Skip Navigation



Bioinformatics Advance Access published online on October 25, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti725
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
21/24/4430    most recent
bti725v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Pardi, F.
Right arrow Articles by Lewis, C. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Pardi, F.
Right arrow Articles by Lewis, C. M.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received August 11, 2005
Revised October 12, 2005
Accepted October 17, 2005

Applications note

GSMA: software for analysis of the genome-search meta-analysis method

Fabio Pardi 1, Douglas F. Levinson 2, and Cathryn M. Lewis 1*

1 Department of Medical and Molecular Genetics, King's College London, 8th Floor Guy's Tower, Guy's Hospital, London SE1 9RT, United Kingdom
2 Division of Clinical Neurobiology and Behavior, University of Pennsylvania School of Medicine, 3535 Market St., Rm 4006, Philadelphia, PA 19104-3309, USA

* To whom correspondence should be addressed.
Cathryn M. Lewis, E-mail: Cathryn.lewis{at}genetics.kcl.ac.uk


  Abstract

Meta-analysis can be used to pool results of genome-wide linkage scans. This is of great value in complex diseases, where replication of linked regions occurs infrequently. The Genome Search Meta-Analysis method is widely used for this analysis, and a computer program is now available to implement the GSMA.

Availability: http://www.kcl.ac.uk/depsta/memoge/gsma/.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 DiabetesHome page
A. Malhotra, S. C. Elbein, M. C.Y. Ng, R. Duggirala, R. Arya, G. Imperatore, A. Adeyemo, T. I. Pollin, W.-C. Hsueh, J. C.N. Chan, et al.
Meta-Analysis of Genome-Wide Linkage Studies of Quantitative Lipid Traits in Families Ascertained for Type 2 Diabetes
Diabetes, March 1, 2007; 56(3): 890 - 896.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.