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Grant Details

Grant Number: 5R29CA077607-05 Interpret this number
Primary Investigator: Emond, Mary
Organization: University Of Washington
Project Title: Statistical Analysis of Genetic Events in Tumorigenesis
Fiscal Year: 2003


Abstract

The localization and characterization of tumor suppressor genes has profound implications for prevention and treatment of cancer. The primary goal of this research is to develop statistical tools to expedite the search for tumor suppressor gene candidates. The specific aims of this research are: to develop statistical significance tests that will help identify tumor suppressor gene candidates from loss of heterozygosity studies and deletion mapping studies; to provide methods for determining whether allelic loss patterns from different groups of patients are significantly different; to produce publicly available software for implementing these procedures; and to estimate biologically important characteristics of the allelic loss process in neoplastic progression. The methods for achieving these aims will involve the formulation of models for genetic events in tumorigenesis, focusing primarily on allelic loss events. Power studies will be performed which will allow scientists to determine the sample sizes to achieve various levels of certainty in the identification of tumor suppressor gene candidates.



Publications

Gene Expression Analysis Characterizes Antemortem Stress And Has Implications For Establishing Cause Of Death
Authors: Jardine D. , Cornel L. , Emond M. .
Source: Physiological Genomics, 2011-08-24 00:00:00.0; 43(16), p. 974-80.
PMID: 21693618
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Genomic Biomarkers To Improve Ulcerative Colitis Neoplasia Surveillance
Authors: Bronner M.P. , O'Sullivan J.N. , Rabinovitch P.S. , Crispin D.A. , Chen L. , Emond M.J. , Rubin C.E. , Brentnall T.A. .
Source: The American Journal Of Pathology, 2008 Dec; 173(6), p. 1853-60.
PMID: 18988798
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Subset Clustering Of Binary Sequences, With An Application To Genomic Abnormality Data
Authors: Hoff P.D. .
Source: Biometrics, 2005 Dec; 61(4), p. 1027-36.
PMID: 16401276
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Antimetastatic Gene Expression Profiles Mediated By Retinoic Acid Receptor Beta 2 In Mda-mb-435 Breast Cancer Cells
Authors: Wallden B. , Emond M. , Swift M.E. , Disis M.L. , Swisshelm K. .
Source: Bmc Cancer, 2005; 5, p. 140.
PMID: 16255778
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A New Mixture Model Approach To Analyzing Allelic-loss Data Using Bayes Factors
Authors: Desai M. , Emond M.J. .
Source: Bmc Bioinformatics, 2004-11-24 00:00:00.0; 5, p. 182.
PMID: 15563371
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The Werner Syndrome Protein Has Separable Recombination And Survival Functions
Authors: Swanson C. , Saintigny Y. , Emond M.J. , Monnat R.J. .
Source: Dna Repair, 2004-05-04 00:00:00.0; 3(5), p. 475-82.
PMID: 15084309
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Retinoic Acid Receptor Beta2 Inhibition Of Metastasis In Mouse Mammary Gland Xenografts
Authors: Treuting P.M. , Chen L.I. , Buetow B.S. , Zeng W. , Birkebak T.A. , Seewaldt V.L. , Sommer K.M. , Emond M. , Maggio-Price L. , Swisshelm K. .
Source: Breast Cancer Research And Treatment, 2002 Mar; 72(1), p. 79-88.
PMID: 12000222
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The Unexpected Landscape Of In Vivo Somatic Mutation In A Human Epithelial Cell Lineage
Authors: Colgin L.M. , Hackmann A.F. , Emond M.J. , Monnat R.J. .
Source: Proceedings Of The National Academy Of Sciences Of The United States Of America, 2002-02-05 00:00:00.0; 99(3), p. 1437-42.
PMID: 11818556
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Loss Of Werner Syndrome Protein Function Promotes Aberrant Mitotic Recombination
Authors: Prince P.R. , Emond M.J. , Monnat R.J. .
Source: Genes & Development, 2001-04-15 00:00:00.0; 15(8), p. 933-8.
PMID: 11316787
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Genetic Instability And Hematologic Disease Risk In Werner Syndrome Patients And Heterozygotes
Authors: Moser M.J. , Bigbee W.L. , Grant S.G. , Emond M.J. , Langlois R.G. , Jensen R.H. , Oshima J. , Monnat R.J. .
Source: Cancer Research, 2000-05-01 00:00:00.0; 60(9), p. 2492-6.
PMID: 10811130
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Pancolonic Chromosomal Instability Precedes Dysplasia And Cancer In Ulcerative Colitis
Authors: Rabinovitch P.S. , Dziadon S. , Brentnall T.A. , Emond M.J. , Crispin D.A. , Haggitt R.C. , Bronner M.P. .
Source: Cancer Research, 1999-10-15 00:00:00.0; 59(20), p. 5148-53.
PMID: 10537290
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