Prediction of breast cancer risk based on profiling with common genetic variants

AbstractBackground:. Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer r

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Bibliographic Details
Main Authors:	Mavaddat, Nasim (Author) , Chang-Claude, Jenny (Author) , Rudolph, Anja (Author) , Seibold, Petra Beate (Author) , Burwinkel, Barbara (Author) , Marmé, Frederik (Author) , Schneeweiss, Andreas (Author) , Sohn, Christof (Author) , Sutter, Christian (Author) , Yang, Rongxi (Author) , Brauch, Hiltrud (Author) , Hamann, Ute (Author) , Försti, Asta (Author) , Brenner, Hermann (Author) , Arndt, Volker (Author) , Dieffenbach, Aida Karina (Author)
Format:	Article (Journal)
Language:	English
Published:	April 2, 2015
In:	Journal of the National Cancer Institute Year: 2015, Volume: 107, Issue: 5
ISSN:	1460-2105
DOI:	10.1093/jnci/djv036
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/jnci/djv036 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/jnci/article/107/5/djv036/891009
Author Notes:	Nasim Mavaddat, Jenny Chang-Claude, Anja Rudolph, Petra Seibold, Barbara Burwinkel, Frederik Marme, Andreas Schneeweiss, Christof Sohn, Christian Sutter, Rongxi Yang, Hiltrud Brauch, Ute Hamann, Asta Försti, Hermann Brenner, Volker Arndt, Aida Karina Dieffenbach, und weitere 196

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Summary:	AbstractBackground:. Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer r
Item Description:	Gesehen am 09.06.2020
Physical Description:	Online Resource
ISSN:	1460-2105
DOI:	10.1093/jnci/djv036