Novel heterozygous <i>NFKB1</i> mutation—variable penetrance in a family cohort
Bibliographic record
Abstract
Background: Common variable immunodeficiency (CVID) is a term used to define a heterogeneous group of patients who commonly have hypogammaglobulinemia and variable degrees of modest T cell dysfunction. Recent advances made in next generation sequencing technologies have accelerated the identification of CVID disease-causing genes, including NFKB1, a component of the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathway. Objective: We sought to identify the genetic defect in a 3-generation family of patients with CVID who presented with cytopenias, eczema, and recurrent sinopulmonary infections. Methods: Whole exome sequencing and Sanger confirmation was performed, and a combination of molecular and cellular techniques used to assess the variant impact on B and T cell function. Results: A novel heterozygous frameshift mutation in NFKB1, encoding the transcriptional regulator protein p50/p105, was identified. This resulted in c.1584dupG (p.M528fs). We demonstrate that c.1584dupG is a loss-of-function variant, responsible for reduced p105/p50 protein expression in affected individuals as well as variable increased CD21low B cell numbers. Conclusion: This novel mutation affecting NFKB1 causes a CVID phenotype with variable clinical manifestations. Given the wide spectrum of age in this kindred, this may reflect diversity of phenotype expression, or more probably, age-related expression of typical features. Statement of novelty: We report here a novel loss-of-function frameshift mutation in NFKB1.
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 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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".