Journal Mobile Options
Table of Contents
Vol. 63, No. 2, 2007
Issue release date: February 2007
Section title: Original Paper
Hum Hered 2007;63:111–119
(DOI:10.1159/000099183)

Exploiting Gene-Environment Interaction to Detect Genetic Associations

Kraft P. · Yen Y.-C. · Stram D.O. · Morrison J. · Gauderman W.J.
Departments of aEpidemiology and bBiostatistics, Harvard School of Public Health, Boston, Mass., cDepartment of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, Calif., USA

Do you have an account?

Register and profit from personalized services (MyKarger) Login Information

Please create your User ID & Password





Contact Information









I have read the Karger Terms and Conditions and agree.

Register and profit from personalized services (MyKarger) Login Information

Please create your User ID & Password





Contact Information









I have read the Karger Terms and Conditions and agree.

To view the fulltext, please log in

To view the pdf, please log in

Buy

  • FullText & PDF
  • Unlimited re-access via MyKarger (new!)
  • Unrestricted printing, no saving restrictions for personal use
  • Reduced rates with a PPV account
read more

Direct: USD 38.00
Account: USD 26.50

Select

Rent/Cloud

  • Rent for 48h to view
  • Buy Cloud Access for unlimited viewing via different devices
  • Synchronizing in the ReadCube Cloud
  • Printing and saving restrictions apply

Rental: USD 8.50
Cloud: USD 20.00

Select

Subscribe

  • Automatic perpetual access to all articles of the subscribed year(s)
  • Unlimited re-access via Subscriber Login or MyKarger
  • Unrestricted printing, no saving restrictions for personal use
read more

Subcription rates


Select


Article / Publication Details

First-Page Preview
Abstract of Original Paper

Received: 7/31/2006
Accepted: 8/31/2006
Published online: 2/2/2007

Number of Print Pages: 9
Number of Figures: 2
Number of Tables: 1

ISSN: 0001-5652 (Print)
eISSN: 1423-0062 (Online)

For additional information: http://www.karger.com/HHE

Abstract

Complex disease by definition results from the interplay of genetic and environmental factors. However, it is currently unclear how gene-environment interaction can best be used to locate complex disease susceptibility loci, particularly in the context of studies where between 1,000 and 1,000,000 markers are scanned for association with disease. We present a joint test of marginal association and gene-environment interaction for case-control data. We compare the power and sample size requirements of this joint test to other analyses: the marginal test of genetic association, the standard test for gene-environment interaction based on logistic regression, and the case-only test for interaction that exploits gene-environment independence. Although for many penetrance models the joint test of genetic marginal effect and interaction is not the most powerful, it is nearly optimal across all penetrance models we considered. In particular, it generally has better power than the marginal test when the genetic effect is restricted to exposed subjects and much better power than the tests of gene-environment interaction when the genetic effect is not restricted to a particular exposure level. This makes the joint test an attractive tool for large-scale association scans where the true gene-environment interaction model is unknown.


  

Author Contacts

Peter Kraft
Departments of Epidemiology and Biostatistics, Harvard School of Public Health
Building 2 Room 207, 665 Huntington Avenue
Boston, MA 02115 (USA)
Tel. +1 617 432 4271, Fax +1 617 432 1722, E-Mail pkraft@hsph.harvard.edu

  

Article Information

Published online: February 2, 2007
Number of Print Pages : 9
Number of Figures : 2, Number of Tables : 1, Number of References : 33

  

Publication Details

Human Heredity (International Journal of Human and Medical Genetics)

Vol. 63, No. 2, Year 2007 (Cover Date: February 2007)

Journal Editor: Devoto, M. (Philadelphia, Pa.)
ISSN: 0001–5652 (print), 1423–0062 (Online)

For additional information: http://www.karger.com/HHE


Article / Publication Details

First-Page Preview
Abstract of Original Paper

Received: 7/31/2006
Accepted: 8/31/2006
Published online: 2/2/2007

Number of Print Pages: 9
Number of Figures: 2
Number of Tables: 1

ISSN: 0001-5652 (Print)
eISSN: 1423-0062 (Online)

For additional information: http://www.karger.com/HHE


Copyright / Drug Dosage

Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher or, in the case of photocopying, direct payment of a specified fee to the Copyright Clearance Center.
Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in goverment regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.