Mitochondrial DNA Pathogenic Variant Prevalence in Primary Mitochondrial Disease Patients With African (L) Mitochondrial Genome Haplogroups
Surita Meldau, Elizabeth M. McCormick, Ibrahim George‐Sankoh, Gillian T. Riordan, Kashief Khan, Laura E. MacMullen, Shrinav Dawlat, Dee Blackhurst, Marni J. Falk, Joanna L. Elson

TL;DR
This study examines mitochondrial DNA pathogenic variants in African patients with primary mitochondrial disease, revealing the presence of known disease-causing variants within African haplogroups and highlighting diagnostic disparities.
Contribution
The study provides new insights into mtDNA pathogenic variant prevalence in African L-haplogroup PMD patients, emphasizing diagnostic inequities.
Findings
Common pathogenic mtDNA variants occur in multiple African mtDNA lineages.
Diagnostic rates for mtDNA-related PMD are disproportionately low in African populations.
Clinical features of PMD in African patients align with those in other haplogroup cohorts.
Abstract
Primary mitochondrial diseases (PMD) are caused by pathogenic variants in over 350 genes, 37 of which are located in mitochondrial DNA (mtDNA). While more than 100 mtDNA variants have confirmed disease associations, there are few reports of mtDNA‐related PMD in patients with African heritage, even in well‐studied populations. We investigated the frequency of pathogenic mtDNA variants in African L‐haplogroups in patients with confirmed PMD from two diagnostic cohorts. Data from genetically confirmed mtDNA‐related cases were extracted from existing databases at the National Health Laboratory Service Inherited Metabolic Disease Laboratory in South Africa (SA), and the Children's Hospital of Philadelphia (CHOP) Mitochondrial Medicine Frontier Program (USA). Mitochondrial genome haplogroup context was recorded from existing sequence report data. Stored DNA from the remaining cases was…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
| Patient ID | Cohort | Age at genetic diagnosis | Sex | Mito haplogroup | Heteroplasmy level | Eye signs | SLE | Seizures | Dementia/Neuro regression | Cerebellar signs | SNHL | DM | Myopathy | CMO | Heart Block | Other key clinical features | Syndrome reported |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10 | SA | 25 years | M | L2a1b1a | 86.9% urine | + | + | DD, lactatemia | |||||||||
| 12 | SA | 32 years | F | 57.7% urine | + | + | MIDD | ||||||||||
| 13 | SA | 7 years | M | 71.9% blood | + | + | Elevated CSF lactate; DD; FTT | ||||||||||
| 16 | SA | 13 years | M | 62.3% blood | + | + | |||||||||||
| 11 | SA | 24 years | F | L0d1a1a1 | 46.2% blood | + | Abnormal balance, behavioral changes | ||||||||||
| 9 | SA | 29 years | F | L2a1f | 51.8% urine | Bilateral vision loss | + | + | + | Family history: sister had stroke at 26 years | MELAS | ||||||
| 14 | SA | 42 years | M | L0a2a2a | 89.7% Muscle | + | + | ||||||||||
| 15 | SA | 32 years | M | L0d2a1a | 44.9% blood | + | + | + | |||||||||
| 17 | SA | 15 years | M | L2a1a | 62.4% blood | NCH | |||||||||||
| 18 | SA | 18 years | M | L3e1b2 | 63.9% blood | + | + | + | |||||||||
| 19 | SA | 16 years | M | L0d2a1a1 | 91.5% Muscle | Optic atrophy | + | Short stature, mother is deaf | |||||||||
| 20 | SA | 45 years | F | L3e1a3a | 84.8% Urine | + | + | + | Hypercholesterolaemia, hypertension | MIDD | |||||||
| 48 | USA | 7 years | M | L2a1f3 | 77% blood | + | + | + | + | + | + | + | Short stature, FTT, WPW | MELAS | |||
| 49 | USA | 46 years | F | < 10% blood | Migraines | ||||||||||||
| 53 | USA | 28 years | F | L3d3a | 5% blood, 5% buccal, 6% urine | Fasting intolerance, headaches, mood disorder, family history of PMD |
| Patient ID | Cohort | Mito haplogroup | Heteroplasmy level | Age at genetic diagnosis | Age at onset (if known) | Sex | Eye signs | Syndrome reported |
|---|---|---|---|---|---|---|---|---|
| 1 | SA | L0d2a1a2 | 99.8% blood | 15 years | 12 years | M | Optic atrophy | LHON |
| 3 | SA | 99.7% blood | 55 years | u/k | M | Optic atrophy | LHON | |
| 5 | SA | L0d2a1a | 99.8% blood | 16 years | 16 years | M | Optic atrophy | LHON |
| 8 | SA | 93.1% blood | 34 years | u/k | M | Optic atrophy | ||
| 2 | SA | L0a2a2a | 99.9% blood | 17 years | u/k | M | Optic neuritis | |
| 4 | SA | L0d1b2b2b | 99.9% blood | 34 years | u/k | M | LHON | |
| 6 | SA | L3d1a1a1 | 100% blood | 35 years | u/k | M | LHON | |
| 7 | SA | L3e2b1a2 | 99.8% blood | 29 years | 27 years | M | Optic atrophy | LHON |
| Patient ID | Cohort | Age at genetic diagnosis | Sex | Result | Mito haplogroup | Eye signs | Cerebellar signs | SNHL | DM | Myopathy | CMO | Heart Block | Other Key clinical features | Syndrome reported | No clinical history available |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 26 | SA | 23 years | M | m.8482_13460del (CD) | L0a1b2a | CPEO RP Ptosis | + | ||||||||
| 27 | SA | 41 years | F | m.8482_13460del (CD) | L2a1b1a | CPEO | |||||||||
| 28 | SA | 25 years | M | m.8482_13460del (CD) | L0d2a1 | KSS | |||||||||
| 29 | SA | 23 years | M | m.8482_13460del (CD) | L0d1b2b2c | CPEO | |||||||||
| 30 | SA | 10 years | F | m.7128_14006del | L1c2a3a | CPEO RP Ptosis | + | ||||||||
| 31 | SA | 34 years | F | m.7737_15605del | L0d2b1a | CPEO RP | + | + | |||||||
| 32 | SA | 36 years | F | m.10946_15363del | L2a1a | KSS | |||||||||
| 33 | SA | 9 months 18 days | M | m.10050_15438del | L3e3b1 | Pearson | |||||||||
| 34 | SA | 22 years | M | m.11003_15527del | L0d2c2 | CPEO RP Ptosis | + | Short stature | KSS | ||||||
| 35 | SA | 52 years | M | m.11607_15438del | L3e2b1a2 | CPEO Ptosis | + | Dyslipidemia, hypertension | |||||||
| 36 | SA | 15 years | M | m.7824_15388del | L0d2c2 | KSS | |||||||||
| 37 | SA | 22 years | F | m.8565_15607del | Lod2a1 | Ptosis RP | + | + | + | RRF in muscle | |||||
| 38 | SA | 49 years | F | m.9497_13835del | L0d1b2b1b1 | CPEO | + | + | Dysphagia | KSS | |||||
| 39 | SA | 70 years | F | m.12113_144221del | L0d2c2 | CPEO | + | Cox negative fibers and RRF in muscle | |||||||
| 40 | SA | 6 years | M | m.8623_15656del | L0a1b1a1 | RP | FTT | Fanconi S | |||||||
| 56 | USA | 18 years | F | m.5787_16075del (and m.10038G>A) | L3f1b3 | Retinal dystrophy, cataracts | + | + | + | FTT, chronic kidney disease, Cox negative fibers and RRF in muscle | MM | ||||
| 57 | USA | 4 years | M | m.695_2449del | L2c2b1a | Nyctalopia, normal fundus exam, mild changes noted on ERG | + | + | Migraines; FTT; ADHD, Immune deficiency | Pearson | |||||
| 59 | USA | 12 years | M | m.3566_15537del | L2a1e1 | Optic atrophy, ophthalmoplegia | + | + | + | + (LVH) | No (ICD placed) | Migraines, hypertension, mitral valve prolapse | KSS | ||
| 60 | USA | 8 months | M | m.10668_14230del | L3d1d | SGA/IUGR at birth, short stature, FTT | Pearson | ||||||||
| 62 | USA | 22 months | M | m.6456_11401del | L2c1 |
|
| Patient ID | Cohort | Age at genetic diagnosis | Sex | Pathogenic variant | Heteroplasmy level | Mito haplogroup | Eye signs | SLE | Seizures | Dementia/Neuroregression | Cerebellar signs | SNHL | Myopathy | CMO | Other key clinical features | Syndrome reported |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 41 | SA | 3 years | M | MT‐ATP6:m.9176T>C | 100% muscle | L2a1a | Nystagmus | Respiratory problem, Raised CSF lactate | LSS | |||||||
| 42 | SA | 52 years | F | MT‐ATP6:m.8993T>C | 64.3% blood | L0d1b2b2b1 | Strong family history | NARP | ||||||||
| 43 | SA | 26 years | M | MT‐ND1:m.3460G>A | 14.3% blood | L3e1b2 | Chronic papilledema | LHON | ||||||||
| 44 | SA | 13 years | F | MT‐ND1:m.G3635A | 100% muscle | L0a1b1a1 | CPEO Ptosis | + | + | + | ||||||
| 45 | SA | 7 years | M | MT‐ND3:m.10197 | 100% blood | L1c2a3a | LSS | |||||||||
| 46 | SA | 2 years 8 months | M | MT‐ND5:m.13094T>C | 83% muscle | L0d1c1a | Optic atrophy ophthalmoplegia | + | LSS | |||||||
| 47 | SA | 39 years | F | MT‐ND6:m.14453G>A | 87% muscle, < 5% blood | L0d1a1a1 | + | + | MELAS | |||||||
| 21 | SA | 27 years | M | MT‐ND6:m.14484T>C | 100% blood | L2a1b1a | LHON | |||||||||
| 22 | SA | 21 years | M | 100% blood | LHON | |||||||||||
| 23 | SA | 16 years | ?M | 100% blood | Central visual field loss | LHON | ||||||||||
| 24 | SA | 29 years | M | 100% blood | Optic atrophy | |||||||||||
| 25 | SA | u/k | M | 98.9% blood | NCH | |||||||||||
| 50 | USA | 16 months | F | MT‐TK:m.8344A>G | 97% blood | L2c2 | Optic atrophy | + | + | + | + | Respiratory failure | LSS/MERRF overlap | |||
| 51 | USA | 44 years | F | 88% blood | + | + | + | + | + | Lipomas | MERRF | |||||
| 52 | USA | 39 years | F | 79% blood | + | Lipoma | ||||||||||
| 54 | USA | 6 years | F | MT‐ND5:m.13513G>A | 45% muscle | L2a1a3c | Optic atrophy | + | + | + | + | + | FTT | LSS | ||
| 61 | USA | 17 months | M | 60% buccal | L3f1b1a | Ptosis | + | Short stature/FTT, dystonia, hyperreflexia | ||||||||
| 55 | USA | 7 months | M | MT‐ATP6:m.8993T>G | 98% blood | L2a1c4a1 | Optic atrophy | + | + | + | FTT, lactic acidosis | LSS | ||||
| 58 | USA | 4 months | M | 96% blood | L2a1 | Optic atrophy | + | + | + (mild LVH) | Feeding difficulty, choreiform movements | LSS |
- —National Health Laboratory Service10.13039/501100010753
- —Children’s Hospital of Philadelphia Mitochondrial Medicine Frontier Program
- —Warren Alpert Foundation10.13039/100002558
- —Wellcome Trust Centre for Mitochondrial Research10.13039/501100013372
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMitochondrial Function and Pathology · Metabolism and Genetic Disorders · Metalloenzymes and iron-sulfur proteins
Summary
- Common pathogenic mtDNA variants causal of PMD occur in the context of African mtDNA genome haplogroup lineages, while persistent diagnostic inequalities contribute to underdiagnosis of primary mitochondrial disease.
Introduction
1
Primary mitochondrial diseases (PMD) are a large group of genetically and phenotypically heterogeneous disorders arising from inherited defects in mitochondrial energy production. They account for a significant proportion of inherited metabolic defects worldwide [1], with an estimated prevalence of at least 1 in 4300 [2]. PMD can be caused by pathogenic variants in any one of more than 400 genes encoding mitochondrial proteins with proven gene‐disease associations, including genes involved in transcriptional, translational, and other regulatory pathways [3]. Thirty‐seven of these genes are located in the mitochondrial DNA (mtDNA) genome [1].
Very little is known about PMD on the African continent. Indeed, limited information is known about PMD in those with African ancestry globally. A few publications from South Africa in the extreme south of Africa [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], as well as in Tunisia [19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38], Morocco [39, 40, 41, 42] and Egypt [43, 44, 45, 46] in the extreme north of Africa, have described isolated cohorts of patients with suspected PMD. However, descriptions of genetic defects underlying the disease are lacking for many of these cohorts. Genetically defined cases have mainly been in the context of nuclear DNA (nDNA) disease, with many reported resulting from consanguinity [19, 22, 23] and others due to founder variants [4, 11, 40] in isolated populations.
No cases of mitochondrial encephalomyopathy with lactic acidosis and stroke‐like episodes (MELAS) or maternally‐inherited diabetes and deafness (MIDD), or any overlap syndromes related to the common m.3243A>G variant in MT‐TL1 have been reported in sub‐Saharan Africa, with the exception of an ethnically diverse South African cohort [6].
There is also a paucity of reports of confirmed mtDNA related PMD in patients with sub‐Saharan African heritage in the literature, even in well‐studied population cohorts such as those from North America [47, 48]. Possible explanations for this observation have included unknown masking factors and disease modifiers that may reduce penetrance conferred by haplogroup context [9, 47, 49, 50, 51]. Strong empirical evidence supporting these hypotheses remains lacking.
The mitochondrial DNA haplogroups associated with the African continent are denoted by the letter L and are found in individuals of Black African heritage globally. It is important to note that the haplogroups found in other global populations fall within the macrohaplogroups MN, which are a subgroup of the African haplogroup L3. Individuals who are categorized within the supergroup MN are not included in this study.
Only a handful of studies have ever reported on mtDNA disease occurring in the context of genetically confirmed African L haplogroups [6, 10, 12, 52, 53] which, in the absence of additional data, may support a hypothesis that mtDNA related disease less frequently occurs in African populations [9, 10], whether due to the influence of haplogroup context [54, 55] or other yet undefined mechanisms.
Meldau et al. recently reported on 155 genetically confirmed PMD cases from South Africa in a retrospective cohort study from a single diagnostic referral laboratory [6]. Although the largest of its kind from the African continent, this study evaluated largely unscreened referrals from the genetically and ethnically diverse South African population that includes many from European‐derived ancestries; little to no data was available on the ancestral diversity in the positive cases. Haplogroup context was reported for only eight of the 113 patients with mtDNA‐based PMD, of whom four had L haplogroups. Three of these individuals carried very rare mtDNA variants (m.3635G>A, m.10197G>A, m.13094T>C), while a single individual carried the well‐known Leigh syndrome spectrum variant, m.9176T>C, in the context of an L2 haplogroup [6].
This study aimed to identify and characterize a comprehensive cohort of PMD patients of African maternal ancestry with confirmed African L haplogroups in the context of pathogenic mtDNA variants. mtDNA genome sequencing was performed in South African patients with genetically confirmed PMD at a national referral laboratory that serves both state and private healthcare services, and in a large PMD cohort of individuals with mtDNA‐based diseases and African ancestry from the United States. This paper shows conclusively for the first time that the common disease‐associated variants often seen in European PMD patients are also seen in black African heritage. We also consider the possibility of diagnostic disparities and the possible reasons for this.
Methods
2
Institutional ethical approval for this study was obtained from the University of Cape Town (UCT) Human Research Ethics Committee (HREC #156/2021). Subjects from the United States were enrolled via an informed consent process or decedent waiver into Children's Hospital of Philadelphia (CHOP) Institutional Review Board (IRB) study #08‐6177 (Falk, PI; active 2008 to present), reflecting a national and international origin referral base.
The SA cohort represented most of the 96 families described in the original cohort publication from 2022 [6], and additional patients subsequently diagnosed. Data from all genetically‐confirmed mtDNA related PMD cases from SA were extracted from the National Health Laboratory Service (NHLS)/UCT Inherited Metabolic disease database for analysis. Where mtDNA genome sequencing was originally done for the diagnostic workup, haplogroup data was recorded (N = 24). Urine, muscle, or peripheral blood derived DNA specimens were obtained for the remainder of the positive cases (N = 74) from the UCT HREC registered Inherited Metabolic Disease repository. Sixteen samples were excluded from further analysis due to insufficient material and/or degraded DNA, as evidenced by repeated lack of PCR amplification. The complete coding region of the mtDNA was amplified in the remaining 58 cases, using the Qiagen UltraRun long‐range PCR kit (Qiagen, Germany), followed by library preparation using the Nexterra XT DNA library preparation kit (Illumina, USA), and sequencing using the Illumina MiSeq v.2 Nano or Micro kits (Illumina, USA). MtDNA variants were called using mtDNA‐Server [56], which includes haplogroup analysis through Haplogrep [57]. Where family relationships were clearly established, sequencing was only performed on 1 maternal family member, with the haplogroup of the other positive cases in the same family inferred.
mtDNA genome sequencing was performed on a clinical diagnostic basis in individuals with suspected PMD in the US cohort. Genetic testing reports were reviewed and haplogroup information extracted. In several instances where haplogroups were not provided but benign variants were listed on clinical testing reports, mtDNA genome sequence variants were entered into MITOMASTER SNV query tool to obtain haplogroup information [58]. Available clinical phenotype data, as well as heteroplasmy levels of reported variants were collated and major phenotypes described.
Statistical analysis on the proportion differences between the cohorts and population figures was performed using a one‐sample Z‐test for proportions conducted in GraphPad Prism v10.
Results
3
Haplogroup information was obtained from existing and newly generated next‐generation sequencing (NGS) data for 82 SA cases, of which 67 carried unique mutation‐haplogroup combinations that suggested a minimum of 67 families were represented in the entire cohort. Forty‐seven of these 82 cases (57%) had African L haplogroups. NGS data analysis confirmed the presence of all pathogenic variants previously identified through alternative methodologies (RFLP and/or Sanger sequencing for single variants). In addition, 15 out of 165 (9%) US PMD patients, for whom haplogroup data was accessible, representing a total of 12 unique kindreds, were found to have L haplogroup ancestry and pathogenic mtDNA variants.
Combined data revealed unique African (L) haplogroups for at least 11 (9 SA, 2 USA) families with the common m.3243A>G MELAS/MIDD variant (Table 1), 6 (6 SA, 0 USA) families with the common m.11778G>A LHON variant (Table 2), 20 (15 SA, 5 USA) patients with single large‐scale mtDNA deletions (SLSMD, of which 4 SA patients carried the common 4977 bp mtDNA deletion, Table 3), 2 (0 SA, 2 USA) families with the common m.8993T>G NARP variant, 2 (0 SA, 2 USA) families with the common m.13513G>A Leigh syndrome spectrum variant, and one PMD family each with m.14484T>C, m.3460G>A, m.9176T>C, m.8993T>C, m.3635G>A, m.8344A>G, m.10197G>A, m.13094T>C, and m.14453G>A pathogenic mtDNA variants (Table 4). Complete details are summarized for each PMD patient of their mtDNA genome haplogroup data, mtDNA pathogenic variant heteroplasmy level, demographics, and available clinical phenotype data for all L haplogroup cases (Tables 1, 2, 3, 4).
Discussion
4
Here, we described the first comprehensive retrospective cohort study of mtDNA haplogroup and variant characteristics in African ancestry patients across a major diagnostic referral laboratory in South Africa and a major clinical center in the United States. This work clearly demonstrates that known pathogenic variants in the mtDNA genome that are causal of classical mitochondrial disease pathology do occur at a much greater degree than previously suggested across 97 PMD patients from multiple African mtDNA genome lineages. Collectively, the common m.3243A>G MELAS/MIDD variant, and m.11778G>A LHON variant, as well as single large‐scale mtDNA deletions (SLSMDs) accounted for most (47%, 37 of 79 unique kindreds) of the PMD cases described, while various other well‐recognized pathogenic variants were identified in the African L macrohaplogroup context.
This finding contrasts with previous studies reporting on the absence of pathogenic mtDNA variants, especially including the m.3243A>G MT‐TL1 variant, from Black African populations [10, 12, 25, 44, 59]. Importantly, most of these studies primarily focused on broad patient cohorts where PMD was not the only or even the most likely cause of disease. A more recent study that analyzed mtDNA sequences from whole exome sequencing data in 342 South African and 21 Zambian patients with undiagnosed neuromuscular disease (NMD) found no known causal pathogenic variants in any patients with L haplogroups. However, they did describe incidental findings in four patients with L0 haplogroups, including two patients with the m.1555A>G aminoglycoside induced deafness variant with no evidence of hearing loss and two patients with the m.14484T>C LHON variant with no associated LHON phenotype [12]. As their cohort included only undiagnosed NMD patients, it is plausible that the study may have excluded South African patients that had already received a diagnosis through local diagnostic services.
Although these data confirm that well‐described pathogenic mtDNA variants do occur in the context of disease in patients from African lineages, it is notable that only 57% of PMD mtDNA disease patients from the South African cohort and 9% of African American patients in the CHOP USA mtDNA‐based PMD clinical cohort had L haplogroups. These percentages are lower than expected considering that the 2022 South African census reported more than 81% of the population to be Black South Africans [60], and Black individuals with African American heritage are reported to account for at least 12.1% of the USA population [61]. These figures represent a significant underrepresentation of L‐haplogroups than expected in the South African cohort (57% compared with 81%, p < 0.0001). A similar discrepancy was reported in a North American cohort where less than 3% of diagnosed patients were reported to be African American [47], although it should be noted that many of the CHOP Mitochondrial Medicine patients analyzed here were also enrolled in that study. Such a pronounced disparity was not seen in the US data in our study (9% compared to 12.1%, p = 0.236), although numbers remain low.
Furthermore, given that the South African mtDNA genome data originates from the only diagnostic referral laboratory both in the country and in sub‐Saharan Africa, the overall diagnostic confirmation rate in both African and other lineages remains far below the 1 in 4300 minimal prevalence reported in different parts of the world [2, 62, 63, 64]. We postulate there are multifactorial reasons for this finding, including referral bias for mtDNA genome sequencing, lack of access to diagnostic testing, reduced clinical awareness of PMD in overburdened health systems with high prevalence of infectious diseases, and complex political and socio‐economic factors. While it is not known whether African haplogroup context influences the clinical disease penetrance of mtDNA pathogenic variants in carriers, the retrospective review of PMD cases presented here demonstrates that a wide range of African L haplogroups do manifest PMD from both common and rare mtDNA pathogenic variants.
The importance of haplogroup context in modifying phenotypic expression of PMD should not be ignored. A common population non‐pathogenic variant, m.13708G>A, normally associated with haplogroup J, was recently reported as a rare cause of PMD in a haplogroup H7A background [65]. Similarly, a study in African patients with Parkinson's disease suggested that haplogroup context is important in modifying the impact of population variants in the context of complex disease [66]. Interestingly, a study by Queen et al. reported that other mammals may carry known human pathogenic mtDNA variants in the absence of disease. They showed, for instance, that the m.3243A>G human pathogenic variant in MT‐TL1 can be a frequent occurrence in other mammals without causing disease when in a single haplotype context with two other MT‐TL1 variants (m.3253T>C and m.3254C>T) that are rare but do also occur in the human population. These variants were predicted to stabilize the mitochondrial tRNA^Leu^ molecule, which could modulate the effect of the m.3243A>G variant. The m.3253T>C variant has been associated with haplogroup L2b1a2, although it is not unique to this single sub‐haplogroup context [55, 58]. Despite low numbers, it is notable that none of the 11 m.3243A>G positive PMD families identified in this retrospective study carried this variant in the context of the African haplogroup L2b. Another study investigated whether confirmed human mtDNA pathogenic variants occur across 726 multiple sequence alignments derived from 33 non‐human vertebrate species. Fifty‐eight pathogenic human mtDNA variants were found to occur in the sequences of these species, with evidence of population variants in these animals that could mask the pathogenicity [49]. While some of these variants were present on the human phylogeny, others were not.
Our finding multiple high‐level and sub‐haplogroup contexts of causal mtDNA pathogenic variants in PMD patients proves that although a possible contributor, the modifying effects of haplogroup context are not a main driver of the diagnostic disparities evident for African patients. Rather, it is more likely that the majority of African mtDNA‐based PMD cases simply go undiagnosed for reasons other than genetic modifying factors. One such possible reason is the inaccessibility to and/or unavailability of specialized mtDNA genetic diagnostic services on the African continent. A recent study by Raga et al. showed that only a small percentage of African countries had access to local genetic testing services for NMDs in children, mostly limited to single gene testing for a subset of more common NMDs like spinal muscular atrophy and Duchenne muscular dystrophy. Although a number of countries in Africa had access to overseas referrals, more extensive testing is often not supported by public healthcare services in the majority of African countries [67]. This lack of access is further supported by the visitor and audience geolocation heat maps of the Mitomap.org [58] mtDNA variation database (https://clustrmaps.com/site/h7h5), suggesting that this globally recognized resource is not used to a great degree by African clinicians and medical geneticists.
Strikingly, only two of the 15 m.3243A>G positive cases in our combined cohorts presented with the milder MIDD phenotype typically associated with this variant. This suggests that only the most severe, multi‐system, syndromic cases come to the attention of specialized medical services in these settings. Socio‐economic and overburdened healthcare services may account for some of these discrepancies. Similarly, in the United States, there may be under recognition of PMD in patients of African origin, leading to lower rates of clinical referral to tertiary mitochondrial medicine centers and/or reduced frequency of mtDNA genome diagnostic testing.
The challenges faced by African researchers and healthcare workers in making sense of mtDNA variation as it relates to the health of Black South African populations were highlighted in a 2014 meeting report, resulting from a workshop aimed at addressing the diagnostic disparities in South Africa and globally [16]. Attendees included the core of the South African mitochondrial community, as well as contributors from the UK, with a focus on reviewing the current knowledge base while fostering a more structured collaborative approach to improving our understanding of PMD in Africa. The published meeting report and subsequent publications highlighted the limited existing capacity to provide equal and comprehensive diagnostic services to all affected patients as a key contributor to the diagnostic disparities seen in southern Africa [14, 16]. Healthcare programs in Africa are typically orientated towards the global challenges posed by preventable and infectious diseases. Access to specialist services, such as neuromuscular expertise, capacity for neuroimaging, biochemical investigation, and specialized genetic testing, is generally limited [67].
The findings from this study, when taken in the context of recent advances in our understanding of mtDNA variation in different haplogroup contexts, highlight the need for deeper investigations into the socio‐economic factors preventing diagnosis of PMD in African patients globally, as well as the presence of common haplogroup defining variants in unrelated haplogroups. As an example, a common European population variant might occur out of place in the L‐haplogroup context of undiagnosed individuals with suspected PMD; in this event, the European haplogroup marker should not be ruled out as having pathogenic potential. A good example of variants occurring in a novel haplogroup context and having a pathological effect is the recent description of a haplogroup J‐defining variant conferring a disease phenotype in the context of haplogroup H7A [65]. A prospective study of asymptomatic carriers for common mtDNA pathogenic variants would also be important to accurately inform the relative influence of L macro or microhaplogroups on clinical penetrance of PMD. We hypothesize that multiple undiscovered mtDNA‐related disease associations remain to be identified in African patients, which may broaden our understanding of this field. Indeed, much remains to be discovered in understanding the role of pathogenic variants in mitochondrial genes in human disease globally.
Overall, we have demonstrated that PMD due to known pathogenic mtDNA variants does occur in the context of multiple African (L) haplogroups and causes a similar spectrum of clinical phenotypes as have been reported worldwide. Yet, numbers of diagnosed black African ancestry cases remain low relative to expected population frequencies both in the South African state healthcare services and in the United States, although the latter did not reach statistical significance. We suggest that this may be due in part to diagnostic inequalities that still exist on both continents, but to a greater degree in Africa where resources are scarce. Haplogroup context may play a role in clinical disease penetrance and/or the clinical ability to recognize disease, and there may be pathogenic mtDNA variants yet to be discovered. Unraveling the role of haplogroup context and possible nDNA modifiers in phenotypic expression of disease in patients with Black African ancestry will assist in closing the diagnostic inequality gap in patients of African heritage globally. However, this should not distract from addressing diagnostic disparities caused by economic inequalities.
Author Contributions
Conceptualization, planning, and design of this study was performed by S.M., G.T.R., M.J.F., and J.L.E. S.M., K.K., and S.D. performed SA cohort experiments. S.M. performed SA cohort analysis, data review, and manuscript preparation. G.T.R., D.B., J.L.E., and M.J.F. supervised the study. E.M.M., I.G.‐S., L.E.M., and M.J.F. performed USA cohort analysis and data review. All authors approved the final manuscript.
Ethics Statement
Institutional ethical approval for this study was obtained from the UCT Human Research Ethics Committee (HREC/REF: 156/2021). Subjects from the United States were enrolled via an informed consent process or decedent waiver into Children's Hospital of Philadelphia (CHOP) Institutional Review Board (IRB) #6177 (Falk, PI).
Consent
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000. Subjects from South Africa were enrolled via an informed consent process where possible, or through a consent waiver process approved by the UCT Human Research Ethics Committee (HREC/REF: 156/2021). Subjects from the United States were enrolled via an informed consent process or decedent waiver into Children's Hospital of Philadelphia (CHOP) Institutional Review Board (IRB) #6177 (Falk, PI).
Conflicts of Interest
The authors declare no conflicts of interest.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1J. Rahman and S. Rahman , “Mitochondrial Medicine in the Omics Era,” Lancet 391, no. 10139 (2018): 2560–2574, 10.1016/s 0140-6736(18)30727-x.29903433 · doi ↗ · pubmed ↗
- 2G. S. Gorman , A. M. Schaefer , Y. Ng , et al., “Prevalence of Nuclear and Mitochondrial DNA Mutations Related to Adult Mitochondrial Disease,” Annals of Neurology 77, no. 5 (2015): 753–759, 10.1002/ana.24362.25652200 PMC 4737121 · doi ↗ · pubmed ↗
- 3M. J. Falk , ed., Mitochondrial Disease Genes Compendium: From Genes to Clinical Manifestations (Academic Press, 2020).
- 4S. Meldau , R. J. De Lacy , G. T. M. Riordan , et al., “Identification of a Single MPV 17 Nonsense‐Associated Altered Splice Variant in 24 South African Infants With Mitochondrial Neurohepatopathy,” Clinical Genetics 93, no. 5 (2018): 1093–1096, 10.1111/cge.13208.29318572 · doi ↗ · pubmed ↗
- 5S. Meldau , C. Fratter , L. N. Bhengu , et al., “Pitfalls of Relying on Genetic Testing Only to Diagnose Inherited Metabolic Disorders in Non‐Western Populations ‐ 5 Cases of Pyruvate Dehydrogenase Deficiency From South Africa,” Molecular Genetics and Metabolism Reports 24, no. 100629 (2020): 1–3, 10.1016/j.ymgmr.2020.100629.PMC 738783732742935 · doi ↗ · pubmed ↗
- 6S. Meldau , E. P. Owen , K. Khan , and G. T. Riordan , “Mitochondrial Molecular Genetic Results in a South African Cohort: Divergent Mitochondrial and Nuclear DNA Findings,” Journal of Clinical Pathology 75, no. 1 (2022): 34–38, 10.1136/jclinpath-2020-207026.33115810 · doi ↗ · pubmed ↗
- 7L. Roberts , S. Julius , S. Dawlat , et al., “Renal Dysfunction, Rod‐Cone Dystrophy, and Sensorineural Hearing Loss Caused by a Mutation in RRM 2B,” Human Mutation 41 (2020): 1871–1876, 10.1002/humu.24094.32827185 · doi ↗ · pubmed ↗
- 8M. Schoonen , I. Smuts , R. Louw , et al., “Panel‐Based Nuclear and Mitochondrial Next‐Generation Sequencing Outcomes of an Ethnically Diverse Pediatric Patient Cohort With Mitochondrial Disease,” Journal of Molecular Diagnostics 21, no. 3 (2019): 503–513, 10.1016/j.jmoldx.2019.02.002.30872186 · doi ↗ · pubmed ↗
