United States of America
| | - Wilmar Igl
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Ghazal Zaboli
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Sarah H. Wild
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Alan F. Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Harry Campbell
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Ute Nöthlings
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
- popgen Biobank, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Gunnar Jacobs
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
- popgen Biobank, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Reiner Biffar
- Clinic for Prosthodontic Dentistry, Gerostomatology, and Material Science, University of Greifswald, Greifswald, Germany
| | - Karlhans Endlich
- Institute of Anatomy and Cell Biology, University of Greifswald, Greifswald, Germany
| | - Florian Ernst
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Heyo K. Kroemer
- Institute of Pharmacology, University of Greifswald, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Sylvia Stracke
- Clinic for Internal Medicine A, University of Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Peter Kovacs
- Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Reedik Mägi
- Estonian Genome Center of University of Tartu (EGCUT), Tartu, Estonia
- Wellcome Trust Centre for Human Genetics and Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, United Kingdom
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Andre G. Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ozren Polasek
- Croatian Centre for Global Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Nick Hastie
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Catherine Helmer
- INSERM U897, Université Victor Ségalen Bordeaux 2, ISPED, Bordeaux, France
- Université Bordeaux 2 Victor Segalen, Bordeaux, France
| | - Jie Jin Wang
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
- Centre for Eye Research Australia (CERA), University of Melbourne, Melbourne, Australia
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics “Adriano-Buzzati Traverso”–CNR, Napoli, Italy
| | - Sven Bergmann
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Tiit Nikopensius
- Estonian Biocenter and Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Michael Province
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Shamika Ketkar
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Helen Colhoun
- Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Alex Doney
- NHS Tayside, Wellcome Trust Centre for Molecular Medicine, Clinical Research Centre, Ninewells Hospital, University of Dundee, Dundee, United Kingdom
| | - Antonietta Robino
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo,” University of Trieste, Trieste, Italy
| | - Franco Giulianini
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Bernhard K. Krämer
- University Medical Centre Mannheim, 5th Department of Medicine, Mannheim, Germany
| | - Laura Portas
- Institute of Population Genetics – CNR, Sassari, Italy
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - Brendan M. Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Martin Adam
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Gian-Andri Thun
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Medical University, Salzburg, Austria
| | - Margot Haun
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Marie Metzger
- Inserm UMRS 1018, CESP Team 10, Université Paris Sud, Villejuif, France
| | - Paul Mitchell
- Centre for Vision Research, Westmead Millennium Institute, Westmead Hospital, University of Sydney, Sydney, Australia
| | - Marina Ciullo
- Institute of Genetics and Biophysics “Adriano-Buzzati Traverso”–CNR, Napoli, Italy
| | - Stuart K. Kim
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, Department of Clinical Physiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Andres Metspalu
- Estonian Genome Center of University of Tartu (EGCUT), Tartu, Estonia
- Estonian Biocenter and Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Colin Palmer
- Biomedical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom
| | - Paolo Gasparini
- Institute for Maternal and Child Health, IRCCS “Burlo Garofolo,” University of Trieste, Trieste, Italy
| | - Mario Pirastu
- Institute of Population Genetics – CNR, Sassari, Italy
| | - J. Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands (ICIN), Utrecht, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
| | - Nicole M. Probst-Hensch
- Unit of Chronic Disease Epidemiology, Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Innsbruck Medical University, Innsbruck, Austria
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - Vilmundur Gudnason
- Icelandic Heart Association, Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Alan R. Shuldiner
- Department of Medicine, University of Maryland Medical School, Baltimore, Maryland, United States of America
- Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, Maryland, United States of America
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland, United States of America
| | - Reinhold Schmidt
- Austrian Stroke Prevention Study, University Clinic of Neurology, Department of Special Neurology, Medical University Graz, Graz, Austria
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute of Aging, Baltimore, Maryland, United States of America
| | | | - Cornelia M. van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ingrid Borecki
- Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Gary C. Curhan
- Brigham and Women's Hospital and Channing Laboratory, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Igor Rudan
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Ulf Gyllensten
- Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - James F. Wilson
- Center for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, United Kingdom
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany
| | - Peter P. Pramstaller
- Institute of Genetic Medicine, European Academy of Bozen/Bolzano (EURAC) and Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Rainer Rettig
- Institute of Physiology, University of Greifswald, Greifswald, Germany
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics and Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, United Kingdom
| | | | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Paul Ridker
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Afshin Parsa
- Division of Nephrology, University of Maryland Medical School, Baltimore, Maryland, United States of America
| | - Murielle Bochud
- University Institute of Social and Preventive Medicine, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Epalinges, Switzerland
| | - Iris M. Heid
- Department of Epidemiology and Preventive Medicine, University Hospital Regensburg, Regensburg, Germany
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Wolfram Goessling
- Divisions of Genetics and Gastroenterology, Department of Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, United States of America
| | - Daniel I. Chasman
- Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - W. H. Linda Kao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland, United States of America
| | - Caroline S. Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, Massachusetts, United States of America
- Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| |
Collapse
|
5
|
Reinl T, Nimtz M, Hundertmark C, Johl T, Kéri G, Wehland J, Daub H, Jänsch L. Quantitative phosphokinome analysis of the Met pathway activated by the invasin internalin B from Listeria monocytogenes. Mol Cell Proteomics 2009; 8:2778-95. [PMID: 19640851 DOI: 10.1074/mcp.m800521-mcp200] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Stimulated by its physiological ligand, hepatocyte growth factor, the transmembrane receptor tyrosine kinase Met activates a signaling machinery that leads to mitogenic, motogenic, and morphogenic responses. Remarkably, the food-borne human pathogen Listeria monocytogenes also promotes autophosphorylation of Met through its virulence factor internalin B (InlB) and subsequently exploits Met signaling to induce phagocytosis into a broad range of host cells. Although the interaction between InlB and Met has been studied in detail, the signaling specificity of components involved in InlB-triggered cellular responses remains poorly characterized. The analysis of regulated phosphorylation events on protein kinases is therefore of particular relevance, although this could not as yet be characterized systematically by proteomics. Here, we implemented a new pyridopyrimidine-based strategy that enabled the efficient capture of a considerable subset of the human kinome in a robust one-step affinity chromatographic procedure. Additionally, and to gain functional insights into the InlB/Met-induced bacterial invasion process, a quantitative survey of the phosphorylation pattern of these protein kinases was accomplished. In total, the experimental design of this study comprises affinity chromatographic procedures for the systematic enrichment of kinases, as well as phosphopeptides; the quantification of all peptides based on the iTRAQ reporter system; and a rational statistical strategy to evaluate the quality of phosphosite regulations. With this improved chemical proteomics strategy, we determined and relatively quantified 143 phosphorylation sites detected on 94 human protein kinases. Interestingly, InlB-mediated signaling shows striking similarities compared with the natural ligand hepatocyte growth factor that was intensively studied in the past. In addition, this systematic approach suggests a new subset of protein kinases including Nek9, which are differentially phosphorylated after short time (4-min) treatment of cells with the Met-activating InlB(321). Thus, this quantitative phosphokinome study suggests a general, hypothesis-free concept for the detection of dynamically regulated protein kinases as novel signaling components involved in host-pathogen interactions.
Collapse
Affiliation(s)
- Tobias Reinl
- Department of Cell Biology, Helmholtz Centre for Infection Research, 38124 Braunschweig, Germany
| | | | | | | | | | | | | | | |
Collapse
|
6
|
Hundertmark C, Fischer R, Reinl T, May S, Klawonn F, Jänsch L. MS-specific noise model reveals the potential of iTRAQ in quantitative proteomics. Bioinformatics 2008; 25:1004-11. [DOI: 10.1093/bioinformatics/btn551] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
7
|
Choi C, Hundertmark C, Thielen B, Benkert B, Münch R, Schobert M, Schomburg D, Jahn D, Klawonn F. Analysis of metabolome data by a maximum likelihood approach. BMC Syst Biol 2007. [DOI: 10.1186/1752-0509-1-s1-p20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
|
8
|
Sun J, Wang W, Hundertmark C, Zeng AP, Jahn D, Deckwer WD. A protein database constructed from low-coverage genomic sequence of Bacillus megaterium and its use for accelerated proteomic analysis. J Biotechnol 2006; 124:486-95. [PMID: 16567015 DOI: 10.1016/j.jbiotec.2006.01.033] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2005] [Revised: 12/27/2005] [Accepted: 01/13/2006] [Indexed: 11/18/2022]
Abstract
Peptide mass fingerprint (PMF) matching is a high-throughput method used for protein spot identification in connection with two-dimensional gel electrophoresis (2DE). However, the success of PMF matching largely depends on whether the proteins to be identified exist in the database searched. Consequently, it is often necessary to apply other more sophisticated but also time-consuming technologies to generate sequence-tags for definitive protein identification. On the other hand, modern sequencing technologies are generating a large quantity of DNA sequences, first in unfinished form or with low genome coverage due to the time-consuming and thus limiting steps of finishing and annotation. We recently started to sequence the genome of Bacillus megaterium DSM 319, a bacterium of industrial interest. In this study, we demonstrate that a protein database generated from merely three-fold coverage, unfinished genomic sequences of this bacterium allows a fast and reliable protein spot identification solely based on PMF from high-throughput MALDI-TOF MS analysis. We further show that the strain-specific protein database from low coverage genomic sequence greatly outperforms the commonly used cross-species databases constructed from 13 completely sequenced Bacillus strains for protein spot identification via PMF.
Collapse
Affiliation(s)
- Jibin Sun
- Group Systems Biology, GBF-German Research Center for Biotechnology, Mascheroder Weg 1, 38124 Braunschweig, Germany
| | | | | | | | | | | |
Collapse
|
9
|
Abstract
We developed JVirGel, a collection of tools for the simulation and analysis of proteomics data. The software creates and visualizes virtual two-dimensional (2D) protein gels based on the migration behaviour of proteins in dependence of their theoretical molecular weights in combination with their calculated isoelectric points. The utilization of all proteins of an organism of interest deduced from genes of the corresponding genome project in combination with the elimination of obvious membrane proteins permits the creation of an optimized calculated proteome map. The electrophoretic separation behaviour of single proteins is accessible interactively in a Java(TM) applet (small application in a web browser) by selecting a pI/MW range and an electrophoretic timescale of interest. The calculated pattern of protein spots helps to identify unknown proteins and to localize known proteins during experimental proteomics approaches. Differences between the experimentally observed and the calculated migration behaviour of certain proteins provide first indications for potential protein modification events. When possible, the protein spots are directly linked via a mouse click to the public databases SWISS-PROT and PRODORIC. Additionally, we provide tools for the serial calculation and visualization of specific protein properties like pH dependent charge curves and hydrophobicity profiles. These values are helpful for the rational establishment of protein purification procedures. The proteomics tools are available on the World Wide Web at http://prodoric.tu-bs.de/proteomics.php.
Collapse
Affiliation(s)
- Karsten Hiller
- Institut für Mikrobiologie, Technische Universität Braunschweig, Spielmannstrasse 7, D-38106 Braunschweig, Germany
| | | | | | | | | |
Collapse
|
10
|
Maacke H, Hundertmark C, Miska S, Voss M, Kalthoff H, Stürzbecher HW. Autoantibodies in sera of pancreatic cancer patients identify recombination factor Rad51 as a tumour-associated antigen. J Cancer Res Clin Oncol 2002; 128:219-22. [PMID: 11935313 DOI: 10.1007/s00432-001-0321-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2001] [Accepted: 12/19/2001] [Indexed: 12/30/2022]
Abstract
PURPOSE The recombination factor Rad51 is highly expressed in human pancreatic adenocarcinoma. In this study we asked whether high-level expression of Rad51 antigen stimulates a B-cell response leading to Rad51-specific autoantibodies in human pancreatic cancer patients. METHODS Sera of patients suffering from pancreatic cancer (57) as well as sera of healthy donors (86) were screened for Rad51 autoantibodies by Western-blot analysis. Rad51 over-expressing cell lines were used as antigen source. RESULTS Four out of 57 (7%) sera tested were found positive for Rad51 autoantibodies of IgG subclass, while all 86 control sera were negative. CONCLUSION This observation identifies Rad51 as a tumour-associated antigen in pancreatic adenocarcinoma. Since high-level expression of Rad51 is restricted to tumour cells, Rad51 is also a tumour-specific antigen. Further analyses should reveal whether Rad51 might also function as a tumour-specific transplantation antigen (TSTA) and whether it might serve as a target for new immunotherapeutical approaches.
Collapse
Affiliation(s)
- H Maacke
- Present address: Clinic for Internal Medicine II, Friedrich-Schiller University Jena, Erlanger Allee 101, 07743 Jena, Germany
| | | | | | | | | | | |
Collapse
|
11
|
Hermann KP, Hundertmark C, Funke M, von Brenndorff A, Grabbe E. [Direct digital magnification mammography with a large-surface detector made of amorphous silicon]. ROFO-FORTSCHR RONTG 1999; 170:503-6. [PMID: 10370416 DOI: 10.1055/s-2007-1011080] [Citation(s) in RCA: 6] [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: 10/28/2022]
Abstract
PURPOSE To investigate the image quality of a new direct digital mammography system using a large-area amorphous silicon X-ray detector in a phantom study. MATERIALS AND METHODS The contrast-detail resolution as a function of the tube voltages, the magnification factors and the mean glandular doses were investigated using dedicated test objects. RESULTS The contrast-detail resolution was significantly improved in comparison with conventional screen-film mammography. Usually, the doses necessary to obtain these high-quality survey mammograms were smaller. CONCLUSIONS By combining the direct magnification technique and a digital flat panel detector the limited spatial resolution of such image receptors can be overcome. With this direct digital mammography technique, a digital image was directly captured without an intermediate step of optical or mechanical scan.
Collapse
Affiliation(s)
- K P Hermann
- Institut für Medizinische Physik und Biophysik, Georg-August-Universität Göttingen.
| | | | | | | | | |
Collapse
|
12
|
Abstract
If suspicious lesions found with MR imaging cannot be visualized by either mammography or ultrasound, MR imaging--based guidance systems are needed to guide needle biopsy or to allow localization of the lesion before surgery. The authors give an overview of the advantages and disadvantages of biopsy devices presented by different working groups. Furthermore, MR-compatible needle equipment for interventions of the breast is demonstrated. The angulation of the needle and the type of sequence are the most important factors for signal loss due to susceptibility. The strategy in special problem cases (multicentricity, bilateral lesions) is discussed. Control MR imaging within the first week after open biopsy is the best way to document the complete excision of a suspicious hypervascularized lesion after MR-guided wire localization. At our institute, percutaneous biopsy (36 interventions) revealed benign findings in 67% and malignant lesions in 25% of cases. Three biopsies were insufficient. Histology after MR-guided wire localization (136 interventions) showed benign findings in 51% and malignancy in 49% of cases. The suspicious lesion was missed by the surgeon in three cases. We perform MR-guided interventions of the breast routinely in indicated cases.
Collapse
Affiliation(s)
- U Fischer
- Abteilung Röntgendiagnostik, Georg-August-Universität, Gottingen
| | | | | | | | | |
Collapse
|
13
|
Post K, Hermann KP, Funke M, Hundertmark C, Breiter N, Grabbe E. [Direct radiographic magnification mammography with a new microfocus tube. Experimental studies of resolution and radiation exposure]. Radiologe 1997; 37:604-9. [PMID: 9411476 DOI: 10.1007/s001170050260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [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: 02/05/2023]
Abstract
A recently developed X-ray unit for mammography using microfocal (spot size 0.12-0.05 mm) direct magnification radiography will soon be introduced into clinical practice. Unit arrangement and tube construction have been demonstrated. Mean surface dose was measured using PMMA-phantoms. A dose reduction of up to 50% was obtained in 1.7-fold magnification mammography (full sized views) compared with conventional techniques. The image quality was almost equivalent. However, in comparison with 1.7-fold magnification mammography, a comparable dose range for 4-fold magnifications with the microfocus system was measured with a substantial gain in spatial resolution. These findings satisfy the demands of a modern mammographic unit.
Collapse
Affiliation(s)
- K Post
- Abteilung Röntgendiagnostik I, Georg-August-Universität, Göttingen
| | | | | | | | | | | |
Collapse
|
14
|
Funke M, Hermann KP, Breiter N, Hundertmark C, Sachs J, Gruhl T, Sperner W, Grabbe E. [Digital storage phosphor mammography in a magnification technic: experimental studies for spatial resolution and for detection of microcalcifications]. ROFO-FORTSCHR RONTG 1997; 167:174-9. [PMID: 9333359 DOI: 10.1055/s-2007-1015512] [Citation(s) in RCA: 5] [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: 02/05/2023]
Abstract
PURPOSE Since the routine use of storage phosphor systems for mammography has been limited by its inadequate spatial resolution of 5 linepairs/mm, a combination of a magnification mammography technique with storage phosphor plates was investigated to detect microcalcifications. MATERIAL AND METHODS A new mammography system with a microfocus tube using an anode of 0.05-0.12 mm allowed to obtain survey views of the breast with 1.7x magnification (m), and spot views with 4x magnification. The digital image receptor comprised a high resolution storage phosphor plate. To determine spatial resolution, contrast transfer curves were obtained, and the detection of microcalcifications was investigated by ROC (receiver operating characteristic) analysis. RESULTS Spatial resolution for digital survey views (m = 1.7) was 8 linepairs/mm and for spot views (m = 4) was 18 linepairs/mm. ROC analysis demonstrated a significantly higher performance of the digital magnification technique compared to the conventional screen-film mammography technique. CONCLUSIONS The limitations of digital mammography with respect to spatial resolution can be overcome by using a high magnification technique.
Collapse
Affiliation(s)
- M Funke
- Abteilung Röntgendiagnostik I, Georg-August-Universität Göttingen
| | | | | | | | | | | | | | | |
Collapse
|
15
|
Hundertmark C, Breiter N, Hermann KP, Funke M, Wiese M, von Heyden D, Grabbe E. [Digital magnification mammography in computed radiography. Initial clinical results]. Radiologe 1997; 37:597-603. [PMID: 9411475 DOI: 10.1007/s001170050259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 02/05/2023]
Abstract
INTRODUCTION The combination of direct magnification mammography and computed radiography provides an improvement in spatial resolution of storage phosphor-based digital systems. A clinical study comparing conventional and digital direct magnification mammograms was performed. METHODS 100 survey mammograms in 1.5-or 1.7-fold magnification and 50 4-fold spot magnification views were obtained with a prototype direct magnification mammography system and a storage phosphor-based digital system. An intraindividual comparison of these with previous conventional radiograms of the same patients was carried out. RESULTS The diagnostic value of digital survey mammograms using the direct magnification technique is comparable to that of conventional radiograms of the breast, especially with regard to the identification of microcalcifications and lesions and the clinical consequences. Spot magnification views performed with this combination of techniques allowed improvement in the evaluation of microcalcifications. In 15% of cases, diagnostic procedures were adjusted accordingly. CONCLUSION The combination of the direct magnification technique with digital storage phosphor radiography systems allows the performance of digital mammography by improving the overall spatial resolution. The diagnostic value of digital direct magnification survey mammograms was comparable to that of conventional mammograms. Digital 4-fold spot magnification views improved visualisation of the morphologic aspects of microcalcifications.
Collapse
Affiliation(s)
- C Hundertmark
- Abteilung Röntgendiagnostik I, Georg-August-Universität, Göttingen
| | | | | | | | | | | | | |
Collapse
|
16
|
Hundertmark C, Funke M, Hermann KP, Breiter N, Grabbe E. [Digital image magnification mammography with the storage-screen technique. Standardized and findings-oriented image processing parameters]. Aktuelle Radiol 1997; 7:135-40. [PMID: 9296608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Present day mammography has not been able to make use of the advantages of digital luminescence radiography because of the limited spatial resolution. The recent development of electromagnetic focusing x-ray tube with effective focal spot sizes from 0.04 to 0.12 mm allows radiographic direct magnification with less geometric blur. It is now possible to combine direct magnification mammography with digital luminescence radiography. By combining high quality storage phosphor screens with an HQ-workstation a spatial resolution of 8 lp/mm is possible for 1.7-fold magnification. For 4-fold spot magnification views spatial resolution can be theoretically increased to approx. 20 lp/mm. One important advantage of digital radiography is the possibility of image-post-processing. This article presents two sets of standard parameters and three sets of image dependent parameters for better imaging of specific lesions, such as microcalcifications. The introduction of the the storage phosphor screen technique in mammography is one step in the development of direct digital radiography. Further interesting perspectives for the future include post-processing programs for detecting suspicious lesions which are already being clinical tested.
Collapse
Affiliation(s)
- C Hundertmark
- Abteilung Röntgendiagnostik I, Georg-August-Universität Göttingen
| | | | | | | | | |
Collapse
|
17
|
Hundertmark C, Fischer U, Post K. [Asymptomatic aneurysm of the ileocolic artery]. Aktuelle Radiol 1997; 7:98-9. [PMID: 9172672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Visceral aneurysms are rare and account for only 5% of all abdominal aneurysms. Most often they cause no symptoms and are therefore incidental findings. Doppler ultrasonography is the diagnostic method of choice. Therapeutic procedures can be performed either surgically of by interventional therapeutic techniques. This article presents a patient case with an ileocolic artery aneurysm.
Collapse
Affiliation(s)
- C Hundertmark
- Abteilung Röntgendiagnostik I, Klinikum der Georg-August-Universität Göttingen
| | | | | |
Collapse
|