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Record W1984709596 · doi:10.1093/brain/awu265

Mutations in the CHCHD10 gene are a common cause of familial amyotrophic lateral sclerosis

2014· letter· en· W1984709596 on OpenAlexaff
Janel O. Johnson, Shannon Glynn, J. Raphael Gibbs, Mike A. Nalls, Mario Sabatelli, Gabriella Restagno, Vivian E. Drory, Adriano Chiò, Ekaterina Rogaeva, Bryan J. Traynor

Bibliographic record

VenueBrain · 2014
Typeletter
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of Toronto
FundersNational Institute of Neurological Disorders and StrokeNational Institute on AgingNational Institutes of HealthMuscular Dystrophy AssociationJohns Hopkins UniversityCompagnia di San Paolo
KeywordsAmyotrophic lateral sclerosisGeneticsMutationGeneMedicineBiologyDiseasePathology

Abstract

fetched live from OpenAlex

Sir, A recent study by Bannwarth and colleagues has shown that variation in the CHCHD10 gene is a cause of familial amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) (Bannwarth et al., 2014). The study identified a c.176C > T (p.Ser59Leu, NM_213720.1) missense mutation in a multi-generational kindred. In the present study, we performed genome sequencing of four affected individuals from a large ALS family (USALS#5). This identified a G to T transversion at position c.44 (chr22:24,109,778, hg19) that segregated with disease within this pedigree and leads to a p.R15L amino acid change in exon two of the CHCHD10 mitochondrial protein. Previous attempts to identify the causative mutation in this family using an exome sequencing approach failed to identify this variant due to poor sequence coverage in this genomic region. The variant was not described as a human polymorphism in the Single Nucleotide Polymorphism (SNP) database (http://www.ncbi.nlm.nih.gov/SNP/, build 141) and was not found in 1158 control individuals of the Exome Sequencing Project (http://snp.gs.washington.edu/SeattleSeqAnnotation138/). To further assess the mutation burden in patients, we Sanger sequenced all exons of CHCHD10 in an additional series of 84 patients diagnosed with familial ALS according to the El Escorial criteria (Brooks, 1994). These samples did not carry the C9orf72 hexanucleotide repeat expansion or known mutations in ALS genes including SOD1, TARDBP, FUS, VCP, PFN1, UBQLN1, MATR3, SQSTM1, OPTN, and HNPNPA2B1 (Renton et al., 2014). The ethical review boards at each institution approved the study, and all participants provided informed consent. Our mutational screening of CHCHD10 identified the same p.R15L mutation discovered in the USALS#5 family in two additional familial ALS cases (www.coriell.org, ND10928 and ND11809). Analysis of genome-wide SNP chip data indicates that all six patients carrying the p.R15L variant share a 6.2 Mb haplotype across the gene. Our data demonstrate that mutations in CHCHD10 are a relatively common cause of familial ALS and that pathogenic variants are concentrated in exon 2. This represents the first time, to our knowledge, that genome sequencing has been applied to familial ALS. The primary advantage of this methodology is improved coverage of protein-coding regions of the genome, particularly in GC-rich regions that may not be effectively captured by the oligonucleotide baits that are central to exome sequencing. It is also noteworthy that patients in the pedigree reported by Bannwarth and colleagues had reliable evidence of mitochondrial myopathy. Two other ALS genes, VCP and MATR3, have been associated with clinical myopathy (Johnson et al., 2010, 2014), suggesting that muscle involvement may be more common in familial ALS than previously appreciated. DNA samples for this study were obtained in part from the National Institute of Neurological Disorders and Stroke (NINDS) repository at the Coriell Cell Repositories (http://www.coriell.org/). We thank the patients and research subjects who contributed samples for this study. This work was supported in part by the Intramural Research Programs of the US National Institutes of Health (NIH), National Institute on Ageing (Z01-AG000949-02) and NINDS. The work was also supported by the Packard Centre for ALS Research at Johns Hopkins, ALS Association, Muscular Dystrophy Association, Ontario Research Fund, Italian Health Ministry, Fondazione Vialli e Mauro Onlus, Federazione Italiana Giuoco Calcio, Compagnia di San Paolo, Adelis Foundation, European Community’s Health Seventh Framework Programme (FP7/2007-2013) under grant agreements 259867.

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)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.075
GPT teacher head0.311
Teacher spread0.236 · 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
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".

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Citations153
Published2014
Admission routes1
Has abstractyes

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