Heterogeneity in Statistical Genetics

1. Introduction to heterogeneity in statistical genetics.- 2. Overview of genomic heterogeneity in statistical genetics.- 3. Phenotypic heterogeneity.- 4. Association tests allowing for heterogeneity.- 5. Designing genetic linkage and association studies that maintain desired statistical power in the presence of mixtures.- 6. Threshold-selected quantitative trait loci and pleiotropy.- Index.

Derek Gordon, PhD, is Associate Professor in the Department of Genetics at Rutgers, The State University of New Jersey, and is Full Academic Member of the Human Genetics Institute of New Jersey. For more than a decade, Dr. Gordon has served on the Editorial Board of the journal Human Heredity. From 2004 to 2013, Dr. Gordon was the Managing Editor for this journal. Currently, Dr. Gordon serves on the Editorial Board of the online journal BMC Bioinformatics. He has maintained a role as statistical genetics consultant to researchers in industry and academia for several decades.

Stephen J. Finch, PhD, is Professor in the Department of Applied Mathematics and Statistics at Stony Brook University. Professor Finch is co-author of the book, Data Collection in Adoption and Foster Care: The State of the Art in Obtaining Organized Information for Policy Analysis, Program Planning, and Practice (1991, with Fanshel and Grundy), and for several decades has served as statistical consultant to research teams performing longitudinal studies of adolescent social behavior.

Wonkuk Kim is Assistant Professor of Applied Statistics at Chung-Ang University in Korea. His research concerns mixture model-based genetic association and latent trajectory analysis of longitudinal data.

"This is one of the best books elucidating statistical genetics with solid mathematical foundation and biological background." (John Tuhao Chen, Mathematical Reviews, July, 2022)