Whole exome sequencing analysis reveals TRPV3 as a risk factor for cardioembolic stroke/subtitle

Genes to therapy: a comprehensive literature review of whole-exome sequencing in neurology and neurosurgery

Whole-exome sequencing (WES), a ground-breaking technology, has emerged as a linchpin in neurology and neurosurgery, offering a comprehensive elucidation of the genetic landscape of various neurological disorders. This transformative methodology concentrates on the exonic portions of DNA, which constitute approximately 1% of the human genome, thus facilitating an expedited and efficient sequencing process. WES has been instrumental in advancing our understanding of neurodegenerative diseases, neuro-oncology, cerebrovascular disorders, and epilepsy by revealing rare variants and novel mutations and providing intricate insights into their genetic complexities. This has been achieved while maintaining a substantial diagnostic yield, thereby offering novel perspectives on the pathophysiology and personalized management of these conditions. The utilization of WES boasts several advantages over alternative genetic sequencing methodologies, including cost-effectiveness, reduced incidental findings, simplified analysis and interpretation process, and reduced computational demands. However, despite its benefits, there are challenges, such as the interpretation of variants of unknown significance, cost considerations, and limited accessibility in resource-constrained settings. Additionally, ethical, legal, and social concerns are raised, particularly in the context of incidental findings and patient consent. As we look to the future, the integration of WES with other omics-based approaches could help revolutionize the field of personalized medicine through its implications in predictive models and the development of targeted therapeutic strategies, marking a significant stride toward more effective and clinically oriented solutions.

Monogenic Causes in Familial Stroke Across Intracerebral Hemorrhage and Ischemic Stroke Subtypes Identified by Whole-Exome Sequencing

Whole exome sequencing (WES) has been used to detect rare causative variants in neurological diseases. However, the efficacy of WES in genetic diagnosis of clinically heterogeneous familial stroke remains inconclusive. We prospectively searched for disease-causing variants in unrelated probands with defined familial stroke by candidate gene/hotspot screening and/or WES, depending on stroke subtypes and neuroimaging features at a referral center. The clinical significance of each variant was determined according to the American College of Medical Genetics guidelines. Among 161 probands (mean age at onset 53.2 ± 13.7 years; male 63.4%), 33 participants (20.5%) had been identified with 19 pathogenic/likely pathogenic variants (PVs; WES applied 152/161 = 94.4%). Across subtypes, the highest hit rate (HR) was intracerebral hemorrhage (ICH, 7/18 = 38.9%), particularly with the etiological subtype of structural vasculopathy (4/4 = 100%, PVs in ENG, KRIT1, PKD1, RNF213); followed by ischemic small vessel disease (SVD, 15/48 = 31.3%; PVs in NOTCH3, HTRA1, HBB). In contrast, large artery atherosclerosis (LAA, 4/44 = 9.1%) and cardioembolism (0/11 = 0%) had the lowest HR. NOTCH3 was the most common causative gene (16/161 = 9.9%), presenting with multiple subtypes of SVD (n = 13), ICH (n = 2), or LAA (n = 1). Importantly, we disclosed two previously unreported PVs, KRIT1 p.E379* in a familial cerebral cavernous malformation, and F2 p.F382L in a familial cerebral venous sinus thrombosis. The contribution of monogenic etiologies was particularly high in familial ICH and SVD subtypes in our Taiwanese cohort. Utilizing subtype-guided hotspot screening and/or subsequent WES, we unraveled monogenic causes in 20.5% familial stroke probands, including 1.2% novel PVs. Genetic diagnosis may enable early diagnosis, management and lifestyle modification. Among 161 familial stroke probands, 33 (20.5%) had been identified pathogenic or likely pathogenic monogenic variants related to stroke. The positive hit rate among all subtypes was high in intracerebral hemorrhage (ICH) and ischemic small vessel disease (SVD). Notably, two previously unreported variants, KRIT1 p.E379* in a familial cerebral cavernous malformation and F2 p.F382L in familial cerebral venous sinus thrombosis, were disclosed. CVT cerebral venous thrombosis; HTN Hypertensive subtype; LAA large artery atherosclerosis; SV structural vasculopathy; U Undetermined.

Genome-Wide Detection of m6A-Associated Genetic Polymorphisms Associated with Ischemic Stroke

N⁶-Methyladenosine (m⁶A) methylation is the most abundant post-transcription modification in eukaryotes and plays a vital role in many pathological conditions including cerebral ischemia-reperfusion injury and vascular inflammation. Moreover, recent studies have reported that single-nucleotide polymorphisms (SNPs) can affect the m⁶A modification. Therefore, we investigated the relationship between m⁶A-SNPs and ischemic stroke (IS) risk through integrative analysis of an IS genome-wide association study and m⁶A-SNP list from the m6AVar database. Next, we performed eQTL and differential expression analysis to support these IS-associated m⁶A-SNPs. Finally, using the identified polymorphisms, a PPI network was constructed using the STRING database, and GO and pathway enrichment analyses were performed using the DAVID online tool. Accordingly, we identified 305 IS-associated SNPs that could affect m⁶A methylation. Next, 158 of these SNPs were determined to have eQTL signals on local genes. We further identified 84 local genes (containing a total of 87 SNPs) that were differentially expressed in IS patients. Finally, we identified several biological processes and pathways related to IS pathogenesis, such as "leukocyte migration" and "focal adhesion." In summary, our study detected dozens of m⁶A-SNPs as critical functional polymorphisms and novel genetic biomarkers for IS susceptibility and provided a new means of elucidating the biological mechanism underlying IS development.

Exome sequencing of extreme phenotypes in bronchopulmonary dysplasia

Bronchopulmonary dysplasia is the most common chronic respiratory disease in premature infants with growing evidence that genetic factors contribute largely to moderate and severe cases. We assessed by exome sequencing if rare genetic variants could account for extremely severe phenotypes. We selected 6 infants born very preterm with severe bronchopulmonary dysplasia and 8 very preterm born controls for exome sequencing. We filtered whole exome sequencing results to include only rare variants and selected variants and/or genes with variants that were present in at least 2 cases and absent in controls. We selected variants, all heterozygous, in 9 candidate genes, 7 with a putative role in lung development and 2 that displayed 3 variations in 3 different cases, independently of their potential role in lung development. Sequencing of 5 other severe cases for these variants did not replicate our results.Conclusion: In selected preterm born infants with severe bronchopulmonary dysplasia and controls, we failed to find any rare variant shared by several infants with an extremely severe phenotype. Our results are not consistent with the role of rare causative variants in bronchopulmonary dysplasia's development and argue for the highly polygenic nature of susceptibility of this disorder.What is Known:• Bronchopulmonary dysplasia is a multifactorial disease resulting from complex environmental and genetic interactions occurring in an immature lung.• It is not known whether rare genetic variants in coding regions could account for extreme phenotypes of the disease.What is New:• In a group of infants with an extreme phenotype of bronchopulmonary dysplasia and in comparison to controls, no common genetic variants were found, nor did variants that were select in other exome studies in this setting.• These results argue for the highly polygenic nature of susceptibility of bronchopulmonary dysplasia.

Joinville stroke biobank: study protocol and first year’s results

ABSTRACT Aiming to contribute to studies that use detailed clinical and genomic information of biobanks, we present the initial results of the first Latin American Stroke Biobank. Methods: Blood samples were collected from patients included in the Joinville Stroke Registry and four Brazilian cities. Demographic socio-economic data, cardiovascular risk factors, Causative Classification System for Ischemic Stroke, Trial of Org 10172 in Acute Stroke Treatment and National Institutes of Health scores, functional stroke status (modified Rankin) and brain images were recorded. Additionally, controls from both geographic regions were recruited. High-molecular-weight genomic DNA was obtained from all participants. Results: A total of 2,688 patients and 3,282 controls were included. Among the patients, 76% had ischemic stroke, 12% transient ischemic attacks, 9% hemorrhagic stroke and 3% subarachnoid hemorrhage. Patients with undetermined ischemic stroke were most common according the Trial of Org 10172 in Acute Stroke Treatment (40%) and Causative Classification System for Ischemic Stroke (47%) criteria. A quarter of the patients were under 55 years of age at the first-ever episode. Conclusions: We established the Joinville Stroke Biobank and discuss its potential for contributing to the understanding of the risk factors leading to stroke.