CoMEt: a Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2015 Aug 9

PMID 26253137

Citations 120

Authors

Mark D M Leiserson

Hsin-Ta Wu

Fabio Vandin

Benjamin J Raphael

Affiliations

Soon will be listed here.

Abstract

Cancer is a heterogeneous disease with different combinations of genetic alterations driving its development in different individuals. We introduce CoMEt, an algorithm to identify combinations of alterations that exhibit a pattern of mutual exclusivity across individuals, often observed for alterations in the same pathway. CoMEt includes an exact statistical test for mutual exclusivity and techniques to perform simultaneous analysis of multiple sets of mutually exclusive and subtype-specific alterations. We demonstrate that CoMEt outperforms existing approaches on simulated and real data. We apply CoMEt to five different cancer types, identifying both known cancer genes and pathways, and novel putative cancer genes.

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