Mitochondrial Heteroplasmy Callsets for Humans and Fishes from Sequencing Data

High-confidence mitochondrial DNA heteroplasmy callsets generated using a Numt-aware filtering framework. The data includes results from 41 European individuals, two teleost fish species, and 39 human mother-child duos, published by kai liu in 2026. The dataset is stored in a 40.5 MB XLSX file.

Use Cases

• Investigating purifying selection on mitochondrial DNA based on heteroplasmy burden and genomic distribution patterns.
• Comparing heteroplasmy structural diversity across populations to infer demographic history or selective regimes.
• Estimating germ-line bottleneck size and mutation rates based on refined, high-resolution callsets.
• Analyzing mother-child transmission signatures of heteroplasmy in different tissues like blood and cheek.

Strengths

• Dataset is validated by simulation, achieving a consistent 0.99 F1 score across Numt divergence levels.
• Includes comparative data across multiple taxa: 41 human individuals, two fish species, and 39 mother-child duos.
• Applies a statistically rigorous filtering cascade to replace empirical cutoffs and remove artifacts.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• The description metadata is limited; actual data structure and quality require manual inspection.

Provenance

Source

figshare, with a canonical version noted on Zenodo.

Collection Method

Data generated from re-analysis of benchmark genomes and application of a Numt-aware profiling framework to whole-genome and amplicon sequencing data.

Time Range

null

Freshness

Last updated 2026-05-01 03:57:10; freshness should be verified.

Geography

Data includes European individuals and unspecified fish populations; specific geographic details are not provided.