Germline and somatic variants in <i>DNMT3A</i> and other clonal haematopoiesis of indeterminate potential genes contribute to pulmonary arterial hypertension
Bibliographic record
Abstract
BACKGROUND AND AIMS: Multiple germline gene variants promote familial and idiopathic pulmonary arterial hypertension (PAH); however, none are consistently identified in associated PAH with connective tissue disease (APAH-CTD). Moreover, the role of somatic variants in genes mediating clonal haematopoiesis of indeterminate potential (CHIP) in PAH is unknown. Here, somatic and germline DNMT3A variants and CHIP gene variants in PAH were evaluated. METHODS: Exome sequencing (ES) was compared between PAH Biobank participants (n = 1832 European ancestry/2572 total), vs. gnomAD controls (7509 European ancestry/141 456 total). Subsequently, targeted panel sequencing (TPS) of 22 CHIP genes, including DNMT3A, was performed in PAH (n = 1659) vs. controls (n = 3644). Somatic CHIP variants in the UK Biobank using ES (controls = 448 239; PAH = 2559) were also assessed. DNMT3A mRNA expression was measured in peripheral blood mononuclear cells (PBMCs) of patients with scleroderma APAH-CTD (n = 50), idiopathic PAH (n = 30), scleroderma without PAH (n = 19), and healthy controls (n = 41). Hemodynamic were evaluated in haematopoietic Dnmt3a-knockout mice. RESULTS: Predicted deleterious germline DNMT3A variants were increased in subjects of European ancestry (6/1832) vs. controls (6/7509) (relative risk [RR] = 4.1, P = .018). In the entire PAH Biobank cohort (n = 2572), DNMT3A germline and somatic variants were further enriched (PAH: 1.28% vs. controls: .43%, P = 1.65 × 10-10). Eight DNMT3A mutations (.39%) were likely germline (female/male: 7/1) and 25 (.82%) likely somatic (female/male: 21/4), including 13/33 APAH-CTD participants. TPS identified CHIP in 242 PAH subjects (48% DNMT3A). DNMT3A- and all-CHIP variants were associated with PAH after correcting for age, sex, and age-CHIP interactions (odds ratio [OR]: 25.44, P = 4.50 × 10-5; OR: 23.35, P = 2.87 × 10-8, respectively). In the UK Biobank, CHIP mutations were increased in PAH (PAH = 5.35% vs. Control = 3.45%, P ≤ .0001). DNMT3A was reduced in PAH-PBMCs (area under curve [AUC] = .82) (P < .0001). Haematopoietic Dnmt3a-knockout in mice caused inflammatory PAH, which was attenuated by IL-1β antibody therapy. CONCLUSIONS: Germline DNMT3A variants and somatic variants of DNMT3A and CHIP genes increase the risk of PAH, including APAH-CTD, promote inflammation, and constitute potential biomarkers and therapeutic targets.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".