The pan-cancer landscape of prognostic germline variants in 10,582 patients

The pan-cancer landscape of prognostic germline variants in 10,582 patients

Abstract Background While clinical factors such as age, grade, stage, and histological subtype provide physicians with information about patient prognosis, genomic data can further improve these predictions. Previous studies have shown that germline variants in known cancer driver genes are predicti...

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Bibliographic Details
Main Authors: Ajay Chatrath, Roza Przanowska, Shashi Kiran, Zhangli Su, Shekhar Saha, Briana Wilson, Takaaki Tsunematsu, Ji-Hye Ahn, Kyung Yong Lee, Teressa Paulsen, Ewelina Sobierajska, Manjari Kiran, Xiwei Tang, Tianxi Li, Pankaj Kumar, Aakrosh Ratan, Anindya Dutta
Format: Article
Language:English
Published: BMC 2020-02-01
Series:Genome Medicine
Subjects:
Germline variants
Single nucleotide polymorphism
Cancer biology
Pan-cancer
Survival analysis
Tumor suppressor
Online Access:http://link.springer.com/article/10.1186/s13073-020-0718-7

Internet

http://link.springer.com/article/10.1186/s13073-020-0718-7

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