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Record W4412438225 · doi:10.1016/j.gimo.2025.103445

Rare variant genetic landscape of familial chylomicronemia syndrome (FCS) in the United Kingdom

2025· article· en· W4412438225 on OpenAlex
Bilal Bashir, Natalie Forrester, Paul Downie, Sarah Marsh, C. E. Dent, Anthony S. Wierzbicki, Charlotte Dawson, Jonathan Schofield, Fiona Jenkinson, Michael Mansfield, D. Datta, Hannah Delaney, Yee Teoh, Paul Hamilton, Jaimini Cegla, Maryam Ferdousi, Anoushka Kamath, Pankaj Gupta, Ahai Luvai, Dawn O’Sullivan, Deanna Mamood, Jian Wang, Paul N. Durrington, Robert A. Hegele, Handrean Soran

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGenetics in Medicine Open · 2025
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsWestern UniversitySt. Thomas Hospital
FundersManchester Biomedical Research CentreNational Institute for Health and Care Research
KeywordsKingdomMedicineGeneticsGeographyBiology

Abstract

fetched live from OpenAlex

Purpose: Familial chylomicronemia syndrome (FCS) is a rare autosomal recessive disorder. This study aimed to analyze the genotype distribution of FCS-causing genes in the United Kingdom. Methods: Data were anonymously collated from 2 genetic testing laboratories providing national genetic diagnosis services for severe hypertriglyceridemia in the United Kingdom. Results: , were predominantly observed in non-European FCS individuals. Conclusion: FCS-causing genes. It also displays a significant regional and ethnic variations.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.032
GPT teacher head0.323
Teacher spread0.291 · 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