Dr. Schork and his laboratory focus on the development and implementation of analysis methods for understanding the genetic determinants of complex human traits and diseases such as cancer, neuropsychiatric disease, and cardiovascular disease. These methods focus on both the design of studies making use of contemporary high-throughput, high-dimensional genomic technologies such as DNA sequencing technologies, multilocus genotyping technologies, and DNA microarrays, as well the interpretation of the results obtained from studies making use of these technologies. Dr. Schork and his laboratory also consider the integration of studies making use of different technologies. In addition, Dr. Schork has a long history of collaborative research in which he has contributed data analysis methodology and data analysis expertise. For example, Dr. Schork is the Director of the Bioinformatics and Biostatistics Core of the NIA-sponsored Longevity Consortium (http://www.longevityconsortium.org/), the Director of statistical genetics for the NIMH-sponsored Consortium on the Genetics of Schizophrenia (http://www.npistat.com/cogs/), the Director of Data Analysis for the GAIN funded Bipolar Consortium and a statistical geneticist for the NHLBI-sponsored Family Blood Pressure Program.
Nievergelt CM, Libiger O, Schork NJ. Generalized analysis of molecular variance. PLoS Genet. 2007 Apr 6;3(4):e51. Epub 2007 Feb 22.
Torkamani A, Schork NJ. Accurate prediction of deleterious protein kinase polymorphisms. Bioinformatics. 2007 Nov 1;23(21):2918-25. Epub 2007 Sep 12.
Wessel J, Schork NJ. Generalized genomic distance-based regression methodology for multilocus association analysis. Am J Hum Genet. 2006 Nov;79(5):792-806. Epub 2006 Sep 21.
Zapala MA, Schork NJ. Multivariate regression analysis of distance matrices for testing associations between gene expression patterns and related variables. Proc Natl Acad Sci U S A. 2006 Dec 19;103(51):19430-5. Epub 2006 Dec 4.
Official Web Site of the University of California, San Diego.