
The Rockefeller University (New York, NY)
The last two years has seen the emergence of new array-based technologies that allow for high density, agnostic survey of common genetic variation across the entire genome. While the current wave of genome-wide association studies has provided an exciting proof-of-concept that these methods can implicate previously unknown loci for complex disease, we are still a long way from the full picture of genotype-phenotype correlation. The substance of my graduate thesis are two separate computationally-based projects that explore genotype-phenotype relationships. The first project addresses an information gap in the current plethora of complex disease GWAS’s by focusing the analysis of an isolated founder population from the Pacific Island of Kosrae (completed). The second project is the development of a novel method for analysis of variation and expression data with emphasis on variants with pleiotropic trans-acting effects on gene expression (future work).
2007-present Women & Science fellowship

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Eimear E Kenny, Kedmi M, Orr-Urtreger A, Pe'er I
Eimear E Kenny, Burkhardt R, Breslow J
Kenny EE, Burkhardt R, Breslow J
Kenny E, Noel M, Breslow J
Kenny E, Muller HM, Sternberg PW
Kenny, E., Müller, H.-M., Sternberg, P.W.
Girard L., Chan J, Kenny E, Sternberg P.W. ,Stein L.D., Chalfie M.
Kenny E, Muller HM, Sternberg PW
Kenny E, Muller HM, Sternberg PW
Eimear E Kenny, A Gusev, D Lutjohann, J Lowe, J Salit, J Maller, M Stoffel, M Daly, D Altshuler, J Friedman, I Pe'er, J Breslow and E Sehayek