Analysis of Genetic Association Studies

Gang Zheng is a Mathematical Statistician in the Office of Biostatistics Research, National Heart, Lung and Blood Institute, National Institutes of Health. His research interests include robust procedures, statistical genetics, inference with nuisance parameters, analysis of ordered data, and clinical trials. E-mail: zhengg@nhlbi.nih.gov Yaning Yang is a professor in the Department of Statistics and Finance at the University of Science and Technology of China. He received his Ph.D. in Statistics from the Rutgers University. His main specialty is statistical genetics and bioinformatics. E-mail: ynyang@gmail.com Xiaofeng Zhu is a professor in Department of Epidemiology and Biostatistics, Case Western Reserve University. His research focuses on developing statistical methods in the areas of association analysis, rare variant association analysis, population stratification, admixture mapping and searching genetic variants contributing hypertension related traits. He is currently on the editorial board of Genetic Epidemiology. E-mail: xzhu1@darwin.epbi.cwru.edu Robert Elston, Professor of Epidemiology and Biostatistics at Case Western Reserve University, has been a leader in the field of genetic epidemiology for over forty years, having developed the software package S.A.G.E. (Statistical Analysis for Genetic Epidemiology). He has authored six books on biostatistics and genetic epidemiology prior to this one. E-mail: robert.elston@cwru.edu

Introduction to statistics. - Population genetics. - Introduction to epidemiology. - Single-marker analysis for unmatched case-control data. - Single- marker analysis for matched case-control data. - Bayesian analysis for case-control data. - Robust procedures. - Advanced topics I. - Haplotype analysis for case-control data. - Gene- gene interaction. - Advanced topics II. - Genome-wide association studes (GWAS). - Cost -effictient two-stage designs and analyses for GWAS. - Appendix. - References. - Index.