2021
DOI: 10.1212/nxg.0000000000000560
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Polygenic Risk Scores Augment Stroke Subtyping

Abstract: ObjectiveTo determine whether the polygenic risk score (PRS) derived from MEGASTROKE is associated with ischemic stroke (IS) and its subtypes in an independent tertiary health care system and to identify the PRS derived from gene sets of known biological pathways associated with IS.MethodsControls (n = 19,806/7,484, age ≥69/79 years) and cases (n = 1,184/951 for discovery/replication) of acute IS with European ancestry and clinical risk factors were identified by leveraging the Geisinger Electronic Health Reco… Show more

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Cited by 19 publications
(28 citation statements)
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“…The polygenic contribution to early-onset was much higher than to late-onset in the same disease (241). Our retrospective study from the sensitivity analysis alternatively confirmed this disproportional increased PRS burden for ischemic stroke using younger cases vs. three tiers of older controls (from 59, 69 to 79) (243). Gene sets analyses highlighted the association of PRS with Gene Ontology terms (vascular endothelial growth factor, amyloid precursor protein, and atherosclerosis).…”
Section: Genetic Predisposition To Cardiovascular Disease and Strokesupporting
confidence: 65%
“…The polygenic contribution to early-onset was much higher than to late-onset in the same disease (241). Our retrospective study from the sensitivity analysis alternatively confirmed this disproportional increased PRS burden for ischemic stroke using younger cases vs. three tiers of older controls (from 59, 69 to 79) (243). Gene sets analyses highlighted the association of PRS with Gene Ontology terms (vascular endothelial growth factor, amyloid precursor protein, and atherosclerosis).…”
Section: Genetic Predisposition To Cardiovascular Disease and Strokesupporting
confidence: 65%
“…Our findings also demonstrate that TMAO is a powerful metabolite that plays an essential role in the association between microbiome and stroke and may serve as an actionable target. As there is new evidence that polygenic risk scores can be used to augment stroke subtypes (7), microbiome composition can also be an additional layer of information that can be used to better inform care providers when planning individualized care paths for their patients to improve outcome. Taken together, the gut microbiome plays an important role in stroke and can transform how stroke and its subtypes are diagnosed and treated.…”
Section: Discussion and Future Prospectivesmentioning
confidence: 99%
“…Ischemic stroke is classified into subtypes using the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification, including large artery atherosclerosis, cardioembolic, small vessel occlusion, other determined cause, or undetermined cause (6). There is also evidence that polygenic risk scores can augment stroke subtyping (7).…”
Section: Introductionmentioning
confidence: 99%
“…Genome-wide association studies (GWAS) on IS and its etiologic subtypes have been conducted for a decade, and more stroke risk loci have been identified 3 . Polygenic risk scores (PRSs) based on the effect sizes estimated from the meta/mega-analyses of GWAS, led by the MEGASTROKE consortium, have proven informative for IS risk stratification 4 and augmenting subtyping 5 . The short-term or long-term outcomes have become “The Next Big Thing” in the focus of stroke genetics with a great demand for the development of neuroprotective agents 6 .…”
Section: Introductionmentioning
confidence: 99%
“…Through a regularized regression model to integrate multiple sets of GWAS summary statistics on stroke and its modifiable clinical risk factors, a metaGRS has been developed to determine its independent predictability for IS 16 . Our previous study has identified several pathway-specific PRSs that are significantly associated with IS or IS subtypes 5 . This study is aimed to evaluate whether we can prioritize mortality-related PRSs from these candidates through a regularized regression and further demonstrate their independent predictability in an integrated mortality prediction model.…”
Section: Introductionmentioning
confidence: 99%