A Comprehensive Analysis of<i>MNG1</i>,<i>TCO1</i>,<i>fPTC</i>,<i>PTEN</i>,<i>TSHR</i>, and TRKA in Familial Nonmedullary Thyroid Cancer: Confirmation of Linkage to TCO1
Bibliographic record
Abstract
About 5% of nonmedullary thyroid cancer is familial. These familial nonmedullary thyroid cancer cases are characterized by an earlier age of onset, more aggressive phenotype, and in some families a high propensity to benign thyroid disease. Little is known about the genes conferring predisposition to nonmedullary thyroid cancer. Three loci have been identified through genetic linkage: MNG1 on 14q32, TCO1 on 19p13.2, and fPTC on 1p21. In addition to these putative genes, a number of loci represent candidate familial nonmedullary thyroid cancer predisposition genes by virtue of their involvement in sporadic disease (TRKA), their role in benign disease (TSHR), and because they underlie syndromes with a risk of nonmedullary thyroid cancer (PTEN). To evaluate the roles of MNG1, TCO1, fPTC, PTEN, TSHR, and TRKA in familial nonmedullary thyroid cancer, we have carried out a comprehensive mutation and linkage analysis of these genes in 22 families. One family was linked to chromosome 19q13.2, confirming that TCO1 underlies a subset of familial nonmedullary thyroid cancer. None of the families was linked to MNG1 or fPTC, and there was no evidence to support the roles of PTEN, TSHR, or TRKA. Familial nonmedullary thyroid cancer is an emerging clinical phenotype that is genetically heterogeneous, and none of the currently identified genes accounts for the majority of families.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".