A multifactorial likelihood model for mmr gene variant classification incorporating probabilities based on sequence bioinformatics and tumor characteristics: a report from the Colon Cancer Family Registry

Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/93647

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Type:	Journal article
Title:	A multifactorial likelihood model for mmr gene variant classification incorporating probabilities based on sequence bioinformatics and tumor characteristics: a report from the Colon Cancer Family Registry
Author:	Thompson, B. Goldgar, D. Paterson, C. Clendenning, M. Walters, R. Arnold, S. Parsons, M. Michael, W. Gallinger, S. Haile, R. Hopper, J. Jenkins, M. LeMarchand, L. Lindor, N. Newcomb, P. Thibodeau, S. Colon Cancer Family Registry, Young, J. Buchanan, D. Tavtigian, S. et al.
Citation:	Human Mutation, 2013; 34(1):200-209
Publisher:	Wiley
Issue Date:	2013
ISSN:	1059-7794 1098-1004
Statement of Responsibility:	Bryony A. Thompson, David E. Goldgar, Carol Paterson, Mark Clendenning, Rhiannon Walters, Sven Arnold, Michael T. Parsons, Michael D. Walsh, Steven Gallinger, Robert W. Haile, John L. Hopper, Mark A. Jenkins, Loic LeMarchand, Noralane M. Lindor, Polly A. Newcomb, Stephen N. Thibodeau, Colon Cancer Family Registry, Joanne P. Young, Daniel D. Buchanan, Sean V. Tavtigian, and Amanda B. Spurdle
Abstract:	Abstract not available
Keywords:	unclassified variants; mismatch repair; multifactorial likelihood model; BRAF; MSI
Rights:	© 2012 Wiley Periodicals, Inc.
DOI:	10.1002/humu.22213
Grant ID:	http://purl.org/au-research/grants/nhmrc/496616
Published version:	http://dx.doi.org/10.1002/humu.22213
Appears in Collections:	Aurora harvest 7 Medicine publications

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