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Activity Number:
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555
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2016 : 10:30 AM to 12:20 PM
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Sponsor:
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Section for Statistical Programmers and Analysts
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Abstract #320048
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Title:
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MEGSA: A Powerful and Flexible Framework for Analyzing Mutual Exclusivity of Tumor Mutations
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Author(s):
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Xing Hua* and Jianxin Shi
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Companies:
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National Cancer Institute and National Cancer Institute
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Keywords:
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Mutual exclusivity ;
oncogenic pathways ;
driver genes ;
tumor sequencing
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Abstract:
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We present a powerful and flexible computational framework for systematically identifying mutually exclusive gene sets (MEGS) with mutations in tumor sequencing studies. Our method is based on a likelihood ratio test and a model selection procedure. Extensive simulations demonstrated that our method outperformed existing methods for both power and the capability of identifying the exact MEGS, particularly for highly imbalanced MEGS. Our method can be used for de novo discovery, pathway-guided searches or for expanding established small MEGS. We applied our method to the TCGA whole exome sequencing data and identified multiple previously unreported non-pairwise MEGS in multiple cancer types.
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Authors who are presenting talks have a * after their name.
