Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 70,077 bioRxiv papers from 306,093 authors.

emeraLD: Rapid Linkage Disequilibrium Estimation with Massive Data Sets

By Corbin Quick, Christian Fuchsberger, Daniel Taliun, Gonçalo Abecasis, Michael Boehnke, Hyun Min Kang

Posted 15 Apr 2018
bioRxiv DOI: 10.1101/301366 (published DOI: 10.1093/bioinformatics/bty547)

Summary: Estimating linkage disequilibrium (LD) is essential for a wide range of summary statistics-based association methods for genome-wide association studies (GWAS). Large genetic data sets, e.g. the TOPMed WGS project and UK Biobank, enable more accurate and comprehensive LD estimates, but increase the computational burden of LD estimation. Here, we describe emeraLD (Efficient Methods for Estimation and Random Access of LD), a computational tool that leverages sparsity and haplotype structure to estimate LD orders of magnitude faster than existing tools. Availability and Implementation: emeraLD is implemented in C++, and is open source under GPLv3. Source code, documentation, an R interface, and utilities for analysis of summary statistics are freely available at http://github.com/statgen/emeraLD

Download data

  • Downloaded 1,144 times
  • Download rankings, all-time:
    • Site-wide: 6,545 out of 70,086
    • In bioinformatics: 1,211 out of 6,878
  • Year to date:
    • Site-wide: 16,596 out of 70,086
  • Since beginning of last month:
    • Site-wide: 24,065 out of 70,086

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News