PopLDdecay
PopLDdecay computes linkage disequilibrium (LD) decay directly from variant call format (VCF) files to quantify non-random allele associations and characterize LD decay patterns in population genetics studies.
Key Features:
- Direct VCF File Processing: Processes VCF files without requiring intermediate steps that generate large pair-wise LD measurement files.
- Scalability and Speed: Handles large numbers of variants derived from sequencing data, including whole-genome single nucleotide polymorphisms (SNPs), to support rapid analysis.
- Storage Efficiency: Avoids exporting pair-wise LD measurement results to conserve storage space.
- Subgroup Analysis Support: Provides functionality for analyses within specific population subsets or genomic regions.
- LD Decay Metric Computation: Computes LD decay metrics to quantify how linkage disequilibrium decreases with genomic distance.
Scientific Applications:
- Evolutionary Inference: Infers historical recombination events and patterns affecting LD decay across genomes.
- Genetic Architecture Characterization: Assesses LD decay to inform the distribution of linkage around causal variants and marker density requirements.
- Association Mapping Support: Aids identification of genetic markers associated with traits by characterizing local LD structure.
- Population Structure and Selection Analysis: Provides insights into population structure and potential selection pressures via LD decay patterns.
Methodology:
Uses algorithms to compute LD decay metrics directly from VCF files while avoiding generation or exportation of pair-wise LD measurement files.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Perl
- Added:
- 7/4/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Zhang C, Dong S, Xu J, He W, Yang T. PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files. Bioinformatics. 2018;35(10):1786-1788. doi:10.1093/bioinformatics/bty875. PMID:30321304.
PMID: 30321304
Funding: - National Natural Science Foundation of China: 31701095, 81573241
- China Postdoctoral Science Foundation: 2016M602797, 2018T111038
- Young Sci-Tech New Star: 2018KJXX-010
Documentation
Links
Issue tracker
https://github.com/BGI-shenzhen/PopLDdecay/issues