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Record W1983469171 · doi:10.1089/10906570260471868

An Intronic Polymorphism of the <i>hMLH1</i> Gene Contributes Toward Incomplete Genetic Testing for HNPCC

2002· article· en· W1983469171 on OpenAlexafffund
Susan E. Andrew, Darcy Whiteside, Carolyn H. Buzin, Cheryl R. Greenberg, Elizabeth Spriggs

Bibliographic record

VenueGenetic Testing · 2002
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsUniversity of ManitobaUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsGeneticsBiologyGermline mutationAlleleExonGermlineGeneMutationPrimer (cosmetics)

Abstract

fetched live from OpenAlex

Hereditary non-polyposis colorectal cancer (HNPCC) is a common hereditary cancer. Genetic testing is complicated by the multiple DNA mismatch repair genes that underlie the disorder. Many suspected HNPCC families have no germ-line mutation identified. We reassessed an unusual family that appeared to have 2 individuals homozygous for a germline mutation within exon 1 of the hMLH1 gene. A few rare individuals with two inherited mutations in one of the mismatch repair genes have been reported and appear to have a distinct clinical appearance. However, there were no clinical features in the family discussed here that were consistent with constitutive lack of hMLH1. Redesigning the intronic primers for exon 1 identified a common polymorphism located within the original intronic primer site. The polymorphism prevented amplification of the wild-type allele, giving the erroneous appearance of homozygous inheritance of the mutated allele. Likewise, common intronic polymorphisms, if located within primer sequences on the chromosome harboring the HNPCC germ-line mutation could restrict amplification to only the wild-type allele, which may contribute significantly to the low success rate of identifying mutations in HNPCC families.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.071
GPT teacher head0.269
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2002
Admission routes2
Has abstractyes

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