Statistics for Biology and Health

The Fundamentals of Modern Statistical Genetics

Authors: Laird, Nan M., Lange, Christoph

  • Provides cutting edge coverage of current gene mapping approaches grounded in a traditional statistical genetics framework
  • Includes exercises and solutions to reinforce basic concepts for students at all levels
  • Rigorous coverage of key methods, with emphasis on association studies
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price for USA (gross)
  • ISBN 978-1-4419-7338-2
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  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Hardcover $79.95
price for USA
  • ISBN 978-1-4419-7337-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $79.95
price for USA
  • ISBN 978-1-4614-2775-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
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About this Textbook

This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed. Dr. Laird is a Professor of Biostatistics in the Biostatistics Department at the Harvard School of Public Health. Dr. Laird has contributed to methodology in many different fields, including missing data, EM-algorithm, meta-analysis, statistical genetics, and has coauthored a book with Garrett Fitzmaurice and James Ware on Applied Longitudinal Analysis. She is the recipient of many awards and prizes, including Fellow of the American Statistical Association, the American Association for the Advancement of Science, the Florence Nightingale Award, and the Janet Norwood Award. Dr. Lange is an Associate Professor in the Biostatistics Department at the Harvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistical genetics. Dr. Lange has been the director of the Institute of Genome Mathematics at the University of Bonn and has received several awards in mathematics and genetics. Dr. Lange is the developer of the PBAT package.

About the authors

Dr. Laird is a Professor of Biostatistics in the Biostatistics Department at the Harvard School of Public Health. Dr. Laird has contributed to methodology in many different fields, including missing data, EM-algorithm, meta-analysis, statistical genetics, and has coauthored a book with Garrett Fitzmaurice and James Ware on Applied Longitudinal Analysis. She is the recipient of many awards and prizes, including Fellow of the American Statistical Association, the American Association for the Advancement of Science, the Florence Nightingale Award, and the Janet Norwood Award.
Dr. Lange is an Associate Professor in the Biostatistics Department at the Harvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistical genetics. Dr. Lange has been the director of the Institute of Genome Mathematics at the University of Bonn and has received several awards in mathematics and genetics. Dr. Lange is the developer of the PBAT package.

Reviews

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)


Table of contents (12 chapters)

  • Introduction to Statistical Genetics and Background in Molecular Genetics

    Laird, Nan M. (et al.)

    Pages 1-13

  • Principles of Inheritance: Mendel’s Laws and Genetic Models

    Laird, Nan M. (et al.)

    Pages 15-30

  • Some Basic Concepts from Population Genetics

    Laird, Nan M. (et al.)

    Pages 31-43

  • Aggregation, Heritability and Segregation Analysis: Modeling Genetic Inheritance Without Genetic Data

    Laird, Nan M. (et al.)

    Pages 45-66

  • The General Concepts of Gene Mapping: Linkage, Association, Linkage Disequilibrium and Marker Maps

    Laird, Nan M. (et al.)

    Pages 67-86

Buy this book

eBook $59.99
price for USA (gross)
  • ISBN 978-1-4419-7338-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $79.95
price for USA
  • ISBN 978-1-4419-7337-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $79.95
price for USA
  • ISBN 978-1-4614-2775-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
The Fundamentals of Modern Statistical Genetics
Authors
Series Title
Statistics for Biology and Health
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-7338-2
DOI
10.1007/978-1-4419-7338-2
Hardcover ISBN
978-1-4419-7337-5
Softcover ISBN
978-1-4614-2775-9
Series ISSN
1431-8776
Edition Number
1
Number of Pages
XIV, 226
Topics