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Record W7113183691

Elucidating the genetic bases of selected rare disorders in consanguineous families

2022· article· W7113183691 on OpenAlexaboutno aff

Bibliographic record

VenueeCommons - AKU (Aga Khan University) · 2022
Typearticle
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsDisease gene identificationConsanguinityExome sequencingGenetic heterogeneityPopulationDiseaseGeneRare diseaseHereditary Diseases
DOInot available

Abstract

fetched live from OpenAlex

Rare diseases (RDs) are often severe clinical conditions that affect a much smaller percentage of the general population compared to other diseases. According to National Rare Diseases Registry System (NRDRS), 300 million people are significantly impacted by about 7000-10,000 rare disorders globally. Consanguineous marriages are strongly rooted social trend among 1/5th of the global population which allows the likelihood of transmitting mutated gene and imposed anticipated health risk to their offspring. In this study, Whole Exome Sequencing (WES) was performed to reveal the underlying genetic cause of three consanguineous families with rare genetic conditions. WES and subsequent segregation analysis identified 4 novel variants in three consanguineous Pakistani families segregating with 3 different types of autosomal recessive disorders. Various pathogenicity predicting tools were used to assess the pathogenicity of the identified variants. In family1, a novel homozygous missense variant (c. 1234 G>T) in BBS12 gene is considered as aplausible cause of Bardet Biedl Syndrome (BBS) phenotype however, another novel variant (c. 239 C>T) in USP53 gene is also segregating within pedigree. Bardet-Biedl syndrome (BBS) is an autosomal recessive rare genetic condition characterized by a heterogeneous clinical features, including rod-cone dystrophy, polydactyly, obesity, genital abnormalities, renal defects, and learning. 26 genes have been mapped till date for the disease that shows variable expressivity. A novel homozygous nonsense variant (c. 1201 C>U) in SACS gene associated with Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay disease was identified in family 2. The disease is associated with progressive degeneration of the cerebellum and spinal cord. More than 300 variants have been discovered in the SACS gene around the world. A novel Missense variant (c. 729G>A) in GPT2 gene causing neurodevelopmental disorder with spastic paraplegia and microcephaly (NEDSPM) in family 3. NEDSPM is an autosomal recessive neurologic condition characterized by delayed psychomotor development, including delayed walking, moderately to severely impaired intellectual development, and poor or absent speech. Around 19 variants have been identified in GPT2 gene. The findings of current study not only expand the clinical and genetic spectra of identified genes but highlight the importance of next generation sequencing in heterogeneous rare disorders. Identification of disease-causing genetic variants will not only standardize the disease prevention by genetic counselling, cascade and prenatal screening but will provide better understanding of underlying disease mechanism and facilitate development of precise therapeutic interventions in future.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.179
Teacher spread0.175 · 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 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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