Journal Mobile Options
Table of Contents
Vol. 60, No. 1, 2005
Issue release date: 2005
Section title: Original Paper
Hum Hered 2005;60:36–42
(DOI:10.1159/000087917)

Empirical Bayes Method for Incorporating Data from Multiple Genome Scans

Beasley T.M. · Wiener H. · Zhang K. · Bartolucci A.A. · Amos C.I. · Allison D.
Departments of aBiostatistics, Section of Statistical Genetics, bEpidemiology, and cNutrition Sciences and Clinical Nutrition Research Center, The University of Alabama at Birmingham, Birmingham, Ala.; eDepartment of Epidemiology, University of Texas, M.D. Anderson Cancer Center, Houston, Tex., 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: 2/28/2005
Accepted: 6/22/2005
Published online: 9/16/2005

Number of Print Pages: 7
Number of Figures: 5
Number of Tables: 0

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

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

Abstract

Individual genome scans tend to have low power and can produce markedly biased estimates of QTL effects. Further, the confidence interval for their location is often prohibitively large for subsequent fine mapping and positional cloning. Given that a large number of genome scans have been conducted, not to mention the large number of variables and subsets tested, it is difficult to confidently rule out type 1 error as an explanation for significant effects even when there is apparent replication in a separate data set. We adapted Empirical Bayes (EB) methods [1] to analyze data from multiple genome scans simultaneously and alleviate each of these problems while still allowing for different QTL population effects across studies. We investigated the effects of using the EB method to include data from background studies to update the results of a single study of interest via simulation and demonstrated that it has a stable confidence level over a wide range of parameters defining the background studies and increased the power to detect linkage, even when some of the background studies were null or had QTL effect at other markers. This EB method for incorporating data from multiple studies into genome scan analyses seems promising.


  

Author Contacts

T. Mark Beasley, PhD
Department of Biostatistics, University of Alabama at Birmingham
1665 University Boulevard
Birmingham, AL 35294 (USA)
Tel. +1 205 975 4957, Fax +1 205 975 2540, E-Mail MBeasley@ms.soph.uab.edu

  

Article Information

Received: February 28, 2005
Accepted: June 22, 2005
Published online: August 31, 2005
Number of Print Pages : 7
Number of Figures : 5, Number of Tables : 0, Number of References : 14

  

Publication Details

Human Heredity (International Journal of Human and Medical Genetics)

Vol. 60, No. 1, Year 2005 (Cover Date: 2005)

Journal Editor: Devoto, M. (Wilmington, Del.)
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: 2/28/2005
Accepted: 6/22/2005
Published online: 9/16/2005

Number of Print Pages: 7
Number of Figures: 5
Number of Tables: 0

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.