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Record W2773175438 · doi:10.1093/brain/awx290

POLR3A variants in hereditary spastic paraplegia and ataxia

2017· letter· en· W2773175438 on OpenAlexafffund
Laurence Gauquelin, Martine Tétreault, Isabelle Thiffault, Emily Farrow, Neil Miller, Byunggil Yoo, Eric Bareke, Grace Yoon, Oksana Suchowersky, Nicolas Dupré, Mark A. Tarnopolsky, Bernard Brais, Nicole I. Wolf, Jacek Majewski, Guy A. Rouleau, Ziv Gan‐Or, Geneviève Bernard

Bibliographic record

VenueBrain · 2017
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsMcMaster UniversityUniversité LavalUniversity of AlbertaMcGill UniversityMcGill University Health CentreMontreal Neurological Institute and HospitalSickKids FoundationUniversity of TorontoHospital for Sick ChildrenMcGill University and Génome Québec Innovation CentreMontreal Children's Hospital
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchGénome QuébecMcGill University
KeywordsHereditary spastic paraplegiaAtaxiaParaplegiaSpasticMedicinePhysical medicine and rehabilitationLeukodystrophyGeneticsBiologyPsychiatryPathologySpinal cordCerebral palsyPhenotypeDiseaseGene

Abstract

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Sir, We read with great interest the manuscript entitled ‘Hypomorphic mutations in POLR3A are a frequent cause of sporadic and recessive spastic ataxia’, by Minnerop et al. (2017). Based on our own clinical expertise on POLR3-related disorders, as well as data from 745 individuals from 492 families with hereditary spastic paraplegia (HSP) and ataxia, we would like to raise one main concern. Based on the recent literature, we believe that the patients described by Minnerop et al. would have been better categorized as having POLR3-related disorders, rather than ataxia or HSP. Moreover, our genetic data suggest that the intronic variant in POLR3A (c.1909+22G>A) is not likely to cause HSP and ataxia, but rather, atypical POLR3-related disorders as previously reported (La Piana et al., 2016). Ultimately, functional studies looking at the impact of the c.1909+22G>A intronic variant will shed light on its exact role. The clinical characteristics of POLR3-related disorders have been described as an overlapping phenotype with features of both ataxia and HSP since the earliest descriptions (Wolf et al., 2005; Timmons et al., 2006; Bernard et al., 2010). Indeed, patients with POLR3-related disorders have prominent cerebellar features, including gait ataxia, intention tremor, dysmetria and saccadic pursuit. Pyramidal features are typically less prominent, and involve more the lower than the upper extremities. We would like to emphasize that peripheral neuropathy is not a feature of POLR3-related disorders, as nerve conduction studies (NCS) are normal in all cases our group is aware of. Moreover, the pathological findings described on electron microscopy by Timmons et al. (2006) are hypothesized to be most likely artefactual, as they have never been replicated. Therefore, we wonder whether the abnormal NCS reported in six patients (Patients F1-5, F1-8, F3-1, F11-1, F12-1 and F19-1) by Minnerop et al. (2017) are caused by another aetiology. Non-neurological features are not obligatory in POLR3-related disorders and include a wide range of dental abnormalities and endocrine manifestations (typically hypogonadotropic hypogonadism, i.e. pituitary dysfunction rather than gonadal dysfunction). Myopia was not mentioned by Minnerop et al., however, it is the most common non-neurological feature. Another frequent non-neurological manifestation in POLR3-related disorders is short stature, which is seen in approximately half of the patients (Wolf et al., 2014). It would have been interesting to know the height of the patients presented by Minnerop et al. Regarding the dental abnormalities, the authors reported a frequency of 65% (11 of 17 cases when asked specifically); however, they did not have the information on 9/29 patients, therefore the frequency of this manifestation in their cohort is not clear. In the largest cohort of POLR3-related leukodystrophy patients published thus far, the frequency of dental abnormalities was significantly higher (87%), and the abnormalities could be very subtle (Wolf et al., 2014). Therefore, we believe that it is useful to routinely add questions about dentition and teeth to the review of systems in patients with neurodegenerative disorders, as dental abnormalities are often not spontaneously reported. Interestingly, seven patients in the cohort of Minnerop et al. had a detailed dental evaluation (Patients F1-3, F1-5, F1-7, F1-8, F2-1, F3-1 and F14-1) and all of them were found to have mild abnormalities, possibly suggesting a higher frequency than 65%. In POLR3-related disorders, brain MRI typically shows hypomyelination with better myelination of specific structures (i.e. dentate nucleus, optic radiation, anterolateral nucleus of the thalamus, globus pallidus, corticospinal tracts at the level of the posterior limb of the internal capsule), with or without thinning of the corpus callosum and atrophy of the cerebellum (Steenweg et al., 2010; La Piana et al., 2014; Wolf et al., 2014). Patients with hypomyelination and absence of these other MRI features are unlikely to have mutations in POLR3A or POLR3B (Cayami et al., 2015). In our opinion, this observation still holds true. Some patients have atypical MRI patterns without hypomyelination, as described by Minnerop et al. and as previously reported (La Piana et al., 2016). Of note, however, Minnerop et al. reported complete brain MRI results for only 12/29 patients in their study. Therefore, it may be premature to determine that their cohort does not exhibit the typical white matter features of POLR3-related disorders. Furthermore, the MRI images provided (Fig. 4) are incomplete and it is difficult to examine the presence or absence of certain previously reported MRI characteristics. Figure 4, B1 (from Minnerop et al., 2017) shows mild superior cerebellar vermis atrophy (that should be confirmed on coronal views) and mild thinning of the corpus callosum without hypomyelination. This pattern has already been described by La Piana et al. (2016). Regarding the MRI abnormalities involving the superior cerebellar peduncles, we thank the authors for this observation. We went back to our atypical cases published in 2016 and found 4/8 cases with this same finding. We therefore suggest that this MRI characteristic is not mutation-specific as the authors hypothesized, but rather is part of the MRI pattern seen in atypical POLR3-related disorders. Regarding the homozygous c.1771-7C>G variant, it would have been useful to have the complete MRI features of these patients. This mutation seems to be associated with a very different clinical and, we would assume, MRI phenotype, which appears to be similar to what has been previously reported (Azmanov et al., 2016). Finally, we believe that it is extremely important to review the brain MRI of all patients with ataxia and HSP because the presence of white matter abnormalities can be a major clue to the diagnosis and lead to a significant change in classification of the suspected diseases. In addition to these clinical considerations, our genetic data suggest that the c.1909+22G>A variant (rs191875469) is unlikely to be a major cause of HSP and ataxia. Our group first reported this variant in 2016; however, its pathogenicity could not be fully resolved at the time as not enough material was available to perform the necessary experiments (La Piana et al., 2016). With the work by Minnerop et al. (2017), it now appears clear that the c.1909+22G>A variant is indeed pathogenic. However, our genetic data do not support a role for this variant in large cohorts of HSP and ataxia. We examined exome-sequencing data from 745 individuals from 492 families with HSP and ataxia. The average coverage of POLR3A across all samples was >100×, with 100% of the nucleotides covered with >10×. Among 257 families with HSP, the c.1909+22G>A variant was identified in three families. However, in none of them it seemed to be disease-related. One large family had an autosomal dominant pattern of inheritance, which did not fit the recessive model of POLR3A-related disorders. Furthermore, the c.1909+22G>A variant did not segregate with the eight affected individuals that were sequenced in this family. In two other families with only one patient in each, the two patients were heterozygous carriers of the c.1909+22G>A variant but did not carry any other POLR3A mutation. However, we still cannot rule out structural variants or large copy number variations in POLR3A that cannot be detected in exome sequencing. In 135 families with ataxia, which included 170 individuals, the c.1909+22G>A variant was not identified at all. The allele frequency of this variant in our index cases was 0.33%, very similar to the control frequencies reported by Minnerop et al. (2017) (0.38% and 0.35%). In conclusion, we would like to reiterate the importance of classifying patients with neurodegenerative disorders by combining fine clinical phenotyping and MRI features, as it can be of great help to target the investigations. Regarding the cohort reported by Minnerop et al. (2017), we would first recommend a thorough expert review of the brain MRI of all patients. We would hypothesize that several, if not all cases, would probably be categorized as POLR3-related disorders rather than HSP or ataxia. The genetic evaluation of the potentially non-POLR3-related cases (if any) could be completed by whole exome or genome sequencing to identify another genetic aetiology. We would also suggest looking for large deletions or duplications in patients with a compatible phenotype to find any other disease-causing variant. The authors are grateful to the patients and their families for their participation. We also wish to acknowledge the McGill University and Génome Québec Innovation Centre for use of their high throughput sequencing platform. This work was done as a part of a Canadian collaboration to study HSP (CanHSP). This study was supported by grants from the CIHR (201610PJT- 377869 and MOP-G2-341146-159133-BRIDG), the Fondation Lueur d’Espoir pour Ayden, the Fondation les Amis d’Elliot and the Réseau de Médecine Génétique Appliquée. This study was funded by CIHR Emerging Team Grant, in collaboration with the Canadian Organization for Rare Disorders (CORD), grant number RN127580 – 260005. G.A.R. holds a Canada Research Chair in Genetics of the Nervous System and the Wilder Penfield Chair in Neurosciences. G.B. has received a Research Scholar Junior 1 award from the Fonds de Recherche du Québec en Santé (FRQS) (2012-2016) and the New Investigator Salary Award from the Canadian Institutes of Health Research (2017-2022). M.T. has received a post-doctoral fellowship from the CIHR. O.S. is supported by the Toupin Foundation, U of Alberta.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0120.004
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.250
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations22
Published2017
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