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Record W2062411563 · doi:10.5339/qfarf.2013.biop-032

Using whole exome sequencing as a molecular diagnostic tool to identify disease-causing mutations in consanguineous families in Qatar

2013· article· en· W2062411563 on OpenAlexaffabout
Somayyeh Fahiminiya

Bibliographic record

VenueQatar Foundation Annual Research Forum Volume 2013 Issue 1 · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsMcGill University and Génome Québec Innovation Centre
Fundersnot available
KeywordsConsanguinityExome sequencingGeneticsDisease gene identificationBiologyExomeGenetic counselingDiseaseGenetic heterogeneityHuman geneticsDNA sequencingMolecular diagnosticsGeneMutationMedicinePhenotype

Abstract

fetched live from OpenAlex

Background: Whole exome sequencing (WES), which focuses on sequencing of protein-coding regions of human genome, has greatly improved the identification of causal mutations for diverse human genetic disorders in the past four years. We applied WES as a molecular diagnostic tool to identify disease-causing mutations in consanguineous families displaying autosomal recessive (AR) disorders in Qatar. AR diseases are usually severe and rare that occurs with higher rate in consanguineous families. In Qatar, like other Middle East countries, consanguineous marriage and endogamy are common (54%) that results in a higher incidence of several/new AR disorders where many of these disorders are yet to be defined and their causative genes are to be discovered. In order to decrease the overall socio-economic burden of such diseases in the society and development of specific testing tools that will be helpful with the molecular diagnosis, parental testing, carrier identification, and informed genetic counseling, we must first discover the causative genes of these recessive disorders. Methods: All of the experimental (whole exome library preparation, capturing and sequencing) and bioinformatics analyses were performed according to our well-established protocols at Genome Quebec Innovation Center, Montreal, Canada. Results: We performed WES on several consanguineous families, with one or more affected children, where the result of initial molecular screening of known or potential candidate genes was negative. Because of unaffected status of parents and their consanguinity, the mode of inheritance was considered to be autosomal recessive. We also tested de novo and X-linked mode of inheritance in families with one or only male affected child. Based on these assumptions, we identified the definitive damaging mutations for Hypophosphatemic rickets; Hurler syndrome; Glycogen storage disease; Dubowitz-like syndrome; Seckel syndrome; Geleophysic dysplasia; Limb-girdle muscular dystrophy; Multiple Fractures; Metachromatic Leukodystrophy; Immunodeficiency and Juvenile onset cataract. In addition, several candidate genes were identified in families with mental retardation (n=3); CNS anomaly (n=1); eye anomalies (n= 26); peripheral neuropathy (n=7); axonal peripheral neuropathy (n=3) and oro-facio-digital syndrome (n=2), that have been considered for functional follow-up investigations and further characterizations. Conclusion: Our study highlights the importance of using WES as molecular diagnostic approach for discovery pathogenic gene mutations compared to traditional molecular genetic testing. We showed that the WES was successful to identify causal mutations underlying phenotypically complex disorders in ~46% of our patients. The results of this study will help to establish population-specific diagnostic panels, and improve clinical diagnosis and patient management in the country.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.036
GPT teacher head0.377
Teacher spread0.340 · 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.

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".

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Citations0
Published2013
Admission routes2
Has abstractyes

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