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Enregistrement W2538780749 · doi:10.1182/blood.v114.22.454.454

Targeted Gene Sequencing to Identify Polymorphisms in the Protein C and EPCR Genes in Patients with Unprovoked Venous Thromboembolism.

2009· article· en· W2538780749 sur OpenAlexaff
Cynthia Wu, Dhruva J. Dwivedi, Wasifa Zarin, Zakhar Lysov, John S. Waye, Clive Kearon, Patricia Liaw

Notice bibliographique

RevueBlood · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueBlood Coagulation and Thrombosis Mechanisms
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésEndothelial protein C receptorProtein CExonBiologyGeneMedicineMolecular biologyImmunologyThrombinInternal medicineGenetics

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 454 Introduction: The protein C (PC) pathway plays a major role in inhibiting blood coagulation. In vivo, conversion of circulating PC to the anticoagulant enzyme activated protein C is augmented on vascular endothelium by the endothelial cell protein C receptor (EPCR). Current approaches to detect clinical PC abnormalities are based on in vitro assays of PC antigen and activity levels. However, these tests are limited by the fact that they do not detect how efficiently PC is activated by EPCR on the endothelial cell surface. We hypothesized that mutations of PC and EPCR exist that impair PC-EPCR binding, reduce physiological PC activity, and predispose to venous thromboembolism (VTE). Such abnormalties would not be detected by currently availabel PC assays. Objective: The purpose of this study was to sequence the PC and EPCR genes in patients with unprovoked VTE to detect mutations that are associated with impaired PC-EPCR binding and with VTE. We focused our DNA sequencing on the following regions: (1) exon 3 of protein C (which encodes for the Gla domain of PC, the region of PC that binds to EPCR) and (b) exons 2 and 3 of EPCR (which encodes the PC-binding domain of EPCR). We also sequenced the first 200 base pairs of exon 4 of EPCR to determine the frequency of the previously reported A3 haplotype which is associated with increased shedding of EPCR. Methods: Cases were 669 predominantly Caucasian patients with unprovoked VTE (ELATE study; age 57 ± 15). Controls were 75 predominantly Caucasian healthy volunteers (age 45 ± 13) and 288 Caucasian patients referred for hereditary hemochromatosis (HFE) testing (age 59 ± 12). The previously described single nucleotide polymorphism (SNP) at nucleotide A6936G of EPCR was used to determine frequency of the EPCR A3 “shedding” haplotype. PCR amplification followed by DNA sequencing was performed for all samples. DNA sequences were obtained for all of the above-mentioned exons and from portions of the flanking introns. Polymorphisms were verified by both forward- and reverse-strand DNA sequencing. Results: We identified five SNPs in the PC gene in the VTE cases, four of which are novel. The first was a C2896T missense mutation which results in an Arg to Cys substitution at position -1 of PC (the junction between the signal peptide and the Gla domain of PC). Two SNPs, C2923T and G2998A, result in Arg9Cys and Val34Met substitutions, respectively, in the Gla domain of PC. Two SNPs (C2633G; C2730T) were also found in intron 2 of PC, which flanks the exon that encodes for the Gla domain of PC. All of these five SNPs were found in 1 unique case each and none were found in the controls. Two novel SNPs were found in exon 3 of EPCR. Both are missense mutations, C6367T and G6589C, which result in Arg113Cys and Val187Leu substitutions, respectively. Both of these SNPs were found in 1 unique case each and neither were found in the controls. A third SNP, in intron 3 (A6668T), was found in 7 cases and in 2 controls. A single nucleotide deletion was also identified in one case in intron 3 (1 of 5 Gs starting at nucleotide 6738). We also observed that the EPCR A3 “shedding” haplotype occurs at a significantly higher frequency in the cases compared with controls (12.23% vs 7.16%; P=0.001). Conclusions: This is the first targeted DNA gene sequencing analysis of the PC and EPCR genes in a large population of patients with unprovoked VTE. Several novel SNPs were identified in VTE cases, but not controls, in domains of PC and EPCR that are critical for PC-EPCR binding suggesting that these polymorphisms may result in abnormal proteins that impair PC-EPCR binding and increase the risk for thrombosis. Future studies will examine impact of these mutations on PC and EPCR function. We also validated that the previously described A3 haplotype of EPCR occurs at a significantly higher frequency in patients with unprovoked VTE compared with controls. Disclosures: No relevant conflicts of interest to declare.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,253
Écart entre enseignants0,237 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2009
Routes d'admission1
Résumé présentoui

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