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Updated: May 28, 2026

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
Published on: February 10, 2023
MitoFREQ: A novel approach for mitogenome frequency estimation from top-level haplogroups and single nucleotide
Mikkel Meyer Andersen1, Nicole Huber2, Kimberly Sturk-Andreaggi3
1Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark; Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Abstract:
Forensic lineage markers pose a challenge in forensic genetics as their evidential value can be difficult to quantify. Lineage marker population frequencies can serve as one way to express evidential value. However, for some markers, e.g., high-quality whole mitochondrial DNA genome sequences (mitogenomes), population data remain limited. In this paper, we offer a new method, MitoFREQ, for estimating the population frequencies of mitogenomes. MitoFREQ uses the mitogenome resources HelixMTdb and gnomAD, harbouring information from 195,983 and 56,406 mitogenomes, respectively. Neither HelixMTdb nor gnomAD can be queried directly for individual mitogenome frequencies, but offers single nucleotide variant (SNV) allele frequencies for each of 30 "top-level" haplogroups (TLHG), which mainly correspond to the first letter of major mitochondrial DNA (mtDNA) haplogroups (e.g., A, B, C, D, E, etc.) except for the L0, L1, L2, L3, L4-6, HV, and R/B haplogroups. We propose using the HelixMTdb and gnomAD resources by classifying a given mitogenome within the TLHG scheme and subsequently using the frequency of its rarest SNV within that TLHG weighted by the TLHG frequency. We show that this method is guaranteed to provide a higher population frequency estimate than if a refined haplogroup and its SNV frequencies were used. Further, we show that top-level haplogrouping can be achieved by using only 227 specific positions for 99.9% of the tested mitogenomes, potentially making the method available for low-quality samples. The method was tested on two types of datasets: high-quality forensic reference datasets and a diverse collection of scrutinized mitogenomes from GenBank. This dual evaluation demonstrated that the approach is robust across both curated forensic data and broader population-level sequences. This method produced likelihood ratios in the range of 100-100,000, demonstrating its potential to strengthen the statistical evaluation of forensic mtDNA evidence. We have developed an open-source R package mitofreq that implements our method, including a Shiny app where custom TLHG frequencies can be supplied.
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