Fibrinogen as a Pleiotropic Protein Causing Human Diseases: The Mutational Burden of Aα, Bβ, and γ Chains

作者: Elvezia Paraboschi , Stefano Duga , Rosanna Asselta

DOI: 10.3390/IJMS18122711

关键词:

摘要: Fibrinogen is a highly pleiotropic protein that involved in the final step of coagulation cascade, wound healing, inflammation, and angiogenesis. Heterozygous mutations Aα, Bβ, or γ fibrinogen-chain genes (FGA, FGB, FGG) have been described as being responsible for fibrinogen deficiencies (hypofibrinogenemia, hypo-dysfibrinogenemia, dysfibrinogenemia) more rare conditions, such storage disease hereditary renal amyloidosis. Instead, biallelic associated with afibrinogenemia/severe hypofibrinogenemia, i.e., severest forms deficiency, affecting approximately 1-2 cases per million people. However, "true" prevalence these conditions on global scale currently not available. Here, we defined mutational burden FGA, FGG genes, estimated inherited disorders through systematic analysis exome/genome data from ~140,000 individuals belonging to genome Aggregation Database. Our showed world-wide recessively-inherited could be 10-fold higher than reported so far (prevalence rates vary 1 10⁶ East Asians 24.5 non-Finnish Europeans). The autosomal-dominant was ~11 1000 individuals, heterozygous carriers present at frequency varying 3 every Finns, 100 among Europeans Africans/African Americans. also allowed identification recurrent (i.e., FGG-p.Ala108Gly, FGG-Thr47Ile) ethnic-specific (e.g., FGB-p.Gly103Arg Admixed Americans, FGG-p.Ser245Phe Americans).

参考文章(59)
Stephen O. Brennan, Andrew P. Fellowes, James M. Faed, Peter M. George, Hypofibrinogenemia in an individual with 2 coding (γ82 A→G and Bβ235 P→L) and 2 noncoding mutations Blood. ,vol. 95, pp. 1709- 1713 ,(2000) , 10.1182/BLOOD.V95.5.1709.005K04_1709_1713
, C-Reactive Protein, Fibrinogen, and Cardiovascular Disease Prediction The New England Journal of Medicine. ,vol. 367, pp. 1310- 1320 ,(2012) , 10.1056/NEJMOA1107477
Peter D. Stenson, Edward V. Ball, Matthew Mort, Andrew D. Phillips, Katy Shaw, David N. Cooper, The Human Gene Mutation Database (HGMD) and its exploitation in the fields of personalized genomics and molecular evolution. Current protocols in human genetics. ,vol. 39, ,(2012) , 10.1002/0471250953.BI0113S39
R. Asselta, M. Robusto, P. Braidotti, F. Peyvandi, S. Nastasio, L. D'Antiga, V. N. Perisic, G. Maggiore, S. Caccia, S. Duga, Hepatic fibrinogen storage disease: identification of two novel mutations (p.Asp316Asn, fibrinogen Pisa and p.Gly366Ser, fibrinogen Beograd) impacting on the fibrinogen γ-module. Journal of Thrombosis and Haemostasis. ,vol. 13, pp. 1459- 1467 ,(2015) , 10.1111/JTH.13021
A. Casini, C. Sokollik, S. W. Lukowski, E. Lurz, C. Rieubland, P. de Moerloose, M. Neerman-Arbez, Hypofibrinogenemia and liver disease: A new case of Aguadilla fibrinogen and review of the literature Haemophilia. ,vol. 21, pp. 820- 827 ,(2015) , 10.1111/HAE.12719
Samar Roy, Angie Sun, Colvin Redman, In VitroAssembly of the Component Chains of Fibrinogen Requires Endoplasmic Reticulum Factors Journal of Biological Chemistry. ,vol. 271, pp. 24544- 24550 ,(1996) , 10.1074/JBC.271.40.24544
Marguerite Neerman-Arbez, Ariane Honsberger, Stylianos E. Antonarakis, Michael A. Morris, Deletion of the fibrogen alpha-chain gene (FGA) causes congenital afibrogenemia Journal of Clinical Investigation. ,vol. 103, pp. 215- 218 ,(1999) , 10.1172/JCI5471
Nataly P. Podolnikova, Sergiy Yakovlev, Valentin P. Yakubenko, Xu Wang, Oleg V. Gorkun, Tatiana P. Ugarova, The Interaction of Integrin αIIbβ3 with Fibrin Occurs through Multiple Binding Sites in the αIIb β-Propeller Domain Journal of Biological Chemistry. ,vol. 289, pp. 2371- 2383 ,(2014) , 10.1074/JBC.M113.518126
Xueqiu Jian, Eric Boerwinkle, Xiaoming Liu, In silico tools for splicing defect prediction: a survey from the viewpoint of end users. Genetics in Medicine. ,vol. 16, pp. 497- 503 ,(2014) , 10.1038/GIM.2013.176
Prateek Kumar, Steven Henikoff, Pauline C Ng, Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nature Protocols. ,vol. 4, pp. 1073- 1081 ,(2009) , 10.1038/NPROT.2009.86