"Though the basic statistical theory behind modern genetics is not that difficult, most statistical genetics papers are not easy to read for a beginner. Formulae quickly becomes very tedious to fit a particular area of application. This book tries to distinguish between the necessary and unecessary complexity in presenting the material to a statistician "or a data analyst". Derivations of methods are kept simple but without losing the mathematical details. Also provided is the necessary background in modern genetics for those who want to get into this area, from biological and molecular experiments to gene hunting to genetic engineering."
"Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application. Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking."@en

Introduction to statistical methods in modern genetics