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. Author manuscript; available in PMC: 2024 Oct 1.
Published in final edited form as: Ann Neurol. 2023 Aug 12;94(4):696–712. doi: 10.1002/ana.26716

Expert panel curation of 113 primary mitochondrial disease genes for the Leigh syndrome spectrum

Elizabeth M McCormick 1, Kierstin Keller 2, Julie P Taylor 3, Alison J Coffey 3, Lishuang Shen 4, Danuta Krotoski 5, Brian Harding 6,7; NICHD ClinGen U24 Mitochondrial Disease Gene Curation Expert Panel, Xiaowu Gai 4,8,*, Marni J Falk 1,7,*, Zarazuela Zolkipli-Cunningham 1,7,*, Shamima Rahman 9,*
PMCID: PMC10763625  NIHMSID: NIHMS1905416  PMID: 37255483

Abstract

Objective:

Primary mitochondrial diseases (PMDs) are heterogeneous disorders caused by inherited mitochondrial dysfunction. Classically defined neuropathologically as subacute necrotizing encephalomyelopathy, Leigh syndrome spectrum (LSS) is the most frequent manifestation of PMD in children, but may also present in adults. A major challenge for accurate diagnosis of LSS in the genomic medicine era is establishing gene-disease relationships (GDRs) for this syndrome with >100 monogenic causes across both nuclear and mitochondrial genomes.

Methods:

The Clinical Genome Resource (ClinGen) Mitochondrial Disease Gene Curation Expert Panel (GCEP), comprising 40 international PMD experts, met monthly for 4 years to review GDRs for LSS. The GCEP standardized gene curation for LSS by refining the phenotypic definition, modifying the ClinGen Gene-Disease Clinical Validity Curation Framework to improve interpretation for LSS, and establishing a scoring rubric for LSS.

Results:

The GDR with LSS across the nuclear and mitochondrial genomes was classified as definitive for 31/114 gene-disease relationships curated (27%); moderate for 38 (33%); limited for 43 (38%); and 2 as disputed (2%). Ninety genes were associated with autosomal recessive inheritance, 16 were maternally inherited, 5 autosomal dominant, and 3 X-linked.

Interpretation:

GDRs for LSS were established for genes across both nuclear and mitochondrial genomes. Establishing these GDRs will allow accurate variant interpretation, expedite genetic diagnosis of LSS, and facilitate precision medicine, multi-system organ surveillance, recurrence risk counselling, reproductive choice, natural history studies and eligibility for interventional clinical trials.

Keywords: Leigh syndrome, Leigh-like, primary mitochondrial disease, gene-disease relationship, phenotype, pathogenic variant

INTRODUCTION

Primary mitochondrial diseases (PMDs) are a group of heterogenous disorders caused by inherited deficiencies of mitochondrial energy metabolism. Leigh syndrome (LS) is the most common PMD phenotype in children, but may also rarely present in adulthood. This progressive neurodegenerative disorder was first described in 1951 as a neuropathologic entity with characteristic brainstem, midbrain and basal ganglia lesions1, and by 1977 had evolved to include impaired mitochondrial function when a link was made in some cases to mitochondrial respiratory chain complex IV deficiency. Over time, as brain imaging came into common clinical practice and genetic etiologies began to be identified, the LS diagnosis could be made prior to autopsy2. While “Leigh-like syndrome” (LLS) began to be used to describe affected individuals who did not fulfil strict LS criteria2, this term has been interpreted and applied inconsistently. With advances in genetic understanding, it has now become apparent that LS and LLS frequently have significant clinical and biochemical overlap, resulting from pathogenic variants in the same spectrum of mitochondrial and nuclear genes.

The Clinical Genome Resource (ClinGen)3- approved Mitochondrial Disease Gene Curation Expert Panel (Mito GCEP) was formed in 2017 with grant funding from the National Institute of Child Health and Human Development (NICHD) at the National Institutes of Health (NIH) to evaluate published evidence supporting the gene-disease relationship (GDR) for genes associated with LS, using the ClinGen framework for expert evaluation of clinical validity of GDRs4. Given the overlap between LS and LLS, the Mito GCEP proposed the overarching term Leigh syndrome spectrum (LSS) to be the disease entity for expert GDR curation. Of note, this effort represents the first time these clinical entities have been redefined by the mitochondrial disease community in 25 years. Here, we describe the consensus work of this initiative, where more than three dozen global PMD experts reviewed, discussed, and agreed on strength of evidence of GDRs for LSS that were subject to standardized curation using the ClinGen framework by a dedicated team of biocurators. Through this work, scoring recommendations were made to the ClinGen Gene Curation Standard Operating Procedure (SOP) to ensure consistency in its implementation for gene curation of nuclear and mitochondrial DNA (mtDNA) causes of LSS.

METHODS

Institutional Review Board (IRB) approval was not required as no human subjects were involved in this project.

Mito GCEP expert panel composition.

The Mito GCEP was assembled within the ClinGen Expert Panel framework and under the umbrella of the Mitochondrial Disease Sequence Data Resource (MSeqDR)57. The panel gained ClinGen Expert Panel approval on June 20, 2018 (https://clinicalgenome.org/affiliation/40027/). PMD experts with a particular focus in LSS included clinical geneticists, neurologists, metabolic physicians, neuropathologists, bioinformaticians, researchers, and laboratory directors from 30 institutions (18 in United States, 12 international) across nine countries (Supplemental Fig 1). The effort was co-led by physician-scientists with expertise in mitochondrial biology, mitochondrial disease, genetics, and LSS. Biocurators included genetic counselors and PhD-level clinical genomics scientists from both academia and diagnostic laboratories. The study coordinator, who also served as a biocurator, organized, scheduled, and moderated both small group biocurator reviews and full Mito GCEP meetings. A neuroradiologist and neuropathologist with expertise in LSS were also invited to meetings when specific questions arose in these areas.

LSS gene and phenotype prioritization.

LSS was prioritized for curation as a paradigm for the approach in a major clinical subset of PMD as no consistent syndrome is seen across all genes associated with PMD. Disease entities listed in existing sources, such as ‘mitochondrial complex I deficiency’ or ‘combined oxidative phosphorylation deficiency,’ are arbitrarily named based on biochemical pathway and/or disease mechanism, and represent a wide range of phenotypes, but do not have unique clinical significance. In contrast, LSS is a distinct entity, representing the most frequent presentation of PMD in childhood, and after careful consideration of ClinGen Lumping and Splitting guidelines, was chosen as the disease entity for this effort8. Genes across both nuclear and mitochondrial genomes were selected for expert curation based on a prior literature review associating these genes with LSS9. Additional genes were added for curation as suggested by Mito GCEP members based on having a new publication or presentation at a scientific conference. No new genes were added for Mito GCEP biocuration and expert panel review after February 11, 2021.

LSS disease entity definition and gene curation SOP delineation.

The historic definitions of LS and LLS were reviewed and summarized by the Mito GCEP leadership. An updated overarching term, “Leigh syndrome spectrum” (LSS), was proposed and approved by the Mito GCEP. The LSS definition had several iterations that evolved as additional gene curations were completed. Curation was performed in accordance with the ClinGen Gene Curation SOP, available at https://clinicalgenome.org/curation-activities/gene-disease-validity/documents/, based on the framework previously outlined by the ClinGen Gene Curation Working group4. We followed the ClinGen gene-disease validity SOP version 7 (V7) for nuclear gene curations as this was the current version at the start of this effort. Each criterion for nuclear gene curation was first reviewed for its relevance to mitochondrial disease and further guidance was provided, when necessary, to ensure clinical relevance to LSS and a consistent approach to gene-disease classifications. However, it became apparent that SOP V7, which was based on Mendelian inheritance patterns, was not optimized for mtDNA gene curation, as compared to Version 8 of the ClinGen SOP (V8) in which scoring was based on variant characteristics rather than inheritance pattern and which was released just prior to the GCEP beginning curation of mtDNA genes. Therefore, the Mito GCEP added scoring recommendations to SOP V8 for mtDNA gene curation. Updated ClinGen Gene Curation SOPs for nuclear and mtDNA gene curation for LSS are available online (https://clinicalgenome.org/working-groups/gene-curation/). For curation in both genomes, when additional scoring recommendations were proposed by the Mito GCEP leadership and biocurators, expert panel consensus approval was obtained. Some scoring recommendations were specific to mitochondrial biology and/or mitochondrial disease, such as the approach to inclusion of assays of mitochondrial function, while other scoring recommendations could be applied more generally, such as scoring guidance for founder variants.

Gene curation process.

Curations were performed in the ClinGen Gene Curation Interface (GCI). Biocurators met with GCEP leadership twice monthly, including a neuroradiologist and/or neuropathologist when appropriate, to review curations and ensure consistency with the phenotype as well as completeness of literature reviews (Fig 1). Unique clinical features, including characteristic magnetic resonance imaging (MRI) features and points of debate were recorded by the coordinator for discussion during large expert panel review group calls. Curations were presented to the expert panel at monthly Mito GCEP meetings that were scheduled at staggered times to accommodate experts across time zones. Meetings were moderated by the Mito GCEP coordinator and GCEP leadership. Open communication and robust discussion were encouraged, followed by expert panel voting on the final GDR clinical validity classification with a minimum of three experts from three different institutions voting. Any notable conversation points were documented in published evidence summaries in the GCI. GDRs with only one reported case were classified as limited as per the Gene Curation Validity framework, regardless of score. If a GDR had an intermediate score (6.1–6.9, between limited and moderate; 11.1–11.9, between moderate and strong/definitive), the expert panel would weigh evidence and vote upon the final classification. Recordings of Mito GCEP meetings were distributed to expert panel members unavailable at the scheduled meeting time. Following GDR classification approval by the Mito GCEP, the coordinator reviewed the curation in the GCI to ensure completeness and consistency with expert panel meeting discussion and outcome. Standardized evidence summaries were drafted by the coordinator for consistency and reviewed by the Mito GCEP leadership prior to publication in the ClinGen website (https://search.clinicalgenome.org/kb/gene-validity). As curations are updated periodically according to the ClinGen Gene Recuration Procedure (https://clinicalgenome.org/site/assets/files/2164/clingen_standard_gene-disease_validity_recuration_procedures_v1.pdf), the most current information is available at clinicalgenome.org.

FIGURE 1.

FIGURE 1.

Mitochondrial Disease Gene Curation Expert Panel (Mito GCEP) curation process overview.

RESULTS

Gene and phenotype prioritization.

The Mito GCEP initially aimed to curate 90 published genes for association with LSS across both the nuclear and mitochondrial genomes. Twenty-four gene curations were added during the project period, leading to a final count of 114 gene-disease curations completed (Table 1). Thirty-one 90-minute Mito GCEP meetings held approximately once-monthly were completed between November 2018 and May 2021. An average of 11 experts (range 6 to 20) attended each expert panel meeting, with an average of four genes reviewed per meeting. In total, 113 unique genes were reviewed, as DNM1L was curated for both autosomal recessive and autosomal dominant inheritance in association with LSS. Two genes, NUP62 and MT-TL2, were found by expert panel review to have no relationship with LSS, which is considered “disputed” under the gene curation framework.

Table 1.

Genes found to have an association with LSS. MT-TL2 and NUP62 were curated by the Mito GCEP and there was not convincing evidence supporting a causal role for these genes in LSS.

Disease mechanism Biochemical defect Gene defect(s) Inheritance mode
OXPHOS subunit deficiency Complex I MT-ND1, MT-ND2, MT-ND3, MT-ND4, MT-ND5, MT-ND6 Maternal/sporadic
NDUFA1 X-linked
NDUFA2, NDUFA9, NDUFA10, NDUFA12, NDUFA13, NDUFB8, NDUFC2, NDUFS1, NDUFS2, NDUFS3, NDUFS4, NDUFS7, NDUFS8, NDUFV1, NDUFV2 AR
Complex II SDHA AR
Complex III UQCRQ AR
Complex IV MT-CO1, MT-CO2, MT-CO3 Maternal/sporadic
COX4I1, COX8A, NDUFA4 AR
Complex V MT-ATP6 Maternal/sporadic
ATP5MD AR
Assembly factor deficiency Complex I NDUFAF2, NDUFAF4, NDUFAF5, NDUFAF6, NDUFAF8, FOXRED1, NUBPL, TIMMDC1 AR
Complex II SDHAF1 AR
Complex III BCS1L, TTC19 AR
Complex IV COX10, COX15, LRPPRC, PET100, PET117, SCO2, SURF1, TACO1 AR
Disorders of pyruvate metabolism Pyruvate dehydrogenase complex PDHA1 X-linked
DLAT, DLD, PDHB, PDHX AR
Disorders of vitamin transport and metabolism Biotin BTD AR
Thiamine SLC19A3, SLC25A19, TPK1 AR
Disorders of cofactor biosynthesis Coenzyme Q10 COQ9, PDSS2 AR
Lipoic acid LIAS, LIPT1, MECR AR
Disorders of mtDNA maintenance MtDNA depletion and/or multiple mtDNA deletions SUCLA2, SUCLG1, POLG, RNASEH1 AR
SLC25A4, SSBP1 De novo
Disorders of mitochondrial gene expression Impaired mitochondrial protein synthesis MT-TI, MT-TK, MT-TL1, MT-TV, MT-TW Maternal/sporadic
C12ORF65, EARS2, FARS2, GFM1, GFM2, GTPBP3, IARS2, MRPS34, MTFMT, NARS2, PNPT1, PTCD3, TARS2, TRMU, TSFM AR
Disorders of mitochondrial protein quality control Proteostasis CLPB, LONP1 AR
Disorder of mitochondrial membranes Lipid remodelling SERAC1 AR
Disorders of mitochondrial dynamics Fission MFF, SLC25A46, DNM1L AR
Fission DNM1L AD
Fusion OPA1 AR
Disorders of mitochondrial toxicity Sulphide metabolism ETHE1, SQOR AR
Valine degradation ECHS1, HIBCH AR
Detoxification NAXE AR
Disorders of autophagy and apoptosis Mitochondrial stability, fission, clearance by mitophagy VPS13D AR
Other AIFM1 X-linked
Mechanism unclear Not fully understood HPDL, FBXL4 AR
Non mitochondrial proteins Other ADAR, MORC2, RANBP2, SLC39A8 AR

Disease entity definition and Gene Curation SOP delineation.

The LSS definition, which was developed to incorporate published reports of both LS and LLS, includes consideration of neuropathologic evidence and, in the absence of neuropathologic evidence, a combination of brain imaging, neurologic, and biochemical findings (Table 2). The definition of neuropathologic evidence did not change over the course of the project period1, 2. Considerations for brain imaging, neurologic manifestations, and biochemical findings were reviewed extensively and updated to reflect the various molecular etiologies and associated disease mechanisms. Brain imaging findings consistent with LSS are bilateral, typically symmetric T2-weighted hyperintensities on MRI or hypodensities on CT scan in the brainstem and/or basal ganglia, with or without bilateral, T2-hyperintensity on MRI or hypodensity of CT scan in the thalamus, cerebellum, subcortical white matter, and/or spinal cord. Neurologic symptoms seen in LSS include developmental regression, developmental delay, and/or psychiatric symptoms. Brain imaging and neurologic symptoms are further supported by biochemical findings such as elevated lactate in plasma and/or cerebrospinal fluid (CSF), brain magnetic resonance spectroscopy (MRS) lactate peak (in absence of acute seizures), oxidative phosphorylation (OXPHOS) enzyme activity deficiency (<30%) in affected tissue (muscle, liver, fibroblasts), pyruvate dehydrogenase complex (PDC) deficiency (in fibroblasts, >2 SD below mean), a mitochondrial fission/fusion defect, elevated glycine levels (if gene is associated with a lipoic acid disorder), and/or diminished respiratory activity measured by microscale oxygraphy (e.g. Oroboros or Seahorse assays), to reach a definition of LSS.

Table 2.

Leigh syndrome spectrum (LSS) definition used to guide case-level evidence scoring for gene curations. As a classical neuropathological diagnosis, neuropathological findings consistent with LSS alone meet criteria to establish the diagnosis. Consideration of combined criteria is recommended for living individuals.

Stand-alone evidence OR Combined evidence
Confirmed neuropathological diagnosis of Leigh syndrome Neuroimaging Bilateral, typically symmetric, T2-weighted hyperintensities on MRI or hypodensities on CT scan in:
 • Brainstem, and/or
 • Basal ganglia
With or without bilateral, T2-hyperintensity on MRI or hypodensity on CT scan in:
 • Thalamus
 • Cerebellum
 • Subcortical white matter
 • Spinal cord
AND at least ONE of the following
Neurologic symptoms  • Developmental regression
 • Developmental delay
 • Psychiatric symptoms
Further supported by at least ONE of the following
Biochemical and/or mitochondrial abnormality  • Elevated lactate in plasma and/or CSF
 • MRS lactate peak (in absence of acute seizures)
 • OXPHOS enzyme activity deficiency (<30%) in affected tissue (muscle, liver, fibroblasts)
 • PDC deficiency (in fibroblasts, >2 SD below mean)
 • Mitochondrial fission/fusion defect
 • Elevated glycine levels (if gene is associated with a lipoic acid disorder)
 • Diminished respiratory activity measured by microscale oxygraphy (e.g. Oroboros or Seahorse assays)

Brain imaging at first included only abnormalities seen on brain MRI but was expanded to include computerized tomography (CT) scans, as some historical cases in the literature only report CT findings. Both brain MRI and CT scans reliably detect abnormalities in the brain seen in those with LS and LLS. Cranial ultrasound imaging was discussed by the Mito GCEP, but ultimately it was decided not to consider ultrasound data for cases being reviewed for genetic level evidence because interpretation is subjective, operator dependent, and pinpointing relevant structures on a static ultrasound image is challenging. The areas of the brain typically affected in LS and LLS were also extensively discussed. While areas such as the brainstem, basal ganglia, thalamus, cerebellum, and spinal cord can be affected in those with LS and LLS, isolated lesions in the thalamus, cerebellum, and spinal cord would not be consistent with these conditions. Therefore, this section of the LSS definition was refined to include, at minimum, lesions in the brainstem and/or basal ganglia, with or without additional changes in the thalamus, cerebellum, subcortical white matter, and/or spinal cord.

Neurologic features of LS and LLS were also considered. While the classic definition of LS included neurodevelopmental regression, it is now well known that not all children with LS and LLS have normal early development followed by a regression, rather some can have developmental delay with no period of typical development10. Furthermore, LS and LLS can present in adulthood with neuropsychiatric manifestations11, which were therefore added to the definition.

Lastly, the biochemical evidence classically associated with LS and LLS was reviewed. Elevated lactate, either in plasma/blood, CSF, or as a lactate peak on brain MRS, was classically considered as part of the LS definition. However, it is well known that lactate can be normal in blood and CSF, even in those with a confirmed molecular etiology of LS, LLS, or other PMD. Therefore, this criterion was expanded to capture diverse biochemical consequences of mitochondrial dysfunction known to underlie LS and LLS. Decreased OXPHOS enzyme activities can be considered as part of the LSS phenotype when assessed in muscle, liver, or fibroblast cell lines with activity below 30% of control mean values12. Decreased PDC enzyme activity measured in fibroblasts can also be considered when activity is more than 2 standard deviations below the mean. Morphologic abnormalities related to defective mitochondrial fission or fusion can also be considered functional evidence of LSS. Several genes associated with lipoic acid disorders were associated with features of LSS but lacked the biochemical evidence outlined above; in these cases, elevated glycine together with biallelic pathogenic variants in a gene needed for lipoic acid biosynthesis was also considered to represent mitochondrial dysfunction. Lastly, diminished mitochondrial respiratory capacity as measured in cells or tissues by polarography or microscale oxygraphy was also included. As such, LSS is now defined as the collection of individually rare genetic diseases characterized by either typical neuropathologic findings of Leigh syndrome or, in the absence of neuropathology, the combination of characteristic neuroimaging findings and neurodevelopmental delay, regression, or psychiatric symptoms; further supported by evidence of mitochondrial dysfunction.

Scoring recommendations were made to the Gene Curation SOP to be relevant for LSS curation for both nuclear and mitochondrial genes, including genetic and experimental evidence categories.

Genetic level evidence scoring recommendations.

Further guidance for applying genetic, or case-level, scoring was provided, as related to LSS, and initially outlined in Gene Curation SOP V7 for nuclear genes and SOP V8 for mitochondrial genes (Fig 2). The unique features of the mitochondrial genome were carefully considered, as SOP V8 does not provide guidance for mtDNA variant consideration. Segregation evidence, as stand-alone evidence, was removed for mitochondrial gene curation, as logarithm of the odds (LOD) scores cannot be calculated for the mitochondrial genome.

FIGURE 2.

FIGURE 2.

(A). Nuclear (nDNA) and mitochondrial (mtDNA) Gene Genetic Evidence Summary Matrix for LSS curation. This has been amended from Figure 3 in Gene Curation SOP V7 (for nDNA) and SOP V8 (for mtDNA). If score is 0.75, round up to 1. If score is 1.25, round up to 1.5. For mtDNA genes, to score any case, no contradictory evidence can exist such as high allele frequency, homoplasmic occurrences in mitochondrial disease specific databases, or lack of segregation. Mitochondrial guidance is relevant for any variant type. (B). Experimental Evidence Summary Matrix for LSS curation. Function, Functional alteration, and Models – Non-human model organism. No further scoring guidance for rescue experiments was provided as there had been no report of rescue in a human with LSS and other forms of rescue in models were limited. This has been amended from Figure 9 in Gene Curation SOP V7.

Experimental evidence scoring recommendations.

Experimental evidence scoring was carefully considered for how mitochondrial dysfunction could be considered under each category.

Evidence Category: Function (Fig 2).

For biochemical function, evidence that gene products share a biochemical relationship or function with another gene associated with LSS was specified to group genes encoding the following categories: 1) OXPHOS subunits and assembly factors, 2) cofactor biosynthesis, 3) mtDNA maintenance, 4) mitochondrial translation, 5) mitochondrial dynamics, and 6) mitochondrial import13. Protein interaction evidence, or consideration of evidence of gene products that interact with other genes associated with LSS, was specified to include genes that encode OXPHOS complex subunits and subunits of other enzymes (e.g. PDC). Gene expression evidence was also considered, with emphasis on brain expression and/or disrupted expression. A baseline score was given for genes demonstrating protein expression in the brain, even if the expression pattern was largely ubiquitous across tissues, and additional points were awarded for evidence demonstrating expression in specific areas of the brain known to be impacted in LSS, such as the brainstem, basal ganglia, thalamus, cerebellum, and spinal cord.

Evidence Category: Functional Alteration (Fig 2).

Functional alteration scoring guidance was provided for patient and non-patient cell lines that demonstrated various forms of mitochondrial dysfunction, as would be expected to occur in LSS. A phenotype observed in cells that was consistent with the human phenotype in question, in cells where the gene function has been disrupted, was considered as evidence for gene-phenotype association. Careful consideration was given to features in cell lines that could be consistent with LSS. Here, the mechanisms by which mitochondrial dysfunction can be characterized in cells was specified and included studies showing decreased OXPHOS capacity or enzyme activity, mtDNA depletion, and mitochondrial membrane dysfunction. Increased scoring was suggested for evidence of more than one cell line showing alterations, studies performed in a neuronal cell line, or for cells isolated from patients with a confirmed diagnosis of LSS.

Evidence Category: Model (Fig 2).

Non-human models were carefully considered for the presence of features that correlate with phenotypes seen in humans with LSS based on the refined LSS definition. Neuropathologic and radiologic recapitulations were weighted higher as compared to more generalized neurologic and neurodevelopmental phenotypes and also as compared to evidence of biochemical and mitochondrial dysfunction. For models that were embryonic lethal, a minimum 0.5 points was scored given that LSS is a severe phenotype associated with high levels of early mortality. Cell culture models were not considered as it is difficult to model neuropathology, radiologic findings, or neurologic alterations in vitro. Biochemical and mitochondrial dysfunction evidence in cell culture models was considered under the functional alteration category (see above).

Evidence Category: Rescue.

No further scoring guidance for rescue experiments was provided from the existing Gene Curation SOP, as there had been no report of rescue in a human with LSS and other forms of rescue in models were limited. Complementation assays demonstrating biochemical and/or mitochondrial dysfunction rescue were either awarded baseline points under this category or used to support case-level evidence (e.g., yeast complementation assays to support variant pathogenicity).

LSS gene curation results.

A total of 114 GDRs were carefully reviewed, curated, debated, and a clinical validity classification ultimately agreed by consensus voting of expert panel members of the Mito GCEP (Fig 3, Fig 4A). Thirty-one of the 114 gene-disease relationships curated were classified as having a definitive GDR with LSS (27%, including 24 nuclear genes and 7 mtDNA genes); none were classified as strong; 38 were classified as moderate (33%, including 37 nuclear genes and 1 mtDNA gene); 43 were classified as limited (38%, including 36 nuclear genes and 7 mtDNA genes; 30 of these had only one published case meeting LSS criteria); and 2 were classified as disputed (2% including one nuclear gene, NUP62, and one mtDNA gene, MT-TL2). Although BCS1L (6.5 total score), COQ9 (8 total score), MT-CO3 (7 total score), MT-ND2 (6.5 total score), SLC2546 (7 total score), and TIMMDC1 (7 total score) score above 6 points and thus could be considered for a Moderate classification, only one case with LSS was reported for each of these genes, thus leaving these at a Limited classification. Six genes had final GDR scores between 6.1 and 6.9, leaving the final classification to be decided by the expert panel. Two genes (BCS1L and MT-ND2) scored 6.5 but only had one case with LSS reported, therefore these were classified as limited. The expert panel decided to classify the other four GDRs (NDUFA9, NDUFB3, NDUFC2, AIFM1) as moderate given the abundance of evidence reported. Two genes (NDUFS2 and NDUFA1) scored between 11.1 and 11.9, leaving the final classification of moderate or definitive (as strong would not apply as more than three years had passed since the initial report) to be decided upon by the expert panel. NDUFS2 was deemed to have a Definitive GDR for LSS and NDUFA1 Moderate. DLD scored at the upper range of Moderate (11) but was classified as Definitive as the experts knew of numerous other cases not reported in the medical literature that would have otherwise increased the scoring to Definitive. Most genes curated are associated with autosomal recessive inheritance (90), followed by maternal (16), autosomal dominant (5), and X-linked (3; Fig 4B). Average genetic and experimental level evidence scores for each strength classification are listed in Fig 4C. Gene defects were reported to be associated with LSS beginning in 1992 (Fig 4D). Twenty-four gene defects were associated with LSS for the first time during this project period (2017 onwards). Trends among genes sharing a common biochemical function were assessed (Fig 4F).

FIGURE 3.

FIGURE 3.

Scores for each curated GDR with LSS by Mito GCEP. The default scoring range for a definitive classification is 12–18, moderate is 7–11, and limited is 0.1–6.

FIGURE 4.

FIGURE 4.

LSS Classification Overview by Associated Genome, Association Strength, Score, Time Since Discovery, Gene Class, and Experimental Models. (A) Classifications of nuclear genes (N=98) and mitochondrial DNA genes (N=16) curated for association with LSS. (B) Number of genes reaching definitive, moderate, limited, and disputed classifications for LSS by inheritance pattern. (C) Average scores for each clinical validity classification for LSS. The default scoring range for a definitive classification is 12–18, moderate is 7–11, and limited is 0.1–6. (D) Number of genes first reported to be associated with LSS by year. Genes with a “disputed” classification are excluded. DNM1L is included twice (once for first association with autosomal dominant disease and once for first association with autosomal recessive disease). *The first gene-disease association was reported in 1992. (E) Numbers of experimental models curated. (F) Average curation scores for genes associated with LSS by gene class.

Evidence category: Model.

Sixty-three of 114 gene curations had at least one experimental model scored (Fig 4E, Supp Table 1). Models considered for scoring included bacteria, yeast, fungus, cellular slime mold, nematode, drosophila, zebrafish, mouse, hamster, dog, pig, and cow. Three genes had three experimental models scored: AIFM1 (mouse, nematode, drosophila), SLC25A46 (zebrafish, mouse, cow), and SURF1 (drosophila, mouse, pig). Experimental models were scored for 47 genes for mouse, 13 for drosophila, 6 for zebrafish, 5 for yeast, 3 for nematode, and one each for cellular slime mold, fungus, hamster, dog, cow, and pig.

DISCUSSION

We report here the work of the ClinGen Mito GCEP, a global collaboration of PMD experts assembled to review systematically and agree on the consensus expert panel definition of, and strength of association for, 113 genes with LSS.

The first step was to gain expert consensus on the LS phenotype, which was expanded to encompass LLS in an overarching entity now referred to as LSS. The gene curation process aimed not to revisit and amend diagnoses of historic cases, but rather to streamline how this disease entity is considered moving forward based on current genomic, clinical, and biochemical understanding. It is hoped this revised definition will facilitate inclusive clinical trials aimed at treating LSS by providing a curated minimum gene set of 111 genes now associated with LSS. Importantly, we recognize that a distinction exists between reviewing and comparing reported cases in the published literature to set criteria as was completed here for LSS by the Mito GCEP, as compared to the prospective clinical challenge of diagnosing individual cases with features concerning for LSS as new variants and genes are discovered. Refining the classical definitions reflects the expanding landscape of PMD and LSS pathogenic mechanisms, since it is now known that PMD and LSS may be caused by a wide variety of insults to mitochondrial function. Additionally, this updated definition now captures the increasingly recognized heterogenous nature of LSS, including the neurologic presentation and asymmetric brain imaging changes in some cases14.

Scoring recommendations were made to the gene curation SOP to account for LSS clinical presentations, hallmark findings of mitochondrial dysfunction, and the unique features of the mitochondrial genome. While this guidance was developed for LSS, it can be applicable for other mitochondrial and possibly other metabolic conditions. The mtDNA genes required additional guidance that was based largely on the published mtDNA variant ACMG/AMP specifications15. Guidance was also provided for review of experimental evidence relevant for curation of gene relationships with LSS. We based experimental model curation guidance on the Ndufs4−/− mouse, a model that the Mito GCEP considered a gold-standard knockout mouse model of PMD recapitulating major findings of LSS16,17.

For the neuroradiologic aspects of the LSS definition, the Mito GCEP concluded after extensive debate that isolated thalamic lesions could not be considered diagnostic of LSS since they might simply reflect hypoxemic ischemic encephalopathy. Two neuroradiologic terms with overlap with LSS are striatal necrosis and necrotizing encephalopathy. Some cases under consideration had classic features of these entities, which would be consistent with LSS, but had no biochemical testing to fulfil the other necessary criteria of the LSS definition. For example, NUP62 defects are associated with infantile bilateral striatal necrosis; pathogenic variants were reported in a large kindred with brain imaging resembling LSS but no biochemical evidence was documented18. Indeed, NUP62 encodes a nucleoporin, component of the nuclear pore complex. However, we cannot exclude that a GDR with LSS could have been established had biochemical testing been performed. RANBP2 defects cause acute necrotizing encephalopathy19. Some cases in the literature had MRI findings consistent with LSS but missing mitochondrial assessments or biochemical tests in many cases meant they failed to meet Mito GCEP criteria for association with LSS, likely contributing to the Limited classification for this GDR.

Pathogenic variants in several genes associated with LSS were also associated with clinical syndromes other than LSS; these phenotypes were not curated as part of this initiative. They may be curated by other ClinGen Gene Curation Expert Panels in the future. When genes were associated with clinically heterogeneous mitochondrial disease, the relationship specifically with LSS tended to be classified as moderate. Several of these genes were involved in mitochondrial translation, including TRMU, where at least seven reported cases with lactic acidosis and liver disease could not be scored for LSS as they lacked characteristic brain lesions, and PNPT1, where 12 reported cases not meeting LSS criteria had other phenotypes including isolated hearing loss or choroidoretinal disease.

During this curation, several barriers were faced, as summarized in Table 3. The biggest barrier was that many genetic causes of LSS are rare and/or recently discovered, and for several genes, there was a paucity of published cases available for expert panel curation. Other challenges included cases that met the criteria for LSS but were not described as LSS in the publication, which complicated literature review, curation, and discussion of these cases; cases dying of co-morbidities before developing clinical features of LSS; increased utilization of newborn screening (NBS) led to cases being detected early and treated before developing LSS; inability to score some cases due to only minimal details being provided in the literature of the results of clinical and biochemical assessments (this was especially true for publications reporting large cohorts of patients who had received a genetic diagnosis of PMD through exome sequencing); and finding high allele frequencies in control databases such as gnomAD20, raising questions regarding whether these variants were truly pathogenic, hypomorphic, or even benign. Lastly, while LS was historically a neuropathologic diagnosis, only 54 cases reviewed for ClinGen curation across all 113 genes had neuropathology findings reported. Collectively, Mito GCEP review identified 24 cases with neuropathologic confirmation of LS that were associated with 19 different genes defects. Other cases had neuropathological findings reported but not in enough detail to be diagnostic of LSS, while a third group had neuropathologic findings described that were not consistent with LSS (Table 4). Furthermore, some recurrent variants were observed in specific ethnic groups (Supp Table 2).

TABLE 3.

Challenges and limitations to genetic-level data curation.

Challenge/limitation Explanation Example Reference(s)
Paucity of published cases Many genetic causes of LSS are rare and/or recently discovered  30/43 genes reaching limited classification only had one case reported -
 Mito GCEP members knew of additional cases not reported in the medical literature -
Exclusion of potentially scorable cases Phenotype modified by comorbidities or treatments Cases died of co-morbidities before developing LSS
 • GFM1, fatal infantile hepatopathy
 • NDUFAF5, early lethality before MRI could be performed.
Coenen et al., 2004
Smits et al., 2011
Sugiana et al., 2008
Increased utilization of newborn screening (NBS) led to treatment before developing LSS
 • BTD associated with Biotinidase deficiency, treated from birth following NBS in many countries, affected individuals do not develop LSS
 • Historical cases diagnosed biochemically did not routinely undergo genetic testing to confirm the genetic etiology
 • E.g. Biotinidase deficiency
Mitchell et al., 1986
Baumgartner et al., 1989
Cases reported in cohorts with minimal phenotypic details provided Missing phenotypic information
 • TSFM, no brain imaging data for six cases
 • TPK1, four cases had clinical features and imaging changes suggestive of LSS could not be scored as no lactate levels or other biochemical parameters were reported
 • RANBP2, no lactate or OXPHOS measurements in many cases
 • Limited knowledge at time of report
 • HPDL, not yet associated with mitochondrial dysfunction at time of initial reports, therefore screening investigations typically performed in individuals with suspected mitochondrial disease were not performed
Smeitink et al., 2006
Banka et al., 2014
Mahajan et al., 2017
Ortigoza-Escobar et al., 2017
Hu et al., 2020
Chow et al., 2020
Legati et al., 2016
Kelly et al., 2019
Husain et al., 2020
High allele frequencies in healthy population databases Uncertainty regarding pathogenic nature of variants and/or phasing Hypomorphic alleles
NDUFS2, c.875T>C (p.Met292Thr) is a founder variant had a high allele frequency (gnomAD, 28/6136, 0.004563) and several homozygous occurrences in gnomAD (v2.1.2)
• Functional validation demonstrated a deleterious effect of this variant
• Mito GCEP agreed that this likely was a hypomorphic allele as well as a founder variant, could be scored as disease-causing in the compound heterozygous state
Karczewski et al., 2020
Tuppen et al., 2010
Variant phasing Lack of parental testing Lack of parental testing limiting case scoring since SOP states that variants need to be confirmed in trans -

TABLE 4.

Neuropathology reported for LSS curated genes.

Gene Leigh Possible Leigh Not Leigh* Comments Reference
AIFM1 Occipital lesion, hepatopathy, Alpers Morton et al., 2017
ATP5MD ✓ (2) Barca et al., 2018
CLPB “Non specific lesions” Capo-Chichi et al., 2015
COQ9 ✓ (2) Global ischaemia in one case, calcification in GP and olivary dysplasia in other Smith et al., 2018
DNM1L Zaha et al., 2016
ECHS1 Poorly preserved brain on macroscopy with BG cavitation, microscopy statement Haack et al., 2015
FARS2 Alpers neuropathology Elo et al., 2012
FARS2 Alpers neuropathology Walker et al., 2016
GFM1 WM lesion, BG, hypoplastic CC, hepatopathy Coenen et al., 2004
GFM1 Bilateral porencephaly, microcephaly, dysgenesis of cingulate gyri.
Hepatopathy
Antonicka et al., 2006
GFM1 polymicrogyria and hepatopathy Ravn et al., 2015
LRPPRC ✓ (7) Statement only: “lesions typical of Leighs” Morin et al., 1993
MRPS34 Lake et al., 2017
MT-ATP6 Tatuch et al., 1992
MT-ND3 McFarland et al., 2004
MT-ND4 Hadzsiev et al., 2010
MT-ND5 Taylor et al., 2002, Morris et al., 1996
MT-ND5 ✓ (2) Leigh plus MELAS Ng et al., 2018
MT-ND6 Statement only Ugalde et al., 2003
MT-ND6 ✓ (2) Statement only Naess et al., 2009
MT-TI ✓ (2) Limongelli et al., 2004
MT-TK Statement only Silvestri et al., 1993
MT-TK Sweeney et al., 1994
MT-TK Statement only Santorelli et al., 1998
MT-TK Pronicki et al., 2007
MT-TL1 Koga et al., 2000
MT-TW Statement only Santorelli et al., 1997
NARS2 Leigh plus MELAS Simon et al., 2015
NAXE ✓ (3) Kremer et al., 2016
NDUFA10 Limited description, no pictures Hoefs et al., 2011
NDUFAF2 Resembles vanishing white matter disease Ogilvie et al., 2005
NDUFAF2 Herzer et al., 2010
NDUFAF2 Statement only Calvo et al., 2010
NDUFS8 Loeffen et al., 1998
NDUFV1 Minimal description Benit et al., 2001
PDHB Quintana et al., 2009
PDHB Developmental abnormalities, PMG, pachygyria, dentato-olivary dysplasia Pirot et al., 2016
PNPT ✓ (2) Matilainen et al., 2017
SCO2 ✓ (2) Papadopoulou et al., 1999
SDHAF1 Brockmann et al., 2002
TRMU Brief description, hepatopathy Sala-Coromina et al., 2021

Numbers in brackets refer to number of cases with neuropathology

*

Case not scored because of incomplete description or other neuropathology, e.g. Alpers

BG basal ganglia; CC corpus callosum; GP globus pallidus; MELAS mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes; PMG polymicrogyria; WM white matter

Experimental models were scored as experimental evidence for 64 genes associated with LSS. Model organisms ranged from bacteria to canine, porcine and bovine models. Most were genetically engineered but some were naturally occurring, such as SLC19A3 variants identified in Alaskan Husky Encephalopathy with neuropathologic changes that were consistent with LSS21, and SLC25A46 variants in French Rouge-des-PreÂs cattle that caused poor balance and neuropathologic changes reminiscent of LSS (Turning calves syndrome)22. The gold-standard experimental animal used to guide scoring was the Ndufs4 knockout mouse model, which has brain MRI lesions consistent with human LSS23. Twelve knockout mouse models were reported to be embryonic lethal and were more prevalent in the genes scored as moderate or limited. As embryonic lethality remains a significant hurdle in the creation of whole-body knockout mice, the complementary approach of tissue-specific knockout mice, like neuronal specific knockouts, may be considered as a more feasible option for creating future LSS models. For example, the MECR Purkinje cell knockout mouse presented with a biochemical, neurodevelopmental, and neuropathologic phenotype24. Consideration of experimental models as they relate to LSS is especially important since efficacy of novel therapies can be tested in these models as they arise.

This global PMD expert consensus work holds important implications for clinicians, diagnostic laboratories, and patients. Determining the pathogenicity of a variant requires establishing the strength of the relationship between the gene and the disease25. Evaluating the clinical validity for the GDR through gene curation is considered an essential first step for variant classification and clinical reporting26. One of the biggest areas of impact of gene curation in rare disease is in the confident reporting of variants of uncertain significance (VUS) in genes of uncertain significance (GUS), such as in those having a GDR classified as limited. Careful consideration of GDR is also valuable in triaging variants to help with the identification of candidate variants, especially in exome and genome screening, thereby preventing variants with the potential of being research candidates from being excluded or overlooked, as well as preventing harm that may relate to returning variants to families in genes with no established relationship to disease. As clinical diagnostic laboratories utilize ClinGen Gene Curation Expert Panel work to inform panel development, establishing accurate GDRs can facilitate reliable interpretation of relevance for variants identified on genomic sequencing tests. Indeed, although mitochondrial disease genetic etiologies are phenotypically heterogenous, we have shown here a relationship between 111 single genes and LSS with varying levels of evidence, and disputed two genes for having a GDR with LSS. Important to note, a limited classification for a specific gene with a given disease does not mean there is no disease association. In the case of LSS, this was frequently due to a lack of reported cases, reflecting rare or newly identified etiologies. New evidence is likely to emerge over time, and recuration standards have been proposed. These include how much time should pass before a GDR is revisited and depends on whether the classification is Limited (three years from GCEP classification approval date), Moderate (two years from GCEP classification approval date), Strong (three years from discovery date), or Definitive (no set requirement) (https://clinicalgenome.org/site/assets/files/2164/clingen_standard_gene-disease_validity_recuration_procedures_v1.pdf). Furthermore, there will continue to be discovery of novel genes associated with LSS. The GDRs for these genes with LSS could be evaluated, however the scope of this project can also be expanded to a broader PMD phenotype, capturing the full spectrum of features associated with a gene but also highlighting LSS as an associated phenotype.

Some LSS genes curated as part of this work cause treatable conditions when pathogenic variants are present, for example biotin and/or thiamine for LSS associated with pathogenic variants in BTD, SLC19A3 and TPK1, coenzyme Q10 supplementation for disorders affecting its biosynthesis and ketogenic diet for gene defects causing PDC deficiency27. Expediting clinical diagnosis for individual cases is critical for natural history study and clinical drug trial eligibility and enrollment, particularly since emerging clinical drug trials for LSS consider genetic diagnosis in inclusion and exclusion criteria.

In conclusion, it is our hope that the extensive ClinGen curations for LSS reported here by the Mito GCEP will facilitate improved diagnostic accuracy and future therapeutic development for the heterogeneous group of LSS disorders.

Supplementary Material

Supinfo3

Supplemental TABLE 2. Recurrent and founder variants seen in LSS.

Supinfo1

Supplemental Figure 1. Mito GCEP expert panel member geographic location.

Supinfo2

Supplemental TABLE 1. Experimental models scored. * indicates embryonic lethal

What is the current knowledge on the topic? (one to two sentences):

Primary mitochondrial disease (PMD) encompasses a broad group of disorders caused by a deficiency in energy metabolism, including Leigh syndrome (LS), which is the most common manifestation of PMD in children that may also present in adults. This clinical entity is classically defined as a typically progressive neurodegenerative disorder characterized by neuropathologic findings of bilateral necrotic brainstem and basal ganglia lesions. Leigh syndrome is most commonly caused by pathogenic variants in either mitochondrial and/or nuclear genes encoding mitochondrial proteins but has also been associated with other potentially treatable genetic etiologies, necessitating careful expert panel review to assure accurate gene-disease relationship.

What question did this study address? (one to two sentences):

We identified inconsistencies in how PMD experts define LS. As a clearly defined phenotype is essential to the ClinGen gene curation framework, the ClinGen Mitochondrial Disease Gene Curation Expert Panel proposed a draft consensus on the definition of this phenotype that was further refined after incorporating feedback from the global experts. This broad phenotypic definition is now referred to as Leigh syndrome spectrum (LSS). We systematically reviewed the current ClinGen Gene Clinical Validity Curation Framework and established criteria that must be met to confirm a LSS phenotype in the case level line of genetic evidence, identified commonly utilized experimental methods that, for some assays, are unique to PMD and LSS research, established scoring guidance for each assay or model based on the consensus LSS definition, and sought to evaluate the relationship between genes in both nuclear and mitochondrial genomes with LSS.

What does this study add to our knowledge? (one to two sentences):

We identified areas within the current ClinGen Gene-Disease Clinical Validity Curation Framework that could be interpreted and scored differently in the context of LSS and PMD, assessed where commonly used PMD terms and assays might be applied, and established a scoring rubric for LSS.

How might this potentially impact on the practice of neurology? (one to two sentences):

LSS is a progressive neurodegenerative disorder presenting in children and adults. Confirming the strength of a gene’s relationship with LSS based on published literature is critical for accurate gene-disease association and variant pathogenicity interpretation. In turn, this allows for accurate genetic diagnosis leading to actionable outcomes including personalized medication management, multi-system organ screening, appropriate recurrence risk counselling and guidance on disease prevention strategies, and clinical trial inclusion.

ACKNOWLEDGEMENTS

We thank the ClinGen Gene Curation Working Group and Clinical Domain Working Group Oversight Committee for their detailed review, suggestions, and approval of this Mito GCEP. We are grateful to the United Mitochondrial Disease Foundation (UMDF) for their organizational and administrative support, their partnership in MSeqDR Consortium activities, and funding of MSeqDR. This work was supported by NIH grant U24-HD093483 (to MJF and XG), as well as Great Ormond Street Hospital Children’s Charity, the Lily Foundation and the National Institute of Health Research (NIHR) Great Ormond Street Hospital Biomedical Research Centre (to SR). The views expressed are those of the authors and not necessarily those of the funding agencies including NIH, NHS, or NIHR. The research conducted at the Murdoch Children’s Research Institute was supported by the Victorian government’s operational infrastructure support program. The Chair in Genomic Medicine awarded to JC is generously supported by The Royal Children’s Hospital Foundation. We are grateful to the Crane, Perkins and Miller families for their generous financial support.

Footnotes

&

Mitochondrial Disease Gene Curation Expert Panel:

César Augusto Pinheiro Ferreira Alves, MD10, Anna Ardissone, MD, PhD11, Renkui Bai, PhD12, Isabella Peixoto de Barcelos, MD1, Enrico Bertini, MD13, Krista Bluske PhD3, John Christodoulou, MBBS, PhD14,15,16, Amanda R. Clause, PhD3, William C. Copeland, PhD17, George A. Diaz, MD, PhD18, Daria Diodato, MD19, Matthew C. Dulik, PhD7,20, Greg Enns, MD21, Annette Feigenbaum, MD22,23, Carl Fratter, FRCPath24, Daniele Ghezzi, PhD25,26, Amy Goldstein, MD1,7, Andrea Gropman, MD27, Richard Haas, MB, BChir, MRCP28,29,30, Amel Karaa, MD31,32, Mary Kay Koenig, MD33,34, Berrin Monteleone, MD35, Sumit Parikh, MD36, Belen Perez Duenas, MD, PhD37, Revathi Rajkumar, PhD3, Ann Saada, PhD38,39, Russell P. Saneto, DO, PhD40, Kate Sergeant, PhD, FRCPath24, John Shoffner, MD41, Conrad Smith, PhD24, Christine Stanley, PhD42,43, Isabelle Thiffault, PhD44, David Thorburn, PhD FHGSA FFSc(RCPA)15,16, Melissa Walker, MD, PhD45,, Douglas Wallace, PhD2,7, Lee-Jun Wong, PhD46

1Mitochondrial Medicine Frontier Program, Division of Human Genetics, Department of Pediatrics, Children’s Hospital of Philadelphia (CHOP), Philadelphia, PA, USA; 2Center for Mitochondrial and Epigenomic Medicine, Department of Pathology, CHOP, Philadelphia, PA, USA; 3Illumina Clinical Services Laboratory, Illumina Inc., San Diego, CA, USA; 4Center for Personalized Medicine, Department of Pathology & Laboratory Medicine, Children’s Hospital Los Angeles, Los Angeles, CA, USA; 5IDDB/NICHD, National Institutes of Health, Bethesda, MD, USA; 6Departments of Pathology and Lab Medicine (Neuropathology), Children’s Hospital of Philadelphia, Philadelphia, PA, USA; 7University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; 8Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; 9Mitochondrial Research Group, Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, and Metabolic Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom; 10Department of Neuroradiology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA; 11Child Neurology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; 12GeneDx, Gaithersburg, MD, USA; 13Laboratory of Molecular Medicine, Unit of Muscular and Neurodegenerative Diseases, Department of Neuroscience, Bambino Gesu Children’s Hospital, IRCCS, Rome, Italy; 14Faculty of Medicine and Health, Discipline of Child and Adolescent Health, The University of Sydney, Sydney, New South Wales, Australia; 15Brain and Mitochondrial Research Group, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia; 16Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia; 17Genome Integrity and Structural Biology Laboratory, NIEHS, NIH, Research Triangle Park, NC, USA; 18Icahn School of Medicine at Mount Sinai, New York, NY, USA; 19Muscular and Neurodegenerative Disorders Unit, Bambino Gesú Children’s Hospital, IRCCS, Rome, Italy; 20Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, USA; 21Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; 22Rady Children’s Hospital, San Diego, CA, USA; 23Department of Pediatrics, University of California San Diego, San Diego, CA, USA; 24Oxford Genetics Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; 25Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; 26Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; 27Division of Neurogenetics and Neurodevelopmental Pediatrics, Children’s National Hospital, Washington D.C., USA; 28Department of Neurosciences, University of California San Diego, San Diego, CA, USA; 29Department of Pediatrics, University of California San Diego, San Diego, CA, USA; 30Division of Neurology, Rady Children’s Hospital, San Diego, CA, USA; 31Division of Medical Genetics and Metabolism, Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA; 32Department of Pediatrics, Harvard Medical School, Boston, MA, USA; 33Division of Child and Adolescent Neurology, Department of Pediatrics, The University of Texas McGovern Medical School, Houston, TX, USA; 34The University of Texas Mitochondrial Center of Excellence, Houston, TX, USA; 35Clinical genetics, NYU Langone Long Island School of Medicine, Mineola, NY, USA; 36Neuroscience Institute, Cleveland Clinic, Cleveland, OH, USA; 37Paediatric Neurology Department, Hospital Vall d’Hebrón Universitat Autónoma de Barcelona, Spain; and Biomedical Research Networking Center on Rare Diseases (CIBERER), Spain; 38Department of Genetics, Hadassah Medical Organization, Jerusalem 91120, Israel; 39Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel; 40Center for Neurosciences, Center for Integrative Brain Research, Program for Mitochondria Medicine and Metabolism, and Division of Pediatric Neurology, Seattle Children’s Hospital/University of Washington, Seattle, WA, USA; 41Neurology, Biochemical & Molecular Genetics, Atlanta, GA, USA; 42C2i Genomics, Cambridge, MA, USA; 43Variantyx, Framingham, MA, USA; 44Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO, USA; 45Howard Hughes Medical Institute, Department of Molecular Biology, Massachusetts General Hospital, Cambridge, MA, USA; 46Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, TX, USA.

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DATA AVAILABILITY

Gene curation scoring and outcomes are available at https://clinicalgenome.org/affiliation/40027/.

REFERENCES

  • 1.LEIGH D. Subacute necrotizing encephalomyelopathy in an infant. J Neurol Neurosurg Psychiatry. 1951;14(3):216–221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Rahman S, Blok RB, Dahl HH, et al. Leigh syndrome: clinical features and biochemical and DNA abnormalities. Ann Neurol. 1996;39(3):343–351. [DOI] [PubMed] [Google Scholar]
  • 3.Rehm HL, Berg JS, Brooks LD, et al. ClinGen--the Clinical Genome Resource. N Engl J Med. 2015;372(23):2235–2242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Strande NT, Riggs ER, Buchanan AH, et al. Evaluating the Clinical Validity of Gene-Disease Associations: An Evidence-Based Framework Developed by the Clinical Genome Resource. Am J Hum Genet. 2017;100(6):895–906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Falk MJ, Shen L, Gonzalez M, et al. Mitochondrial Disease Sequence Data Resource (MSeqDR): a global grass-roots consortium to facilitate deposition, curation, annotation, and integrated analysis of genomic data for the mitochondrial disease clinical and research communities. Mol Genet Metab. 2015;114(3):388–396. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Shen L, Diroma MA, Gonzalez M, et al. MSeqDR: A Centralized Knowledge Repository and Bioinformatics Web Resource to Facilitate Genomic Investigations in Mitochondrial Disease. Hum Mutat. 2016;37(6):540–548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Falk MJ, Shen L, Gai X. From case studies to community knowledge base: MSeqDR provides a platform for the curation and genomic analysis of mitochondrial diseases. Cold Spring Harb Mol Case Stud. 2016;2(3):a001065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Thaxton C, Goldstein J, DiStefano M, et al. Lumping versus splitting: How to approach defining a disease to enable accurate genomic curation. Cell Genom. 2022;2(5). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Rahman J, Noronha A, Thiele I, Rahman S. Leigh map: A novel computational diagnostic resource for mitochondrial disease. Ann Neurol. 2017;81(1):9–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Tinker RJ, Falk MJ, Goldstein A, et al. Early developmental delay in Leigh syndrome spectrum disorders is associated with poor clinical prognosis. Mol Genet Metab. 2022;135(4):342–349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Nogueira C, Barros J, Sa MJ, et al. Novel TTC19 mutation in a family with severe psychiatric manifestations and complex III deficiency. Neurogenetics. 2013;14(2):153–160. [DOI] [PubMed] [Google Scholar]
  • 12.Bernier FP, Boneh A, Dennett X, Chow CW, Cleary MA, Thorburn DR. Diagnostic criteria for respiratory chain disorders in adults and children. Neurology. 2002;59(9):1406–1411. [DOI] [PubMed] [Google Scholar]
  • 13.Ferreira CR, Rahman S, Keller M, Zschocke J, Group IA. An international classification of inherited metabolic disorders (ICIMD). J Inherit Metab Dis. 2021;44(1):164–177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Alves C, Teixeira SR, Martin-Saavedra JS, et al. Pediatric Leigh Syndrome: Neuroimaging Features and Genetic Correlations. Ann Neurol. 2020;88(2):218–232. [DOI] [PubMed] [Google Scholar]
  • 15.McCormick EM, Lott MT, Dulik MC, et al. Specifications of the ACMG/AMP standards and guidelines for mitochondrial DNA variant interpretation. Hum Mutat. 2020;41(12):2028–2057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kruse SE, Watt WC, Marcinek DJ, Kapur RP, Schenkman KA, Palmiter RD. Mice with mitochondrial complex I deficiency develop a fatal encephalomyopathy. Cell Metab. 2008;7(4):312–320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Quintana A, Zanella S, Koch H, et al. Fatal breathing dysfunction in a mouse model of Leigh syndrome. J Clin Invest. 2012;122(7):2359–2368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Basel-Vanagaite L, Muncher L, Straussberg R, et al. Mutated nup62 causes autosomal recessive infantile bilateral striatal necrosis. Ann Neurol. 2006;60(2):214–222. [DOI] [PubMed] [Google Scholar]
  • 19.Neilson DE, Adams MD, Orr CM, et al. Infection-triggered familial or recurrent cases of acute necrotizing encephalopathy caused by mutations in a component of the nuclear pore, RANBP2. Am J Hum Genet. 2009;84(1):44–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Karczewski KJ, Francioli LC, Tiao G, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581(7809):434–443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Vernau KM, Runstadler JA, Brown EA, et al. Genome-wide association analysis identifies a mutation in the thiamine transporter 2 (SLC19A3) gene associated with Alaskan Husky encephalopathy. PLoS One. 2013;8(3):e57195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Duchesne A, Vaiman A, Castille J, et al. Bovine and murine models highlight novel roles for SLC25A46 in mitochondrial dynamics and metabolism, with implications for human and animal health. PLoS Genet. 2017;13(4):e1006597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.van de Wal MAE, Adjobo-Hermans MJW, Keijer J, et al. Ndufs4 knockout mouse models of Leigh syndrome: pathophysiology and intervention. Brain. 2022;145(1):45–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Nair RR, Koivisto H, Jokivarsi K, et al. Impaired Mitochondrial Fatty Acid Synthesis Leads to Neurodegeneration in Mice. J Neurosci. 2018;38(45):9781–9800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bean LJH, Funke B, Carlston CM, et al. Diagnostic gene sequencing panels: from design to report-a technical standard of the American College of Medical Genetics and Genomics (ACMG). Genet Med. 2020;22(3):453–461. [DOI] [PubMed] [Google Scholar]
  • 26.Thaxton C, Good ME, DiStefano MT, et al. Utilizing ClinGen gene-disease validity and dosage sensitivity curations to inform variant classification. Hum Mutat. 2022;43(8):1031–1040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Barcelos I, Shadiack E, Ganetzky RD, Falk MJ. Mitochondrial medicine therapies: rationale, evidence, and dosing guidelines. Curr Opin Pediatr. 2020;32(6):707–718. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supinfo3

Supplemental TABLE 2. Recurrent and founder variants seen in LSS.

Supinfo1

Supplemental Figure 1. Mito GCEP expert panel member geographic location.

Supinfo2

Supplemental TABLE 1. Experimental models scored. * indicates embryonic lethal

Data Availability Statement

Gene curation scoring and outcomes are available at https://clinicalgenome.org/affiliation/40027/.

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