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- Mishra, A., et al.
(author)
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Stroke genetics informs drug discovery and risk prediction across ancestries
- 2022
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In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 611, s. 115-123
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Journal article (peer-reviewed)abstract
- Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry(1,2). 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 analysis(3), 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 approach(4), 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 ancestry(5). 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.
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- De Kort, A. M., et al.
(author)
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Decreased Cerebrospinal Fluid Amyloid beta 38, 40, 42, and 43 Levels in Sporadic and Hereditary Cerebral Amyloid Angiopathy
- 2023
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In: Annals of neurology. - : Wiley. - 0364-5134 .- 1531-8249. ; 93:6, s. 1173-86
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Journal article (peer-reviewed)abstract
- Objective: Vascular amyloid beta (A beta) accumulation is the hallmark of cerebral amyloid angiopathy (CAA). The composition of cerebrospinal fluid (CSF) of CAA patients may serve as a diagnostic biomarker of CAA. We studied the diagnostic potential of the peptides A beta 38, A beta 40, A beta 42, and A beta 43 in patients with sporadic CAA (sCAA), hereditary Dutch-type CAA (D-CAA), and Alzheimer disease (AD).Methods: A beta peptides were quantified by immunoassays in a discovery group (26 patients with sCAA and 40 controls), a validation group (40 patients with sCAA, 40 patients with AD, and 37 controls), and a group of 22 patients with D-CAA and 54 controls. To determine the diagnostic accuracy, the area under the curve (AUC) was calculated using a receiver operating characteristic curve with 95% confidence interval (CI).Results: We found decreased levels of all A beta peptides in sCAA patients and D-CAA patients compared to controls. The difference was most prominent for A beta 42 (AUC of sCAA vs controls for discovery: 0.90, 95% CI = 0.82-0.99; for validation: 0.94, 95% CI = 0.89-0.99) and A beta 43 (AUC of sCAA vs controls for discovery: 0.95, 95% CI = 0.88-1.00; for validation: 0.91, 95% CI = 0.83-1.0). All A beta peptides except A beta 43 were also decreased in sCAA compared to AD (CSF A beta 38: AUC = 0.82, 95% CI = 0.71-0.93; CSF A beta 40: AUC = 0.88, 95% CI = 0.80-0.96; CSF A beta 42: AUC = 0.79, 95% CI = 0.66-0.92).Interpretation: A combined biomarker panel of CSF A beta 38, A beta 40, A beta 42, and A beta 43 has potential to differentiate sCAA from AD and controls, and D-CAA from controls. ANN NEUROL 2023
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- Rannikmäe, K., et al.
(author)
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Reliability of intracerebral hemorrhage classification systems: A systematic review
- 2016
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In: International Journal of Stroke. - : SAGE Publications. - 1747-4930 .- 1747-4949. ; 11:6, s. 626-636
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Journal article (peer-reviewed)abstract
- Background: Accurately distinguishing non-traumatic intracerebral hemorrhage (ICH) subtypes is important since they may have different risk factors, causal pathways, management, and prognosis. We systematically assessed the inter- and intra-rater reliability of ICH classification systems. Methods: We sought all available reliability assessments of anatomical and mechanistic ICH classification systems from electronic databases and personal contacts until October 2014. We assessed included studies’ characteristics, reporting quality and potential for bias; summarized reliability with kappa value forest plots; and performed meta-analyses of the proportion of cases classified into each subtype. Summary of review: We included 8 of 2152 studies identified. Inter- and intra-rater reliabilities were substantial to perfect for anatomical and mechanistic systems (inter-rater kappa values: anatomical 0.78–0.97 [six studies, 518 cases], mechanistic 0.89–0.93 [three studies, 510 cases]; intra-rater kappas: anatomical 0.80–1 [three studies, 137 cases], mechanistic 0.92–0.93 [two studies, 368 cases]). Reporting quality varied but no study fulfilled all criteria and none was free from potential bias. All reliability studies were performed with experienced raters in specialist centers. Proportions of ICH subtypes were largely consistent with previous reports suggesting that included studies are appropriately representative. Conclusions: Reliability of existing classification systems appears excellent but is unknown outside specialist centers with experienced raters. Future reliability comparisons should be facilitated by studies following recently published reporting guidelines. © 2016, © 2016 World Stroke Organization.
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- Martinez-Majander, N., et al.
(author)
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Association between Migraine and Cryptogenic Ischemic Stroke in Young Adults
- 2021
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In: Annals of Neurology. - : Wiley. - 0364-5134 .- 1531-8249. ; 89:2, s. 242-253
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Journal article (peer-reviewed)abstract
- Objective To assess the association between migraine and cryptogenic ischemic stroke (CIS) in young adults, with subgroup analyses stratified by sex and presence of patent foramen ovale (PFO). Methods We prospectively enrolled 347 consecutive patients aged 18 to 49 years with a recent CIS and 347 age- and sex-matched (+/- 5 years) stroke-free controls. Any migraine and migraine with (MA) and migraine without aura (MO) were identified by a screener, which we validated against a headache neurologist. We used conditional logistic regression adjusting for age, education, hypertension, diabetes, waist-to-hip ratio, physical inactivity, current smoking, heavy drinking, and oral estrogen use to assess independent association between migraine and CIS. The effect of PFO on the association between migraine and CIS was analyzed with logistic regression in a subgroup investigated with transcranial Doppler bubble screen. Results The screener performance was excellent (Cohen kappa > 0.75) in patients and controls. Compared with nonmigraineurs, any migraine (odds ratio [OR] = 2.48, 95% confidence interval [CI] = 1.63-3.76) and MA (OR = 3.50, 95% CI = 2.19-5.61) were associated with CIS, whereas MO was not. The association emerged in both women (OR = 2.97 for any migraine, 95% CI = 1.61-5.47; OR = 4.32 for MA, 95% CI = 2.16-8.65) and men (OR = 2.47 for any migraine, 95% CI = 1.32-4.61; OR = 3.61 for MA, 95% CI = 1.75-7.45). Specifically for MA, the association with CIS remained significant irrespective of PFO. MA prevalence increased with increasing magnitude of the right-to-left shunt in patients with PFO. Interpretation MA has a strong association with CIS in young patients, independent of vascular risk factors and presence of PFO. ANN NEUROL 2020
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