Michael Province, Ph.D.

 

Michael A. Province, PhD.

mprovince@wustl.edu

 

Current Position

Professor of Genetics and Biostatistics
Director Division of Statistical Genomics

 

Education

Year University Degree, Major
1973 University of Dallas, Irving, TX BS, Mathematics, Physics
1979 Washington University, St. Louis, MO MS, Mathematics, Statistics
1987 Washington University, St. Louis, MO PhD, Mathematics

 

Teaching

Coursemaster, Washington University School of Medicine, DBBS Graduate course “621 Computational Statistical Genetics”

 

Research Interests

·       Statistical Genetics

·       Genetic Epidemiology

·       Longevity Genetics

·       Cardiovascular Disease Genetics

 

Representative Publications

Province MA, Borecki IB. A correlated meta-analysis strategy for data mining  “OMIC” scans. Pac Symp Biocomput. 2013:236-46. PubMed PMID: 23424128; PubMed Central PMCID: PMC3773990.

Zhang Q, Ding L, Larson DE, Koboldt DC, McLellan MD, Chen K, Shi X, Kraja A, Mardis ER, Wilson RK, Borecki IB, Province MA. CMDS: a population-based method for identifying recurrent DNA copy number aberrations in cancer from high-resolution data. Bioinformatics. 2010 Feb 15;26(4):464-9. doi: 10.1093/bioinformatics/btp708. Epub 2009 Dec 23. PubMed PMID: 20031968; PubMed Central PMCID: PMC2852218.

Gao X, Becker LC, Becker DM, Starmer JD, Province MA. Avoiding the high Bonferroni penalty in genome-wide association studies. Genet Epidemiol. 2010 Jan;34(1):100-5. doi: 10.1002/gepi.20430. PubMed PMID: 19434714; PubMed Central PMCID: PMC2796708.

Province MA. The significance of not finding a gene. Am J Hum Genet. 2001 Sep;69(3):660-3. Epub 2001 Jul 30. PubMed PMID: 11481587; PubMed Central PMCID: PMC1235495.

Province MA. A single, sequential, genome-wide test to identify simultaneously all promising areas in a linkage scan. Genet Epidemiol. 2000 Dec;19(4):301-22. PubMed PMID: 11108641.