Associated Papers
Proteomic analysis indicates lower abundance of platelet α-granule proteins in Glanzmann thrombasthenia.
Zivkovic M et al.
Journal of Thrombosis and Haemostasis : Jth, 2025
VarMeter2: An enhanced structure-based method for predicting pathogenic missense variants through Mahalanobis distance.
Ohno S et al.
Computational and Structural Biotechnology Journal, 2025
40160862 (PubMed )
Supplement: mmc2.xlsx › Sheet1
GoldVariants, a resource for sharing rare genetic variants detected in bleeding, thrombotic, and platelet disorders: Communication from the ISTH SSC Subcommittee on Genomics in Thrombosis and Hemostasis.
Megy K et al.
Journal of Thrombosis and Haemostasis : Jth, 2021
34355501 (PubMed )
Supplement: JTH-19-2612-s004.xlsx › ALL
Inherited platelet diseases with normal platelet count: phenotypes, genotypes and diagnostic strategy.
Nurden P et al.
Haematologica, 2021
Glanzmann Thrombasthenia: Perspectives from Clinical Practice on Accurate Diagnosis and Optimal Treatment Strategies.
Mathews N et al.
Journal of Blood Medicine, 2021
[Molecular analysis of gene mutations in eight patients with Glanzmann's thrombasthenia].
Miao LZ et al.
Zhonghua Yi Xue Za Zhi, 2018
ITGA2B and ITGB3 gene mutations associated with Glanzmann thrombasthenia.
Nurden AT et al.
Platelets, 2018
Glanzmann thrombasthenia: an update.
Franchini M et al.
Clinica Chimica Acta; International Journal of Clinical Chemistry, 2010
Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases.
Ryu GM et al.
Nucleic Acids Research, 2009
19139070 (PubMed )
Supplement: gkn1008_nar-01723-s-2008-File009.xls › TypeII_
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