Abstract
The genetic etiology of intellectual disability remains elusive in almost half of all affected individuals. Within the Solve-RD consortium, systematic re-analysis of whole exome sequencing (WES) data from unresolved cases with (syndromic) intellectual disability (n = 1,472 probands) was performed. This re-analysis included variant calling of mitochondrial DNA (mtDNA) variants, although mtDNA is not specifically targeted in WES. We identified a functionally relevant mtDNA variant in MT-TL1 (NC_012920.1:m.3291T > C; NC_012920.1:n.62T > C), at a heteroplasmy level of 22% in whole blood, in a 23-year-old male with severe intellectual disability, epilepsy, episodic headaches with emesis, spastic tetraparesis, brain abnormalities, and feeding difficulties. Targeted validation in blood and urine supported pathogenicity, with heteroplasmy levels of 23% and 58% in index, and 4% and 17% in mother, respectively. Interestingly, not all phenotypic features observed in the index have been previously linked to this MT-TL1 variant, suggesting either broadening of the m.3291T > C-associated phenotype, or presence of a co-occurring disorder. Hence, our case highlights the importance of underappreciated mtDNA variants identifiable from WES data, especially for cases with atypical mitochondrial phenotypes and their relatives in the maternal line.
Subject terms: Genetics research, Neurological disorders, Neurodevelopmental disorders, Translational research
Introduction
The introduction of whole exome sequencing (WES) in clinical settings has massively augmented diagnostic yield for intellectual disability (ID) and other neurodevelopmental disorders (NDD), and additionally identified many new disease-gene associations. Yet, ~50–70% of individuals with ID/NDD remain undiagnosed [1]. The Solve-RD project [2] systematically reanalyzes exomes and phenotypic data of 19,000 unsolved cases with rare disease from four European Reference Networks (ERNs) to elucidate the genetic etiology, including ~5,000 cases from ERN-ITHACA (Intellectual Disability, TeleHealth and Congenital Anomalies; https://ern-ithaca.eu/). Exploration of mitochondrial DNA sequences extracted from WES data is part of this effort [3], as 27 of the 37 mitochondrial genes have a known disease-gene association (http://www.mitomap.org).
MT-TL1 encodes mitochondrial tRNALeu(UUR), involved in the synthesis of oxidative phosphorylation enzymes by adding leucine to the growing polypeptide chain of mtDNA-encoded subunits during translation [4]. Pathogenic variants in MT-TL1 have been linked to several phenotypes associated with mitochondrial dysfunction [5], including mitochondrial myopathy, encephalopathy, lactic acidosis and stroke-like episodes (MELAS; MIM#540000) and myoclonic epilepsy associated with ragged-red fibers (MERRF; MIM#545000).
We report on a variant in MT-TL1 known to interfere with mitochondrial function, uncovered by systematic re-analysis of WES data, illustrating the underexposed potential of WES-based analysis of mtDNA in identifying variants with clinical consequences.
Methods
Patient inclusion
All individuals (or legal representatives) in the Solve-RD project provided consent, compliant with local ethical guidelines and the Declaration of Helsinki. For this case, the Radboudumc Ethics Board approved the study (2018-4986). For publication of photos, additional consent was obtained.
WES
Diagnostic trio-based exome sequencing (proband and parents) was performed as described previously [6] using DNA isolated from whole blood.
Data sharing
Human Phenotype Ontology-coded clinical data were uploaded along with BAM files to the RD-Connect Genome-Phenome Analysis Platform (https://platform.rd-connect.eu/), and deposited at European Genome-Phenome Archive (EGAZ00001527897), as part of the Solve-RD infrastructure [2]. The variant and phenotype were submitted to the Leiden Open Variation Database (individual number 00328346, phenotype number 0000246573, variant number 0000713909).
Variant identification
Systematic re-analysis of WES data is described by Matalonga et al. [3]. Details specific to this case include mapping, calling, and annotation of mtDNA using MToolBox pipeline (version 1.0) [7], with mapping against rCRS (for mtDNA) and GRCh37/Hg19 (for genomic DNA) as reference sequences, allowing the detection of heteroplasmy levels and prioritization of variants. The following parameters were applied to identify possible disease-associated variants: (1) coverage ≥8-fold; (2) heteroplasmy fraction ≥1%; (3) GeneBank allele frequency (MITOMAP) <0.2%; (4) “Confirmed” or “Reported” disease association in MITOMAP; and (5) reported “Pathogenic” (ACMG, class 5) or “Likely pathogenic” (ACMG, class 4) in ClinVar.
Heteroplasmy validation
Confirmation of mitochondrial heteroplasmy was performed on blood and urine of the proband, mother and sisters using routine diagnostic procedures (PGM Ion Torrent Technology).
Results
Clinical characteristics
We report on a 23-year-old male proband with a complex neurodevelopmental and neuromuscular phenotype, who remained undiagnosed despite extensive diagnostic evaluation in a tertiary center. Family history was unremarkable, with two healthy older sisters and non-consanguineous parents. After uncomplicated pregnancy and delivery at term (normal birth weight (3840 g) and length (52 cm); head circumference 34 cm, 0 SD; Apgar score 10), first concerns about development arose around 3 months of age. At age 15 months, there was severe developmental delay, consisting of hypotonia, delayed motor, social and communicative milestones, and secondary microcephaly (44 cm, −2.5 SD). Brain MRI (at 15 months; repeated at age 14 years) showed supratentorial pachygyria and frontoparietal polymicrogyria (Fig. 1A), with white matter abnormalities in the posterior limb of the internal capsule (Fig. 1B). Cerebellum and corpus callosum showed no deformities and EEG did not show epileptiform activity at age 15 months.
He developed spastic tetraparesis, orofacial dystonia, and dystonia of hands and feet. Epilepsy manifested at 7 years of age with frontal focal-onset seizures, with and without secondary tonic-clonic generalization. No myoclonus was observed. Deterioration occurred at age 17 with episodes of severe headaches, accompanied by nausea, vomiting, hematemesis, pallor and perspiration, coinciding with epileptiform activity on EEG in the left temporal lobe. Brain CT was interpreted as normal at that time (Fig. 1C). Different anti-epileptic drugs were prescribed, of which several resulted in adverse drug reactions including erythema multiforme (carbamazepine, oxcarbazepine), muscle weakness (clobazam, pregabalin), or obstructive sleep apnea syndrome (clobazam), resolving after cessation of the respective medication. Because of poor seizure control, 24-h continuous EEG monitoring was performed at 18 years and showed bilateral independent and simultaneous periodic discharges, which were more frequent during sleep than during wakefulness. He is now largely seizure free on low-dose carbamazepine. Other medical problems were severe progressive neuromuscular scoliosis (Fig. 2A), bilateral hip dysplasia with luxation, drooling with excessive tenacious stringy mucus, and severe feeding difficulties requiring gastric tube feeding and resulting in low body weight (age 18: length 165 cm, −2.6 SD; weight 39.5 kg, weight-for-length −3.1 SD; head circumference 54 cm, −1.9 SD). Ophthalmological assessment, visual and brainstem auditory evoked potentials, and electrocardiography were normal. Facial dysmorphisms at 19 years of age included a long hypotonic face, full eyebrows, long palpebral fissures, a prominent nose and nasal bridge, high palate, gingival hyperplasia, and abnormal tooth implant (Fig. 2B–D), becoming more prominent over time (Fig. 2E).
Karyotype, genomic micro-array (Agilent 180k oligo-array), targeted analysis of WDR62 and ADGRG1, extensive lysosomal screening, and trio-based WES did not yield a diagnosis. Metabolic workup revealed elevation of multiple amino acids, including glycine, serine, threonine (in plasma and urine), lysine, methionine, and alanine (in plasma), in a pattern not described for a known metabolic disorder. Lactate in blood (1.8 mmol/l, age 20 years) and cerebrospinal fluid (1.0 mmol/l, age 15 months) were within normal range. Pharmacogenetic analysis showed a rare homozygous variant in CYP3A4 (NM_017460.5:c.878T > C;*18; rs28371759) unlikely to explain the largely dose-independent adverse drug reactions, and two rare HLA-types (HLA-A*0103; HLA-B*0835) of unknown significance.
Systematic re-analysis revealed a known pathogenic variant in MT-TL1
Data of the proband and parents were included in the Solve-RD project. Prioritization of nuclear DNA variants did not yield diagnostically relevant variants, despite analysis of (de novo) variants in known disease–genes, particularly those associated with recessive or dominant cortical dysplasia, and in genes not yet implicated in NDD/ID. Variant prioritization from mtDNA revealed a variant in MT-TL1 [8], NC_012920.1:m.3291T > C (NC_012920.1:n.62T > C), known to affect mitochondrial function, at 22% heteroplasmy. The variant was absent from maternal WES data.
Validation was performed on blood of the proband and his mother using routine diagnostic procedures, displaying a heteroplasmy level of 23% in the index, compared to 4% in his mother. Urine heteroplasmy levels were 58% and 17% in index and mother, respectively. Follow-up of the family revealed heteroplasmy levels of 4% (blood) and 9% (urine) in one of the sisters, but the variant was absent from blood and urine of the other sister. We re-evaluated brain CT imaging of the index, performed at age 17 years, which in retrospect showed early signs of stroke, including loss of gray–white differentiation in the left temporal lobe (Fig. 1C), co-localizing with epileptiform activity seen on EEG at the time of onset of episodic symptoms. Additionally, multidisciplinary evaluation and comparison of his phenotype to previously published individuals with the same variant (Table 1) revealed that the proband exhibits several symptoms seen in other individuals (epilepsy, episodic headaches with emesis, feeding difficulties, low body weight, and neuromuscular problems) [9–14], but also features that were not described before (abnormalities of brain gyration, facial dysmorphisms, early age of onset of developmental delay).
Table 1.
Reference | Age of onset (years) | M/F | Phenotype | % heteroplasmy (tissue) | Biochemical–Lactate levels | Other biochemical and/or histochemical evidence | Remarks |
---|---|---|---|---|---|---|---|
Goto et al. [9] | 7 | M | MELAS; episodic headaches and vomiting, partial and generalized seizures, transient visual and auditory disturbances followed by headaches, cerebral infarctions, mild ID, muscle weakness |
86% (muscle), 30% (whole blood), 20% (EBV-transformed lymphocytes) |
Elevated (serum and cerebrospinal fluid) | No definite deficiencies of respiratory chain enzymes. RRFs, succinate dehydrogenase reactive vessels | Variant absent in unaffected mother and sister |
Uziel et al. [14] | 6 | F | Mild myopathy: proximal and axial muscle weakness and wasting, normal IQ, impaired growth (weight and length <p3), fatigue |
87% (muscle), 45% (lymphocyte), 50% (fibroblast) |
Elevated (serum and urine) | Reduction complex I, III, and IV. RRFs and COX-negative fibers, hypotrophic type II fibers, increased lipid content | Mother (below average height, otherwise unaffected) and unaffected brother had heteroplasmy levels of 19% and 6%, respectively |
Valente et al. 2009 [18] | 51 | NA | Myopathy | NA | NA | Normal biochemical parameters. RRFs and COX-negative fibers | |
Valente et al. [18] | 12 | NA | Deafness, cognitive impairment | NA | NA | Reduction complex I. RRFs | |
Salsano et al. [19] | Puberty | F | Slowly progressive cognitive decline, behavioral disturbances, Wolff-Parkinson-White syndrome, hearing loss, weight loss, hyperkinesia (myoclonic jerks and tics), cerebellar symptoms and cortical and cerebellar atrophy |
95% (muscle), 40% (blood) |
Elevated (serum), normal at re-evaluation (serum) | Reduction complex I. RRFs and COX-negative fibers | Variant absent in unaffected mother and sister (blood and urine). Schizophrenia and Wolff-Parkinson-White syndrome are reported for maternal aunts |
Sunami et al. [10] | 45 | F | Severe cerebellar ataxia, myopathy, mild ophthalmoparesis, hearing loss, and asymptomatic EEG abnormality |
11% (peripheral leukocytes), 74% (muscle) |
Normal (sample not specified) | RRFs, succinate dehydrogenase reactive vessels, COX-negative fibers | Family of 5 affected individuals in 4 generations |
Sunami et al. [10] | NA | F | Hearing loss and glaucoma | NA | NA | NA | Family of 5 affected individuals in 4 generations |
Sunami et al. [10] | 14 | F | Palindromic rheumatism, recurrent migraine. Multiple small hyperintense areas in subcortical white matter of cerebrum on T2 MRI | NA | NA | NA | Family of 5 affected individuals in 4 generations |
Sunami et al. [10] | 36 | F | Photo-induced myoclonus, atrophy of cerebellum, absence of tendon reflexes, truncal ataxia, normal mental status | 16% (peripheral leukocytes) | NA | NA | Family of 5 affected individuals in 4 generations |
Sunami et al. [10] | 15 | F | Generalized seizures, myoclonic jerks, slight cognitive decline, absence of tendon reflexes | 27% (peripheral leukocytes) | NA | NA | Family of 5 affected individuals in 4 generations |
Emmanuele et al. [13] | 43 | M | Progressive myoclonus epilepsy, cerebellar ataxia, cortical and cerebellar atrophy, hearing loss, myopathic weakness, ophthalmoparesis, pigmentary retinopathy, bifascicular heart block, premature graying (20 years) | 92% (muscle) | Elevated (serum) | Normal respiratory chain enzymes. RRFs and succinate dehydrogenase reactive vessels | |
Yarham et al. [8] | 51 | M | Bilateral sensorineural deafness, falls, speech disturbance, weight loss, diabetes mellitus, macroglossia with fatty infiltration, dysarthria, bilateral pes cavus, lipoma, low tendon reflexes, dysmetria, generalized brain atrophy | 39% (muscle) | Elevated (cerebrospinal fluid) | Dystrophic changes and lipid infiltrates, RRFs, COX-negative fibers, succinate dehydrogenase reactive vessels | Unaffected sister shows heteroplasmy levels of 6% in both urine and blood |
Liu et al. [11] | 14 | F | Progressive cerebellar ataxia, frequent myoclonus seizures, recurrent stroke-like episodes, migraine-like headaches with nausea and vomiting, nystagmus, basal ganglia calcification, brain atrophy, and stroke-like lesions |
93% (muscle), 67% (blood), 62% (fibroblasts) |
Elevated (serum) | RRF, COX-negative fibers, succinate dehydrogenase reactive vessels | Mother of proband (phenotype: emaciation and short stature) and asymptomatic sister of proband have heteroplasmy levels of 46% and 50%, respectively |
Keilland et al. [12] | 15 | F | Status epilepticus (age 15 years), but in retrospect longstanding history of fatigability, weakness, low body weight (<p3). Ptosis, external ophthalmoplegia, eyelid myoclonia, distal polymyoclonus, stroke-like episodes, gastroparesis, poor gut mobility, constipation, brain abnormalities (old infarction, high signal in parenchym) |
75% (muscle), 35% (urine), 30% (blood), 25% (cultured primary skin fibroblast) |
Elevated (serum) | Reduction complex I and III. RRFs, succinate dehydrogenase reactive vessels, COX-negative fibers | Mother history of migraine headaches (heteroplasmy in lymphocytes 11%), also headaches in maternal grandmother and maternal great aunt. Brother of proband easily fatigued (heteroplasmy in lymphocytes 14%), sister of proband has headaches (heteroplasmy in lymphocytes 5%) |
This publication | 23 | M | Severe intellectual disability, brain imaging abnormalities (pachygyria, polymicrogyria, white matter abnormalities, in retrospect signs of stroke on brain CT), spastic tetraparesis, oral dystonia and dystonia of hands and feet, epilepsy, episodic headaches with nausea and emesis, adverse drug reactions, feeding difficulties, secondary microcephaly in childhood, low body weight, drooling, severe progressive neuromuscular scoliosis and congenital hip dysplasia, dental and gingival abnormalities, facial dysmorphisms | 23% (blood), 58% (urine) | Normal (serum 1.8 mmol/l; age 20 years; and cerebrospinal fluid 1.0 mmol/l, age 15 months) | Not tested | Heteroplasmy levels in the mother: 4% (blood), 17% (urine). The variant was observed in one of the sisters with heteroplasmy levels of 4% (blood) and 9% (urine), but undetectable in blood and urine of the other sister |
COX cytochrome c oxidase, ID intellectual disability, MELAS mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episodes, NA not available, RRFs ragged-red fibers.
Discussion
Systematic re-analysis of existing WES data of unresolved cohorts can efficiently yield additional diagnoses [15]. Yet, re-analysis rarely includes evaluation of mtDNA although pathogenic mtDNA variants underly many rare diseases. This case illustrates the importance of including mtDNA in re-analysis, as the identification of the MT-TL1 variant is of medical relevance to the proband and his sisters of childbearing age.
Mitochondrial disorders associated with mitochondrial tRNA genes are characterized by both genotypic and phenotypic heterogeneity, with poor genotype–phenotype correlations [8, 16, 17]. The m.3291T > C variant described here is located in the T-loop of mitochondrial tRNALeu(UUR). This variant was shown to result in respiratory chain enzyme deficiency and its pathogenicity was proven by single muscle fiber mtDNA analysis, showing high heteroplasmy levels in cytochrome c oxidase deficient muscle fibers [8]. Individuals carrying the m.3291T > C variant display a broad phenotypic spectrum varying from mild symptoms to severely debilitating disease [8–14, 18, 19], largely overlapping with features observed in the index. As no additional diagnostically relevant variants could be identified, it remains unclear whether the early age of onset of developmental delay, gyration defects, and dysmorphisms are attributable to a second rare genetic disorder, or expand the m.3291T > C phenotypic spectrum. However, despite gyration defects being uncommon in individuals with MT-TL1 variants, polymicrogyria has been reported for m.3243A > G in two unrelated individuals with atypical MELAS phenotypes, additionally exhibiting other atypical symptoms also observed in the proband, including hypertonia, early onset developmental delay [20, 21] and facial dysmorphisms [20]. The proband’s facial dysmorphisms might be secondary to muscle tone abnormalities. Hence, we concluded that the MT-TL1 variant could at least in part, but possibly completely, explain the proband’s phenotype.
In conclusion, we describe a male proband carrying a mtDNA variant confirmed to interfere with mitochondrial function, that was identified in systematic, large-scale re-analysis on a large cohort of individuals with unresolved (syndromic) ID through the collaborative Solve-RD project. Our observations suggest that re-analysis encompassing the mtDNA interpreted from WES data may successfully yield novel unanticipated diagnoses in unexplained cases of ERN-ITHACA with implications for reproductive choices of relatives in the maternal line.
Supplementary information
Acknowledgements
We are extremely grateful to the proband and his parents for their willingness to participate in this study. In addition, we thank Michael Kwint, Kornelia Neveling, Fons Stassen, Steve Laurie, and Raul Tonda for their technical and bioinformatic support. This work has been generated through a collaboration with the European Reference Network on Rare Congenital Malformations and Rare Intellectual Disability (ERN-ITHACA) [EU Framework Partnership Agreement ID: 3HP-HP-FPA ERN-01-2016/739516]. For more information about the ERNs and the EU health strategy please visit http://ec.europa.eu/health/ern.
Solve-RD SNV-indel working group
Enzo Cohen13, Isabel Cuesta14, Daniel Danis15, Anne-Sophie Denommé-Pichon16,17,18, Yannis Duffourd16,18, Christian Gilissen2,19, Mridul Johari20, Steven Laurie3, Shuang Li21, Leslie Matalonga3, Isabelle Nelson13, Sophia Peters22, Ida Paramonov3, Sivakumar Prasanth23, Peter Robinson15, Karolis Sablauskas2,19, Marco Savarese20, Wouter Steyaert2,19, Ana Töpf24, Joeri K. van der Velde21, Antonio Vitobello16
Solve-RD-DITF-ITHACA
Siddharth Banka25,26, Elisa Benetti27, Giorgio Casari28,29, Andrea Ciolfi30, Jill Clayton-Smith25,26, Bruno Dallapiccola30, Elke de Boer2,31, Anne-Sophie Denommé-Pichon16,17,18, Kornelia Ellwanger32,33, Laurence Faivre16,34, Christian Gilissen2,19, Holm Graessner32,33, Tobias B. Haack32, Anna Hammarsjö35, Marketa Havlovicova37, Alexander Hoischen2,19,37, Anne Hugon38, Adam Jackson26, Tjitske Kleefstra2,31, Anna Lindstrand35, Estrella López-Martín39, Milan Macek Jr.36, Leslie Matalonga3, Manuela Morleo29, Vicenzo Nigro29, Ann Nordgren35, Maria Pettersson35, Michele Pinelli29, Simone Pizzi30, Manuel Posada39, Francesca Clementina Radio40, Alessandra Renieri27,41,42, Caroline Rooryck43, Lukas Ryba36, Martin Schwarz36, Marco Tartaglia30, Christel Thauvin16,34, Annalaura Torella28,29, Aurélien Trimouille10,11, Alain Verloes38,44, Lisenka Vissers2,31, Antonio Vitobello16, Pavel Votypka36, Klea Vyshka38,44, Birte Zurek32,33
Funding
This work was financially supported by Aspasia grants of the Dutch Research Council (015.014.036 to TK and 015.014.066 to LELMV), the European Research Council (ERC to RH), the Wellcome Investigator Award (109915/Z/15/Z to RH), the Medical Research Council UK (MR/N025431/1 to RH), the Newton Fund (MR/N027302/1 to RH), the Lily Foundation (RH), and the Evelyn Trust (RH). The Solve-RD project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 779257.
Compliance with ethical standards
Conflict of interest
The authors declare no competing interests.
Footnotes
Members of the Solve-RD SNV-indel working group and Solve-RD-DITF-ITHACA are listed below Acknowledgements.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Alain Verloes, Lisenka E. L. M. Vissers
Change history
7/15/2021
A Correction to this paper has been published: 10.1038/s41431-021-00937-3
Contributor Information
Charlotte W. Ockeloen, Email: charlotte.ockeloen@radboudumc.nl
Solve-RD SNV-indel working group:
Enzo Cohen, Isabel Cuesta, Daniel Danis, Anne-Sophie Denommé-Pichon, Yannis Duffourd, Christian Gilissen, Mridul Johari, Steven Laurie, Shuang Li, Leslie Matalonga, Isabelle Nelson, Sophia Peters, Ida Paramonov, Sivakumar Prasanth, Peter Robinson, Karolis Sablauskas, Marco Savarese, Wouter Steyaert, Ana Töpf, Joeri K. van der Velde, and Antonio Vitobello
Solve-RD-DITF-ITHACA:
Siddharth Banka, Elisa Benetti, Giorgio Casari, Andrea Ciolfi, Jill Clayton-Smith, Bruno Dallapiccola, Elke de Boer, Kornelia Ellwanger, Laurence Faivre, Holm Graessner, Tobias B. Haack, Anna Hammarsjö, Marketa Havlovicova, Alexander Hoischen, Anne Hugon, Adam Jackson, Tjitske Kleefstra, Anna Lindstrand, Estrella López-Martín, Milan Macek, Jr., Manuela Morleo, Vicenzo Nigro, Ann Nordgren, Maria Pettersson, Michele Pinelli, Simone Pizzi, Manuel Posada, Francesca Clementina Radio, Alessandra Renieri, Caroline Rooryck, Lukas Ryba, Martin Schwarz, Marco Tartaglia, Christel Thauvin, Annalaura Torella, Alain Verloes, Lisenka Vissers, Pavel Votypka, Klea Vyshka, and Birte Zurek
Supplementary information
The online version contains supplementary material available at 10.1038/s41431-021-00900-2.
References
- 1.Srivastava S, Love-Nichols JA, Dies KA, Ledbetter DH, Martin CL, Chung WK, et al. Meta-analysis and multidisciplinary consensus statement: exome sequencing is a first-tier clinical diagnostic test for individuals with neurodevelopmental disorders. Genet Med. 2019;21:2413–21.. doi: 10.1038/s41436-019-0554-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Zurek B, Ellwanger K, Vissers LELM, Schüle R, Synofzik M, Töpf A, et al. Solve-RD: systematic Pan-European data sharing and collaborative analysis to solve Rare Diseases. Submitted to EJHG (698-20-EJHG). [DOI] [PMC free article] [PubMed]
- 3.Matalonga L, Hernández-Ferrer C, Piscia D, Vissers LELM, Schüle R, group S-RS-iw, et al. Solving patients with rare diseases through programmatic reanalysis of genome-phenome data. Submitted to EJHG (703-20-EJHG). [DOI] [PMC free article] [PubMed]
- 4.Finsterer J. Genetic, pathogenetic, and phenotypic implications of the mitochondrial A3243G tRNALeu(UUR) mutation. Acta Neurol Scand. 2007;116:1–14. doi: 10.1111/j.1600-0404.2007.00836.x. [DOI] [PubMed] [Google Scholar]
- 5.Chin J, Marotta R, Chiotis M, Allan EH, Collins SJ. Detection rates and phenotypic spectrum of m.3243A>G in the MT-TL1 gene: a molecular diagnostic laboratory perspective. Mitochondrion. 2014;17:34–41. doi: 10.1016/j.mito.2014.05.005. [DOI] [PubMed] [Google Scholar]
- 6.de Ligt J, Willemsen MH, van Bon BW, Kleefstra T, Yntema HG, Kroes T, et al. Diagnostic exome sequencing in persons with severe intellectual disability. N Engl J Med. 2012;367:1921–9. doi: 10.1056/NEJMoa1206524. [DOI] [PubMed] [Google Scholar]
- 7.Calabrese C, Simone D, Diroma MA, Santorsola M, Guttà C, Gasparre G, et al. MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing. Bioinformatics. 2014;30:3115–7. doi: 10.1093/bioinformatics/btu483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Yarham JW, Blakely EL, Alston CL, Roberts ME, Ealing J, Pal P, et al. The m.3291T>C mt-tRNA(Leu(UUR)) mutation is definitely pathogenic and causes multisystem mitochondrial disease. J Neurol Sci. 2013;325:165–9. doi: 10.1016/j.jns.2012.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Goto Y, Tsugane K, Tanabe Y, Nonaka I, Horai S. A new point mutation at nucleotide pair 3291 of the mitochondrial tRNA(Leu(UUR)) gene in a patient with mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episodes (MELAS) Biochem Biophys Res Commun. 1994;202:1624–30. doi: 10.1006/bbrc.1994.2119. [DOI] [PubMed] [Google Scholar]
- 10.Sunami Y, Sugaya K, Chihara N, Goto Y, Matsubara S. Variable phenotypes in a family with mitochondrial encephalomyopathy harboring a 3291T>C mutation in mitochondrial DNA. Neurol Sci. 2011;32:861–4. doi: 10.1007/s10072-011-0719-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Liu K, Zhao H, Ji K, Yan C. MERRF/MELAS overlap syndrome due to the m.3291T>C mutation. Metab Brain Dis. 2014;29:139–44. doi: 10.1007/s11011-013-9464-5. [DOI] [PubMed] [Google Scholar]
- 12.Keilland E, Rupar CA, Prasad AN, Tay KY, Downie A, Prasad C. The expanding phenotype of MELAS caused by the m.3291T > C mutation in the MT-TL1 gene. Mol Genet Metab Rep. 2016;6:64–9. doi: 10.1016/j.ymgmr.2016.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Emmanuele V, Silvers DS, Sotiriou E, Tanji K, DiMauro S, Hirano M. MERRF and Kearns-Sayre overlap syndrome due to the mitochondrial DNA m.3291T>C mutation. Muscle Nerve. 2011;44:448–51. doi: 10.1002/mus.22149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Uziel G, Carrara F, Granata T, Lamantea E, Mora M, Zeviani M. Neuromuscular syndrome associated with the 3291T–>C mutation of mitochondrial DNA: a second case. Neuromuscul Disord. 2000;10:415–8. doi: 10.1016/S0960-8966(99)00115-7. [DOI] [PubMed] [Google Scholar]
- 15.Li J, Gao K, Yan H, Xiangwei W, Liu N, Wang T, et al. Reanalysis of whole exome sequencing data in patients with epilepsy and intellectual disability/mental retardation. Gene. 2019;700:168–75.. doi: 10.1016/j.gene.2019.03.037. [DOI] [PubMed] [Google Scholar]
- 16.Yarham JW, Elson JL, Blakely EL, McFarland R, Taylor RW. Mitochondrial tRNA mutations and disease. Wiley Interdiscip Rev RNA. 2010;1:304–24. doi: 10.1002/wrna.27. [DOI] [PubMed] [Google Scholar]
- 17.Grady JP, Pickett SJ, Ng YS, Alston CL, Blakely EL, Hardy SA, et al. mtDNA heteroplasmy level and copy number indicate disease burden in m.3243A>G mitochondrial disease. EMBO Mol Med. 2018;10:e8262. doi: 10.15252/emmm.201708262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Valente L, Piga D, Lamantea E, Carrara F, Uziel G, Cudia P, et al. Identification of novel mutations in five patients with mitochondrial encephalomyopathy. Biochim Biophys Acta. 2009;1787:491–501. doi: 10.1016/j.bbabio.2008.10.001. [DOI] [PubMed] [Google Scholar]
- 19.Salsano E, Giovagnoli AR, Morandi L, Maccagnano C, Lamantea E, Marchesi C, et al. Mitochondrial dementia: a sporadic case of progressive cognitive and behavioral decline with hearing loss due to the rare m.3291T>C MELAS mutation. J Neurol Sci. 2011;300:165–8. doi: 10.1016/j.jns.2010.09.022. [DOI] [PubMed] [Google Scholar]
- 20.Keng WT, Pilz DT, Minns B, FitzPatrick DR. A3243G mitochondrial mutation associated with polymicrogyria. Dev Med Child Neurol. 2003;45:704–8. doi: 10.1111/j.1469-8749.2003.tb00874.x. [DOI] [PubMed] [Google Scholar]
- 21.Vidal A, Castillo M. Bilateral polymicrogyria and MELAS/A3243G mutation. A very uncommon association. Neuroradiol J. 2011;24:199–201. doi: 10.1177/197140091102400206. [DOI] [PubMed] [Google Scholar]
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