Statistical Human Genetics Methods and Protocols
Recent advances in genetics over the last quarter of a century, especially in molecular techniques, have dramatically reduced the cost of determining genetic markers and hence opened up a field of research that is increasingly helping to detect,
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MOLECULAR BIOLOGY
Series Editor John M. Walker School of Life Sciences University of Hertfordshire Hatfield, Hertfordshire, AL10 9AB, UK
For further volumes: http://www.springer.com/series/7651
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Statistical Human Genetics Methods and Protocols
Edited by
Robert C. Elston Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
Jaya M. Satagopan Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
Shuying Sun Department of Epidemiology and Biostatistics, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
Editors Robert C. Elston Department of Epidemiology and Biostatistics Case Western Reserve University Cleveland, OH, USA [email protected]
Jaya M. Satagopan Department of Epidemiology and Biostatistics Memorial Sloan-Kettering Cancer Center New York, NY, USA [email protected]
Shuying Sun Department of Epidemiology and Biostatistics Case Comprehensive Cancer Center Case Western Reserve University Cleveland, OH, USA [email protected]
ISSN 1064-3745 e-ISSN 1940-6029 ISBN 978-1-61779-554-1 e-ISBN 978-1-61779-555-8 DOI 10.1007/978-1-61779-555-8 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011945439 ª Springer Science+Business Media, LLC 2012 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Humana Press, c/o Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Humana Press is part of Springer Science+Business Media (www.springer.com)
Preface The recent advances in genetics, especially in the molecular techniques that have over the last quarter of a century spectacularly reduced the cost of determining genetic markers, open up a field of research that is becoming of increasing help in detecting, preventing and/or curing many diseases that afflict us. This has brought with it the need for novel methods of statistical analysis and the implementation of these methods in a wide variety of computer programs. It is our aim in this book to make these methods and programs more easily accessible to the beginner who has data to analyze, whether a student or a senior investigator. Apart from the first chapter, which defines some of the genetic terms we shall use, and the last chapter, which compares three major multipurpose programs/software packages, each chapter of this book takes up a particular an
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