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Department of Biology People
 

Warren Ewens,
Ph. D.

Professor of Biology
Ph.D., Australian National University, 1964
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324 Leidy Laboratories
Department of Biology
University of Pennsylvania
Philadelphia, PA 19104 USA

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+1 215 898.7109

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+1 215 898.8780

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wewens@sas.upenn.edu

research : publications

mathematical and statistical methods in genetics

My research interests cover all areas of mathematical, statistical and theoretical genetics.

A main area of interest is evolutionary population genetics, in particular statistical and mathematical aspects of the theory. Population genetics aims at elucidating the evolutionary process in Mendelian terms. Because of the quantitative nature of gene transmission, this is a highly mathematical subject. One specific field of interest is phylogenetic tree reconstruction: here the DNA sequences of various species are given, and from these it is desired to reconstruct a tree of evolution. Another field of interest is the statistical theory arising from the recognition of the stochastic, or random, aspect of gene replacement processes. This requires the use of Markov chain theory and also diffusion theory. A further area of interest in evolutionary genetics is in the complex multilocus theory arising when arbitrary epistatic interactions between gene loci are allowed.

A second main interest is the use of mathematical methods in human genetics, specifically in methods for mapping disease genes. A recent development made in conjunction with R. S. Spielman is the transmission/disequilibrium test: this test is frequently used for fine genetic linkage analysis. Other interests in this area include the resolution of the ascertainment sampling problem: this problem arises because of the non-random sampling frequently used to find the genetic properties of diseases, and requires the development of new statistical testing and estimation procedures. I have developed a method which, in a wide variety of cases, overcomes the problems involved in non-random sampling and provides a method of analysis whatever the ascertainment process of the data might be.

A final area of interest is statistical genomics and computational biology. Especially with the accumulation of vast quantities of data for the human genome project, and of analogous projects for other species, computer and mathematical methods are needed for the storage, retrieval and analysis of DNA sequences. For more details about ths new area of biology, see web page, http://www.med.upenn.edu/gcb/.

selected publications

Richard S. Spielman, Laural A. Bastone, Joshua T. Burdick, Warren J. Ewens, Michael Morely and Vivian G. Cheung. (2007) Common genetic variants account for differences in gene expression among ethnic groups. Nature Genetics 39, 226-231.

Warren J. Ewens and Herbert S. Wilf. (2007) Computing the distribution of the maximum in balls-in-boxes problems, with applications to clusters of disease cases. Proc. Nat. Acad.Sci. 104, 11189-11191.

Warren J. Ewens, Arindam Roy Choudhury, Richard Lewontin and Carsten Wiuf. (2007) Two variance results in population genetics theory. Math Pop. Studies 14, 93-110.

Cheung, V.G. and W. J. Ewens. (2006) Heterozygous carriers of Nijmegen breakage syndrome have a distinct gene expression phenotype. Genome Research 16, 973-979.

Michael Knapp and Warren J. Ewens. (2005) Direct observation and unambiguous inference. Biology and Philosophy 20, 925-926.

Anya Plutinski and Warren J. Ewens. (2005) Population genetics. pp 578-585 in "The Philosophy of Science," S. Sarkar and J. Pfeifer, eds., Routledge, New York and London.

Ewens, W. J., R Modarres and JL Gastwirth. (2005) A cautionary note on the use of non-parametric tests in the analysis of environmental data. Environmetrics 16, 319-326.

Ewens, W. J. and R. S. Spielman. (2005) What is the significance of a significant TDT? Human Heredity 60, 206-210.

Ewens, W. J. and G. R. Grant, (2004) Statistical Methods in Bioinformatics. Second Revised Edition. Springer-Verlag, New York.

Ewens, W. J., (2004) Mathematical Population Genetics. Second Revised Edition. Springer-Verlag, New York.

Spielman, R. S. and Ewens, W. J., (2003) Relatives-based Test for Linkage Disequilibrium: The Transmission/Disequilibrium Test (TDT). Encyclopedia of the Human Genome, 1007-1010.

Ewens, W.J., S. Ogino, D. Leonard, H. Rennert, and R. Wilson. (2002) Genetic risk assessment in carrier testing for spinal muscular atrophy Am. J. Med. Genet. 110: 301-307.

 

 

 

 

 


People
Department of Biology
School of Arts and Sciences
University of Pennsylvania

last updated August 15, 2007