LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants
By Mitchell J. Machiela, Stephen J. Chanock. Bioinform., 2015
1,846 citations recorded by the source corpus.
UNLABELLED 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.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/c126a617d162b38978a63a7397993f1be619bda6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Gonçalo R. Abecasis
- Christian Fuchsberger
- Cristen J. Willer
- P. van der Harst
- N. Verweij
- Michael Boehnke
- Jian Yang
- Joel Hirschhorn
In Molecular Biology
- Cristen J. Willer
- Markku Laakso
- Rui Xia
- Andre Franke
- James G. Wilson
- Marylyn DeRiggi Ritchie
- Gonçalo R. Abecasis
- Aaron F. McDaid
Citations in the corpus
- The power of genetic diversity in genome-wide association studies of lipids (2021, methodology): “We considered variants to be independent if they were outside this region, had LD R 2 0.7 or were not available in the LDpair reference populations.”