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A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer

  • Lang Wu
  • , Wei Shi
  • , Jirong Long
  • , Xingyi Guo
  • , Kyriaki Michailidou
  • , Jonathan Beesley
  • , Manjeet K. Bolla
  • , Xiao Ou Shu
  • , Yingchang Lu
  • , Qiuyin Cai
  • , Fares Al-Ejeh
  • , Esdy Rozali
  • , Qin Wang
  • , Joe Dennis
  • , Bingshan Li
  • , Chenjie Zeng
  • , Helian Feng
  • , Alexander Gusev
  • , Richard T. Barfield
  • , Irene L. Andrulis
  • Hoda Anton-Culver, Volker Arndt, Kristan J. Aronson, Paul L. Auer, Myrto Barrdahl, Caroline Baynes, Matthias W. Beckmann, Javier Benitez, Marina Bermisheva, Carl Blomqvist, Natalia V. Bogdanova, Stig E. Bojesen, Hiltrud Brauch, Hermann Brenner, Louise Brinton, Per Broberg, Sara Y. Brucker, Barbara Burwinkel, Trinidad Caldés, Federico Canzian, Brian D. Carter, J. Esteban Castelao, Jenny Chang-Claude, Xiaoqing Chen, Ting Yuan David Cheng, Hans Christiansen, Christine L. Clarke, Margriet Collée, Sten Cornelissen, Fergus J. Couch, David Cox, Angela Cox, Simon S. Cross, Julie M. Cunningham, Kamila Czene, Mary B. Daly, Peter Devilee, Kimberly F. Doheny, Thilo Dörk, Isabel Dos-Santos-Silva, Martine Dumont, Miriam Dwek, Diana M. Eccles, Ursula Eilber, A. Heather Eliassen, Christoph Engel, Mikael Eriksson, Laura Fachal, Peter A. Fasching, Jonine Figueroa, Dieter Flesch-Janys, Olivia Fletcher, Henrik Flyger, Lin Fritschi, Marike Gabrielson, Manuela Gago-Dominguez, Susan M. Gapstur, Montserrat García-Closas, Mia M. Gaudet, Maya Ghoussaini, Graham G. Giles, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Pascal Guénel, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Emily Hallberg, Ute Hamann, Patricia Harrington, Alexander Hein, Belynda Hicks, Peter Hillemanns, Antoinette Hollestelle, Robert N. Hoover, John L. Hopper, Guanmengqian Huang, Keith Humphreys, David J. Hunter, Anna Jakubowska, Wolfgang Janni, Esther M. John, Nichola Johnson, Kristine Jones, Michael E. Jones, Audrey Jung, Rudolf Kaaks, Michael J. Kerin, Elza Khusnutdinova, Veli Matti Kosma, Vessela N. Kristensen, Diether Lambrechts, Loic Le Marchand, Jingmei Li, Sara Lindström, Jolanta Lissowska, Wing Yee Lo, Sibylle Loibl, Jan Lubinski, Craig Luccarini, Michael P. Lux, Robert J. MacInnis, Tom Maishman, Ivana Maleva Kostovska, Arto Mannermaa, Jo Ann E. Manson, Sara Margolin, Dimitrios Mavroudis, Hanne Meijers-Heijboer, Alfons Meindl, Usha Menon, Jeffery Meyer, Anna Marie Mulligan, Susan L. Neuhausen, Heli Nevanlinna, Patrick Neven, Sune F. Nielsen, Børge G. Nordestgaard, Olufunmilayo I. Olopade, Janet E. Olson, Håkan Olsson, Paolo Peterlongo, Julian Peto, Dijana Plaseska-Karanfilska, Ross Prentice, Nadege Presneau, Katri Pylkäs, Brigitte Rack, Paolo Radice, Nazneen Rahman, Gad Rennert, Hedy S. Rennert, Valerie Rhenius, Atocha Romero, Jane Romm, Anja Rudolph, Emmanouil Saloustros, Dale P. Sandler, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Andreas Schneeweiss, Rodney J. Scott, Christopher G. Scott, Sheila Seal, Mitul Shah, Martha J. Shrubsole, Ann Smeets, Melissa C. Southey, John J. Spinelli, Jennifer Stone, Harald Surowy, Anthony J. Swerdlow, Rulla M. Tamimi, William Tapper, Jack A. Taylor, Mary Beth Terry, Daniel C. Tessier, Abigail Thomas, Kathrin Thöne, Rob A.E.M. Tollenaar, Diana Torres, Thérèse Truong, Michael Untch, Celine Vachon, David Van Den Berg, Daniel Vincent, Quinten Waisfisz, Clarice R. Weinberg, Camilla Wendt, Alice S. Whittemore, Hans Wildiers, Walter C. Willett, Robert Winqvist, Alicja Wolk, Lucy Xia, Xiaohong R. Yang, Argyrios Ziogas, Elad Ziv, Alison M. Dunning, Paul D.P. Pharoah, Jacques Simard, Roger L. Milne, Stacey L. Edwards, Peter Kraft, Douglas F. Easton, Georgia Chenevix-Trench*, Wei Zheng
*Corresponding author for this work
  • Division of Epidemiology
  • Vanderbilt University
  • Cancer Division
  • Queensland Institute of Medical Research
  • Centre for Cancer Genetic Epidemiology
  • University of Cambridge
  • Department of Electron Microscopy
  • Cyprus Institute of Neurology and Genetics
  • Program in Genetic Epidemiology and Statistical Genetics
  • Harvard University
  • Department of Epidemiology
  • Department of Medical Oncology
  • Dana-Farber Cancer Institute
  • Department of Medicine
  • Division of Genetics
  • Brigham and Women’s Hospital
  • Fred A. Litwin Center for Cancer Genetics
  • University of Toronto
  • Department of Molecular Genetics
  • Department of Epidemiology
  • University of California at Irvine
  • Division of Clinical Epidemiology and Aging Research
  • German Cancer Research Center
  • Department of Public Health Sciences
  • Queen's University Kingston
  • Cancer Prevention Program
  • Fred Hutchinson Cancer Research Center
  • Zilber School of Public Health
  • University of Wisconsin-Milwaukee
  • Division of Cancer Epidemiology
  • Department of Gynaecology and Obstetrics
  • Friedrich-Alexander University Erlangen-Nürnberg
  • Human Cancer Genetics Program
  • Spanish National Cancer Research Centre
  • Centro de Investigación en Red de Enfermedades Raras (CIBERER)
  • Russian Academy of Sciences
  • Gynaecology Research Unit
  • Hannover Medical School
  • Department of Oncology
  • Helsinki University Hospital
  • Örebro University
  • Department of Radiation Oncology
  • N.N. Alexandrov Research Institute of Oncology and Medical Radiology
  • Copenhagen General Population Study
  • University of Copenhagen
  • Department of Clinical Biochemistry
  • Robert Bosch Foundation
  • University of Tübingen
  • Division of Preventive Oncology
  • Division of Cancer Epidemiology and Genetics
  • National Institutes of Health
  • Department of Cancer Epidemiology
  • Lund University
  • Department of Obstetrics and Gynecology
  • Heidelberg University 
  • Molecular Epidemiology Group
  • Medical Oncology Department
  • Hospital Clínico San Carlos de Madrid
  • Genomic Epidemiology Group
  • Epidemiology Research Program
  • American Cancer Society
  • Oncology and Genetics Unit
  • Xerencia de Xestion Integrada de Vigo-SERGAS
  • University of Hamburg
  • Department of Epidemiology
  • University of Florida
  • The University of Sydney
  • Department of Clinical Genetics
  • Erasmus University Rotterdam
  • Division of Molecular Pathology
  • Antoni van Leeuwenhoek Hospital
  • Department of Laboratory Medicine and Pathology
  • Mayo Clinic Rochester, MN
  • Department of Epidemiology and Biostatistics
  • Imperial College London
  • INSERM U1052
  • University of Sheffield
  • Academic Unit of Pathology
  • Department of Medical Epidemiology and Biostatistics
  • Karolinska Institutet
  • Department of Clinical Genetics
  • Fox Chase Cancer Center
  • Department of Pathology
  • Leiden University
  • Department of Human Genetics
  • Center for Inherited Disease Research
  • Johns Hopkins University
  • Non-communicable Disease Epidemiology Department
  • London School of Hygiene and Tropical Medicine
  • Genomics Center
  • Hôpital du Saint-Sacrement
  • Department of Biomedical Sciences
  • University of Westminster
  • Cancer Sciences Academic Unit
  • University of Southampton
  • Channing Division of Network Medicine
  • Institute for Medical Informatics
  • Leipzig University
  • University of California at Los Angeles
  • Usher Institute of Population Health Sciences and Informatics
  • University of Edinburgh
  • Institute for Medical Biometrics and Epidemiology
  • Department of Cancer Epidemiology
  • Institute of Cancer Research
  • Department of Breast Surgery
  • School of Public Health
  • Curtin University
  • Genomic Medicine Group
  • Instituto de Investigación Sanitaria de Santiago de Compostela
  • University of California at San Diego
  • Cancer Epidemiology and Intelligence Division
  • Cancer Council Victoria
  • Centre for Epidemiology and Biostatistics
  • Department of Medicine
  • McGill University
  • Division of Clinical Epidemiology
  • Department of Dermatology
  • University of Utah
  • Renal and Cardiovascular Epidemiology
  • Center for Hereditary Breast and Ovarian Cancer
  • University of Cologne
  • Center for Molecular Medicine Cologne (CMMC)
  • Department of Preventive Medicine
  • University of Southern California
  • Institute of Environmental Medicine
  • Department of Oncology
  • Stockholm County Council
  • Department of Health Sciences Research
  • Molecular Genetics of Breast Cancer
  • Cancer Genomics Research Laboratory
  • Leidos Inc
  • Department of Medical Oncology
  • Erasmus MC Cancer Institute
  • University of Oxford
  • Department of Genetics and Pathology
  • Pomeranian Medical University in Szczecin
  • Independent Laboratory of Molecular Biology and Genetic Diagnostics
  • Department of Gynecology and Obstetrics
  • Ulm University
  • Department of Epidemiology
  • Cancer Prevention Institute of California
  • Department of Health Research and Policy
  • Stanford University
  • Division of Genetics and Epidemiology
  • Institute of Cancer Research
  • School of Medicine
  • University of Galway
  • Department of Genetics and Fundamental Medicine
  • Ufa University of Science and Technology
  • Translational Cancer Research Area
  • University of Eastern Finland
  • Institute of Clinical Medicine
  • Imaging Center
  • Department of Cancer Genetics
  • University of Oslo
  • Institute of Clinical Medicine
  • Department of Clinical Molecular Biology
  • Flanders Institute for Biotechnology
  • KU Leuven
  • University of Hawai'i at Mānoa
  • Human Genetics
  • Agency for Science, Technology and Research, Singapore
  • Department of Epidemiology
  • University of Washington
  • Public Health Sciences Division
  • Department of Cancer Epidemiology and Prevention
  • Maria Sklodowska-Curie Institute of Oncology
  • GmbH
  • Research Centre for Genetic Engineering and Biotechnology Georgi D. Efremov
  • Macedonian Academy of Sciences and Arts
  • Department of Medical Oncology
  • Heraklion University Hospital
  • Department of Clinical Genetics
  • VU University Medical Center
  • Division of Gynaecology and Obstetrics
  • Technical University of Munich
  • Gynaecological Cancer Research Centre
  • University College London
  • Laboratory Medicine Program
  • University Health Network
  • Department of Population Sciences
  • City of Hope National Med Center
  • Department of Obstetrics and Gynecology
  • Leuven Multidisciplinary Breast Center
  • Center for Clinical Cancer Genetics and Global Health
  • The University of Chicago
  • FIRC Institute of Molecular Oncology
  • Laboratory of Cancer Genetics and Tumor Biology
  • University of Oulu
  • Northern Finland Laboratory Centre Oulu
  • Unit of Molecular Bases of Genetic Risk and Genetic Testing
  • IRCCS Fondazione Istituto Nazionale per lo studio e la cura dei tumori - Milano
  • Section of Cancer Genetics
  • Department of Community Medicine and Epidemiology
  • Carmel Medical Center
  • Hospital Universitario Puerta de Hierro Majadahonda
  • Hereditary Cancer Clinic
  • Epidemiology Branch
  • Guy's and St Thomas' NHS Foundation Trust
  • Division of Psychosocial Research and Epidemiology
  • Division of Molecular Medicine
  • Hunter New England Health
  • Discipline of Medical Genetics
  • University of Newcastle
  • University of Melbourne
  • Cancer Control Research
  • Provincial Health Services Authority
  • School of Population and Public Health
  • University of British Columbia
  • Division of Breast Cancer Research
  • Epigenetic and Stem Cell Biology Laboratory
  • Department of Epidemiology
  • Columbia University
  • Department of Surgery
  • Institute of Human Genetics
  • Universidad Javeriana
  • Department of Gynecology and Obstetrics
  • Helios Clinics Berlin-Buch
  • Biostatistics and Computational Biology Branch
  • Department of Nutrition
  • Department of Medicine
  • University of California at San Francisco
  • Department of Oncology

Research output: Contribution to journal › Article › peer-review

Abstract

The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P < 5.82 × 10 -6 , including 14 genes at loci not yet reported for breast cancer. We silenced 13 genes and showed an effect for 11 on cell proliferation and/or colony-forming efficiency. Our study provides new insights into breast cancer genetics and biology.

Original languageEnglish
Pages (from-to)968-978
Number of pages11
JournalNature Genetics
Volume50
Issue number7
DOIs
Publication statusPublished - 1 Jul 2018
Externally publishedYes

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