I schemic stroke remains a leading cause of death and disability worldwide.1 Planning cost-effective preventive strategies requires precise knowledge of stroke risk factors. 2 Approximately 10% of ischemic strokes occur at ages <45 years, 3 with major long-term socioeconomic con sequences. 4 Stroke prevention results in greater quality-weighted life-yearBackground and Purpose-Although many stroke patients are young or middle-aged, risk factor profiles in these age groups are poorly understood. Methods-The Stroke in Young Fabry Patients (sifap1) study prospectively recruited a large multinational European cohort of patients with cerebrovascular events aged 18 to 55 years to establish their prevalence of Fabry disease. In a secondary analysis of patients with ischemic stroke or transient ischemic attack, we studied age-and sex-specific prevalences of various risk factors. Results-Among 4467 patients (median age, 47 years; interquartile range, 40-51), the most frequent well-documented and modifiable risk factors were smoking (55.5%), physical inactivity (48.2%), arterial hypertension (46.6%), dyslipidemia (34.9%), and obesity (22.3%). Modifiable less well-documented or potentially modifiable risk factors like high-risk alcohol consumption (33.0%) and short sleep duration (20.6%) were more frequent in men, and migraine (26.5%) was more frequent in women. Women were more often physically inactive, most pronouncedly at ages <35 years (18-24: 38.2%; 25-34: 51.7%), and had high proportions of abdominal obesity at age 25 years or older (74%). Physical inactivity, arterial hypertension, dyslipidemia, obesity, and diabetes mellitus increased with age. Conclusions-In this large European cohort of young patients with acute ischemic cerebrovascular events, modifiable risk factors were highly prevalent, particularly in men and older patients. These data emphasize the need for vigorous primary and secondary prevention measures already in young gain in younger patients than in elderly patients, but has received less attention.In the general population and in patient cohorts, risk factor profiles changed with increasing age. 5,6 Most studies of stroke patients aged <50 years were small and methodologically heterogeneous. [7][8][9][10] In the largest single-center study including 1008 ischemic stroke patients aged 15 to 49 years, 7 the most common risk factors were dyslipidemia (60%), smoking (44%), and arterial hypertension (39%), with accumulation in men and increasing age. However, only scarce data exist on the prevalence and risk potential of lifestyle risk factors such as physical inactivity, obesity, 7,8,11 body mass index, waist circumference, 12 and sleep pattern 13,14 in the young. The Stroke in Young Fabry Patients (sifap1) study 15 prospectively recruited a large multinational European cohort of patients aged 18 to 55 years with cerebrovascular event (CVE) to establish their prevalence of Fabry disease. In a secondary analysis of patients with ischemic stroke and transient ischemic attack (TIA), we investigate...

Background and Purpose-Strokes have especially devastating implications if they occur early in life; however, only limited information exists on the characteristics of acute cerebrovascular disease in young adults. Although risk factors and manifestation of atherosclerosis are commonly associated with stroke in the elderly, recent data suggests different causes for stroke in the young. We initiated the prospective, multinational European study Stroke in Young Fabry Patients (sifap) to characterize a cohort of young stroke patients. Methods-Overall, 5023 patients aged 18 to 55 years with the diagnosis of ischemic stroke (3396) *Drs Rolfs, Fazekas and Grittner contributed equally to this work. Authors contributions: Dr Rolfs has conceptualized, initiated, and designed and organized the study, has been involved in the recruitment of the patients, and wrote significant parts of the manuscript. Dr Fazekas was involved in the study planning and has done together with Drs Enzinger and Schmidt the analysis of all MRI scans; this group was mainly involved in the statistical analysis of the MRI data. Drs Martus, Grittner, Holzhausen have taken responsibility for all statistical analysis and for the data structure of the total data bank. Drs Dichgans, Böttcher, Tatlisumak, Tanislav, Jungehulsing, Putaala, Huber, Bodechtel, Lichy, Hennerici, Kaps, Meyer, Kessler have been most active in the recruitment of the patients, drafting the manuscript and significantly influencing the scientific discussion. Dr Heuschmann was involved in drafting the manuscript and influencing the scientific discussion. Dr Norrving chaired the steering and publication committees of sifap, has written parts of the manuscript, and has significantly influenced the scientific discussions. Drs Lackner and Paschke, H. Mascher, Dr Riess have been involved in the laboratory analyses. Dr Kolodny has mostly contributed to the discussion of the Fabry cases. Dr Giese assisted in writing and editing the manuscript. All authors have reviewed, critically revised and approved the final version of the manuscript.The sponsors of the study had no role in the study design, data collection, data analysis, interpretation, writing of the manuscript, or the decision to submit the manuscript for publication. The academic authors had unrestricted access to the derived dataset, and assume full responsibility for the completeness, integrity, and interpretation of the data, as well as writing the study report and the decision to submit for publication.†Listed in Appendix I in the online-only Data Supplement. Jeffrey L. Saver, MD, was guest editor for this article.

Previous genome-wide association studies (GWASs) of stroke — the second leading cause of death worldwide — were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.