Mitchell, Braxton D.

Background and purposeAlthough the genetic contribution to stroke risk is well known, it remains unclear if young‐onset stroke has a stronger genetic contribution than old‐onset stroke. This study aims to compare the heritability of ischaemic stroke risk between young and old, using common genetic variants from whole‐genome array data in population‐based samples.MethodsThis analysis included 4050 ischaemic stroke cases and 5765 controls from six study populations of European ancestry; 47% of cases were young‐onset stroke (age < 55 years). To quantify the heritability for stroke risk in these unrelated individuals, the pairwise genetic relatedness was estimated between individuals based on their whole‐genome array data using a mixed linear model. Heritability was estimated separately for young‐onset stroke and old‐onset stroke (age ≥ 55 years).ResultsHeritabilities for young‐onset stroke and old‐onset stroke were estimated at 42% (±8%, P < 0.001) and 34% (±10%, P < 0.001), respectively.ConclusionsOur data suggest that the genetic contribution to the risk of stroke may be higher in young‐onset ischaemic stroke, although the difference was not statistically significant.

Background and Purpose— The majority of genome-wide association studies (GWAS) of stroke have focused on European-ancestry populations; however, none has been conducted in African Americans, despite the disproportionately high burden of stroke in this population. The Consortium of Minority Population Genome-Wide Association Studies of Stroke (COMPASS) was established to identify stroke susceptibility loci in minority populations. Methods— Using METAL, we conducted meta-analyses of GWAS in 14 746 African Americans (1365 ischemic and 1592 total stroke cases) from COMPASS, and tested genetic variants with P <10 −6 for validation in METASTROKE, a consortium of ischemic stroke genetic studies in European-ancestry populations. We also evaluated stroke loci previously identified in European-ancestry populations. Results— The 15q21.3 locus linked with lipid levels and hypertension was associated with total stroke (rs4471613; P =3.9×10 −8 ) in African Americans. Nominal associations ( P <10 −6 ) for total or ischemic stroke were observed for 18 variants in or near genes implicated in cell cycle/mRNA presplicing ( PTPRG , CDC5L ), platelet function ( HPS4 ), blood–brain barrier permeability ( CLDN17 ), immune response ( ELTD1, WDFY4 , and IL1F10-IL1RN ), and histone modification ( HDAC9 ). Two of these loci achieved nominal significance in METASTROKE: 5q35.2 ( P =0.03), and 1p31.1 ( P =0.018). Four of 7 previously reported ischemic stroke loci ( PITX2, HDAC9, CDKN2A/CDKN2B , and ZFHX3 ) were nominally associated ( P <0.05) with stroke in COMPASS. Conclusions— We identified a novel genetic variant associated with total stroke in African Americans and found that ischemic stroke loci identified in European-ancestry populations may also be relevant for African Americans. Our findings support investigation of diverse populations to identify and characterize genetic risk factors, and the importance of shared genetic risk across populations.

Background and Purpose— Meta-analyses of extant genome-wide data illustrate the need to focus on subtypes of ischemic stroke for gene discovery. The National Institute of Neurological Disorders and Stroke SiGN (Stroke Genetics Network) contributes substantially to meta-analyses that focus on specific subtypes of stroke. Methods— The National Institute of Neurological Disorders and Stroke SiGN includes ischemic stroke cases from 24 genetic research centers: 13 from the United States and 11 from Europe. Investigators harmonize ischemic stroke phenotyping using the Web-based causative classification of stroke system, with data entered by trained and certified adjudicators at participating genetic research centers. Through the Center for Inherited Diseases Research, the Network plans to genotype 10 296 carefully phenotyped stroke cases using genome-wide single nucleotide polymorphism arrays and adds to these another 4253 previously genotyped cases, for a total of 14 549 cases. To maximize power for subtype analyses, the study allocates genotyping resources almost exclusively to cases. Publicly available studies provide most of the control genotypes. Center for Inherited Diseases Research–generated genotypes and corresponding phenotypes will be shared with the scientific community through the US National Center for Biotechnology Information database of Genotypes and Phenotypes, and brain MRI studies will be centrally archived. Conclusions— The Stroke Genetics Network, with its emphasis on careful and standardized phenotyping of ischemic stroke and stroke subtypes, provides an unprecedented opportunity to uncover genetic determinants of ischemic stroke.

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 &lt; 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.