The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers

  • Christopher I. Amos
    1Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
  • Joe Dennis
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Zhaoming Wang
    3Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee.
  • Jinyoung Byun
    1Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
  • Fredrick R. Schumacher
    4Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio.
  • Simon A. Gayther
    5The Center for Bioinformatics and Functional Genomics at Cedars Sinai Medical Center, Greater Los Angeles Area, Los Angeles, California.
  • Graham Casey
    6Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California.
  • David J. Hunter
    7Department of Epidemiology, Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts.
  • Thomas A. Sellers
    8Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
  • Stephen B. Gruber
    6Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California.
  • Alison M. Dunning
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Kyriaki Michailidou
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Laura Fachal
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Kimberly Doheny
    9Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Amanda B. Spurdle
    10Molecular Cancer Epidemiology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
  • Yafang Li
    1Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
  • Xiangjun Xiao
    1Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
  • Jane Romm
    9Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Elizabeth Pugh
    9Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Gerhard A. Coetzee
    11Van Andel Research Institute, Grand Rapids, Michigan.
  • Dennis J. Hazelett
    12Cedars-Sinai Medical Center, Los Angeles, California.
  • Stig E. Bojesen
    13Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
  • Charlisse Caga-Anan
    14Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
  • Christopher A. Haiman
    5The Center for Bioinformatics and Functional Genomics at Cedars Sinai Medical Center, Greater Los Angeles Area, Los Angeles, California.
  • Ahsan Kamal
    1Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
  • Craig Luccarini
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Daniel Tessier
    15Génome Québec Innovation Centre, Montreal, Canada and McGill University, Montreal, Canada.
  • Daniel Vincent
    15Génome Québec Innovation Centre, Montreal, Canada and McGill University, Montreal, Canada.
  • François Bacot
    15Génome Québec Innovation Centre, Montreal, Canada and McGill University, Montreal, Canada.
  • David J. Van Den Berg
    6Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California.
  • Stefanie Nelson
    14Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
  • Stephen Demetriades
    16University Health Network- The Princess Margaret Cancer Centre, Toronto, California.
  • David E. Goldgar
    17Huntsman Cancer Institute, Salt Lake City, Utah.
  • Fergus J. Couch
    18Mayo Clinic, Rochester, Minnesota.
  • Judith L. Forman
    1Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
  • Graham G. Giles
    19Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia.
  • David V. Conti
    21Division of Biostatistics, Department of Preventive Medicine, Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California.
  • Heike Bickeböller
    22Department of Genetic Epidemiology, University Medical Center, Georg-August-University, Göttingen, Germany.
  • Angela Risch
    23University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria.
  • Melanie Waldenberger
    24Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Irene Brüske-Hohlfeld
    25Helmholtz Zentrum München, Institut für Epidemiologie I, Neuherberg, Oberschleissheim, Germany.
  • Belynda D. Hicks
    26Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland.
  • Hua Ling
    9Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Lesley McGuffog
    19Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia.
  • Andrew Lee
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Karoline Kuchenbaecker
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Penny Soucy
    27Cancer Genomics Laboratory, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Canada.
  • Judith Manz
    24Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Julie M. Cunningham
    18Mayo Clinic, Rochester, Minnesota.
  • Katja Butterbach
    28Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
  • Zsofia Kote-Jarai
    29Institute of Cancer Research, London, England.
  • Peter Kraft
    7Department of Epidemiology, Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts.
  • Liesel FitzGerald
    19Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia.
  • Sara Lindström
    7Department of Epidemiology, Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts.
  • Marcia Adams
    9Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • James D. McKay
    31International Agency for Research on Cancer, World Health Organization, Lyon, France.
  • Catherine M. Phelan
    8Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
  • Sara Benlloch
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Linda E. Kelemen
    32Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
  • Paul Brennan
    31International Agency for Research on Cancer, World Health Organization, Lyon, France.
  • Marjorie Riggan
    33Department of Gynecology, Duke University Medical Center, Durham, North Carolina.
  • Tracy A. O'Mara
    34Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
  • Hongbing Shen
    35Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, School of Public Health, Nanjing Medical University, Nanjing, P.R. China.
  • Yongyong Shi
    36Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, P.R. China.
  • Deborah J. Thompson
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Marc T. Goodman
    12Cedars-Sinai Medical Center, Los Angeles, California.
  • Sune F. Nielsen
    13Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
  • Andrew Berchuck
    33Department of Gynecology, Duke University Medical Center, Durham, North Carolina.
  • Sylvie Laboissiere
    15Génome Québec Innovation Centre, Montreal, Canada and McGill University, Montreal, Canada.
  • Stephanie L. Schmit
    8Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
  • Tameka Shelford
    9Center for Inherited Disease Research, Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Christopher K. Edlund
    6Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California.
  • Jack A. Taylor
    39Molecular and Genetic Epidemiology Group, National Institute for Environmental Health Sciences, Research Triangle Park, North Carolina.
  • John K. Field
    40Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom.
  • Sue K. Park
    41College of Medicine, Seoul National University, Gwanak-gu, Seoul, Korea.
  • Kenneth Offit
    42Clinical Genetics Service, Memorial Hospital, New York, New York.
  • Mads Thomassen
    45Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
  • Rita Schmutzler
    46Zentrum Familiärer Brust- und Eierstockkrebs, Universitätsklinikum Köln, Köln, Germany.
  • Laura Ottini
    47Department of Molecular Medicine, Sapienza, University of Rome, Rome, Italy.
  • Rayjean J. Hung
    48Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, University of Toronto, Toronto, Canada.
  • Jonathan Marchini
    49Department of Statistics, Oxford University, Oxford, United Kingdom.
  • Ali Amin Al Olama
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Ulrike Peters
    50Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Rosalind A. Eeles
    29Institute of Cancer Research, London, England.
  • Michael F. Seldin
    51Department of Biochemistry and Molecular Medicine, University of California at Davis, Davis, California.
  • Elizabeth Gillanders
    14Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
  • Daniela Seminara
    14Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
  • Antonis C. Antoniou
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Paul D.P. Pharoah
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.
  • Georgia Chenevix-Trench
    34Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
  • Stephen J. Chanock
    53Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland.
  • Jacques Simard
    27Cancer Genomics Laboratory, Centre Hospitalier Universitaire de Québec and Laval University, Québec City, Canada.
  • Douglas F. Easton
    2Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom.

書誌事項

公開日
2017-01-01
DOI
  • 10.1158/1055-9965.epi-16-0106
公開者
American Association for Cancer Research (AACR)

この論文をさがす

説明

<jats:title>Abstract</jats:title> <jats:p>Background: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits.</jats:p> <jats:p>Methods: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background.</jats:p> <jats:p>Results: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis.</jats:p> <jats:p>Conclusions: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures.</jats:p> <jats:p>Impact: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126–35. ©2016 AACR.</jats:p>

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