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How common are single gene mutations as a cause for lacunar stroke? A targeted gene panel study
Rhea Y Y Tan1, Matthew Traylor2, Karyn Megy2
1From the Stroke Research Group, Department of Clinical Neurosciences (R.Y.Y.T., M.T., H.S.M.), Department of Haematology (K.M., D.D., S.V.V.D., O.S., R.P.M., W.H.O., S.G., K.D.), and Division of Respiratory Medicine, Department of Medicine (S.G.), University of Cambridge; and NIHR BioResource: Rare Diseases (K.M., S.V.V.D., O.S., R.P.M., W.H.O., S.G., H.S.M.), Biomedical Campus, Cambridge, UK. yyrt2@medschl.cam.ac.uk.
Objectives:
To determine the frequency of rare and pertinent disease-causing variants in small vessel disease (SVD)-associated genes (such as NOTCH3, HTRA1, COL4A1, COL4A2, FOXC1, TREX1, and GLA) in cerebral SVD, we performed targeted gene sequencing in 950 patients with younger-onset apparently sporadic SVD stroke using a targeted sequencing panel.
Methods:
We designed a high-throughput sequencing panel to identify variants in 15 genes (7 known SVD genes, 8 SVD-related disorder genes). The panel was used to screen a population of 950 patients with younger-onset (≤70 years) MRI-confirmed SVD stroke, recruited from stroke centers across the United Kingdom. Variants were filtered according to their frequency in control databases, predicted effect, presence in curated variant lists, and combined annotation dependent depletion scores. Whole genome sequencing and genotyping were performed on a subset of patients to provide a direct comparison of techniques. The frequency of known disease-causing and pertinent variants of uncertain significance was calculated.
Results:
We identified previously reported variants in 14 patients (8 cysteine-changing NOTCH3 variants in 11 patients, 2 HTRA1 variants in 2 patients, and 1 missense COL4A1 variant in 1 patient). In addition, we identified 29 variants of uncertain significance in 32 patients.
Conclusion:
Rare monogenic variants account for about 1.5% of younger onset lacunar stroke. Most are cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy variants, but the second most common gene affected is HTRA1. A high-throughput sequencing technology platform is an efficient, reliable method to screen for such mutations.
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