A Large Mennonite Family with a Novel K570N TERT Gene Mutation: Association with a Clinical Spectrum of Bone Marrow Failure, Acute Myeloid Leukemia, and Acute Liver Failure.
Bibliographic record
Abstract
Abstract Mutations in telomere repair complex genes TERT (encoding telomerase reverse transcriptase) and TERC (telomerase RNA component) are associated with bone marrow failure, especially acquired aplastic anemia and dyskeratosis congenita. Low telomerase activity leads to short telomeres of leukocytes, predisposing highly proliferative tissues such as the bone marrow to early senescence and exhaustion of the stem cell compartment. Telomere repair gene mutations have been suggested to result in disease anticipation, defined as earlier and/or worsening clinical manifestations in successive generations. We have identified a six-generation pedigree in a large Mennonite family carrying a novel TERT mutation (K570N), which localizes in the catalytic domain with reverse transcriptase activity (RT domain). The index patient is a 26 year old male dairy farmer with a ten-year history of severe aplastic anemia (5% bone marrow cellularity) unresponsive to immunosuppression. A long history of hematologic diseases was well known and named in the family--the patient’s paternal great-great-grandmother had died of a severe blood disorder at age 65 years. However, the great-grandmother and the grandfather had never presented any hematological disease. The patient’s father had myelodysplastic syndrome at age 33 years, evolving to acute myeloid leukemia and death due to failure to recover blood counts after chemotherapy. One of the proband’s paternal aunts had aplastic anemia develop when she was a young woman and has been transfusion-independent for decades in response to chronic androgen therapy. A second proband’s paternal aunt underwent a liver transplant at age 20 for submassive hepatic necrosis with fibrosis. A third proband’s paternal aunt has macrocytosis only at age 47. Two sisters (ages 21 and 23) also have macrocytosis in the absence of other hematological abnormality, and two other sisters are healthy. Genetic analysis showed that TERT K570N mutation is present in the patient’s paternal (including grandfather, three aunts and two affected sisters) but not maternal relatives (making his father an obligatory carrier). The patient’s oldest of three sons, now age four years, has the mutation but is asymptomatic. There was no nail dystrophy, leukoplakia or skin hyperpigmentation in any of the TERT K570N carriers; although the index patient and some of his relatives showed early graying of hair, this characteristic did not track with the mutation. Telomere shortening of leukocytes, as measured by Flow-FISH, tracked to the mutation in three generations analyzed, being shortest in the proband and in his aunt with marrow failure. Mutagenized TERT vectors transfected into telomerase-deficient VA13 cell lines yielded no telomerase activity using the telomeric repeat amplification protocol (TRAP) assay, whereas when wild-type TERT vectors were co-transfected, telomerase activity was approximately half of wild-type transfected only, indicating haploinsufficiency as a mechanism of telomere shortening. Our results confirm the association between aplastic anemia and TERT mutations. The pattern of hematologic disease in this kindred does not support disease anticipation in TERT mutations. Most remarkably, there is a likely relationship between a telomerase gene mutation and hematological malignancy and severe liver disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".