Mammographic density phenotypes and risk of breast cancer: a meta-analysis

Andreas Pettersson1, Rebecca E Graff1, Giske Ursin1

  • 1Affiliations of authors: Department of Epidemiology (AP, REG, RMT), and Department of Biostatistics (BAR), Harvard School of Public Health, Boston, MA; Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway (GU); Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA (GU); Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK (IdSS); Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France (VM); Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia (LB, GGG, KK); Centre for Molecular, Environmental, Genetic and Analytical Epidemiology, University of Melbourne, Melbourne, Australia (LB, GGG, JLH, KK, JS); Division of Epidemiology (CV) and Division of Biomedical Statistics and Informatics (CS), Department of Health Sciences Research, Mayo Clinic, Rochester, MN; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands (MFB, CHvG); Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia (GGG); Saw Swee Hock School of Public Health (KSC, MH, CSW), and Department of Surgery, Yong Loo Lin School of Medicine (MH), National University of Singapore, National University Health System, Singapore, Singapore; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (KC, LE, PH, MH); Department of Radiology, Addenbrooke's Hospital, Cambridge, UK (RMLW); School of Population and Public Health, University of British Columbia, Vancouver, BC , Canada (GH); Prevention and Cancer Control, Cancer Care, Toronto, ON, Canada (AMC); Human Genetics, Genome Institute of Singapore, Singapore, Singapore (JL); Campbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, Toronto, ON, Canada (QL, NFB); University of Hawaii Cancer Center, Honolu

Abstract

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