supplementary table 1 - media.nature.com · 51saarland cancer registry, saarbrücken, germany....
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Supplementary Tables and Supplementary Note
Genome-wide association analysis identifies three new breast cancer susceptibility loci
Maya Ghoussaini1, Olivia Fletcher
2, Kyriaki Michailidou
3, Clare Turnbull
4, Marjanka K Schmidt
5,6, Ed Dicks
1, Joe Dennis
3, Qin Wang
3, Manjeet K
Humphreys3, Craig Luccarini
1, Caroline Baynes
1, Don Conroy
1, Melanie Maranian
1, Shahana Ahmed
1, Kristy Driver
1, Nichola Johnson
2, Nicholas
Orr2, Isabel dos Santos Silva
7, Quinten Waisfisz
8, Hanne Meijers-Heijboer
8, Andre G Uitterlinden
9, Fernando Rivadeneira
9, Netherlands
Collaborative Group on Hereditary Breast and Ovarian Cancer (HEBON)10
, Per Hall11
, Kamila Czene11
, Astrid Irwanto12
, Jianjun Liu13
, Heli
Nevanlinna12
, Kristiina Aittomäki14
, Carl Blomqvist15
, Alfons Meindl16
, Rita KSchmutzler17
, Bertram Müller-Myhsok18
, Peter Lichtner19
, Jenny
Chang-Claude20
, Rebecca Hein20,21
, Stefan Nickels20
, Dieter Flesch-Janys22,23
, Helen Tsimiklis24
, Enes Makalic25
, Daniel Schmidt25
, Minh Bui25
,
John LHopper25
, Carmel Apicella25
, Daniel J Park24
, Melissa Southey24
, David J Hunter26
, Stephen J Chanock27
, Annegien Broeks5, Senno
Verhoef28
, Frans B L Hogervorst29
, Peter A Fasching30
, Michael P Lux30
, Matthias W Beckmann30
, Arif B Ekici31
, Elinor Sawyer32,33
, Ian
Tomlinson34
, Michael Kerin35
, Frederik Marme36,37
, Andreas Schneeweiss36,37
, Christof Sohn36
, Barbara Burwinkel36,38
, Pascal Guénel39,40
, Thérèse
Truong39,40
, Emilie Cordina-Duverger39,40
, Florence Menegaux39,40
, Stig E Bojesen41,42
, Børge G Nordestgaard41,42
, Sune F Nielsen41,42
, Henrik
Flyger43
, Roger L Milne44
, M Rosario Alonso45
, Anna González-Neira45
, Javier Benítez46
, Hoda Anton-Culver47
, Argyrios Ziogas47
, Leslie
Bernstein48
, Christina Clarke Dur49
, Hermann Brenner50
, Heiko Müller50
, Volker Arndt50
, Christa Stegmaier51
, Familial Breast Cancer Study
(FBCS)10
, Christina Justenhoven52,53
, Hiltrud Brauch52,53
, Thomas Brüning54
, The GENICA (Gene Environment Interaction of Breast Cancer in
Germany) Network52–56
, Shan Wang-Gohrke57
, Ursula Eilber20
, Thilo Dörk58
, Peter Schürmann58
, Michael Bremer58
, Peter Hillemanns58
, Natalia V
Bogdanova59
, Natalia N Antonenkova60
, Yuri I Rogov60
, Johann H Karstens59
, Marina Bermisheva61
, Darya Prokofieva61
, Elza Khusnutdinova61
,
Annika Lindblom62
, Sara Margolin63
, Arto Mannermaa64–66
, Vesa Kataja65,67,68
, Veli-Matti Kosma64–66
, Jaana MHartikainen64–66
, Diether
Lambrechts69
, Betul T Yesilyurt69
, Giuseppe Floris70
, Karin Leunen70
, Siranoush Manoukian71
, Bernardo Bonanni72
, Stefano Fortuzzi73
, Paolo
Nature Genetics: doi:10.1038/ng.1049
Peterlongo73,74
, Fergus J Couch75,76
, Xianshu Wang75
, Kristen Stevens76
, Adam Lee77
, Graham G Giles25,78
, Laura Baglietto25,78
, Gianluca Severi25,78
,
Catriona McLean79
, Grethe Grenaker Alnæs80
, Vessela Kristensen80,81
, Anne-Lise Børrensen-Dale80,81
, Esther MJohn49,82
, Alexander Miron83
,
Robert Winqvist84
, Katri Pylkäs84
, Arja Jukkola-Vuorinen85
, Saila Kauppila86
, Irene LAndrulis87,88
, Gord Glendon89
, Anna Marie Mulligan90,91
,
Peter Devilee92,93
, Christie J van Asperen94
, Rob A E M Tollenaar95
, Caroline Seynaeve96
, Jonine D Figueroa27
, Montserrat Garcia-Closas4,97
, Louise
Brinton27
, Jolanta Lissowska98
, Maartje J Hooning99
, Antoinette Hollestelle100
, Rogier A Oldenburg101
, Ans M W van den Ouweland101
, Angela
Cox102
, Malcolm W R Reed103
, Mitul Shah1, Ania Jakubowska
104, Jan Lubinski
104, Katarzyna Jaworska
104, Katarzyna Durda
104, Michael Jones
97,
Minouk Schoemaker97
, Alan Ashworth2, Anthony Swerdlow
97, Jonathan Beesley
105, Xiaoqing Chen
105, kConFab Investigators
10, Australian Ovarian
Cancer Study Group10
, Kenneth R Muir106
, Artitaya Lophatananon106
, Suthee Rattanamongkongul107
, Arkom Chaiwerawattana108
, Daehee Kang109
,
Keun-Young Yoo109
, Dong-Young Noh109
, Chen-Yang Shen110
, Jyh-Cherng Yu111
, Pei-Ei Wu110
, Chia-Ni Hsiung110
, Annie Perkins112
, Ruth
Swann112
, Louiza Velentzis112
, Diana M Eccles113
, Will J Tapper113
, Susan M Gerty113
, Nikki J Graham113
, Bruce A J Ponder114,115
, Georgia
Chenevix-Trench105
, Paul D P Pharoah1,3
, Mark Lathrop116,117
, Alison M Dunning1, Nazneen Rahman
4, Julian Peto
7 & Douglas F Easton
1,3
1Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
2Breakthrough Breast Cancer Research Centre,
Institute of Cancer Research, London, UK. 3Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge,
Cambridge, UK. 4Section of Cancer Genetics, Institute of Cancer Research, Sutton, UK.
5Department of Experimental Therapy, Netherlands Cancer Institute,
Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands. 6Department of Epidemiology, Netherlands Cancer Institute, Antoni van Leeuwenhoek
Hospital, Amsterdam, The Netherlands. 7Non-Communicable Disease Epidemiology Department, London School of Hygiene and Tropical Medicine, London,
UK. 8Department of Clinical Genetics, Section Oncogenetics, VU University Medical Center, Amsterdam, The Netherlands.
9Department of Internal Medicine
and Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. 10
A full list of contributing authors is provided in the Supplementary Note. 11
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 12
Department of Obstetrics and Gynecology, University of
Helsinki and Helsinki University Central Hospital, Helsinki, Finland. 13
Human Genetics Division, Genome Institute of Singapore, Singapore. 14
Department of
Clinical Genetics, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland. 15
Department of Oncology, University of Helsinki and
Helsinki University Central Hospital, Helsinki, Finland. 16
Clinic of Gynaecology and Obstetrics, Division for Gynaecological Tumor Genetics, Technische
Universität München, Munich, Germany. 17
Department of Obstetrics and Gynaecology, Division of Molecular Gynaeco-Oncology, University of Cologne,
Cologne, Germany. 18
Max Planck Institute of Psychiatry, Munich, Germany. 19
Institute of Human Genetics, Helmholtz Zentrum München, German Research
Center for Environmental Health, Neuherberg, Germany. 20
Division of Cancer Epidemiology, Deutsches Krebsforschungszentrum, Heidelberg, Germany. 21
PMV
Nature Genetics: doi:10.1038/ng.1049
((Primär Medizinische Versorgung) Research Group at the Department of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Cologne,
Germany. 22
Department of Cancer Epidemiology/Clinical Cancer Registry, University Clinic Hamburg-Eppendorf, Hamburg, Germany. 23
Institute for Medical
Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg, Germany. 24
Genetic Epidemiology Laboratory, Department of Pathology, The
University of Melbourne, Melbourne, Victoria, Australia. 25
Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, Melbourne School of
Population Health, The University of Melbourne, Melbourne, Victoria, Australia. 26
Program in Molecular and Genetic Epidemiology, Harvard School of Public
Health, Boston, Massachusetts, USA. 27
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA. 28
Department of
Clinical Genetics, Family Cancer Clinic, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands. 29
Department of
Molecular Pathology, Family Cancer Clinic, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands. 30
Department of
Gynecology and Obstetrics, University Breast Center, University Hospital Erlangen, Erlangen, Germany. 31
Institute of Human Genetics, Friedrich-Alexander
University Erlangen Nuremberg, Erlangen, Germany. 32
Division of Cancer Studies, National Institute for Health Research (NIHR) Comprehensive Biomedical
Research Centre, Guy’s & St. Thomas’ National Health Service (NHS) Foundation Trust, London, UK. 33
Division of Cancer Studies, King’s College London,
London, UK. 34
Wellcome Trust Centre for Human Genetics and Oxford Biomedical Research Centre, University of Oxford, Oxford, UK. 35
Clinical Science
Institute, University Hospital Galway, Galway, Ireland. 36
Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany. 37
National
Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany. 38
Molecular Epidemiology Unit, German Cancer Research Center (DKFZ),
Heidelberg, Germany. 39
Institut National de la Santé et la Recherche Médicale (Inserm), Centre for Research in Epidemiology and Population Health (CESP),
U1018, Environmental Epidemiology of Cancer, Villejuif, France. 40
Université Paris-Sud, UMRS (Unité Mixte de Recherche en Santé) 1018, Villejuif, France. 41
Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark. 42
Department of Clinical Biochemistry,
Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark. 43
Department of Breast Surgery, Herlev Hospital, Copenhagen University Hospital,
Copenhagen, Denmark. 44
Genetic & Molecular Epidemiology Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO),
Madrid, Spain. 45
Human Genotyping Unit, Human Cancer Genetics Programme, CNIO, Madrid, Spain. 46
Human Genetics Group, Human Cancer Genetics
Programme, CNIO, Madrid, Spain. 47
Department of Epidemiology, University of California–Irvine, Irvine, California, USA. 48
City of Hope Cancer Centre,
Duarte, California, USA. 49
Cancer Prevention Institute of California, Fremont, California, USA. 50
Division of Clinical Epidemiology and Aging Research,
German Cancer Research Center (DKFZ), Heidelberg, Germany. 51
Saarland Cancer Registry, Saarbrücken, Germany. 52
Dr. Margarete Fischer-Bosch-Institute of
Clinical Pharmacology, Stuttgart, Germany. 53
University of Tübingen, Tübingen, Germany. 54
Institute for Prevention and Occupational Medicine of the German
Social Accident Insurance (IPA), Bochum, Germany. 55
Molecular Genetics of Breast Cancer, DKFZ, Heidelberg, Germany. 56
Department of Internal Medicine,
Evangelische Kliniken Bonn, Johanniter Krankenhaus, Bonn, Germany. 57
Department of Obstetrics and Gynecology, University of Ulm, Ulm, Germany. 58
Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany. 59
Department of Radiation Oncology, Hannover Medical School,
Hannover, Germany. 60
N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus. 61
Institute of Biochemistry and Genetics, Ufa
Scientific Center of the Russian Academy of Sciences, Ufa, Russia. 62
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden. 63
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden. 64
Department of Pathology and Forensic Medicine, School of Medicine,
Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland. 65
Biocenter Kuopio, University of Eastern Finland, Kuopio, Finland. 66
Department
of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland. 67
Department of Oncology, School of Medicine, Institute of Clinical Medicine, University of
Eastern Finland, Kuopio, Finland. 68
Department of Oncology, Kuopio University Hospital, Kuopio, Finland. 69
Vesalius Research Center (VRC), Vlaams Instituut
voor Biotechnologie (VIB), Leuven, Belgium. 70
Multidisciplinary Breast Center, University Hospital Gasthuisberg, Leuven, Belgium. 71
Unit of Medical Genetics,
Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico) Istituto Nazionale Tumori (INT),
Nature Genetics: doi:10.1038/ng.1049
Milan, Italy. 72
Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia (IEO), Milan, Italy. 73
Istituto FIRC (Fondazione Italiana per la Ricerca
sul Cancero) di Oncologia Molecolare (IFOM), Milan, Italy. 74
Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and
Predictive Medicine, Fondazione IRCCS INT, Milan, Italy. 75
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA. 76
Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA. 77
Department of Pharmacology, Mayo Clinic, Rochester, Minnesota, USA. 78
Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria, Australia. 79
Department of Anatomical Pathology, Alfred Hospital,
Melbourne, Victoria, Australia. 80
Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Oslo, Norway. 81
Institute
for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. 82
Division of Epidemiology, Department of Health Research Policy, Stanford
University School of Medicine, Stanford, California, USA. 83
Dana Farber Cancer Center, Boston, Massachusetts, USA. 84
Laboratory of Cancer Genetics,
Department of Clinical Genetics and Biocenter Oulu, University of Oulu, Oulu University Hospital, Oulu, Finland. 85
Department of Oncology, University of
Oulu, Oulu University Hospital, Oulu, Finland. 86
Department of Pathology, University of Oulu, Oulu University Hospital, Oulu, Finland. 87
Fred A. Litwin Center
for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada. 88
Department of Molecular Genetics, University of
Toronto, Toronto, Ontario, Canada. 89
Ontario Cancer Genetics Network, Cancer Care Ontario, Toronto, Ontario, Canada. 90
Department of Laboratory Medicine
and Pathobiology, University of Toronto, Toronto, Ontario, Canada. 91
Department of Laboratory Medicine and the Keenan Research Centre of the Li Ka Shing
Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada. 92
Department of Human Genetics, Leiden University Medical Centre, Leiden, The
Netherlands. 93
Department of Pathology, Leiden University Medical Centre, Leiden, The Netherlands. 94
Department of Clinical Genetics, Leiden University
Medical Centre, Leiden, The Netherlands. 95
Department of Surgery, Leiden University Medical Centre, Leiden, The Netherlands. 96
Department of Medical
Oncology, Rotterdam Family Cancer Clinic, Erasmus MC–Daniel den Hoed Cancer Center, Rotterdam, The Netherlands. 97
Section of Epidemiology, Institute of
Cancer Research, Sutton, UK. 98
Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology,
Warsaw, Poland. 99
Department of Medical Oncology, Family Cancer Clinic, Erasmus University Medical Center, Rotterdam, The Netherlands. 100
Department of
Medical Oncology, Josephine Nefkens Institute, Erasmus University Medical Center, Rotterdam, The Netherlands. 101
Department of Clinical Genetics, Family
Cancer Clinic, Erasmus University Medical Center, Rotterdam, The Netherlands. 102
Institute for Cancer Studies, Department of Oncology, University of
Sheffield, Sheffield, UK. 103
Academic Unit of Surgical Oncology, Department of Oncology, University of Sheffield, Sheffield, UK. 104
Department of Genetics
and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland. 105
Queensland Institute of Medical Research,
Brisbane, Queensland, Australia. 106
Warwick Medical School, Warwick University, Coventry, UK. 107
Department of Preventive Medicine, Srinakharainwirot
University, Ongkharak, Thailand. 108
Department of Academic Support, The National Cancer Institute of Thailand, Ministry of Public Health, Bangkok, Thailand. 109
Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
110Institute of Biomedical Sciences, Academia Sinica,
Taipei, Taiwan. 111
Department of Surgery, Tri-Service General Hospital, Taipei, Taiwan. 112
Against Breast Cancer Research Group, Department of Molecular and
Applied Biosciences, University of Westminster, London, UK. 113
Faculty of Medicine, University of Southampton, Southampton, UK. 114
Department of
Oncology, University of Cambridge, Cambridge, UK. 115
Cancer Research UK (CRUK) Cambridge Research Institute, Cambridge, UK. 116
Centre National de
Genotypage, Evry, France. 117
Fondation Jean Dausset–Centre d’Etude de Polymorphisme Humaine (CEPH), Paris, France.
Nature Genetics: doi:10.1038/ng.1049
Supplementary Tables
Supplementary Table 1. Genotype specific ORs among women of European ancestry, and evidence for heterogeneity in the per-allele OR among
studies, in the BCAC replication.
SNP Chromosome
Position
Het OR
(95%CI)
HomOR
(95%CI)
Heterogeneity P
rs10771399
12p11
280463471
0.85
(0.82-0.88)
0.72
(0.64-0.82)
0.09
rs1292011 12q24
114320905
0.93
(0.90-0.96)
0.85
(0.82-0.89)
0.10
rs2823093 21q21 15442703
0.94
(0.91-0.97)
0.87
(0.83-0.92)
0.002
1 Build 36
Nature Genetics: doi:10.1038/ng.1049
Supplementary Table 2. Summary results for all SNPs typed in the BCAC replication stage.
SNP Chr.
Position1 Alleles AF2 UK2 BBCS Other GWAS Combined
P
Per-
allele OR
(95%CI) P Per-allele
OR
(95%CI) P Per-
allele
OR
(95%CI) P
rs3738863 2 30311065 GA 0.732 1.17 (1.09-1.25) 1.6x10-5
1.08 (0.99-1.18) 0.089 1.03 (0.96-1.10) 0.39 0.00059
rs6734368 2 58422570 GA 0.81 1.14 (1.06-1.24) 0.00087 1.06 (0.96-1.17) 0.27 0.93 (0.87-1.00) 0.044 0.47
rs1028246/ rs1403400
$ 2 114319652
TC 0.915 1.22 (1.09-1.36) 0.00044 1.14 (0.98-1.32) 0.090 1.02 (0.92-1.14) 0.64 0.0047
rs13400898 2 154583859 TC 0.062 0.82 (0.72-0.94) 0.0033 0.97 (0.83-1.14) 0.71 1.12 (0.99-1.27) 0.081 0.50
rs10469689 2 163968309 TC 0.058 0.81 (0.71-0.93) 0.0024 0.99 (0.84-1.16) 0.87 0.93 (0.83-1.03) 0.17 0.0083
rs11711782 3 149160340 GA 0.119 0.99 (0.90-1.09) 0.81 0.90 (0.80-1.03) 0.12 0.96 (0.89-1.05) 0.38 0.23
rs9884706 4 32275985 TG 0.844 1.16 (1.07-1.27) 0.00048 1.13 (1.01-1.26) 0.031 1.03 (0.96-1.11) 0.40 0.0019
rs2166278 4 32286120 TC 0.844 1.16 (1.07-1.26) 0.00058 1.13 (1.01-1.26) 0.033 1.03 (0.96-1.11) 0.43 0.0023
rs4403040 4 87257505 TC 0.357 1.11 (1.05-1.19) 0.00088 1.05 (0.97-1.15) 0.23 0.97 (0.91-1.03) 0.29 0.14
rs9761051 4 120233038 CA 0.147 1.16 (1.07-1.27) 0.00056 1.12 (1.01-1.26) 0.041 0.97 (0.90-1.05) 0.50 0.042
rs10940235 5 49672510 TG 0.541 1.04 (0.97-1.10) 0.26 1.12 (1.03-1.21) 0.0060 1.05 (0.99-1.11) 0.080 0.0060
rs820848 5 74000416 GA 0.711 1.13 (1.06-1.21) 0.00034 1.04 (0.93-1.16) 0.50 1.00 (0.93-1.08) 0.92 0.022
rs187727 5 75439941 GA 0.277 1.12 (1.05-1.20) 0.00084 1.09 (1.00-1.19) 0.059 0.99 (0.93-1.06) 0.86 0.029
rs4704018 5 84299468 TC 0.624 1.12 (1.05-1.19) 0.00041 1.08 (0.99-1.17) 0.075 0.98 (0.93-1.04) 0.49 0.044
rs11241138 5 111169939 CA 0.29 0.90 (0.84-0.96) 0.0013 0.90 (0.82-0.99) 0.029 0.99 (0.93-1.05) 0.65 0.0095
rs13160298 5 157728895 GA 0.642 0.98 (0.92-1.04) 0.52 1.06 (0.97-1.15) 0.19 1.06 (1.00-1.13) 0.037 0.15
rs12203592 6 341321 TC 0.772 0.95 (0.88-1.03) 0.20 0.91 (0.74-1.11) 0.35 1.02 (0.92-1.14) 0.66 0.39
rs9467504 6 25522304 GA 0.837 0.84 (0.77-0.91) 2.1x10-5
0.91 (0.81-1.02) 0.12 1.00 (0.93-1.08) 0.95 0.0029
rs12333016 6 107205884 GA 0.9 0.83 (0.75-0.92) 0.00037 1.01 (0.88-1.15) 0.93 1.08 (0.98-1.18) 0.10 0.45
rs9401003 6 117824996 GA 0.781 0.89 (0.83-0.96) 0.0026 1.00 (0.90-1.10) 0.94 0.91 (0.85-0.98) 0.011 0.00065
rs2189630 7 8695731 TG 0.655 0.89 (0.84-0.95) 0.00050 0.92 (0.85-1.00) 0.044 1.04 (0.98-1.11) 0.22 0.085
rs7810604 7 11387506 TC 0.371 0.89 (0.84-0.95) 0.00038 0.87 (0.80-0.94) 0.00064 0.98 (0.93-1.04) 0.60 0.00081
rs1981576 7 82057361 TC 0.087 0.81 (0.72-0.90) 0.00015 0.91 (0.77-1.07) 0.25 1.05 (0.95-1.16) 0.34 0.10
rs1011692 7 121347247 TC 0.123 0.85 (0.78-0.94) 0.00076 0.95 (0.84-1.06) 0.35 1.07 (0.99-1.16) 0.084 0.46
rs2617076 8 4432582 CA 0.4 1.11 (1.04-1.18) 0.0016 0.99 (0.91-1.07) 0.78 0.99 (0.94-1.05) 0.83 0.14
rs4872360 8 22084613 TC 0.259 0.84 (0.78-0.90) 2.1x10-6
0.91 (0.83-1.00) 0.054 0.99 (0.93-1.06) 0.86 0.00099
rs2211914 8 102738843 GA 0.612 0.99 (0.93-1.05) 0.73 0.93 (0.86-1.01) 0.084 0.93 (0.88-0.99) 0.013 0.012
rs4268201+
9 36878148 TG 0.862 0.86 (0.78-0.93) 0.00040 0.96 (0.86-1.08) 0.50 0.99 (0.91-1.07) 0.72 0.020
rs1952461 9 78412404 GA 0.047 1.18 (0.96-1.45) 0.12 1.02 (0.72-1.45) 0.90 0.91 (0.76-1.08) 0.27 0.92
rs1932658 9 86005570 GA 0.727 0.87 (0.81-0.93) 8.3x10-5
0.96 (0.88-1.05) 0.42 0.97 (0.91-1.03) 0.36 0.0029
Nature Genetics: doi:10.1038/ng.1049
rs12350727 9 93304437 GA 0.942 0.80 (0.70-0.91) 0.00065 1.05 (0.88-1.26) 0.60 0.96 (0.86-1.08) 0.55 0.039
rs4455975 9 128423020 GA 0.449 1.07 (1.00-1.13) 0.044 1.08 (1.00-1.17) 0.061 1.08 (1.02-1.14) 0.0091 0.00056
rs7074055 10 12665442 GA 0.769 0.90 (0.83-0.96) 0.0028 1.02 (0.91-1.13) 0.75 1.00 (0.93-1.07) 0.89 0.098
rs4746065 10 72183963 CA 0.227 0.88 (0.82-0.95) 0.00074 0.91 (0.82-1.00) 0.039 1.06 (0.99-1.13) 0.083 0.20
rs7116850 11 27602106 GA 0.731 1.15 (1.07-1.23) 8.4x10-5
1.10 (1.00-1.20) 0.042 0.98 (0.92-1.04) 0.47 0.028
rs11604821 11 69061318 GA 0.665 0.87 (0.82-0.93) 4.6x10-5
0.92 (0.85-1.00) 0.054 1.02 (0.96-1.08) 0.47 0.022
rs2284424 12 13880137 GA 0.296 1.12 (1.05-1.20) 0.00083 1.03 (0.95-1.12) 0.50 1.01 (0.95-1.07) 0.84 0.034
rs10771399 12 28046347 GA 0.893 1.27 (1.15-1.41) 3.1x10-6
1.19 (1.05-1.36) 0.0079 1.21 (1.10-1.33) 5.7x10-5
5.7x10-10
rs1975930 12 28053015 TC 0.107 0.79 (0.71-0.87) 2.9x10-6
0.84 (0.74-0.96) 0.0081 0.83 (0.75-0.91) 5.4x10-5
5.3x10-10
rs1292011 12 114320905 GA 0.586 1.14 (1.07-1.21) 5.8x10-5
1.05 (0.97-1.14) 0.23 1.10 (1.04-1.17) 0.00083 9.5x10-7
rs7955262 12 114691345 TC 0.103 1.22 (1.10-1.35) 0.00012 1.06 (0.92-1.22) 0.43 1.02 (0.93-1.12) 0.62 0.0054
rs9586525 13 103922680 TC 0.185 1.16 (1.07-1.25) 0.00026 1.03 (0.92-1.14) 0.63 1.01 (0.94-1.08) 0.86 0.021
rs3784194 14 31993377 TC 0.827 0.94 (0.87-1.02) 0.12 0.95 (0.85-1.05) 0.30 0.96 (0.90-1.04) 0.33 0.066
rs1263441 14 82695911 GA 0.715 1.14 (1.06-1.22) 0.00023 1.03 (0.95-1.13) 0.45 0.99 (0.93-1.05) 0.64 0.067
rs10484150 14 82707696 TC 0.715 1.14 (1.06-1.22) 0.00018 1.04 (0.95-1.13) 0.43 0.98 (0.93-1.05) 0.61 0.063
rs2277509 14 90819348 CA 0.697 1.13 (1.06-1.21) 0.00035 1.00 (0.92-1.09) 0.98 0.99 (0.93-1.05) 0.78 0.085
rs3101649 15 25607717 GA 0.062 1.22 (1.08-1.38) 0.0020 1.08 (0.85-1.36) 0.54 1.05 (0.93-1.18) 0.45 0.010
rs12443310 15 52387367 TC 0.911 0.82 (0.74-0.91) 0.00024 0.88 (0.76-1.01) 0.075 0.95 (0.86-1.06) 0.37 0.0013
rs1873062 17 3292880 TC 0.19 0.86 (0.80-0.93) 0.00022 0.91 (0.82-1.00) 0.051 0.96 (0.90-1.03) 0.29 0.00095
rs1990236 17 11806187 GA 0.189 1.16 (1.07-1.25) 0.00025 1.12 (1.01-1.24) 0.032 1.10 (1.03-1.18) 0.0082 6.6x10-6
rs231020 17 15103114 TC 0.52 0.88 (0.83-0.93) 3.7x10-5
0.95 (0.88-1.03) 0.18 1.05 (0.99-1.11) 0.088 0.14
rs1526123 17 41139123 TC 0.463 0.90 (0.84-0.95) 0.00047 0.89 (0.82-0.97) 0.0063 0.95 (0.90-1.01) 0.11 8.8x10-5
rs7206949 17 41602794 CA 0.396 1.14 (1.07-1.21) 6.4x10-5
1.30 (1.13-1.49) 0.00021 0.98 (0.92-1.05) 0.55 0.0078
rs2668632* 17 41675143 AG 0.758 1.13 (1.05-1.22) 0.0011 0.0011
rs2532348* 17 41696030 GA 0.762 1.13 (1.05-1.22) 0.0011 0.0011
rs199523* 17 42203685 CA 0.743 1.15 (1.07-1.24) .00011 .00011
rs4968451 17 57282089 CA 0.842 0.84 (0.77-0.91) 1.9x10-5
0.90 (0.81-1.00) 0.055 0.99 (0.92-1.06) 0.72 0.0022
rs4522464 17 57553912 TG 0.135 1.20 (1.10-1.31) 5.0x10-5
1.14 (1.00-1.30) 0.047 0.99 (0.92-1.08) 0.87 0.0070
rs2233768 17 64656171 TC 0.949 0.81 (0.71-0.93) 0.0035 0.94 (0.78-1.13) 0.52 1.05 (0.93-1.18) 0.46 0.23
rs12606686 18 9032622 GA 0.082 1.18 (1.06-1.32) 0.0036 0.91 (0.77-1.07) 0.23 1.03 (0.92-1.15) 0.63 0.096
rs1175745 18 22841047 CA 0.601 1.07 (1.01-1.14) 0.028 1.14 (1.05-1.23) 0.0018 1.05 (1.00-1.12) 0.066 0.00055
rs3886058 18 33702576 GA 0.44 0.95 (0.89-1.01) 0.097 0.92 (0.85-1.00) 0.057 0.99 (0.93-1.05) 0.68 0.084
rs8098165 18 65319547 TC 0.685 1.03 (0.96-1.10) 0.41 1.01 (0.93-1.10) 0.73 1.09 (1.02-1.15) 0.0057 0.011
rs4536550 18 69099471 GA 0.303 1.01 (0.94-1.08) 0.82 1.12 (1.02-1.21) 0.013 0.99 (0.93-1.05) 0.70 0.54
rs2163823 19 43684018 GA 0.247 0.90 (0.83-0.96) 0.0027 1.06 (0.96-1.16) 0.23 0.93 (0.87-0.99) 0.020 0.0038
rs6027564 20 58389556 GA 0.901 1.15 (1.03-1.27) 0.0095 0.99 (0.86-1.15) 0.94 1.03 (0.94-1.13) 0.55 0.11
rs2823093 21 15442703 GA 0.262 0.96 (0.89-1.03) 0.21 0.83 (0.76-0.92) 0.00013 0.91 (0.85-0.97) 0.0032 9.5x10-5
rs2837766 21 40950152 TC 0.615 1.12 (1.05-1.19) 0.00036 1.12 (1.03-1.21) 0.0068 1.00 (0.94-1.06) 0.94 0.0067
rs7285871 22 16242268 TC 0.437 0.89 (0.84-0.95) 0.00042 0.90 (0.83-0.98) 0.012 1.00 (0.94-1.06) 0.96 0.0055
rs1541326 22 18034452 GA 0.292 1.16 (1.08-1.24) 1.4x10-5
1.01 (0.92-1.10) 0.89 0.99 (0.93-1.06) 0.72 0.024
rs547043 X 150007811 GA 0.448 1.18 (1.10-1.28) 1.3x10-5
1.20 (1.09-1.31) 8.6x10-5
1.03 (0.97-1.10) 0.31 7.9x10-5
Nature Genetics: doi:10.1038/ng.1049
(b) GWAS+BCAC replication
rs5970292 X 151231436 GA 0.644 0.85 (0.79-0.92) 2.5x10-5
0.91 (0.83-1.00) 0.060 0.93 (0.87-0.99) 0.020 2.1x10-5
rs6627588 X 151264915 CA 0.274 1.20 (1.11-1.31) 7.5x10-6
1.18 (1.05-1.32) 0.0065 1.12 (1.05-1.20) 0.0014 1.1x10-7
SNP Chr.
Position1 Alleles AF2 All GWAS BCAC Combined
P
Per-
allele
OR
(95%CI) P Per-
allele
OR
(95%CI) P
rs3738863 2 30311065 GA 0.732 1.08 (1.03-1.13) 0.00059 1.00 (0.98-1.02) 0.87 0.15
rs6734368 2 58422570 GA 0.81 1.02 (0.97-1.07) 0.47 1.02 (0.99-1.05) 0.12 0.084
rs1028246/ rs1403400
$ 2 114319652
TC 0.915 1.11 (1.03-1.19) 0.0047 1.04 (0.98-1.11) 0.20 0.0043
rs13400898 2 154583859 TC 0.062 0.97 (0.89-1.06) 0.50 0.98 (0.91-1.07) 0.68 0.45
rs10469689 2 163968309 TC 0.058 0.90 (0.83-0.97) 0.0083 1.02 (0.98-1.06) 0.30 0.77
rs11711782 3 149160340 GA 0.119 0.96 (0.91-1.02) 0.23 1.00 (0.97-1.03) 0.76 0.41
rs9884706 4 32275985 TG 0.844 1.09 (1.03-1.15) 0.0019 1.01 (0.96-1.06) 0.76 0.018
rs2166278 4 32286120 TC 0.844 1.09 (1.03-1.14) 0.0023 1.01 (0.96-1.06) 0.82 0.024
rs4403040 4 87257505 TC 0.357 1.03 (0.99-1.07) 0.14 1.03 (1.01-1.05) 0.0067 0.0020
rs9761051 4 120233038 CA 0.147 1.06 (1.00-1.12) 0.042 0.99 (0.94-1.04) 0.63 0.29
rs10940235 5 49672510 TG 0.541 1.06 (1.02-1.10) 0.0060 1.03 (1.01-1.05) 0.0016 6.0x10-5
rs820848 5 74000416 GA 0.711 1.06 (1.01-1.11) 0.022 1.00 (0.98-1.02) 0.92 0.30
rs187727 5 75439941 GA 0.277 1.05 (1.01-1.10) 0.029 1.01 (0.97-1.05) 0.68 0.069
rs4704018 5 84299468 TC 0.624 1.04 (1.00-1.08) 0.044 1.00 (0.97-1.04) 0.85 0.13
rs11241138 5 111169939 CA 0.29 0.94 (0.91-0.99) 0.0095 0.99 (0.97-1.01) 0.39 0.051
rs13160298 5 157728895 GA 0.642 1.03 (0.99-1.07) 0.15 0.98 (0.93-1.02) 0.21 0.63
rs12203592 6 341321 TC 0.772 0.97 (0.91-1.04) 0.39 1.01 (0.97-1.04) 0.73 0.90
rs9467504 6 25522304 GA 0.837 0.92 (0.87-0.97) 0.0029 1.01 (0.96-1.06) 0.71 0.082
rs12333016 6 107205884 GA 0.9 0.98 (0.91-1.04) 0.45 1.02 (0.96-1.09) 0.43 0.96
rs9401003 6 117824996 GA 0.781 0.92 (0.88-0.97) 0.00065 1.00 (0.96-1.05) 0.91 0.022
rs2189630 7 8695731 TG 0.655 0.96 (0.92-1.01) 0.085 1.01 (0.98-1.03) 0.60 0.75
rs7810604 7 11387506 TC 0.371 0.93 (0.90-0.97) 0.00081 1.00 (0.97-1.02) 0.65 0.052
rs1981576 7 82057361 TC 0.087 0.94 (0.88-1.01) 0.10 1.00 (0.94-1.06) 0.90 0.24
rs1011692 7 121347247 TC 0.123 0.98 (0.93-1.04) 0.46 0.99 (0.90-1.08) 0.81 0.45
rs2617076 8 4432582 CA 0.4 1.03 (0.99-1.07) 0.14 1.00 (0.96-1.04) 1.0 0.31
rs4872360 8 22084613 TC 0.259 0.93 (0.89-0.97) 0.00099 0.99 (0.97-1.02) 0.63 0.053
Nature Genetics: doi:10.1038/ng.1049
rs2211914 8 102738843 GA 0.612 0.95 (0.91-0.99) 0.012 1.00 (0.96-1.04) 0.88 0.066
rs4268201 9 36878148 TG 0.862 0.94 (0.89-0.99) 0.020 0.99 (0.96-1.02) 0.54 0.098
rs1952461 9 78412404 GA 0.047 0.99 (0.87-1.13) 0.92 0.98 (0.91-1.05) 0.51 0.53
rs1932658 9 86005570 GA 0.727 0.94 (0.90-0.98) 0.0029 1.02 (0.99-1.05) 0.12 0.79
rs12350727 9 93304437 GA 0.942 0.92 (0.84-1.00) 0.039 1.00 (0.93-1.08) 0.96 0.15
rs4455975 9 128423020 GA 0.449 1.07 (1.03-1.11) 0.00056 1.02 (0.98-1.06) 0.30 0.0017
rs7074055 10 12665442 GA 0.769 0.96 (0.92-1.01) 0.098 0.99 (0.95-1.04) 0.68 0.15
rs4746065 10 72183963 CA 0.227 0.97 (0.93-1.02) 0.20 1.01 (0.99-1.04) 0.24 0.66
rs7116850 11 27602106 GA 0.731 1.05 (1.01-1.10) 0.028 0.97 (0.93-1.01) 0.11 0.73
rs11604821 11 69061318 GA 0.665 0.95 (0.91-0.99) 0.022 0.97 (0.93-1.01) 0.093 0.0053
rs2284424 12 13880137 GA 0.296 1.05 (1.00-1.09) 0.034 1.03 (0.99-1.07) 0.17 0.014
rs10771399 12 28046347 GA 0.893 1.22 (1.15-1.31) 5.7x10-10
1.18 (1.14-1.21) 3.3x10-27
2.7x10-35
rs1975930 12 28053015 TC 0.107 0.82 (0.77-0.87) 5.3x10-10
0.83 (0.79-0.87) 1.4x10-15
5.7x10-24
rs1292011 12 114320905 GA 0.586 1.10 (1.06-1.15) 9.5x10-7
1.08 (1.06-1.10) 6.2x10-14
4.8x10-19
rs7955262 12 114691345 TC 0.103 1.10 (1.03-1.17) 0.0054 1.04 (0.98-1.10) 0.18 0.0042
rs9586525 13 103922680 TC 0.185 1.06 (1.01-1.12) 0.021 1.03 (0.98-1.08) 0.27 0.016
rs3784194 14 31993377 TC 0.827 0.95 (0.91-1.00) 0.066 1.03 (1.00-1.05) 0.034 0.30
rs1263441 14 82695911 GA 0.715 1.04 (1.00-1.09) 0.067 1.06 (0.99-1.14) 0.089 0.015
rs10484150 14 82707696 TC 0.715 1.04 (1.00-1.09) 0.063 1.05 (0.92-1.21) 0.48 0.047
rs2277509 14 90819348 CA 0.697 1.04 (0.99-1.08) 0.085 1.04 (1.00-1.08) 0.060 0.011
rs3101649 15 25607717 GA 0.062 1.12 (1.03-1.22) 0.010 1.00 (0.96-1.04) 0.98 0.28
rs12443310 15 52387367 TC 0.911 0.89 (0.83-0.96) 0.0013 1.04 (1.00-1.08) 0.043 0.85
rs1873062 17 3292880 TC 0.19 0.92 (0.88-0.97) 0.00095 0.97 (0.93-1.02) 0.19 0.0013
rs1990236 17 11806187 GA 0.189 1.12 (1.07-1.18) 6.6x10-6
1.02 (0.99-1.05) 0.12 0.00052
rs231020 17 15103114 TC 0.52 0.97 (0.93-1.01) 0.14 0.99 (0.96-1.03) 0.77 0.22
rs1526123 17 41139123 TC 0.463 0.92 (0.89-0.96) 8.8x10-5
0.99 (0.96-1.03) 0.76 0.0038
rs7206949 17 41602794 CA 0.396 1.06 (1.02-1.11) 0.0078 1.01 (0.98-1.05) 0.48 0.024
rs2668632* 17 41675143 AG 0.758 1.13 (1.05-1.22) 0.0011 1.05 (1.01-1.10) 0.028 0.00031
rs2532348* 17 41696030 GA 0.762 1.13 (1.05-1.22) 0.0011 1.08 (1.04-1.12) 7.8x10-5
5.8x10-7
rs199523* 17 42203685 CA 0.743 1.15 (1.07-1.24) .00011 1.12 (1.03-1.21) 0.0063 2.6x10-6
rs4968451 17 57282089 CA 0.842 0.92 (0.88-0.97) 0.0022 0.98 (0.93-1.03) 0.34 0.0048
rs4522464 17 57553912 TG 0.135 1.08 (1.02-1.15) 0.0070 1.02 (0.97-1.08) 0.38 0.014
rs2233768 17 64656171 TC 0.949 0.95 (0.87-1.03) 0.23 1.05 (0.96-1.14) 0.29 0.93
rs12606686 18 9032622 GA 0.082 1.07 (0.99-1.15) 0.096 0.98 (0.94-1.02) 0.39 0.95
rs1175745 18 22841047 CA 0.601 1.07 (1.03-1.12) 0.00055 1.00 (0.97-1.04) 0.80 0.010
rs3886058 18 33702576 GA 0.44 0.97 (0.93-1.00) 0.084 0.99 (0.97-1.01) 0.60 0.20
rs8098165 18 65319547 TC 0.685 1.05 (1.01-1.10) 0.011 0.98 (0.95-1.00) 0.048 0.64
rs4536550 18 69099471 GA 0.303 1.01 (0.97-1.06) 0.54 1.01 (0.97-1.05) 0.74 0.51
rs2163823 19 43684018 GA 0.247 0.94 (0.89-0.98) 0.0038 1.01 (0.96-1.05) 0.82 0.054
rs6027564 20 58389556 GA 0.901 1.06 (0.99-1.13) 0.11 1.08 (1.02-1.15) 0.010 0.0029
rs2823093 21 15442703 GA 0.262 0.92 (0.88-0.96) 9.5x10-5
0.94 (0.92-0.96) 1.7x10-9
1.1x10-12
Nature Genetics: doi:10.1038/ng.1049
1 Build 36
2 Frequency of the 2
nd listed allele
* SNPs not on HapMap 2, GWAS results from genotyped data (UK2 only)
+ SNP not on HapMap 2, GWAS results imputed from HapMap3
$ GWAS results for SNP rs1028246, surrogate rs1403400 typed in the BCAC replication
rs2837766 21 40950152 TC 0.615 1.06 (1.02-1.10) 0.0067 0.97 (0.94-1.01) 0.18 0.38
rs7285871 22 16242268 TC 0.437 0.94 (0.91-0.98) 0.0055 0.98 (0.95-1.02) 0.40 0.013
rs1541326 22 18034452 GA 0.292 1.05 (1.01-1.10) 0.024 0.97 (0.95-0.99) 0.012 0.22
rs547043 X 150007811 GA 0.448 1.10 (1.05-1.15) 7.9x10-5
1.02 (0.98-1.05) 0.40 0.0018
rs5970292 X 151231436 GA 0.644 0.90 (0.86-0.95) 2.1x10-5
1.02 (1.00-1.04) 0.13 0.71
rs6627588 X 151264915 CA 0.274 1.15 (1.09-1.21) 1.1x10-7
1.03 (0.99-1.07) 0.20 2.0x10-5
Nature Genetics: doi:10.1038/ng.1049
Supplementary Table 3. Estimated per-allele ORs for Asian women from BCAC.
SNP Chromosome
Position
MAF Per-allele
OR
(95%CI)
P P for
difference
with OR for
European
women
rs10771399
12p11
28046347
0.11 0.85
(0.77-0.94)
0.002
0.93
rs1292011 12q24
114320905
0.41 0.95
(0.85-1.07)
0.43
0.59
rs2823093 21q21 15442703
0.26 1.14
(0.93-1.40)
0.20
0.058
Nature Genetics: doi:10.1038/ng.1049
Supplementary Table 4. Estimated per-allele ORs by ER-status, DCIS vs invasive disease, and age at diagnosis from the BCAC replication.
(a) Estimated ORs by ER-status
SNP Chromosome
Position
No.
Controls
No.
ER+ cases
ER+
Per-allele
OR
(95%CI)
P No.
ER- cases
ER-
Per-allele
OR
(95%CI)
P P-diff
rs10771399
12p11
28046347
48,368 24,775 0.87
(0.84-0.90)
4.5x10-14
7,122 0.85
(0.80-0.90)
6.3x10-8
.46
rs1292011 12q24
114320905
40,739 18,394 0.90
(0.87-0.92)
2.0x10-15
5,167 0.99
(0.94-1.03)
.55 .0001
rs2823093 21q21 15442703
46,063 21,409 0.93
(0.90-0.95)
4.6x10-8
6,093 0.99 (0.95-
1.04)
.72 .02
(b) Estimated ORs for DCIS.
SNP No. controls No. DCIS
cases
Chromosome
Position
Per-allele
OR
(95%CI)
P
(vs.controls)
P
(vs.invasive
disease)
rs10771399
33,767 2,148 12p11
28046347
0.89
(0.80-0.99)
.026
0.50
rs1292011 28,588 1,566 12q24
114320905
0.92
(0.86-1.00)
.043
0.80
rs2823093 31,543 1,881 21q21 15442703
0.94
(0.87-1.01)
.11
0.39
Nature Genetics: doi:10.1038/ng.1049
(c) Estimated per-allele ORs by age-group.
SNP Age group P-trend
<40 40-49 50-59 60+
rs10771399 0.83
(0.75-0.92)
0.81
(0.75-0.87)
0.86
(0.81-0.91)
0.88
(0.84-0.93)
.31
rs1292011 0.96
(0.90-1.04)
0.91
(0.87-0.96)
0.93
(0.89-0.96)
0.92
(0.89-0.95)
.25
rs2823093 0.96
(0.90-1.04)
0.94
(0.90-0.99)
0.92
(0.89-0.96)
0.94
(0.91-0.97)
.58
Nature Genetics: doi:10.1038/ng.1049
Supplementary Table 5. Estimated per-allele ORs among studies in which cases were selected or unselected for family history/bilaterality from the
BCAC replication.
SNP Unselected studies Selected studies P diff
Per-allele
OR
(95%CI)
P Per-allele OR
(95%CI)
P
rs10771399
0.86
(0.83-0.89)
8.6x10-21
0.79
(0.73-0.85)
4.4x10-10
.027
rs1292011 0.92
(0.90-0.95)
4.1x10-21
0.92
(0.87-0.97)
.0013 .80
rs2823093 0.94
(0.92-0.96)
3.9x10-8
0.91
(0.86-0.97)
.0017 .31
Nature Genetics: doi:10.1038/ng.1049
Supplementary Table 6. Genome-wide association studies contributing to the current analysis.
Study Country Case
ascertainment
Control
ascertainment
Genotyping
platform
Cases1
Controls1
Reference
ABCFS/kConFab Australia Recruitment
through cancer
registries in
Victoria and
New South
Wales
Recruitment
from the
electoral rolls
in Melbourne
and Sydney
matched to
cases by age
in-5 year
categories
Illumina 610k 282 285 1
BBCS UK Recruitment
through cancer
registries in UK,
predominantly
bilateral cases
WTCCC2:
1958 Birth
Cohort + UK
National Blood
Service
Illumina 370k
(cases)
Illumina 1.2M
(controls)
1609 5190 2
CGEMS USA Postmenopausal
cases from
Nurses Health
Study
Individually
matched
controls from
Nurses Health
Study
Illumina 550k 1127 1130 3
GC-HBOC Germany BRCA1/2
mutation
negative cases
from University
Clinics in
Cologne and
Munich
KORA
(Cooperative
Health
Research in the
Region
Augsburg)
Affymetrix 5.0k
(cases)
Affymetrix 6.0k
(controls)
634 477 4
MARIE Germany Random sample
of cases from the
MARIE study,
but restricted to
KORA
(Cooperative
Health
Research in the
Illumina 370k
(cases)
Illumina 550k
(controls)
708 470 5
Nature Genetics: doi:10.1038/ng.1049
ductal and
lobular
carcinomas and
oversampled for
lobular (about
2:1)
Region
Augsburg)
HEBCS Finland Unselected cases
plus additional
familial cases
from Helsinki
University
Central Hospital
Healthy
Population
Controls from
Finnish
Genome
Centre
(NordicDB)
Illumina 550k +
610k (cases)
Illumina 370k
(controls)
810 1012 6, 7
SASBAC Sweden Population-
based case
control study of
postmenopausal
women
Population-
based controls
frequency
matched by
age to cases
Illumina
317k+240k
(cases)
Illumina 550k
(controls)
790 756 7
UK2 UK UK cancer
genetics clinics
+ oncology
clinicas
WTCCC2:
1958 Birth
Cohort + UK
National Blood
Service
Illumina 670k
(cases)
Illumina 1.2M
(controls)
3628 5190 8
DFBBCS Netherlands BRCA1/2
mutation
negative familial
bilateral breast
cancer patients
selected from
five clinical
genetics centers;
Erasmus
University
Medical
Controls were
from the
Rotterdam
study, and are
55 years or
older at the
time of
inclusion. For
this study
females were
selected and
Illumina 610k
(cases)
Illumina 550k
(controls)
464 3255 9
Nature Genetics: doi:10.1038/ng.1049
Center/Daniel
den Hoed, The
Netherlands
Cancer Institute,
Leiden
University
Medical Center,
University
Medical Center
Utrecht, and VU
University
Medical Center.
breast cancer
cases were
excluded.
1Final numbers used in the analysis, after QC.
Nature Genetics: doi:10.1038/ng.1049
Supplementary Table 7. Participating studies in the BCAC replication phase.
Study
Acronym
Study Name
[Reference]
Country
Recruitment base
Cases Controls
STUDIES OF WHITE EUROPEAN WOMEN
ABCFR Australian Breast
Cancer Family Study 1
Australia
Cancer registries in Victoria and New South Wales
(1992-1999): all cases from Melbourne and Sydney
diagnosed before age 40 plus a random sample of
those diagnosed at ages 40-59
Identified between 1992-1999 from the electoral
rolls in Melbourne and Sydney (enrolling to vote is
compulsory); frequency matched to cases by age in-
5 year categories
ABCS Amsterdam Breast
Cancer Study 10
Netherlands
(ABCS-F) All non-BRCA1/2 breast cancer cases
from the family cancer clinic of the NKI-AVL
tested in the period 1995-2009; all ages and
diagnosed with breast cancer in 1965-2008..
Randomly selected women from population-based
prospective cohort studies, aged <50 at baseline
(1987-1991 and 1993-1997) and from the same
areas as cases.
BBCC
Bavarian Breast
Cancer Cases and
Controls 11
Germany
Consecutive, unselected cases with invasive breast
cancer recruited at the University Breast Centre,
Franconia in Northern Bavaria from 2002-2006
Healthy women aged 55 or older with no diagnosis
of cancer. Invited by a newspaper advertisement in
Northern Bavaria between 2002-2006
BBCS British Breast Cancer
Study 2
U.K.
(i) English & Scottish Cancer Registries: all breast
cancer cases who developed a first primary before
age 66 in 1971 or later and who subsequently
developed a second primary cancer
(ii) Breast Cancer Clinics: all breast cancer cases
who developed a first primary before age 71 in 1967
or later and who either subsequently developed a
second primary or had at least two affected female
first-degree relatives.
All recruited from 2001-2008.
A friend, sister-in-law, daughter-in-law or other
non-blood relative of cases, recruited from 2001-
2008
BIGGS
Breast Cancer in
Galway Genetic Study 12
Ireland
Unselected cases recruited from University College
Hospital Galway and surrounding hospitals in the
West of Ireland since 2001
Women > 60 years with no personal history of any
cancer and no family history of breast or ovarian
cancer identified from retirement groups in the West
of Ireland between 2001-2008.
BSUCH
Breast Cancer Study of
the University Clinic
Heidelberg 13
Germany All cases diagnosed with breast cancer in 2007-2009
at the University Women`s Clinic Heidelberg
Female blood donors recruited in 2007- 2009 at the
Institute of Transfusion Medicine & Immunology,
Mannheim.
Nature Genetics: doi:10.1038/ng.1049
CECILE CECILE Breast cancer
study 14
France
All cases diagnosed with breast cancer in 2005-2007
among women <75 years of age residing in the
départements of Ille-et-Vilaine and Côte d'Or .
Cases were recruited from the main cancer
treatment center (Centre Eugène-Marquis in Rennes
and Centre Georges-François-Leclerc in Dijon) and
from other private or public hospitals in each area.
General population control women residing in the
same areas as the cases (Ille-et-Vilaine and Côte
d’Or). Controls were frequency-matched to the
cases by 5-year age groups. They were recruited in
2005-2007 using a random digit dialing procedure
and quotas by socioeconomic status to reflect the
distribution by SES of the population in each area.
CGPS Copenhagen General
Population Study 15
Denmark
Consecutive, incident cases from one hospital with
centralized care for a population of 400,000 women
in Copenhagen (2001-present)
Women with no history of breast cancer residing in
the same region as cases identified from the
Copenhagen General Population Study (2003-2007)
CNIO-BCS
Spanish National
Cancer Centre Breast
Cancer Study 16
Spain
(i) consecutive breast cancer patients from three
public hospitals, two in Madrid and one in Oviedo;
(ii) cases with at least one affected first degree
relative recruited through the CNIO family cancer
clinic in Madrid (2000-2005)
Women attending the Menopause Research Centre,
Madrid and female members of the College of
Lawyers attending a free, targeted medical check-up
in Madrid, all free of breast cancer and all in Madrid
between 2000-2005
CTS California Teachers
Study 17
USA
Nested case-control study conducted within a cohort
of California teachers (113,590) who were under
age 80 years at baseline, had no prior history of
invasive or in situ breast cancer. Cases are
women newly diagnosed with a histologically
confirmed invasive primary adenocarcinoma of the
breast at age 80 years or younger from 1998 to
2008.
Controls are a probability sample of at-risk cohort
members, frequency matched to cases on age at
baseline (5-year age
groups), self-reported race/ethnicity (white, African
American, Latina,Asian, other), and broad
geographic region within California
Controls were selected without replacement, using
an assigned reference
date.
ESTHER ESTHER Breast
Cancer Study 18
Germany
Breast cancer cases in all hospitals in the state of
Saarland, from 2001-2003 (ESTHER) and 1996-
1998 (VERDI)
Random sample of women a routine health check-
up in Saarland, in 2000-2002; frequency matched to
cases by age in-5 year categories
GC-HBOC German Familial
Breast Cancer Study 4
Germany
Index patients from German breast cancer families;
BRCA1/2 mutation free, collected 1996-2007 via
Institute of Human Genetics, University Heidelberg
Department of Gynaecology & Obstetrics, Cologne
& Department of Gynaecology and Obstetrics at the
Ludwig-Maximilians-University, Munich
Female blood donors recruited in 2004 & 2007 at
the Institute of Transfusion Medicine &
Immunology, Mannheim.
GENICA Gene Environment Germany Incident breast cancer cases enrolled at hospitals Random address sample selected in 2001-2004 from
Nature Genetics: doi:10.1038/ng.1049
Interaction & Breast
Cancer in Germany 19,
20
in the Greater Bonn area between 2000-2004 31 population registries in the greater Bonn area;
frequency matched to cases on year of birth in 5-
year categories
GESBC
Genetic Epidemiology
Study of Breast Cancer
by Age 50 21
Germany
All incident cases diagnosed <50 years of age in
1992-5 in two regions: Rhein-Neckar-Odenwald and
Freiburg, by surveying the 38 clinics serving these
regions
Selected from random lists of residents of the study
regions supplied by population registries; two
controls were selected for each case, matched by
age and study region. Recruitment was carried out
1992-1998.
HABCS Hannover Breast
Cancer Study 22
Germany
Cases who received radiotherapy for breast cancer
at Hannover Medical School 1995-2003
Female blood bank donors at Hannover Medical
School, collected in 2005
HEBCS Helsinki Breast Cancer
Study Finland
(1) Consecutive cases (883) from the Department
of Oncology, Helsinki University Central Hospital
1997-8 and 2000, (2) Consecutive cases (986) from
the Department of Surgery, Helsinki University
Central Hospital 2001 – 2004, (3) Familial breast
cancer patients (536) from the Helsinki University
Central Hospital, Departments of Oncology and
Clinical Genetics (1995-)
Healthy females from the same geographical region
in Southern Finland in 2003.
HMBCS Hannover-Minsk
Breast Cancer Study 23
Belarus
Cases from the Byelorussian Institute for Oncology
and Medical Radiology Aleksandrov N.N. in Minsk
or at one of 5 regional oncology centers in Gomel,
Mogilev, Grodno, Brest or Vitebsk (2002-2008)
Women attending general medical examination at
gynecology clinics in Gomel, Mogilev, Grodno,
Brest or Vitebsk; women attending the Institute for
Inherited Diseases in Minsk; female blood donors in
Minsk; healthy relatives of cases (2002-2008)
Nature Genetics: doi:10.1038/ng.1049
HUBCS Hannover-Ufa Breast
Cancer Study 23
Russia
Consecutive cancer patients diagnosed at two
participating oncological centers in Bashkorstostan
and Siberia between 2000-2008
Healthy volunteers selected from poulation studies
in the same geographical regions during 2002-2008.
KARBAC Karolinska Breast
Cancer Study Sweden
1. Familial cases from Department of Clinical
Genetics, Karolinska University Hospital ,
Stockholm. 2. Consecutive cases from Department
of Oncology, Huddinge & Söder Hospital,
Stockholm 1998-2000
Blood donors of mixed gender from same
geographical region. Excess material was received
from all blood donors over a 3 month period in 2004
(approximately 3000) and DNA was extracted from
a random sample of 1500
KBCP Kuopio Breast Cancer
Project 24
Finland
Women seen at Kuopio University Hospital
between 1990-1995 because of a breast lump,
mammographic abnormality, or other breast
symptom and who were found to have breast cancer
Selected from the National Population Register
between 1990-1995; age and long-term area-of-
residence matched to cases
kConFab/
AOCS
Kathleen Cuningham
Foundation
Consortium for
Research into Familial
Breast Cancer /
Australian Ovarian
Cancer Study 25
Australia
Index (youngest affected) cases from BRCA1- and
BRCA2-mutation-negative multiple-case breast and
breast-ovarian families recruited though family
cancer clinics from across Australia and New
Zealand from 1998-present
Identified from the electoral rolls from across
Australia as part of the Australian Ovarian Cancer
Study in 2002-2006
LMBC
Leuven
Multidisciplinary
Breast Centre 26
Belgium
All patients diagnosed with breast cancer and seen
in the Multidisciplinary Breast Center in Leuven
(Gashuisberg) since June 2007 plus retrospective
collection of cases diagnosed since 2000
Blood donors at Gasthuisberg Hospital (200-2008)
MARIE
Mammary Carcinoma
Risk Factor
Investigation 5
Germany
Incident cases diagnosed from 2001-2005 in the
study region Hamburg in Northern Germany, and
from 2002-2005 in the study region Rhein-Neckar-
Karlsruhe in Southern Germany.
2 controls per case were randomly drawn from
population registries and frequency matched by
birth year and study region to the case. Controls
were recruited from 2002 to 2006.
MBCSG Milan Breast Cancer
Study Group 27
Italy
Familial and/or early onset breast cancer patients
(aged 22-87) negative for mutations in BRCA1 and
BRCA2, ascertained at two large cancer centers in
Milan from 2000-present
Female blood donors recruited at two centres in
Milan from 2004-present and 2007-present
MCBCS Mayo Clinic Breast
Cancer Study 28
U.S.A.
Incident cases residing in 6 states (MN, WI, IA, IL,
ND, SD) seen at the Mayo Clinic in Rochester, MN
from 2002-2010
Women presenting for general medical examination
at the Mayo Clinic from 2002-2010; frequency
matched to cases on age, ethnicity and county/state
Nature Genetics: doi:10.1038/ng.1049
MCCS
Melbourne
Collaborative Cohort
Study 29
Australia
Incident cases from the cohort of 24,469 women,
diagnosed during the follow-up from baseline
(1990-1994) to 2008
Random sample of the initial cohort
NBCS Norwegian Breast
Cancer Study 30
Norway
Incidence cases from three different hospitals:
Ullevål Univ. Hospital 1990-94, Norwegian Radium
Hospital 1975-1986 and 1995-1998, Haukeland
Univ. Hospital 1992-2001
Women residing in Tromsø and Bergen who
attended the Norwegian Breast Cancer Screening
Program.
NC-BCFR
Northern California
Breast Cancer Family
Registry 31
U.S.A.
Incident cases aged <65 years identified through the
SEER cancer registry of the Greater San Francisco
Bay Area from 1995-2003. All cases likely at
increased genetic risk were selected; 2.5% of white
cases not meeting these criteria were randomly
sampled
Identified through random digit dialling conducted
in the same geographic region from 1999-2000;
frequency matched to cases diagnosed from 1995-
1998 on 5-year age group and race/ethnicity
OBCS Oulu Breast Cancer
Study 32
Finland
Consecutive incident cases diagnosed at the Oulu
University Hospital between 2000-2004
Female blood donors recruited in 2002 from the
same geographical region in Northern Finland
OFBCR Ontario Familial Breast
Cancer Registry 31
Canada
Invasive cases aged 20-54 years
identified from the Ontario Cancer Registry from
1996-1998. All those at high genetic risk were
eligible; random samples of women not meeting
these criteria were also asked to participate.
Identified by calling randomly selected residential
telephone numbers in the same geographical region
from 1998-2001; frequency matched to cases by age
in 5 year categories
ORIGO
Leiden University
Medical Centre Breast
Cancer Study 33, 34
Netherlands
Consecutive case patients diagnosed 1996–2006 in
2 hospitals in South–West Netherlands (Leiden &
Rotterdam). No selection for family history;
Rotterdam case patients selected for diagnosis aged
<70. Case patients with in situ carcinomas eligible.
(1) Blood bank healthy donors from Southwest
Netherlands recruited in 1996, 2000 or 2007; (2)
People who married a person who was part of a
family with high breast cancer risk (BRCA1/2/x).
From the Southwest of the Netherlands, recruited
1990–1996; (3) Females tested at the local clinical
genetics department for familial diseases, excluding
familial cancer syndromes (no mutation found in
gene(s) related to the disease being tested), recruited
1995–2007.
PBCS NCI Polish Breast
Cancer Study 35
Poland
Incident cases identified through a rapid
identification system in participating hospitals
covering ~ 90% of all eligible cases, and cancer
registries in Warsaw and Łódź covering 100% of all
eligible cases (2000-2003)
Randomly selected from population lists of all
residents of Poland from 2000-2003, stratified and
frequency matched to cases on city and age in 5-
year categories
Nature Genetics: doi:10.1038/ng.1049
RBCS Rotterdam Breast
Cancer Study 36
Netherlands
Familial breast cancer patients selected from the
clinical genetics center at Erasmus Medical Center
between 1994-2005
Spouses or mutation-negative siblings of
heterozygous Cystic Fibrosis mutation carriers
selected from the clinical genetics centre at Erasmus
Medical Center between 1996-2006
SASBAC Singapore and Sweden
Breast Cancer Study 37
Sweden
Women diagnosed in Sweden aged 50-74 in 1993-
1995
Population-based controls frequency matched by
age to the caases
SBCS Sheffield Breast
Cancer Study 38
U.K.
Women with breast cancer recruited in 1998-2005 at
surgical outpatient clinics at the Royal Hallamshire
Hospital, Sheffield
Unselected women attending the Sheffield
Mammography Screening Service in 2000-2004
with no evidence of a breast lesion
SEARCH
Study of Epidemiology
& Risk Factors in
Cancer Heredity 39
U.K.
Identified through the East Anglian Cancer
Registry: (i) 1991-1996: alive, prevalent cases
diagnosed before age 55; (ii) since 1996: incident
cases diagnosed before age 70 diagnosed after 1996
(a) Women from the same geographic region
selected from the EPIC-Norfolk cohort study, 1992-
1994 (b) women attending GP practices, frequency
matched to cases by age and geographic region
(2003-present)
Nature Genetics: doi:10.1038/ng.1049
SZBCS IHCC-Szczecin Breast
Cancer Study 40
Poland
Prospectively ascertained cases of invasive breast
cancer patients diagnosed at the Regional Oncology
Hospital (2002-2003 and 2006-2007) or the
University Hospital (2002-2007), both in Szczecin,
West Pomerania, Poland.
Selected from a population-based study of the 1.3
million inhabitants of West Pomerania (2003-2004);
matched to cases for year of birth, sex and region
UCIBCS UCI Breast Cancer
Study 41
U.S.A.
All cases diagnosed in Orange County, California
from 1994-1995; ascertained through the
population-based Cancer Surveillance Program of
Orange County California (CSPOC)
Recruited from 1998-2003 using random digit
dialling among Orange County residents; frequency
matched to cases by age and race/ethnicity
UKBGS Breakthrough
Generations Study UK
All cohort members who had had breast cancer or in
situ breast cancer before entry into the Breakthrough
Generations Study (cohort of >100,000 women
followed up for breast cancer, recruited from the
UK during 2003-2011).
Women who had not had breast cancer or in situ
breast cancer before entry into the cohort study
selected by 1:1 matching to cases on date of birth,
year of entry in to the study (2003-2009) source of
recruitment, blood sample and ethnicity.
STUDIES OF ASIAN WOMEN
ACP Asian Cancer Project Thailand
Cases from oncology centres in Thailand that
underwent biopsy and had been pathologically
diagnosed as having breast cancer.
Hospital based controls are women who were
admitted to the same hospital as the cases with
diseases not related to cancer or metabolic
syndromes such as diabetes, heart diseases or
conditions related to gynaecology.
SEBCS Seoul Breast Cancer
Study 42
South Korea
Consecutive, incident, cases from 2 hospitals in
Seoul recruited between 2001-2005
Women from same catchment area and participating
in annual health check-up (2001-2005)
TWBCS Taiwanese Breast
Cancer Study 43
Taiwan
Incident cases diagnosed & treated at 2 major
teaching hospitals in Taiwan between 2002-2005
Randomly selected women attending a health
examination at same hospitals between 2002-2005
Nature Genetics: doi:10.1038/ng.1049
Supplementary Note
Acknowledgements
The UK2 GWAS was funded by Wellcome Trust and Cancer Research UK. It included
samples collected through the FBCS study which is funded by Cancer Research UK
[C8620/A8372]. The WTCCC was funded by the Wellcome Trust. BCAC is funded by CR-
UK [C1287/A10118, C1287/A12014] and by the European Community's Seventh Framework
Programme under grant agreement n° 223175 (HEALTH-F2-2009-223175) (COGS).
Meetings of the BCAC have been funded by the European Union COST programme
[BM0606]. DFE is a Principal Research Fellow of Cancer Research UK. MG was supported
by the Lebanese National Council for Scientific Research. The ABCFS study was supported
by the National Health and Medical Research Council of Australia, the New South Wales
Cancer Council, the Victorian Health Promotion Foundation (Australia), and the National
Cancer Institute, National Institutes of Health under RFA-CA-06-503 and through
cooperative agreements with members of the Breast Cancer Family Registry (CFR) and PI’s.
The University of Melbourne (U01 CA69638) contributed data to this study. The content of
this manuscript does not necessarily reflect the views or the policies of the National Cancer
Institute or an of the collaborating centres in the CFR, nor does mention of trade names,
commercial products or organizations imply endorsement by the US Government or the CFR.
We extend our thanks to the many women and their families that generously participated in
the Australian Breast Cancer Family Study and consented to us accessing their pathology
material. JLH is a National Health and Medical Research Council Australia Fellow. MCS is
a National Health and Medical Research Council Senior Research Fellow. JLH and MCS are
both group leaders of the Victoria Breast Cancer Research Consortium. The ABCS is funded
by grants from the Dutch Cancer Society [NKI 2007-3839] and the Dutch National Genomics
Initiative. MKS is supported by the Dutch Cancer Society [NKI 2009-4363]. The ABCS
would like to acknowledge Sten Cornelissen, Richard van Hien, Linde Braaf , Laura Van’t
Veer (NKI-AVL), and Bas Bueno-de-Mesquita for the release of control samples as well as
Sander Canisius. The BBCS is funded by Cancer Research UK and Breakthrough Breast
Cancer and acknowledges NHS funding to the NIHR Biomedical Research Centre, and the
National Cancer Research Network (NCRN). The BBCS GWAS received funding from The
Institut National de Cancer. The work of the BBCC was partly funded by ELAN-Fond of the
University Hospital of Erlangen. ES (BIGGS) is supported by NIHR Comprehensive
Nature Genetics: doi:10.1038/ng.1049
Biomedical Research Centre, Guy's & St. Thomas' NHS Foundation Trust in partnership with
King's College London. IT is supported by the Oxford Biomedical Research Centre. We thank
Niall McInerney, Gabrielle Colleran, Andrew Rowan and Nicola Miller for their support. The
BSUCH study was supported by the Dietmar-Hopp Foundation, the Helmholtz society and
the German Cancer Research Center (DKFZ). We thank Anne Langheinz for genotyping. The
CECILE study was funded by Fondation de France [contract grant number 2004012618 and
2007005156] ; Institut National du Cancer (INCa) [2007-1/SPC2, 2008-1-CP-4 and 2009-1-
SHS/SP-04], Association pour la Recherche contre le Cancer (ARC) [2008-1-CP-4] ; Agence
Française de Sécurité Sanitaire de l’Environnement et du Travail (AFSSET - ANSES) [ST-
2005-003, EST2008/1/26, and VS-2009-21]; Ligue contre le Cancer Grand Ouest. The CGPS
was supported by the Chief Physician Johan Boserup and Lise Boserup Fund, the Danish
Medical Research Council and Herlev Hospital. The CNIO-BCS was supported by the
Genome Spain Foundation, the Red Temática de Investigación Cooperativa en Cáncer and
grants from the Asociación Española Contra el Cáncer and the Fondo de Investigación
Sanitario (PI081583 and PI081120). We acknowledge the support of José Ignacio Arias
Pérez, Pilar Zamora, Primitiva Menendez, Tais Moreno and Guillermo Pita. The CTS was
supported by National Cancer Institute grant #CA 77398. The DFBBCS GWAS was funded
by The Netherlands Organisation for Scientific Research (NWO) as part of a ZonMw/VIDI
grant number 91756341. We thank Muriel Adank for selecting the samples and Margreet
Ausems, Christi van Asperen, Senno Verhoef, and Rogier van Oldenburg for providing
samples from their Clinical Genetic centers. The ESTHER study was supported by a grant
from the Baden Württemberg Ministry of Science, Research and Arts. Additional cases were
recruited in the context of the VERDI study, which was supported by a grant from the
German Cancer Aid (Deutsche Krebshilfe). The GC-HBOC was supported by Deutsche
Krebshilfe [107054], the Dietmar-Hopp Foundation, the Helmholtz society and the German
Cancer Research Centre (DKFZ). The GC-HBOC GWAS was supported by the German
Cancer Aid (grant no. 107352). GENICA was funded by the Federal Ministry of Education
and Research (BMBF) Germany grants 01KW9975/5, 01KW9976/8, 01KW9977/0 and
01KW0114, the Robert Bosch Foundation, Stuttgart, Deutsches Krebsforschungszentrum
(DKFZ), Heidelberg, Institute for Prevention and Occupational Medicine of the German
Social Accident Insurance (IPA), Bochum, as well as the Department of Internal Medicine,
Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany. The
following investigators participate in the GENICA Network: Dr. Margarete Fischer-Bosch-
Institute of Clinical Pharmacology, Stuttgart; University of Tübingen, Germany (CJ, HB),
Nature Genetics: doi:10.1038/ng.1049
Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ),
Heidelberg, Germany (Ute Hamann); Department of Internal Medicine, Evangelische
Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany (Yon-Dschun Ko,
Christian Baisch), Institute of Pathology, University of Bonn, Bonn, Germany (Hans-Peter
Fischer); Institute for Prevention and Occupational Medicine of the German Social Accident
Insurance (IPA), Bochum, Germany (TB, Beate Pesch, Sylvia Rabstein, Volker Harth). The
GESBC was supported by the Deutsche Krebshilfe e. V. [70492] and genotyping in part by
the state of Baden-Württemberg through the Medical Faculty of the University of Ulm
[P.685]. HABCS has been supported by the Rudolf Bartling Foundation. The HEBCS study
has been financially supported by the Helsinki University Central Hospital Research Fund,
Academy of Finland (132473), the Finnish Cancer Society, The Nordic Cancer Union and the
Sigrid Juselius Foundation. The population allele and genotype frequencies were obtained
from the data source funded by the Nordic Center of Excellence in Disease Genetics based on
samples regionally selected from Finland, Sweden and Denmark. We thank Drs. Kirsimari
Aaltonen, Päivi Heikkilä, Tuomas Heikkinen and Dario Greco and RN Hanna Jäntti and Irja
Erkkilä for their help with the HEBCS data and samples. HMBCS has been supported by
fellowships to N.B. from the German Academic Exchange Program, DAAD, and from the
Friends of Hannover Medical School. HUBCS has been supported by a grant from the
German Federal Ministry of Research and Education, BMBF (RUS08/017). KARBAC is
supported by the Swedish Cancer Society, the Stockholm Cancer Society, the Gustav V
Jubilee foundation and the Bert von Kantzow foundation. The KBCP was financially
supported by the special Government Funding (EVO) of Kuopio University Hospital grants,
Cancer Fund of North Savo, the Finnish Cancer Organizations, The Academy of Finland and
by the strategic funding of the University of Eastern Finland. We thank Helena Kemiläinen,
Eija Myöhänen and Aija Parkkinen. kConFab is supported by grants from the National
Breast Cancer Foundation, the NHMRC, the Queensland Cancer Fund, the Cancer Councils
of New South Wales, Victoria, Tasmania and South Australia and the Cancer Foundation of
Western Australia. The kConFab Clinical Follow Up Study was funded by the NHMRC
[145684, 288704, 454508]. Financial support for the AOCS was provided by the United
States Army Medical Research and Materiel Command [DAMD17-01-1-0729], the Cancer
Council of Tasmania and Cancer Foundation of Western Australia and the NHMRC
[199600]. G.C.T. and P.W. are supported by the NHMRC. LMBC is supported by the
'Stichting tegen Kanker' (232-2008 and 196-2010). The MARIE study was supported by the
Deutsche Krebshilfe e.V. [70-2892-BR I], the Hamburg Cancer Society, the German Cancer
Nature Genetics: doi:10.1038/ng.1049
Research Center and the genotype work in part by the Federal Ministry of Education and
Research (BMBF) Germany [01KH0402]. MARIE would like to thank Tracy Slanger and
Elke Mutschelknauss for their valuable contributions, and S. Behrens, R. Birr, M.Celik, U.
Eilber, B. Kaspereit, N. Knese and K. Smit for their excellent technical assistance. MBCSG is
supported by a grant from Associazione Italiana per la Ricerca sul Cancro (4017) and funds
from Italian citizens who allocated the 5/1000 share of their tax payment in support of the
Fondazione IRCCS Istituto Nazionale Tumori, according to Italian laws (INT-Institutional
strategic projects “5x1000). MBCSG thanks Paolo Radice, Bernard Peissel, Monica Barile,
Marco A. Pierotti and the personnel of the Cancer Genetics Test laboratory. MCBCS was
supported by National Institutes of Health grant CA122340 and a Specialized Program of
Research Excellence (SPORE) in Breast Cancer (CA116201), and grants from the Komen
Foundation for the Cure and the Breast Cancer Research Foundation (BCRF). MCCS cohort
recruitment was funded by VicHealth and Cancer Council Victoria. The MCCS was further
supported by Australian NHMRC grants 209057, 251553 and 504711 and by infrastructure
provided by Cancer Council Victoria. The NBCS was supported by grants from the
Norwegian Research council, 155218/V40, 175240/S10 to ALBD, FUGE-NFR 181600/V11
to VNK and a Swizz Bridge Award to ALBD. The NC-BCFR and OFBCR work was
supported by the United States National Cancer Institute, National Institutes of Health (NIH)
under RFA-CA-06-503 and through cooperative agreements with members of the Breast
Cancer Family Registry (BCFR) and Principal Investigators, including Cancer Care Ontario
(U01 CA69467), and Northern California Cancer Center (U01 CA69417). The content of this
manuscript does not necessarily reflect the views or policies of the National Cancer Institute
or any of the collaborating centers in the BCFR, nor does mention of trade names,
commercial products, or organizations imply endorsement by the US Government or the
BCFR. Samples from the NC-BCFR were processed and distributed by the Coriell Institute
for Medical Research. We thank Teresa Selander, Mona Gill, Lucine Collins, Nayana
Weerasooriya and members of the Ontario Familial Breast Cancer Registry (OFBCR) for
contributions to the study. OBCS is funded by the Finnish Cancer Foundation, The Academy
of Finland, the University of Oulu, Biocenter Oulu, the Oulu University Hospital. OBCS
acknowledges the assistance of Mervi Grip, Kari Mononen and Meeri Otsukka. ORIGO was
funded by grants from the Dutch Cancer Society (UL1997-1505) and the Biobanking and
Biomolecular Resources Research Infrastructure (BBMRI-NL CP16). We thank E. Krol-
Warmerdam, and J. Blom. The PBCS was funded by Intramural Research Funds of the
National Cancer Institute, Department of Health and Human Services, USA. The RBCS was
Nature Genetics: doi:10.1038/ng.1049
funded by the Dutch Cancer Society (DDHK 2004-3124, DDHK 2009-4318). The SASBAC
study was supported by funding from the Agency for Science, Technology and Research of
Singapore (A*STAR), the US National Institute of Health (NIH) and the Susan G. Komen
Breast Cancer Foundation. SBCS was funded by Yorkshire Cancer Research. SEARCH is
funded by grants from Cancer Research UK [C8197/A10123, C8197/A10123 and
C490/A10124]. AMD has been supported by Cancer Research UK grant [C8197/A10865] and
by the Joseph Mitchell Fund. SZBCS was supported by Grant PBZ_KBN_122/P05/2004;
Katarzyna Jaworska is a fellow of International PhD program, Postgraduate School of
Molecular Medicine, Warsaw Medical University, supported by the Polish Foundation of
Science. The UCIBCS component of this research was supported by the NIH [CA58860,
CA92044] and the Lon V Smith Foundation [LVS39420]. The UKBGS was funded by
Breakthrough Breast Cancer and the Institute of Cancer Research. We thank the study
participants, health staff, and BGS study team members who contributed to the blood sample
and data collection. The Institute of Cancer Research acknowledges NHS funding to the
NIHR Biomedical Research Centre. The ACP study is funded by the Breast Cancer Research
Trust, UK. The ACP study wishes to thank the participants in the Thai Breast Cancer study.
Special thanks also go to the Thai Ministry of Public Health (MOPH), doctors and nurses who
helped with the data collection process. The study would like to thank Dr Prat
Boonyawongviroj, the former Permanent Secretary of MOPH and Dr Pornthep
Siriwanarungsan, the Department Director-General of Disease Control who have supported
the study throughout. The SEBCS was supported by the Korea Health 21 R&D Project
[AO30001], Ministry of Health and Welfare, Republic of Korea. The TWBCS is supported
by the Taiwan Biobank project of the Institute of Biomedical Sciences, Academia Sinica,
Taiwan. CGEMS. The Nurses’ Health Studies are supported by NIH grants CA 65725,
CA87969, CA49449, CA67262, CA50385 and 5UO1CA098233.
Nature Genetics: doi:10.1038/ng.1049
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Jeffers, I. Jobson, W. Jones, M.J. Kennedy, S. Kenwrick, C. Kightley, C. Kirk, L. Kirk, E.
Kivuva, A. Kumar, F. Lalloo, N. Lambord, C. Langman, P. Leonard, S. Levene, S. Locker, P.
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Slater, K. Smith, L. Snadden, J. Soloway, Y. Stait, B. Stayner, M. Steel, C. Steel, H. Stewart, D.
Stirling, M. Thomas, S. Thomas, S. Tomkins, H. Turner, E. Tyler, E. Wakeling, F. Waldrup, L.
Walker, C. Watt, S. Watts, A. Webber, C. Whyte, J. Wiggins, E. Williams, L. Winchester.
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