Influence of the Variable Number of Tandem Repeat and Kozak Sequence Polymorphisms in Platelet GPIbα and the C807t α2 Integrin Polymorphism in Type 1 von Willebrand Disease.
Bibliographic record
Abstract
Abstract Initial adhesion of platelets to the injured vessel wall involves binding of the glycoprotein (GP)Ib-IX-V complex and integrin α2β1 to von Willebrand factor (VWF) and collagen, respectively, in the subendothelium. Polymorphisms have been described in the GPIbα and α2 genes that change the expression of these proteins or alter their configuration such that the efficiency of platelet adhesion is changed. The variable number of tandem repeat (VNTR) size polymorphism of GPIbα may extend the VWF binding domain at variable lengths above the platelet membrane, with variants A, B, C and D having 4, 3, 2 and 1 repeats, respectively; a polymorphism in the Kozak translation consensus sequence for GPIbα appears to predict receptor density. 3 haplotypes of α2 involving C807T have been correlated with α2β1 expression levels. We investigated these polymorphisms in the GPIbα and α2 integrin genes to evaluate the hypothesis that they influence the efficiency of platelet adhesion in the context of the inherited bleeding disorder, von Willebrand disease (VWD). The study population comprised 47 patients with type 1 VWD and 128 controls. Polymorphism genotyping was performed using restriction enzyme digest analysis of genomic DNA. Frequencies of the GPIbα VNTR alleles were: B=0.05, C=0.81, D=0.14 in the type 1 VWD group and B=0.11, C=0.80, D=0.08 in the controls. These frequencies were not significantly different between the 2 study groups. Genotype frequencies at the VNTR locus were: B/B=0.0, B/C=0.09, B/D=0.02, C/C=0.66, C/D=0.21, D/D=0.02 in the type 1 VWD group and B/B=0.0, B/C=0.20, B/D=0.02, C/C=0.63, C/D=0.13, D/D=0.01 in the controls (P=0.31). C and T Kozak allele frequencies were 0.12 and 0.88, respectively, in the type 1 VWD group and 0.08 and 0.91, respectively, in the controls. These allele frequencies were not significantly different between the 2 groups. Genotype frequencies were: C/C=0.02, C/T=0.20, T/T=0.78 in the type 1 VWD group and C/C=0.01, C/T=0.16, T/T=0.84 in the controls (P=0.61). Frequencies of the α2 alleles 1, 2 and 3 were: 1=0.38, 2=0.47, 3=0.15 in the type 1 VWD group, and 1=0.39, 2=0.50, 3=0.11 in the controls; genotype frequencies were 1/1=0.07, 1/2=0.48, 1/3=0.15, 2/2=0.17, 2/3=0.11, 3/3=0.02 in the type 1 VWD group and 1/1=0.15, 1/2=0.38, 1/3=0.11, 2/2=0.26, 2/3=0.10, 3/3=0.01 in the controls. Neither the allele frequencies nor the genotype distributions at the α2 integrin locus were significantly different between the VWD and control groups. In addition, allele frequencies and genotype distributions at all 3 polymorphic sites were similar to those for previously published controls. Thus, we did not observe any associations between the diagnosis of type 1 VWD and the GPIbα VNTR or Kozak polymorphisms or the α2 integrin polymorphism that determines α2β1 receptor density. Although our observation with the α2 integrin polymorphism is in contrast with that of a recent report that the 807C haplotype is associated with increased bleeding severity scores in type 1 VWD (Kunicki et al., Blood, prepublished online June 29, 2004), our observation with the GPIbα Kozak polymorphism is in accord with this study. Finally, our finding of the 2nd-largest B VNTR allele in the type 1 VWD group at a frequency of ½ that in controls suggests that the lower levels of this larger form of the GPIbα receptor may contribute to an increased bleeding risk in the VWD population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".