Skip Navigation



Bioinformatics Advance Access published online on December 1, 2006
Bioinformatics, doi:10.1093/bioinformatics/btl615
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
23/4/517    most recent
btl615v1
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 Lau, W.
Right arrow Articles by Collins, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lau, W.
Right arrow Articles by Collins, A.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2006). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received September 21, 2006
Revised November 14, 2006
Accepted November 28, 2006

Applications note

Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome

Winston Lau 1 #, Tai-Yue Kuo 1 #, William Tapper 1, Simon Cox 2, and Andrew Collins 1 *

1 Human Genetics Division, Duthie Building (Mailpoint 808), Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK
2 Southampton Regional e-Science Centre, School of Engineering Sciences, University of Southampton, Southampton SO17 1BJ, UK

* To whom correspondence should be addressed.
Andrew Collins, E-mail: arc{at}soton.ac.uk


  Abstract

Summary: Linkage disequilibrium (LD) maps increase power and precision in association mapping, define optimal marker spacing and identify recombination hot-spots and regions influenced by natural selection. Phase II of HapMap provides ~2.8 fold more SNPs than phase I for constructing higher resolution maps. LDMAP-cluster, is a parallel program for rapid map construction in a Linux environment used here to construct genome-wide LD maps with more than 8.2 million SNPs from the phase II data.

Availability: The LD maps, LDMAP-cluster and documentation are available from: http://www.som.soton.ac.uk/research/geneticsdiv/epidemiology/LDMAP.

Supplementary information: Supplementary materials are available at Bioinformatics online.

Associate Editor: Keith A Crandall

# Joint first authorship


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
 Proc. Natl. Acad. Sci. USAHome page
J. Gibson, W. Tapper, D. Cox, W. Zhang, A. Pfeufer, C. Gieger, H.-E. Wichmann, S. Kaab, A. R. Collins, T. Meitinger, et al.
A multimetric approach to analysis of genome-wide association by single markers and composite likelihood
PNAS, February 19, 2008; 105(7): 2592 - 2597.
[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.