Department of Medicine Faculty Profile

Andrew Skol
Section of Genetic Medicine
Assistant Professor of Medicine

e-mail: askol@uchicago.edu

Training:

Degree	Year	Institution	Area
BS	1993	Cornell University	Animal Science
MS	1999	Cornell University	Animal Breeding
MS	2001	University of Michigan	Biostatistics
PhD	2006	University of Michigan	Biostatistics

Academic Interests:

Dr. Skol’s research focuses on developing statistical methods and tools that aid in identifying genetic variants involved in complex human disease. His current research interest include exploring efficient designs for genome-wide association studies, developing novel methods for the analysis of sequence data for association studies, and adapting variance component methods for QTL mapping in complex pedigrees of experimental organism.

Representative Publications:

Skol AD, Scott LJ, Abecasis GR, Boehnke M. Joint analysis is more efficient than replication-based analysis for genome-wide association studies. Nature Genetics,2006, 38:209-213.
Skol AD, Xiao R, Boehnke M, Veterans Affairs Cooperative Study Investigators. An algorithm to construct genetically similar subsets of families with the use of self reported ethnicity information. American Journal of Human Genetics, 2005, 77:346 354.
Mohlke KL, Skol AD, Scott LJ, Valle TT, Bergman RN, Tuomilehto J, Boehnke M, Collins FS. Evaluation of SLC2A10 (GLUT10) as a candidate gene for type 2 diabetes and related traits in Finns. Molecular Genetics and Metabolism, 2005, 85:323-327.
Skol AD, Young KA, Tsuang DW, Faraone SV, Haverstock SL, Bingham S, Prabhudesai S, Mena F, Menon AS, Yu CE, Rudell P, Pepple J, Sauter F, Baldwin C,Weiss D, Collins J, Keith T, Boehnke M, Schellenberg GD, Tsuang MT. Modest evidence for linkage and possible confirmation of association between NOTCH4 and schizophrenia in a large veterans affairs cooperative study sample. American Journal of Medical Genetics Part B, Neuropsychiatric Genetics, 2003, 118B:8-15.
Douglas JA, Skol AD, Boehnke M. Probability of detection of genotyping errors and mutations as inheritance inconsistencies in nuclear-family data. American Journal of Human Genetics, 2002, 70:487-495.