TOP-LD

TOP-LD provides linkage disequilibrium (LD) estimates derived from high-coverage whole-genome sequence (WGS) data from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program to support genetic association and population-genetic analyses.


Key Features:

  • Enhanced genetic variation representation: Leverages high-coverage (~30×) WGS from 15,578 TOPMed individuals to improve detection of rare variants and population-specific variation.
  • Expanded variant coverage: Includes LD information for ~150.3 million variants in European samples, 62.2 million in African samples, and 36.7 million in East Asian samples, representing a 2.6- to 9.1-fold increase over HaploReg 4.0 or LDlink (1000 Genomes Project–based) coverage.
  • Inclusion of structural variants: Incorporates tens of thousands of structural variants (SVs) into LD estimates to broaden the range of variant types analyzed.

Scientific Applications:

  • Fine-mapping: Enables fine-mapping of genetic associations, exemplified by analysis at the GGT1 locus for gamma-glutamyltransferase levels in African-ancestry participants from the UK Biobank.
  • Summary-statistics and population genetics analyses: Provides LD estimates for use with summary-statistic methods and population-genetic studies across diverse ancestries.

Methodology:

The methodology infers linkage disequilibrium from high-coverage (~30×) WGS data generated by the NHLBI Trans-Omics for Precision Medicine (TOPMed) program.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
8/16/2022
Last Updated:
11/24/2024

Operations

Publications

Huang L, Rosen JD, Sun Q, Chen J, Wheeler MM, Zhou Y, Min Y, Kooperberg C, Conomos MP, Stilp AM, Rich SS, Rotter JI, Manichaikul A, Loos RJ, Kenny EE, Blackwell TW, Smith AV, Jun G, Sedlazeck FJ, Metcalf G, Boerwinkle E, Raffield LM, Reiner AP, Auer PL, Li Y. TOP-LD: A tool to explore linkage disequilibrium with TOPMed whole-genome sequence data. The American Journal of Human Genetics. 2022;109(6):1175-1181. doi:10.1016/j.ajhg.2022.04.006. PMID:35504290. PMCID:PMC9247832.

PMID: 35504290
PMCID: PMC9247832
Funding: - National Institutes of Health: KL2TR002490, R01HL129132, R01HL146500, U01DA052713, U01HG011720, U24 AR076730

Documentation