Haplotracker
Haplotracker predicts mitochondrial DNA (mtDNA) haplogroups from control-region and short fragmented sequences to enable haplogroup assignment and sub-haplogroup tracking for degraded samples.
Key Features:
- Novel algorithm: Employs an algorithm based on Phylotree Build 17 and a haplotype database of over 118,869 entries for haplogroup estimation from mtDNA control-region fragments.
- High accuracy in haplogroup prediction: Demonstrates higher concordance for top-ranking haplogroups (56.6%) in blind simulations compared with MitoTool (29.4%) and HaploGrep 2 (33.9%).
- Sub-haplogroup tracking: Narrows candidate haplogroups and identifies differential coding-region variants to refine and confirm sub-haplogroup assignments.
- Variant information: Reports sample variants with frequencies from a large mtGenome database to aid identification of common, rare, and potentially pathogenic mutations.
- Conserved-region mapping for primer design: Provides conserved-region mapping to support PCR primer design targeting diagnostic variants.
- Laboratory validation: Demonstrated utility through application to an ancient DNA extract.
Scientific Applications:
- Population genetics: Assigns mtDNA haplogroups for population-structure and evolutionary analyses.
- Forensic analysis: Enables haplogrouping of degraded or fragmented forensic and ancient DNA samples.
- Medical genetics: Supports investigation of mtDNA-associated mutations by providing variant frequency context from an mtGenome database.
Methodology:
Predicts haplogroups from control-region sequences using an algorithm based on Phylotree Build 17 and a haplotype database of >118,869 entries; validated on 8,216 control-region sequences and evaluated on 46,322 control-region sequences, including repeated blind simulations.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 1/30/2021
Operations
Publications
Kim K, Kim Y, Kim D, Kwon C, Kim K. Haplotracker: a web application for simple and accurate mitochondrial haplogrouping using short DNA fragments. Unknown Journal. 2020. doi:10.1101/2020.04.23.057646.