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Polygenic risk scores for prediction of breast cancer and breast cancer subtypes

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Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide associati...

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Main Authors: Mavaddat, Nasim (Author) , Arndt, Volker (Author) , Schneeweiss, Andreas (Author) , Sohn, Christof (Author) , Brenner, Hermann (Author) , Kaaks, Rudolf (Author) , Burwinkel, Barbara (Author) , Försti, Asta (Author) , Zhang, Yan (Author)
Format: Article (Journal)
Language:English
Published: 2019
In: American journal of human genetics
Year: 2019, Volume: 104, Issue: 1, Pages: 21-34
ISSN:0002-9297
DOI:10.1016/j.ajhg.2018.11.002
Online Access:Verlag, Volltext: https://doi.org/10.1016/j.ajhg.2018.11.002
Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S0002929718304051
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Author Notes:Nasim Mavaddat, Volker Arndt, Hermann Brenner, Barbara Burwinkel, Asta Försti, Rudolf Kaaks, Andreas Schneeweiss, Christof Sohn, Yan Zhang [und weitere]
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Polygenic risk scores for prediction of breast cancer and breast cancer subtypes by Mavaddat, Nasim (Author) , Arndt, Volker (Author) , Brenner, Hermann (Author) , Burwinkel, Barbara (Author) , Hamann, Ute (Author) , Kaaks, Rudolf (Author) , Schneeweiss, Andreas (Author) , Chang-Claude, Jenny (Author) ,


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