LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants

Assessing linkage disequilibrium (LD) across ancestral populations is a powerful approach for investigating population-specific genetic structure as well as functionally mapping regions of disease susceptibility. Here, we present LDlink, a web-based collection of bioinformatic modules that query sin...

Full description

Saved in:
Bibliographic Details
Published inBioinformatics Vol. 31; no. 21; pp. 3555 - 3557
Main Authors Machiela, Mitchell J., Chanock, Stephen J.
Format Journal Article
LanguageEnglish
Published England Oxford University Press 01.11.2015
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Assessing linkage disequilibrium (LD) across ancestral populations is a powerful approach for investigating population-specific genetic structure as well as functionally mapping regions of disease susceptibility. Here, we present LDlink, a web-based collection of bioinformatic modules that query single nucleotide polymorphisms (SNPs) in population groups of interest to generate haplotype tables and interactive plots. Modules are designed with an emphasis on ease of use, query flexibility, and interactive visualization of results. Phase 3 haplotype data from the 1000 Genomes Project are referenced for calculating pairwise metrics of LD, searching for proxies in high LD, and enumerating all observed haplotypes. LDlink is tailored for investigators interested in mapping common and uncommon disease susceptibility loci by focusing on output linking correlated alleles and highlighting putative functional variants. Availability and implementation: LDlink is a free and publically available web tool which can be accessed at http://analysistools.nci.nih.gov/LDlink/. Contact: mitchell.machiela@nih.gov
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Associate Editor: Alfonso Valencia
ISSN:1367-4803
1367-4811
1460-2059
DOI:10.1093/bioinformatics/btv402