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Record W4392458985 · doi:10.1038/s44276-024-00045-x

Founder pathogenic variants in colorectal neoplasia susceptibility genes in Ashkenazi Jews undergoing colonoscopy

2024· article· en· W4392458985 on OpenAlexafffund
Thibaut Matis, Céline Domecq, Nancy Hamel, Ester Castellsagué, Adriana López‐Doriga, Stephen Marotta, Peter Zauber, William D. Foulkes

Bibliographic record

VenueBJC Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsJewish General HospitalMcGill UniversityMcGill University Health Centre
FundersCanadian Institutes of Health Research
KeywordsColonoscopyColorectal cancerGeneMedicineGeneticsBiologyInternal medicineCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Colorectal neoplasia is one of the most common tumors affecting Western populations. METHODS: In this study we used a custom amplicon sequencing platform and an in-house bioinformatic pipeline to study constitutional DNA from two different case series of Ashkenazi Jews undergoing colonoscopy (n = 765). The first series all had pathologically confirmed colorectal adenomas and/or carcinoma. The second series consisted of persons who had undergone a colonoscopy within the five years prior to ascertainment, regardless of findings. Ninety-one percent of all patients were asymptomatic at the time of colonoscopy. RESULTS: In the first group (n = 438), we identified 65 founder variants (56 in APC, 2 in GREM1, 3 in MSH2 and 4 in BLM). In the second group (n = 327), the findings were 30, nothing, 1 and 1, respectively, as well as 2 MSH6 variants. CONCLUSIONS: Overall, we found that 10 to 15% of Ashkenazi Jewish persons undergoing colonoscopy harbor variants of interest in colorectal and/or polyposis predisposition. This includes pathogenic variants in MSH6, which is associated with colorectal cancer but not with polyposis. We identified no pathogenic variants in more recently discovered polyposis predisposition genes (POLE, POLD1 or NTHL1), rendering the presence of such founder variants rare.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.298
Teacher spread0.280 · 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
Published2024
Admission routes2
Has abstractyes

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