Publication Date:
2015-12-24
Description:
Article Published sequencing data sets of cancer samples could be used to identify genetic variants associated with the risk of developing cancer. Here, Lu et al . analyse over 4,000 tumour-normal pairs to reveal variable frequencies of inherited susceptibilities across 12 cancer types and find enrichment of functionally validated missense variants of unknown significance. Nature Communications doi: 10.1038/ncomms10086 Authors: Charles Lu, Mingchao Xie, Michael C. Wendl, Jiayin Wang, Michael D. McLellan, Mark D. M. Leiserson, Kuan-lin Huang, Matthew A. Wyczalkowski, Reyka Jayasinghe, Tapahsama Banerjee, Jie Ning, Piyush Tripathi, Qunyuan Zhang, Beifang Niu, Kai Ye, Heather K. Schmidt, Robert S. Fulton, Joshua F. McMichael, Prag Batra, Cyriac Kandoth, Maheetha Bharadwaj, Daniel C. Koboldt, Christopher A. Miller, Krishna L. Kanchi, James M. Eldred, David E. Larson, John S. Welch, Ming You, Bradley A. Ozenberger, Ramaswamy Govindan, Matthew J. Walter, Matthew J. Ellis, Elaine R. Mardis, Timothy A. Graubert, John F. Dipersio, Timothy J. Ley, Richard K. Wilson, Paul J. Goodfellow, Benjamin J. Raphael, Feng Chen, Kimberly J. Johnson, Jeffrey D. Parvin, Li Ding
Electronic ISSN:
2041-1723
Topics:
Biology
,
Chemistry and Pharmacology
,
Natural Sciences in General
,
Physics
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