Genetic Loci Associated with Platelet Traits and Platelet Disorders
Bibliographic record
Abstract
Genetic investigations have led to important advances in our knowledge of genes, proteins, and microRNA that influence circulating platelet counts, platelet size, and function. The application of genome-wide association studies (GWAS) to platelet traits has identified multiple loci with a significant association to platelet number, size, and function in aggregation and granule secretion assays. Moreover, the genes altered by disease-causing mutations have now been identified for several platelet disorders, including X-linked recessive, autosomal dominant, and autosomal recessive platelet disorders. Some mutations that cause inherited platelet disorders involve genes that GWAS have associated to platelet traits. Although disease-causing mutations in many rare and syndromic causes of platelet disorders have now been characterized, the genetic mutations that cause common inherited platelet disorders, and impair platelet aggregation and granule secretion, are largely unknown. This review summarizes current knowledge on the genetic loci that influence platelet traits, including the genes with well-characterized mutations in certain inherited platelet disorders.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".