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Record W3213304273 · doi:10.1093/brain/awab395

High diagnostic rate of trio exome sequencing in consanguineous families with neurogenetic diseases

2021· article· en· W3213304273 on OpenAlexafffund
Semra Hız Kurul, Yavuz Oktay, Ana Töpf, Nóra Szabó, Serdal Güngör, Ahmet Yaramış, Ece Sönmezler, Leslie Matalonga, Uluç Yiş, Katherine Schon, Ida Paramonov, İpek Polat Kalafatcilar, Fei Gao, Aliz Rieger, Nur Arslan, Elmasnur Yilmaz, Burcu Ekinci, Pınar Edem, Mahmut Aslan, Bilge Özgör, Angela Lochmüller, Ashwati Nair, Emily O’Heir, Alysia Kern Lovgren, Reza Maroofian, Henry Houlden, Kiran Polavarapu, Andreas Roos, Juliane Müller, Denisa Hathazi, Patrick F. Chinnery, Steven Laurie, Sergi Beltrán, Hanns Lochmüller, Rita Horváth

Bibliographic record

VenueBrain · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsOttawa HospitalChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersStoneygate TrustNational Eye InstituteNational Heart, Lung, and Blood InstituteNIHR Cambridge Biomedical Research CentreMedical Research CouncilCanadian Institutes of Health ResearchAlzheimer’s SocietyTürkiye Bilimsel ve Teknolojik Araştırma KurumuCanada Research ChairsDepartment of Health and Social CareH2020 European Research CouncilTürkiye Bilimler AkademisiAtaxia UKLeverhulme TrustNational Institute for Health and Care ResearchMuscular Dystrophy CanadaLily FoundationEvelyn TrustCanada Foundation for InnovationNational Human Genome Research InstituteWellcome TrustAlzheimer's SocietyNewton Fund
KeywordsDisease gene identificationExome sequencingConsanguinityGeneticsGenetic counselingExomeDiseaseGenetic heterogeneityGenetic testingMedicineBiologyCohortCompound heterozygosityPopulationGenePhenotypePathology

Abstract

fetched live from OpenAlex

Consanguineous marriages have a prevalence rate of 24% in Turkey. These carry an increased risk of autosomal recessive genetic conditions, leading to severe disability or premature death, with a significant health and economic burden. A definitive molecular diagnosis could not be achieved in these children previously, as infrastructures and access to sophisticated diagnostic options were limited. We studied the cause of neurogenetic disease in 246 children from 190 consanguineous families recruited in three Turkish hospitals between 2016 and 2020. All patients underwent deep phenotyping and trio whole exome sequencing, and data were integrated in advanced international bioinformatics platforms. We detected causative variants in 119 known disease genes in 72% of families. Due to overlapping phenotypes 52% of the confirmed genetic diagnoses would have been missed on targeted diagnostic gene panels. Likely pathogenic variants in 27 novel genes in 14% of the families increased the diagnostic yield to 86%. Eighty-two per cent of causative variants (141/172) were homozygous, 11 of which were detected in genes previously only associated with autosomal dominant inheritance. Eight families carried two pathogenic variants in different disease genes. De novo (9.3%), X-linked recessive (5.2%) and compound heterozygous (3.5%) variants were less frequent compared to non-consanguineous populations. This cohort provided a unique opportunity to better understand the genetic characteristics of neurogenetic diseases in a consanguineous population. Contrary to what may be expected, causative variants were often not on the longest run of homozygosity and the diagnostic yield was lower in families with the highest degree of consanguinity, due to the high number of homozygous variants in these patients. Pathway analysis highlighted that protein synthesis/degradation defects and metabolic diseases are the most common pathways underlying paediatric neurogenetic disease. In our cohort 164 families (86%) received a diagnosis, enabling prevention of transmission and targeted treatments in 24 patients (10%). We generated an important body of genomic data with lasting impacts on the health and wellbeing of consanguineous families and economic benefit for the healthcare system in Turkey and elsewhere. We demonstrate that an untargeted next generation sequencing approach is far superior to a more targeted gene panel approach, and can be performed without specialized bioinformatics knowledge by clinicians using established pipelines in populations with high rates of consanguinity.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations34
Published2021
Admission routes2
Has abstractyes

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