HaploRec
HaploRec reconstructs phased haplotypes from unphased genotypes of unrelated individuals to enable large-scale haplotype-based disease association and gene mapping studies.
Key Features:
- Phasing target: Reconstructs phased haplotypes from unphased genotypes of unrelated individuals, addressing the haplotype reconstruction (phasing) problem.
- Statistical models: Implements three statistical models that exploit local regularities conserved within haplotypes to maximize local coherence.
- Local independence assumption: Does not assume statistical dependence between markers located far apart, enabling treatment of sparse marker maps.
- Efficiency and scalability: Exhibits running times approximately linear in the number of subjects and markers, reported as several orders of magnitude faster than Phase on large datasets.
- Comparative performance: Outperforms or is competitive with methods such as Phase, fastPhase, PL-EM, Snphap, and Gerbil, particularly with sufficiently large sample sizes.
Scientific Applications:
- Gene mapping: Provides haplotype reconstruction suited for linkage and association mapping in sparse marker maps.
- Disease association studies: Enables large-scale haplotype-based association analyses to identify genetic variants linked to disease.
- Population genetics: Facilitates analysis of genetic patterns within and across populations through inferred haplotypes.
Methodology:
Uses three statistical models that exploit local regularities conserved within haplotypes to maximize local coherence and explicitly does not assume dependence between distant markers; reported running time scales approximately linearly with the number of subjects and markers.
Topics
Collections
Details
- License:
- Proprietary
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Java
- Added:
- 8/20/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Eronen L, Geerts F, Toivonen H. HaploRec: efficient and accurate large-scale reconstruction of haplotypes. BMC Bioinformatics. 2006;7(1). doi:10.1186/1471-2105-7-542. PMID:17187677. PMCID:PMC1766938.