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Novel genomic insertion–deletion in <i>MLH1</i>: possible mechanistic role for non‐homologous end‐joining DNA repair

2005· article· en· W1947034214 on OpenAlexafffund
S McVety, Rami Younan, L Li, P.H. Gordon, Nancy Wong, William D. Foulkes, George Chong

Bibliographic record

VenueClinical Genetics · 2005
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCancer Research Society
KeywordsBiologyGeneticsMLH1MSH2DNA mismatch repairNon-allelic homologous recombinationHomologous recombinationMutationMolecular biologyExonAlu elementInsertionGeneDNA repairGenetic recombinationGenomeRecombinationHuman genome

Abstract

fetched live from OpenAlex

Hereditary non-polyposis colorectal cancer (HNPCC) is an inherited cancer syndrome caused by a defect in the mismatch repair pathway. The majority of HNPCC mutations have been detected in MLH1 and MSH2. Most reported mutations are substitutions, small insertions and deletions, but standard methods of mutation analysis do not detect large rearrangements. It is now established that large deletions, insertions and rearrangements account for a significant proportion of MLH1 and MSH2 mutations. We report an unusual rearrangement resulting in the deletion of exons 6, 7 and 8 of MLH1, with the retention of part of intron 6 and insertions of two nucleotides each flanking the retained sequence. The 349-bp-retained sequence is made up of two closely spaced Alu sequences. The mutation was initially detected by protein truncation test and cDNA sequencing. Multiplex ligation-dependent probe amplification confirmed the deletion of three exons. PCR and sequencing were used to characterize the breakpoint. Despite the high density of Alu elements in MLH1, there is no homology at the deletion breakpoints or insertion junctions in this case to suggest that homologous recombination has occurred. We propose a mechanism involving non-homologous end joining to explain the occurrence of this complex deletion.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.053
GPT teacher head0.353
Teacher spread0.300 · 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 designBench or experimental
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

Citations8
Published2005
Admission routes2
Has abstractyes

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