Cortellini, Lynelle

Background: Prior studies have shown an association between mutations within the oxidative phosphorylation (OXPHOS) pathway and familial ischemic stroke syndromes. We investigated whether common autosomal and mitochondrial genetic variants within OXPHOS genes were associated with sporadic ischemic stroke in case-control. Methods: This multicenter association study was performed using a discovery cohort of 1643 individuals and a validation cohort of 2432 individuals from sites participating in the International Stroke Genetics Consortium. We employed a gene-set enrichment analysis (GSEA) using all 95 genes structurally involved in OXPHOS to determine the probability that the OXPHOS gene-set harbored more variants associated with stroke than predicted by chance. We then constructed a genetic score consisting of common variants within these genes. This genetic score was developed in the discovery cohort, and then tested for association with ischemic stroke in the validation cohort. Results: GSEA identified an aggregate association between the OXPHOS gene-set and ischemic stroke (p = 0.012). Based on this result, we constructed and validated a genetic score which demonstrated an association between OXPHOS genetic variation and ischemic stroke (odds ratio (OR) = 1.17, p = 0.008). In order to further distill the association between OXPHOS and stroke, we developed and tested additional scores for each of the five OXPHOS respiratory complexes. This sub-analysis revealed an independent association between OXPHOS Complex I and ischemic stroke (OR = 1.06, p = 0.050). Conclusions: This pathway-based study, informed by GSEA, employing independent discovery and validation cohorts, establishes an association between common genetic variants within OXPHOS genes and ischemic stroke. Analysis of variants within each OXHPOS Complex suggests that Complex I mediates this effect. Further studies are needed to identify the individual variants which influence ischemic stroke risk. Such discoveries offer the promise of new therapeutic targets for the prevention and treatment of stroke.

Background: The Stroke Genetics Network (SiGN) funded by the NINDS aims to identify genetic risk factors in ischemic stroke using whole-genome association studies (GWAS). High quality phenotyping is crucial to successful application of GWAS. As a heterogenous disorder, stroke poses specific challenges. The Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification is a broadly used, but its validity is challenged especially when performed by multiple investigators with differing interpretations of the system. The Causative Classification System for Ischemic Stroke (CCS) system is a new, web-based, and computerized algorithm that integrates clinical, diagnostic, and etiologic stroke characteristics in an evidence-based manner ( ccs.mgh.harvard.edu ) to generate subtypes. Methods: In planning the SiGN proposal, a sample of 20 coded charts were collected from a subset of participating studies to assess feasibility of central adjudication and comparability to study-specific TOAST. Two central adjudicators reviewed all records and generated TOAST and CCS subtypes. These were compared to study-specific TOAST subtype and the CCS phenotype generated for SiGN by local trained adjudicators. CCS data is now available for 7134 included cases using both a 5 and a 7 category system as defined in the table . Results: All 4 phenotypes were available for 115 ischemic stroke cases from 6 studies in SiGN. Basic demographics were 54% women, 63% white, and median age between 65-74. Table 1 provides the agreement between the various subtypes. Table 2 describes the types of disagreement. Conclusions: Central adjudication with only two adjudicators and curated medical records yielded more consistent subtyping independent of phenotyping system. The agreement for TOAST was higher than published rates by independent groups (∼0.50). In contrast, the agreement for CCS was lower than previously published (0.85-0.95). Site adjudicators' familiarity with TOAST and inexperience with CCS may contribute. Although CCS is an automated algorithm and has a number of user friendly features, our findings suggest that formal training and certification process before starting to use CCS may be worthwhile to achieve optimal benefit from the system.

Abstract Ischemic stroke (IS) is among the leading causes of death in Western countries. There is a significant genetic component to IS susceptibility, especially among young adults. To date, research to identify genetic loci predisposing to stroke has met only with limited success. We performed a genome-wide association (GWA) analysis of early-onset IS to identify potential stroke susceptibility loci. The GWA analysis was conducted by genotyping 1 million SNPs in a biracial population of 889 IS cases and 927 controls, ages 15–49 years. Genotypes were imputed using the HapMap3 reference panel to provide 1.4 million SNPs for analysis. Logistic regression models adjusting for age, recruitment stages, and population structure were used to determine the association of IS with individual SNPs. Although no single SNP reached genome-wide significance (P < 5 × 10−8), we identified two SNPs in chromosome 2q23.3, rs2304556 (in FMNL2; P = 1.2 × 10−7) and rs1986743 (in ARL6IP6; P = 2.7 × 10−7), strongly associated with early-onset stroke. These data suggest that a novel locus on human chromosome 2q23.3 may be associated with IS susceptibility among young adults.