A genome-wide association study of mammographic texture variation

被引：0
|
作者：
Yuxi Liu
Hongjie Chen
John Heine
Sara Lindstrom
Constance Turman
Erica T. Warner
Stacey J. Winham
Celine M. Vachon
Rulla M. Tamimi
Peter Kraft
Xia Jiang
机构：
[1] Harvard T.H. Chan School of Public Health,Department of Epidemiology
[2] Harvard T.H. Chan School of Public Health,Program in Genetic Epidemiology and Statistical Genetics
[3] University of Washington,Department of Epidemiology
[4] H. Lee Moffitt Cancer Center & Research Institute,Division of Population Sciences
[5] Fred Hutchinson Cancer Research Center,Public Health Sciences Division
[6] Massachusetts General Hospital and Harvard Medical School,Clinical and Translational Epidemiology Unit, Department of Medicine, Mongan Institute
[7] Mayo Clinic,Biomedical Statistics and Informatics
[8] Mayo Clinic,Division of Epidemiology, Department of Quantitative Health Sciences
[9] Brigham and Women’s Hospital and Harvard Medical School,Channing Division of Network Medicine, Department of Medicine
[10] Weill Cornell Medicine,Department of Population Health Sciences
[11] Harvard T.H. Chan School of Public Health,Department of Biostatistics
[12] Karolinska Institutet,Department of Clinical Neuroscience, Center for Molecular Medicine
[13] Sichuan University,West China School of Public Health and West China Fourth Hospital
来源：
Breast Cancer Research | / 24卷
关键词：
Breast cancer; Breast parenchymal texture feature; Texture variation; V measure; Mammographic density; GWAS; Genetic correlation;
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