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Record W2036220202 · doi:10.1136/jmg.2010.081216

Germline <i>DICER1</i> mutations and familial cystic nephroma

2010· article· en· W2036220202 on OpenAlexafffund
Amin Bahubeshi, Nebıl Bal, Thomas Rio Frio, Nancy Hamel, Carly Pouchet, Ahmet Yılmaz, Dorothée Bouron‐Dal Soglio, Gretchen M. Williams, M Tischkowitz, John R. Priest, William D. Foulkes

Bibliographic record

VenueJournal of Medical Genetics · 2010
Typearticle
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineMcGill University Health CentreMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsGermlineGermline mutationGeneticsMutationBiologyCancer researchGene

Abstract

fetched live from OpenAlex

BACKGROUND: Multilocular cystic nephroma (CN) is a benign kidney tumour and is part of a family of kidney neoplasms including cystic partially differentiated nephroblastoma and Wilms tumour (WT). CN is rarely familial or bilateral, but it occurs in about 10% of families where pleuropulmonary blastoma (PPB) is present. Recently, germline mutations in DICER1 were found in familial PPB. OBJECTIVE: To search for DICER1 mutations in two families with familial CN; PPB was present in one family. Additionally, to test germline DNA from 50 children with sporadic WT for DICER1 mutations. RESULTS: Both families with multiple CN were found to have mutations in DICER1 leading to premature stop codons, predicted to result in loss of the ribonuclease and dsRNA binding domains. These domains are essential to the function of DICER1. No germline mutations were found in any of the 50 children who had developed WT. CONCLUSION: It has been established that DICER1 mutations cause familial CN and may be implicated in bilateral CN. No germline mutations were found in the patients with WT, suggesting that DICER1 mutations are unlikely to have a major role in the aetiology of sporadic WT. These results provide further evidence implicating miRNA dysregulation in tumourigenesis.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.001
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 head0.011
GPT teacher head0.300
Teacher spread0.289 · 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 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

Citations124
Published2010
Admission routes2
Has abstractyes

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