Kai Yu

Senior Investigator
Division of Cancer Epidemiology & Genetics, Biostatistics Br
National Cancer Institute
United States of America

Scientist Medical Sciences
Biography

Dr. Yu received a Ph.D. in biostatistics from the University of Pittsburgh in 2000, and had postdoctoral training in statistical genetics at Stanford University. He joined NCI in 2005 as a tenure-track investigator, and was awarded scientific tenure by the NIH and appointed senior investigator in 2012. His research addresses a wide variety of statistically and computationally challenging problems that have arisen in design and analysis of modern high-dimensional genetic and molecular epidemiologic studies. Dr. Yu has developed an adaptive design framework for replicating findings from previous genetic studies; methods for population stratification adjustment in GWAS; and improved statistical procedures for detecting susceptibility gene, gene-environment interaction, and pathway effects. He has been the primary statistician in many large-scale epidemiologic studies, including GWAS of pancreatic and upper gastrointestinal cancers, as well as the Vitamin D Pooling Project of Rarer Cancers. In 2009, Dr. Yu received an NIH Merit Award for developing creative statistical methods for genetic epidemiologic studies

Research Intrest

Statistical methods for genetic epidemiology studies; Tree-based models and applications in molecular epidemiology studies; MCMC algorithms and applications in genetic studies; Population genetics

List of Publications
Li Q, Zheng G, Liang X, Yu K. Robust tests for single‐marker analysis in case‐control genetic association studies. Annals of human genetics. 2009 Mar 1;73(2):245-52.
Li Q, Yu KA. Improved correction for population stratification in genome‐wide association studies by identifying hidden population structures. Genetic epidemiology. 2008 Apr 1;32(3):215-26.
Yu K, Li Q, Bergen AW, Pfeiffer RM, Rosenberg PS, Caporaso N, Kraft P, Chatterjee N. Pathway analysis by adaptive combination of P‐values. Genetic epidemiology. 2009 Dec 1;33(8):700-9.

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