Abstract
Background: Epigenetic information can be used to identify clinically relevant genomic variants single nucleotide polymorphisms (SNPs) of functional importance in cancer development. Super-enhancers are cell-specific DNA elements, acting to determine tissue or cell identity and driving tumor progression. Although previous approaches have been tried to explain risk associated with SNPs in regulatory DNA elements, so far epigenetic readers such as bromodomain containing protein 4 (BRD4) and super-enhancers have not been used to annotate SNPs. In prostate cancer (PC), androgen receptor (AR) binding sites to chromatin have been used to inform functional annotations of SNPs. Results: Here we establish criteria for enhancer mapping which are applicable to other diseases and traits to achieve the optimal tissue-specific enrichment of PC risk SNPs. We used stratified Q-Q plots and Fisher test to assess the differential enrichment of SNPs mapping to specific categories of enhancers. We find that BRD4 is the key discriminant of tissue-specific enhancers, showing that it is more powerful than AR binding information to capture PC specific risk loci, and can be used with similar effect in breast cancer (BC) and applied to other diseases such as schizophrenia. Conclusions: This is the first study to evaluate the enrichment of epigenetic readers in genome-wide associations studies for SNPs within enhancers, and provides a powerful tool for enriching and prioritizing PC and BC genetic risk loci. Our study represents a proof of principle applicable to other diseases and traits that can be used to redefine molecular mechanisms of human phenotypic variation.
Original language | English (US) |
---|---|
Article number | 270 |
Journal | BMC genomics |
Volume | 18 |
Issue number | 1 |
DOIs | |
State | Published - Mar 31 2017 |
Keywords
- BRD4
- Breast cancer risk
- Chromatin
- Functional annotation
- Genome-wide association studies
- Prostate cancer risk
- Risk loci
- SNPs
- Schizophrenia
- Super-enhancer
ASJC Scopus subject areas
- Biotechnology
- Genetics
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Bromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer. / the PRACTICAL Consortium, the COGS-CRUK GWAS, the BCAC Consortium, the TRICL Consortium.
In: BMC genomics, Vol. 18, No. 1, 270, 31.03.2017.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Bromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer
AU - the PRACTICAL Consortium, the COGS-CRUK GWAS, the BCAC Consortium, the TRICL Consortium
AU - Zuber, Verena
AU - Bettella, Francesco
AU - Witoelar, Aree
AU - Andreassen, Ole A.
AU - Mills, Ian G.
AU - Urbanucci, Alfonso
AU - Eeles, Rosalind
AU - Easton, Doug
AU - Kote-Jarai, Zsofia
AU - Al Olama, Ali Amin
AU - Benlloch, Sara
AU - Muir, Kenneth
AU - Giles, Graham G.
AU - Wiklund, Fredrik
AU - Gronberg, Henrik
AU - Haiman, Christopher A.
AU - Schleutker, Johanna
AU - Weischer, Maren
AU - Travis, Ruth C.
AU - Neal, David
AU - Pharoah, Paul
AU - Khaw, Kay Tee
AU - Stanford, Janet L.
AU - Blot, William J.
AU - Thibodeau, Stephen
AU - Maier, Christiane
AU - Kibel, Adam S.
AU - Cybulski, Cezary
AU - Cannon-Albright, Lisa
AU - Brenner, Hermann
AU - Park, Jong
AU - Kaneva, Radka
AU - Batra, Jyotsna
AU - Teixeira, Manuel R.
AU - Pandha, Hardev
AU - Chenevix-Trench, Georgia
AU - Humphreys, Manjeet
AU - Hung, R. J.
AU - Han, Y.
AU - Brennan, P.
AU - Bickeböller, H.
AU - Rosenberger, A.
AU - Houlston, R. S.
AU - Caporaso, N.
AU - Landi, M. T.
AU - Heinrich, J.
AU - Risch, A.
AU - Wu, X.
AU - Couch, Fergus
AU - Cunningham, Julie M.
N1 - Funding Information: A.U. is supported by the South-East Norway Health Authorities (Helse Sor-Ost grant ID 2014040) at the Oslo University Hospital, and the Norwegian Centre for Molecular Medicine. I.G.M. is supported by funding from the Research Council of Norway (RCN), South East Norway Health Authority (SENHA) and the University of Oslo through the Centre for Molecular Medicine (Norway), which is part of the Nordic EMBL (European Molecular Biology Laboratory) partnership and also supported by Oslo University Hospitals. I.G.M. is also supported by the Norwegian Cancer Society and by EU FP7 funding. I.G.M. holds a visiting scientist position with Cancer Research UK through the Cambridge Research Institute and a Senior Visiting Research Fellowship with Cambridge University through the Department of Oncology. A.U. is funded by the SENHA at the Oslo University Hospital. V. Z. is supported by the Centre for Molecular Medicine (Norway) and together with A.W., F.B and O.A.A. supported by the Norwegian Centre of Research in Mental Disorders (NORMENT) with funding from the RCN, SENHA, Norwegian Health Association and KG Jebsen Foundation. This work was supported by the Kristian Gerhard Jebsen Foundation, Centre for Molecular Medicine Norway, Research Council of Norway (213837, 223273), South-East Norway Health Authorities (2013–123), National Institutes of Health (R01AG031224, R01EB000790 and RC2DA29475). I.G.M. and group members participate in the NIH Genetic Associations and Mechanisms in Oncology (GAME-ON): A Network of Consortia for Post-Genome Wide Association (Post-GWA) Research (prostate: 1U19CA148537-01). This work was also supported by Cancer Research UK Grant C5047/A3354. We would also like to thank the following for funding support: the Institute of Cancer Research and the Everyman Campaign, the Prostate Cancer Research Foundation, Prostate Research Campaign UK (now known as Prostate Cancer UK), the National Cancer Research Network UK and the National Cancer Research Institute (NCRI) UK. The ProtecT study is ongoing and is funded by the Health Technology Assessment Programme (projects 96/20/06, 96/20/99). The ProtecT trial and its linked ProMPT and CAP (Comparison Arm for ProtecT) studies are supported by Department of Health, UK, Cancer Research UK grant number C522/A8649, Medical Research Council (UK) grant number G0500966, ID 75466 and the NCRI, UK. The epidemiological data for ProtecT were generated through funding from the Southwest National Health Service Research and Development. Funding Information: We thank the COGS, PRACTICAL, TRICL and BCAC consortia for access to GWAS summary statistics data. Further details are provided below. The PRACTICAL Consortium (http://practical.ccge.medschl.cam.ac.uk/): Rosalind Eeles1,2, Doug Easton3, Zsofia Kote-Jarai1, Ali Amin Al Olama3, Sara Benlloch3, Kenneth Muir4, Graham G. Giles5,6, Fredrik Wiklund7, Henrik Gronberg7, Christopher A. Haiman8, Johanna Schleutker9,10, Maren Weischer11, Ruth C. Travis12, David Neal13, Paul Pharoah14, Kay-Tee Khaw15, Janet L. Stanford16,17, William J. Blot18, Stephen Thibodeau19, Christiane Maier20,21, Adam S. Kibel22,23, Cezary Cybulski24, Lisa Cannon-Albright25, Hermann Brenner26,27, Jong Park28, Radka Kaneva29, Jyotsna Batra30, Manuel R. Teixeira 31, Hardev Pandha32 1The Institute of Cancer Research, London, SM2 5NG, UK, 2Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK, 3Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK, 4University of Warwick, Coventry, UK, 5Cancer Epidemiology Centre, Cancer Council Victoria, 615 St Kilda Road, Melbourne Victoria, Australia, 6Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia, 7Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden, 8Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, USA, 9Department of Medical Biochemistry and Genetics, Institute of Biomedicine, Kiinamyllynkatu 10, FI-20014 University of Turku; and Tyks Microbiology and Genetics, Department of Medical Genetics, Turku University Hospital, 10BioMediTech, 30014 University of Tampere, Tampere, Finland, 11Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev Ringvej 75, DK-2730 Herlev, Denmark, 12Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK, 13Surgical Oncology (Uro-Oncology: S4), University of Cambridge, Box 279, Addenbrooke’s Hospital, Hills Road, Cambridge, UK and Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Cambridge, UK, 14Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK, 15Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge CB2 0SR, 16Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA, 17Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA, 18International Epidemiology Institute, 1455 Research Blvd., Suite 550, Rockville, MD 20850, 19Mayo Clinic, Rochester, Minnesota, USA, 20Department of Urology, University Hospital Ulm, Germany, 21Institute of Human Genetics University Hospital Ulm, Germany, 22Brigham and Women's Hospital/Dana-Farber Cancer Institute, 45 Francis Street-ASB II-3, Boston, MA 02115, 23Washington University, St Louis, Missouri, 24International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland, 25Division of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, 26Division of Clinical Epidemiology and Aging Research & Division of Preventive Oncology, German Cancer Research Center, Heidelberg Germany, 27German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg Germany, 28Division of Cancer Prevention and Control, H. Lee Moffitt Cancer Center, 12902 Magnolia Dr., Tampa, Florida, USA, 29Molecular Medicine Center and Department of Medical Chemistry and Biochemistry, Medical University - Sofia, 2 Zdrave St, 1431, Sofia, Bulgaria, 30Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and Schools of Life Science and Public Health, Queensland University of Technology, Brisbane, Australia, 31Department of Genetics, Portuguese Oncology Institute, Porto, Portugal and Biomedical Sciences Institute (ICBAS), Porto University, Porto, Portugal, 32The University of Surrey, Guildford, Surrey, GU2 7XH, UK COGS acknowledgement and funding: This study would not have been possible without the contributions of the following: Per Hall (COGS); Douglas F. Easton, Paul Pharoah, Kyriaki Michailidou, Manjeet K. Bolla, Qin Wang (BCAC), Andrew Berchuck (OCAC), Rosalind A. Eeles, Douglas F. Easton, Ali Amin Al Olama, Zsofia Kote-Jarai, Sara Benlloch (PRACTICAL), Georgia Chenevix-Trench, Antonis Antoniou, Lesley McGuffog, Fergus Couch and Ken Offit (CIMBA), Joe Dennis, Alison M. Dunning, Andrew Lee, and Ed Dicks, Craig Luccarini and the staff of the Centre for Genetic Epidemiology Laboratory, Javier Benitez, Anna Gonzalez-Neira and the staff of the CNIO genotyping unit, Jacques Simard and Daniel C. Tessier, Francois Bacot, Daniel Vincent, Sylvie LaBoissière and Frederic Robidoux and the staff of the McGill University and Génome Québec Innovation Centre, Stig E. Bojesen, Sune F. Nielsen, Borge G. Nordestgaard, and the staff of the Copenhagen DNA laboratory, and Julie M. Cunningham, Sharon A. Windebank, Christopher A. Hilker, Jeffrey Meyer and the staff of Mayo Clinic Genotyping Core Facility Funding for the iCOGS infrastructure came from: the European Community's Seventh Framework Programme under grant agreement n° 223175 (HEALTH-F2-2009-223175) (COGS), Cancer Research UK (C1287/A10118, C1287/A 10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/ A10692, C8197/A16565), the National Institutes of Health (CA128978) and Post-Cancer GWAS initiative (1U19 CA148537, 1U19 CA148065 and 1U19 CA148112 - the GAME-ON initiative), the Department of Defence (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer, Komen Foundation for the Cure, the Breast Cancer Research Foundation, and the Ovarian Cancer Research Fund. Publisher Copyright: © 2017 The Author(s).
PY - 2017/3/31
Y1 - 2017/3/31
N2 - Background: Epigenetic information can be used to identify clinically relevant genomic variants single nucleotide polymorphisms (SNPs) of functional importance in cancer development. Super-enhancers are cell-specific DNA elements, acting to determine tissue or cell identity and driving tumor progression. Although previous approaches have been tried to explain risk associated with SNPs in regulatory DNA elements, so far epigenetic readers such as bromodomain containing protein 4 (BRD4) and super-enhancers have not been used to annotate SNPs. In prostate cancer (PC), androgen receptor (AR) binding sites to chromatin have been used to inform functional annotations of SNPs. Results: Here we establish criteria for enhancer mapping which are applicable to other diseases and traits to achieve the optimal tissue-specific enrichment of PC risk SNPs. We used stratified Q-Q plots and Fisher test to assess the differential enrichment of SNPs mapping to specific categories of enhancers. We find that BRD4 is the key discriminant of tissue-specific enhancers, showing that it is more powerful than AR binding information to capture PC specific risk loci, and can be used with similar effect in breast cancer (BC) and applied to other diseases such as schizophrenia. Conclusions: This is the first study to evaluate the enrichment of epigenetic readers in genome-wide associations studies for SNPs within enhancers, and provides a powerful tool for enriching and prioritizing PC and BC genetic risk loci. Our study represents a proof of principle applicable to other diseases and traits that can be used to redefine molecular mechanisms of human phenotypic variation.
AB - Background: Epigenetic information can be used to identify clinically relevant genomic variants single nucleotide polymorphisms (SNPs) of functional importance in cancer development. Super-enhancers are cell-specific DNA elements, acting to determine tissue or cell identity and driving tumor progression. Although previous approaches have been tried to explain risk associated with SNPs in regulatory DNA elements, so far epigenetic readers such as bromodomain containing protein 4 (BRD4) and super-enhancers have not been used to annotate SNPs. In prostate cancer (PC), androgen receptor (AR) binding sites to chromatin have been used to inform functional annotations of SNPs. Results: Here we establish criteria for enhancer mapping which are applicable to other diseases and traits to achieve the optimal tissue-specific enrichment of PC risk SNPs. We used stratified Q-Q plots and Fisher test to assess the differential enrichment of SNPs mapping to specific categories of enhancers. We find that BRD4 is the key discriminant of tissue-specific enhancers, showing that it is more powerful than AR binding information to capture PC specific risk loci, and can be used with similar effect in breast cancer (BC) and applied to other diseases such as schizophrenia. Conclusions: This is the first study to evaluate the enrichment of epigenetic readers in genome-wide associations studies for SNPs within enhancers, and provides a powerful tool for enriching and prioritizing PC and BC genetic risk loci. Our study represents a proof of principle applicable to other diseases and traits that can be used to redefine molecular mechanisms of human phenotypic variation.
KW - BRD4
KW - Breast cancer risk
KW - Chromatin
KW - Functional annotation
KW - Genome-wide association studies
KW - Prostate cancer risk
KW - Risk loci
KW - SNPs
KW - Schizophrenia
KW - Super-enhancer
UR - http://www.scopus.com/inward/record.url?scp=85016644651&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016644651&partnerID=8YFLogxK
U2 - 10.1186/s12864-017-3620-y
DO - 10.1186/s12864-017-3620-y
M3 - Article
C2 - 28359301
AN - SCOPUS:85016644651
SN - 1471-2164
VL - 18
JO - BMC Genomics
JF - BMC Genomics
IS - 1
M1 - 270
ER -