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Record W2767754565 · doi:10.1177/2329048x17737638

Novel LRPPRC Mutation in a Boy With Mild Leigh Syndrome, French–Canadian Type Outside of Québec

2017· article· en· W2767754565 on OpenAlexaboutno aff
Velda X. Han, Teresa S. Tan, Furene S. Wang, S K Tay

Bibliographic record

VenueChild Neurology Open · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsLeigh diseaseExome sequencingMissense mutationMutationGeneticsMitochondrial DNACytochrome c oxidaseBiologyGeneMitochondrion

Abstract

fetched live from OpenAlex

BACKGROUND: Leigh syndrome, French-Canadian type is unique to patients from a genetic isolate in the Saguenay-Lac-Saint-Jean region of Québec. It has also been recently described in 10 patients with LRPPRC mutation outside of Québec. It is an autosomal recessive genetic disorder with fatal metabolic crisis and severe neurological morbidity in infancy caused by LRPPRC mutation. METHODS AND RESULTS: The authors report a boy with a novel LRPPRC compound heterozygous missense mutations c.3130C>T, c.3430C>T, and c.4078G>A found on whole-exome sequencing which correlated with isolated cytochrome c-oxidase deficiency found in skeletal muscle. CONCLUSION: LRPPRC mutation is a rare cause of cytochrome c-oxidase-deficient form of Leigh syndrome outside of Québec. Our patient broadens the spectrum of phenotypes of Leigh syndrome, French-Canadian type. LRPPRC mutation should be considered in children with early childhood neurodegenerative disorder, even in the absence of metabolic crisis. Early evaluation with whole-exome sequencing is useful for early diagnosis and for genetic counseling.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.632

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.252
Teacher spread0.233 · 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 designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2017
Admission routes1
Has abstractyes

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