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Statistics and Informatics in Molecular Cancer Research$
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Carsten Wiuf and Claus L. Andersen

Print publication date: 2009

Print ISBN-13: 9780199532872

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780199532872.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 19 September 2021

Association studies

Association studies

Chapter:
(p.1) 1 Association studies
Source:
Statistics and Informatics in Molecular Cancer Research
Author(s):

Emily Webb

Richard Houlston

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199532872.003.0001

Association studies provide a highly efficient paradigm for identifying novel genetic loci that influence the risk of disease, and recent technological advances have led to the discovery via association of many novel complex disease susceptibility loci. This chapter describes the principles underlying association studies, and provides an overview of statistical approaches to their analysis, including preliminary analysis, and single-locus and multipoint tests for association. The issues of statistical power and appropriate study design are also discussed. The theory and techniques described throughout the chapter are illustrated with specific reference to the field of cancer; however they may equally be applied to association studies for any complex disease.

Keywords:   association, genetic susceptibility, complex disease, single-locus test, multipoint test, power, study design

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