Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci

被引:0
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作者
Hongjie Chen
Shaoqi Fan
Jennifer Stone
Deborah J. Thompson
Julie Douglas
Shuai Li
Christopher Scott
Manjeet K. Bolla
Qin Wang
Joe Dennis
Kyriaki Michailidou
Christopher Li
Ulrike Peters
John L. Hopper
Melissa C. Southey
Tu Nguyen-Dumont
Tuong L. Nguyen
Peter A. Fasching
Annika Behrens
Gemma Cadby
Rachel A. Murphy
Kristan Aronson
Anthony Howell
Susan Astley
Fergus Couch
Janet Olson
Roger L. Milne
Graham G. Giles
Christopher A. Haiman
Gertraud Maskarinec
Stacey Winham
Esther M. John
Allison Kurian
Heather Eliassen
Irene Andrulis
D. Gareth Evans
William G. Newman
Per Hall
Kamila Czene
Anthony Swerdlow
Michael Jones
Marina Pollan
Pablo Fernandez-Navarro
Daniel S. McConnell
Vessela N. Kristensen
Joseph H. Rothstein
Pei Wang
Laurel A. Habel
Weiva Sieh
Alison M. Dunning
机构
[1] University of Washington,Department of Epidemiology, School of Public Health
[2] National Cancer Institute,Division of Cancer Epidemiology and Genetics
[3] University of Western Australia,School of Population and Global Health
[4] University of Cambridge,Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care
[5] University of Michigan Medical School,Department of Human Genetics
[6] Skidmore College,Department of Mathematics and Statistics
[7] The University of Melbourne,Centre for Epidemiology and Biostatistics, School of Population and Global Health
[8] Monash University,Precision Medicine, School of Clinical Sciences at Monash Health
[9] Mayo Clinic,Department of Health Sciences Research
[10] The Cyprus Institute of Neurology and Genetics,Biostatistics Unit
[11] Cyprus School of Molecular Medicine,Public Health Sciences Division
[12] Fred Hutchinson Cancer Research Center,Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER
[13] University Hospital Erlangen,EMN
[14] Friedrich-Alexander University Erlangen-Nuremberg,Cancer Control Research, BC Cancer and School of Population and Public Health
[15] University of British Columbia,Public Health Sciences
[16] Queen’s University,Division of Cancer Sciences
[17] University of Manchester,Division of Informatics, Imaging and Data Sciences
[18] University of Manchester,Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine
[19] Cancer Epidemiology Division,Epidemiology Program
[20] University of Southern California,Department of Epidemiology and Population Health
[21] University of Hawaii Cancer Center,Department of Medicine (Oncology)
[22] Stanford University School of Medicine,Stanford Cancer Institute
[23] Stanford University School of Medicine,Department of Epidemiology
[24] Stanford University School of Medicine,Channing Division of Network Medicine, Department of Medicine
[25] Harvard T.H. Chan School of Public Health,Fred A. Litwin Center for Cancer Genetics
[26] Brigham and Women’s Hospital and Harvard Medical School,Department of Molecular Genetics
[27] Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital,Division of Evolution and Genomic Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health
[28] University of Toronto,Genomic Medicine, St Mary’s Hospital, Manchester Centre for Genomic Medicine
[29] Manchester Academic Health Science Centre,NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre
[30] University of Manchester,Department of Medical Epidemiology and Biostatistics
[31] Manchester University Hospitals NHS Foundation Trust,Division of Genetics and Epidemiology
[32] Manchester Academic Health Science Centre,Cancer and Environmental Epidemiology Unit, National Center for Epidemiology
[33] Manchester University NHS Foundation Trust,Department of Epidemiology, School of Public Health
[34] Karolinska Institutet,Department of Medical Genetics
[35] The Institute of Cancer Research,Department of Population Health Science and Policy
[36] Carlos III Institute of Health,Department of Genetics and Genomic Sciences
[37] University of Michigan,Division of Research
[38] Oslo University Hospital and University of Oslo,Division of Epidemiology
[39] Icahn School of Medicine at Mount Sinai,undefined
[40] Icahn School of Medicine at Mount Sinai,undefined
[41] Kaiser Permanente Northern California,undefined
[42] Population Health Science,undefined
[43] Weill Cornell Medicine,undefined
来源
关键词
Mammographic density; Breast cancer; Genome-wide association study (GWAS); Transcriptome-wide association study (TWAS);
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