Mitochondrial & ancestry

mtDNA variants

bcftools (mpileup | call, chrM, haploid)

Mitochondria carry their own circular genome of about 16,500 bases. Variants in it can cause energy-metabolism disorders, often involving muscle and the nervous system. Genome checks the mitochondrial sequence for known and novel variants.

Key points

  • mtDNA is inherited almost exclusively from the mother.
  • Heteroplasmy means mutated and normal mtDNA copies coexist.
  • Only above a threshold fraction of mutated copies does a clinical picture appear.

Heteroplasmy and threshold

Each cell contains hundreds to thousands of mtDNA copies. A pathogenic variant must reach a sufficiently high fraction before energy production visibly suffers. This fraction, the heteroplasmy level, can vary strongly between tissues, so a blood finding does not represent all organs. Mutated and normal copies can also shift across generations and years of life, so the fraction and its effect are not static.

How Genome analyses

Genome calls mtDNA variants with bcftools, restricted to the mitochondrial contig (chrM, chrMT, or MT depending on the BAM). Concretely it runs bcftools mpileup on the region, then bcftools call with a haploid assumption (ploidy 1) and the multiallelic model, since mtDNA is circular and not diploid. The comparison uses the reference the BAM was aligned against; for hg38 the chrM contig is the rCRS. There is no dedicated heteroplasmy caller such as mutserve or Mutect2: Genome shows a heteroplasmy or depth value only when the VCF carries such a field, and otherwise marks it as not reported. The called variants are then placed against a curated mitochondrial disease context (Genome MitochondrialVariantDB, drawn from ClinVar, MITOMAP, and HmtVar).

Why mtDNA from short-read WGS is hard

The rCRS (NC_012920) is the standard reference against which mtDNA positions are named in m. notation; without this anchor, position calls are not comparable. A key source of error is NUMTs, nuclear-encoded mitochondrial pseudogenes whose reads can map wrongly to mtDNA and mimic apparent low heteroplasmy. The default haploid call works well for clear variants and for haplogroup preparation, but it is not designed to reliably separate genuine low heteroplasmy from NUMT or sequencing artifacts. Genome therefore presents the technical variant review, separates it from interpretation, and avoids diagnostic overclaims; robust statements about heteroplasmy require validated confirmation together with coverage and tissue context.

What Genome measures. Mitochondrial DNA variants against the reference (rCRS), with heteroplasmy fraction where coverage allows, and a match against the mitochondrial disease context.

Related topics

Sources

  1. 1Andrews et al., 1999 Reanalysis and revision of the Cambridge reference sequence for human mitochondrial DNA. Nature Genetics 23:147. doi.org/10.1038/13779
  2. 2Gorman et al., 2016 Mitochondrial diseases. Nature Reviews Disease Primers 2:16080. doi.org/10.1038/nrdp.2016.80
  3. 3Lott et al., 2013 mtDNA Variation and Analysis Using Mitomap and Mitomaster. Current Protocols in Bioinformatics 44:1.23.1-1.23.26. doi.org/10.1002/0471250953.bi0123s44
  4. 4Stewart & Chinnery, 2015 The dynamics of mitochondrial DNA heteroplasmy: implications for human health and disease. Nature Reviews Genetics 16:530-542. doi.org/10.1038/nrg3966