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Get Free AccessBackground Cerebral vein thrombosis (CVT) is a rare, life-threatening disease affecting one adult per 100,000 per year. Genetic risk factors are deficiencies of the natural anticoagulant proteins antithrombin, protein C, protein S or single nucleotide polymorphisms such as factor V Leiden and prothrombin 20210A. In 20% of patients, the cause of CVT remains unknown. Aim To identify novel genetic risk factors for CVT using targeted next-generation DNA sequencing (NGS). Methods We investigated 171 CVT patients and 298 healthy controls. Patients were selected using the following criteria: objective diagnosis of CVT, no active cancer. We performed targeted NGS analysis of the protein-coding regions of 734 candidate genes related to hemostasis and inflammation, 150 ancestry informative markers and 28 thrombosis-associated variants. Results We identified 3723 common and low frequency variants with minor allele frequency (MAF) >1% in 590 genes. Single variant association testing using logistic regression analysis identified rs8176719 insertion/deletion (indel) variant in the ABO gene associated with CVT (age and sex adjusted OR 2.03; 95% CI 1.52–2.73; P = 2.07 × 10−6; Bonferroni P = 0.008). In addition, we identified 8839 rare variants (MAF ≤ 1%) in 723 genes. Gene-based association analysis of these rare variants using a burden test revealed only a tentative association of non-coding variants located in the F8 locus with CVT. Conclusion Targeted NGS identified a common indel variant rs8176719 in the ABO gene. Gene-based tests of association failed to reveal genomic loci with a cumulative burden of rare variants associated with CVT.
Marcin M. Gorski, Hugoline G. de Haan, Ilaria Mancini, Luca A. Lotta, Paolo Bucciarelli, Serena M. Passamonti, Andrea Cairo, Emanuela Pappalardo, Astrid van Hylckama Vlieg, Ida Martinelli, Frits R. Rosendaal, Flora Peyvandi (2018). Next-generation DNA sequencing to identify novel genetic risk factors for cerebral vein thrombosis. Thrombosis Research, 169, pp. 76-81, DOI: 10.1016/j.thromres.2018.06.011.
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Type
Article
Year
2018
Authors
12
Datasets
0
Total Files
0
Language
English
Journal
Thrombosis Research
DOI
10.1016/j.thromres.2018.06.011
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