Handbook on Analyzing Human Genetic Data Computational Approaches an
The discipline of statistical genetics is highly computational. Be it exact computational methods, simulation based, or a hybrid of the two, computational packages are indispensable tools and constant companions of researchers in the field. This handbook
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Computational Approaches and Software
Handbook on Analyzing Human Genetic Data
Shili Lin
•
Hongyu Zhao
Editors
Handbook on Analyzing Human Genetic Data Computational Approaches and Software
Editors Professor Dr. Shili Lin Department of Statistics The Ohio State University Columbus, Ohio 43210 USA [email protected]
Professor Dr. Hongyu Zhao Department of Epidemiology and Public Health Yale University School of Medicine 60 College St. New Haven, CT 06520-8034 USA [email protected]
ISBN 978-3-540-69263-8 e-ISBN 978-3-540-69624-5 DOI 10.1007/978-3-540-69264-5 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2009931713 c Springer-Verlag Berlin Heidelberg 2010 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: WMX Design GmbH, Heidelberg Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface and Introduction
The discipline of statistical genetics is highly computational. Be it exact computational methods, simulation based, or a hybrid of the two, computational packages are indispensable tools and constant companions of researchers in the field. This handbook is intended to provide human geneticists and other biomedical researchers with guidance on selections of appropriate computational methods and software packages for their specific genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodologically oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among the competing methods and software are made to highlight the relative advantages and disadvantages of the approaches, so that the reader can make informed choices to best match their specific needs. Human genetics has been undergoing an evolution in the past several years as new knowledge and technologies are transforming the field, leading to numerous new discoveries of genes associated with complex traits such as cancer, obesity, and diabetes. Many recent genome-wide association studies employ the case–control design, where the study subjects consist of unrelated affe
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