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Record W2801597931 · doi:10.3389/fped.2018.00131

The KOUNCIL Consortium: From Genetic Defects to Therapeutic Development for Nephronophthisis

2018· article· en· W2801597931 on OpenAlexaff
Kirsten Y. Renkema, Rachel H. Giles, Marc R. Liliën, Philip L. Beales, Ronald Roepman, Machteld M. Oud, Heleen H. Arts, Nine V.A.M. Knoers

Bibliographic record

VenueFrontiers in Pediatrics · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsMcMaster University
FundersNierstichtingNational Institute for Health and Care Research
KeywordsMedicineNephronophthisisGenetic diagnosisPediatricsIntensive care medicineGeneticsGenePhenotypeBiology

Abstract

fetched live from OpenAlex

Nephronophthisis (NPH) is the most common monogenic cause of renal failure in children. Treatment options are limited to dialysis and transplantation. Therapeutics to significantly delay or prevent end-stage renal disease (ESRD) in children are currently not available. In the Dutch-Anglo KOUNCIL (Kidney-Oriented UNderstanding of correcting CILiopathies) consortium, several groups and specialties united to perform scientific groundwork with the aim to develop genetic and therapeutic personalized care for NPH patients. At the start of this consortium, a genetic diagnosis for NPH was available for only 30-40% of patients, which improved to 50-60% during the course of the 4-year KOUNCIL project. Other major accomplishments of the consortium were (1) the establishment of a Dutch renal ciliopathy patient database with genotype and phenotype data; (2) composition of a proteomics-based integrated network of protein modules disrupted in NPH; (3) the development of non-invasive, urine-based assays that allow functional assessment of genomic variants in NPH and of therapeutic efficiency of drugs; and (4) chemical screening towards the identification of compounds that delay or prevent disease progression in NPH, which resulted in four potential medical interventions for NPH. In conclusion, the KOUNCIL consortium effectively channeled complementary approaches to broaden our understanding of NPH pathogenesis, resulted in 54 publications, improvement of genome diagnostics for NPH patients, awareness in the nephrology and clinical genetics communities for NPH, and new avenues for patient management.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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 designNot applicable
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

Citations4
Published2018
Admission routes1
Has abstractyes

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