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Abstract A024 A homozygous start-loss mutation in <i>TERF1</i> causes a syndrome associated with long telomeres

2024· article· en· W4402267908 on OpenAlexaffabout
Tanvi Anandampillai, Pekka Kannus, Yigal Dror, Irene Lara‐Corrales, Yiming Wang

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversity of AlbertaHospital for Sick Children
Fundersnot available
KeywordsTelomereMutationGeneticsBiologyMedicineGene

Abstract

fetched live from OpenAlex

Abstract Introduction The shelterin complex comprising TERF1, TERF2, TIN2, RAP1, TPP1 and POT1 is the main protein structure present on human telomeres. This complex shields chromosome ends from degradation, end-to-end fusions, and modulates the telomerase activity. In humans, the primary shelterin complex-related disease is dyskeratosis congenita, caused by pathogenic variants in TIN2. Here, we report on a patient who harbors homozygous start-loss variants in the TERF1 gene. This is the first reported case of a human living with the absence of TERF1. In mouse models, Terf1 deletion leads to embryonic lethality. Conditional knockout of Terf1 in mouse epithelial and hematopoietic cells led to skin lesions, bone marrow failure, increased cancer occurrence with shortening of telomere length, activation of DNA damage response, and senescence. The consequences of TERF1 deficiency in humans are unknown. Case Presentation and Results A 12-year-old girl was evaluated for skin hypo- and hyperpigmentation, melanonychia, microcephaly, lymphopenia, seizures, and mild speech delay. She was born at term to healthy, non-consanguineous parents of South Asian descent with an uneventful course of pregnancy and delivery. Between the ages of 5-10, she had three episodes of generalized tonic-clonic seizures with no recurrence afterwards. Her head circumference was less than the first percentile (-4.7 SD) with a normal Brain MRI. She had no family history of malignancy, bone marrow failure, dermatological conditions, or genetic disorders. Physical examination revealed hypo- and hyperpigmented macules and patches and multiple café-au-lait macules following the Blaschko line. There is melanonychia on the right big and third toes. A complete blood count test found decreased RBC and WBC counts. Flow cytometry revealed moderate but significantly decreased CD4+ and CD8+ T cell and B cell populations. Chromosomal microarray analysis and Bloom syndrome sister chromatid exchange tests were negative. A trio-whole exome sequencing identified a homozygous variant of uncertain significance, c.1A>G (p.Met1?) in TERF1, indicating a start-loss variant. The genomic sequence adjacent to this variant revealed no in-frame alternative start codons. Both parents were carriers of this variant. To our knowledge, there are no previously reported homozygous cases of TERF1 in the literature or on ClinVar. As her symptoms were consistent with a telomere biology disorder, her blood sample was sent for telomere length testing. Surprisingly, her telomere length was markedly increased and is greater than the 99th percentile across granulocytes, NK cells, and lymphocyte subpopulations. Conclusion To our knowledge, this is the first report of a human with homozygous TERF1 start-loss mutations. This case illustrates that TERF1 deficiency is not lethal in humans but may lead to telomere lengthening, dysfunctional hematopoiesis, and a potential risk of malignancies. This case also represents a unique opportunity to study the compensatory mechanisms that protect telomere integrity in the absence of TERF1. Citation Format: Tanvi Anandampillai, Peter Kannu, Yigal Dror, Irene Lara-Corrales, Yiming Wang. A homozygous start-loss mutation in TERF1 causes a syndrome associated with long telomeres [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr A024.

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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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.070
GPT teacher head0.391
Teacher spread0.321 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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