Abstract 2531: Gene Pathway Analysis In Young- Vs. Old-onset Ischemic Stroke

Abstract

BACKGROUND AND PURPOSE: Ischemic stroke is a heterogeneous complex disease that results from the interaction between numerous genetic and environmental risk factors. Stroke heritability is approximately 40% in the overall population, similar to that of cancer, although there may be important differences in the etiologies of young (<49 years old) versus older onset ischemic stroke. The goal of this study was to conduct a mechanistic genome-wide association (GWA) analysis contrasting the gene pathways involved in young- and old-onset stroke. METHODS: Our analysis included 946 young subjects (448 ischemic stroke subjects and 498 age and sex matched controls, mean age of stroke onset 41 years) and 2558 older subjects (1070 ischemic stroke subjects and 1488 controls, mean age of stroke onset 66.5 years). All subjects were of European ancestry. The young onset cases and controls were genotyped by Illumina Omni1-Quad array with imputation up to 1.8 M SNPs and the old onset cases and controls by a combination of 550 v1 and v3 as well as 610 Illumina arrays with imputation up to 5.0 M SNPs. Single SNP association testing was performed within each contributing study by logistic regression adjusting for age, sex and population structure. Numbers of genes assigned with significant SNPs (P<=0.0001) were 18 and 25 with young- and old-onset groups, respectively, which were used as an input to pathway analysis by the Pathway Studio (Ariadne Genomics, Co.) RESULTS: SNP-level analyses did not reveal any significant associations with each group that met Bonferroni adjusted thresholds for statistical significance. In analyzing the ‘suggestively associated SNPs’, protein-protein interaction pathway analysis in the young-onset group revealed a strong segregation of significant hub proteins (CAT, RUNX1, and EIF4E) with more than 100 connections, while in the old-onset group the interaction networks were dispersed without much segregation. We observed that protein-protein interaction networks have a power-law connectivity distribution in both young- and old-onset groups. We identified 3 significant and focused pathways, ROS metabolism, melanogenesis, and IGF1R->CdEBPA/FOXO1A signaling, enriched for young-onset stroke (P<0.04). In the old-onset group, 10 pathways were identified involving broader signaling pathways. CONCLUSIONS: Young-onset stroke may involve genetic predisposition characterized by a few distinct and finite pathways. Our data suggests that young onset stroke may involve a few pathways that relate to a small number of key hub proteins, including ROS metabolism, melanogenesis, and IGF1R->CEBPA/FOXO1A signaling. Our analysis is consistent with the hypothesis that different pathways may be involved in young versus old onset stroke.