Mary Sara McPeek, Ph.D.

Professor

Research Description

My research interests are in statistical genetics and development of statistical methods. Software for most of my projects is available on my website. Specific current research interests include:

  • methods for haplotype analysis in dependent samples methods for genetic association analysis, including methods for binary, quantitative, longitudinal and X-linked traits
  • spectral analysis of population structure and other approaches to unknown population structure, particularly in the context of genetic association analysis
  • methods to detect association with copy number variation
  • methods for genetic analysis in isolated populations
  • relationship inference quasi-likelihood methods,
  • problems of incomplete data, and
  • applications of random matrix theory in statistical genetics

Selected Publications

CERAMIC: Case-Control Association Testing in Samples with Related Individuals, Based on Retrospective Mixed Model Analysis with Adjustment for Covariates.
Zhong S, Jiang D, McPeek MS
(2016 Oct) PLoS Genet. 2016 Oct 3;12(10):e1006329. doi: 10.1371/journal.pgen.1006329. eCollection 2016 Oct. 27695091

G-STRATEGY: Optimal Selection of Individuals for Sequencing in Genetic Association Studies.
Wang M, Jakobsdottir J, Smith AV, McPeek MS
(2016 Sep) Genet Epidemiol. 2016 Sep;40(6):446-60. doi: 10.1002/gepi.21982. Epub 2016 Jun 3. 27256766

Retrospective Binary-Trait Association Test Elucidates Genetic Architecture of Crohn Disease.
Jiang D, Zhong S, McPeek MS
(2016 Feb) Am J Hum Genet. 2016 Feb 4;98(2):243-55. doi: 10.1016/j.ajhg.2015.12.012. Epub 2016 Jan 28. 26833331 (Full Text)

Retrospective Association Analysis of Binary Traits: Overcoming Some Limitations of the Additive Polygenic Model.
Jiang D, Mbatchou J, McPeek MS
(2015) Hum Hered. 2015;80(4):187-95. doi: 10.1159/000446957. Epub 2016 Sep 1. 27576759