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Carrie Sougnez

Researcher at Broad Institute

Publications -  86
Citations -  63519

Carrie Sougnez is an academic researcher from Broad Institute. The author has contributed to research in topics: Germline mutation & Exome sequencing. The author has an hindex of 58, co-authored 86 publications receiving 55094 citations. Previous affiliations of Carrie Sougnez include Partners HealthCare & University of Texas MD Anderson Cancer Center.

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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

TL;DR: The results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents and the generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of ‘personalized’ therapeutic regimens.
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Comprehensive molecular characterization of gastric adenocarcinoma

Adam J. Bass, +257 more
- 11 Sep 2014 - 
TL;DR: A comprehensive molecular evaluation of 295 primary gastric adenocarcinomas as part of The Cancer Genome Atlas (TCGA) project is described and a molecular classification dividing gastric cancer into four subtypes is proposed.
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Mutational heterogeneity in cancer and the search for new cancer-associated genes

Michael S. Lawrence, +96 more
- 11 Jul 2013 - 
TL;DR: A fundamental problem with cancer genome studies is described: as the sample size increases, the list of putatively significant genes produced by current analytical methods burgeons into the hundreds and the list includes many implausible genes, suggesting extensive false-positive findings that overshadow true driver events.
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Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network

Eric A. Collisson, +318 more
- 01 Jan 2014 - 
TL;DR: In this paper, the authors report molecular profiling of 230 resected lung adnocarcinomas using messenger RNA, microRNA and DNA sequencing integrated with copy number, methylation and proteomic analyses.
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Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples

TL;DR: The MuTect algorithm for calling somatic point mutations enables subclonal analysis of the whole-genome or whole-exome sequencing data being generated in large-scale cancer genomics projects as discussed by the authors.