From the reviews: "The book covers the historical perspective, covering the standard models and methods. ... The presentation of the material is carefully thought through. There are lots of figures, many in colour, a large number of examples, numerous boxes that highlight particular derivations and computations, and exercises at the ends of the chapters. All topics are clearly discussed with due detail. I would say that, for the budding statistical geneticist, this is a must-have." (Martin Crowder, International Statistical Review, Vol. 79 (3), 2011) "A book that focuses on statistical methods for finding links between genes and diseases ... is timely. ... the authors steer us gently and diligently through material that was developed originally for postgraduate students at the Harvard School of Public Health ... . ideal for a statistician intending to research in this area or simply for a curious, sufficiently qualified reader. ... a lovely book, and essential reading if you are a budding GWASer, or simply interested in where your next disease will come from." (G. Wood, Australian & New Zealand Journal of Statistics, Vol. 53 (4), 2011) "The Fundamentals of Modern Statistical Genetics, by Dr. Nan M. Laird and Dr. Christoph Lange, is a timely reference for both researchers and students. ... the book is clearly written, and it is useful for colleagues who are interested in the association analysis. Although the book primarily covers the interesting topic of association analysis, it does touch other interesting topics such as joint linkage and association mapping of complex traits." (Ruzong Fan, Journal of the American Statistical Association, March, 2013)
