CHIP is associated with cardiovascular disease in the UK Biobank
Bibliographic record
Abstract
Abstract Clonal hematopoiesis (CH) is a form of age-related somatic mosaicism. CH encompasses both clonal events with recognizable leukemic driver mutations, such as CH of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs), as well as clonal states without clear driver mutations. Stacey et al . identify cases of CH from whole genome sequencing (WGS) data in a subset of 130,709 UK Biobank (UKB) participants and in 45,510 individuals from an Icelandic cohort. They report that CH is not associated with cardiovascular disease (CVD) and posit that the multiple prior CH studies did not fully account for smoking-related confounding. We find that the conclusion reached by Stacey et al . is specific to their particular CH definition which groups well-established and clinically meaningful CH subtypes together despite evidence from multiple previous reports that distinct forms of CH have distinct phenotypic consequences. We show that (1) the CHIP/ CVD association in the UK Biobank is not confounded by smoking and (2) CH subtypes which Stacey et al . have lumped together have heterogenous associations with CVD. We suggest that Stacey et al.’s failure to identify an association between CHIP and CVD is perhaps related to methodologic differences compared to prior reports.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".