2024
Life's Essential 8 and Poor Brain Health Outcomes in Middle-Aged Adults
Clocchiatti-Tuozzo S, Rivier C, Renedo D, Huo S, Hawkes M, de Havenon A, Schwamm L, Sheth K, Gill T, Falcone G. Life's Essential 8 and Poor Brain Health Outcomes in Middle-Aged Adults. Neurology 2024, 103: e209990. PMID: 39442069, PMCID: PMC11498939, DOI: 10.1212/wnl.0000000000209990.Peer-Reviewed Original ResearchConceptsLife's Essential 8Poor cardiovascular healthCardiovascular healthBrain healthLife's Essential 8 scoreUnadjusted riskEssential 8Determinants of cardiovascular healthUK Biobank (UKBCardiovascular health profileModifiable cardiovascular risk factorsBrain health outcomesRisk factorsComposite outcomePublic health constructsPopulation studiesMiddle-aged adultsCox modelLate-life depressionCox proportional hazards modelsBrain health benefitsMultivariate Cox modelCardiovascular risk factorsFollow-up timeAoU participantsSecondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts
Rivier C, Acosta J, Leasure A, Forman R, Sharma R, de Havenon A, Spatz E, Inzucchi S, Kernan W, Falcone G, Sheth K. Secondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts. Journal Of The American Heart Association 2024, 13: e033322. PMID: 38639369, PMCID: PMC11179946, DOI: 10.1161/jaha.123.033322.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsBlood PressureCross-Sectional StudiesFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedMyocardial InfarctionPlatelet Aggregation InhibitorsPractice Guidelines as TopicRisk AssessmentRisk FactorsSecondary PreventionStrokeUnited KingdomUnited StatesConceptsMyocardial infarctionPrevention scoreSecondary preventionImplementation of preventive therapyNational cohortUK BiobankAntiplatelet therapy useGuideline-directed therapyPrevention profilesBlood pressure controlAdherence to guideline-directed therapyLow-density lipoprotein controlNeighborhood deprivation levelHistory of strokeVascular risk profileStatin useAntiplatelet useTherapy usePreventive therapyComparison to participantsPrevention criteriaCross-sectional analysisBlood pressurePatientsPressure control
2023
Higher Hospital Frailty Risk Score Is Associated With Increased Risk of Stroke: Observational and Genetic Analyses
Renedo D, Acosta J, Koo A, Rivier C, Sujijantarat N, de Havenon A, Sharma R, Gill T, Sheth K, Falcone G, Matouk C. Higher Hospital Frailty Risk Score Is Associated With Increased Risk of Stroke: Observational and Genetic Analyses. Stroke 2023, 54: 1538-1547. PMID: 37216451, PMCID: PMC10212531, DOI: 10.1161/strokeaha.122.041891.Peer-Reviewed Original ResearchMeSH KeywordsHemorrhagic StrokeHospitalsHumansPopulation HealthRetrospective StudiesRisk FactorsStrokeConceptsHospital Frailty Risk ScoreRisk of strokeHighest Hospital Frailty Risk ScoresDate of consentFrailty Risk ScoreMendelian randomization analysisStroke riskRisk scoreRandomization analysisTime of enrollmentAvailable electronic health recordsMendelian randomizationElectronic health recordsLook-back periodIncident strokeDose-response wayFrailty statusHemorrhagic strokeMultivariable analysisStroke eventsObservational studyHigh riskFrailtySignificant associationSimilar associationA Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage
Myserlis E, Georgakis M, Demel S, Sekar P, Chung J, Malik R, Hyacinth H, Comeau M, Falcone G, Langefeld C, Rosand J, Woo D, Anderson C. A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage. Stroke 2023, 54: 973-982. PMID: 36799223, PMCID: PMC10050100, DOI: 10.1161/strokeaha.122.041701.Peer-Reviewed Original ResearchMeSH KeywordsCerebral HemorrhageFibrinolytic AgentsGenome-Wide Association StudyGenomicsHumansRisk FactorsConceptsClinical risk factorsIncident intracerebral hemorrhageIntracerebral hemorrhageHigh-risk populationRisk factorsGenomic risk scoresRisk scoreHigher oddsHigh riskRisk factor-adjusted modelsStandard clinical risk factorsVascular risk factorsLobar intracerebral hemorrhageLow-risk populationNonlobar intracerebral hemorrhageUse of anticoagulantsPopulation-based UK Biobank cohortUK Biobank cohortEuropean ancestryAntithrombotic treatmentClinical predictorsSD incrementMedication usersLifetime riskMetaGRS
2022
Effect of Intensive Blood Pressure Control on Incident Stroke Risk in Patients With Mild Cognitive Impairment
de Havenon A, Sharma R, Falcone GJ, Prabhakaran S, Sheth KN. Effect of Intensive Blood Pressure Control on Incident Stroke Risk in Patients With Mild Cognitive Impairment. Stroke 2022, 53: e242-e245. PMID: 35502662, PMCID: PMC9246875, DOI: 10.1161/strokeaha.122.038818.Peer-Reviewed Original ResearchConceptsIntensive BP controlIntensive blood pressure controlMild cognitive impairmentMontreal Cognitive Assessment scoreBlood pressure controlBP controlIncident strokePrimary outcomeCognitive Assessment scoreCognitive impairmentCox modelPressure controlAssessment scoresAnalysis of SPRINTIncident stroke riskStandard BP controlIncident stroke eventsRace/ethnicityBaseline BPRandomization armHazard ratioStroke riskPatient ageStroke eventsAtrial fibrillationAnalysis of Clinical Traits Associated With Cardiovascular Health, Genomic Profiles, and Neuroimaging Markers of Brain Health in Adults Without Stroke or Dementia
Acosta JN, Both CP, Rivier C, Szejko N, Leasure AC, Gill TM, Payabvash S, Sheth KN, Falcone GJ. Analysis of Clinical Traits Associated With Cardiovascular Health, Genomic Profiles, and Neuroimaging Markers of Brain Health in Adults Without Stroke or Dementia. JAMA Network Open 2022, 5: e2215328. PMID: 35622359, PMCID: PMC9142873, DOI: 10.1001/jamanetworkopen.2022.15328.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiomarkersBrainCohort StudiesDementiaFemaleGenomicsHumansMaleNeuroimagingRisk FactorsStrokeUnited StatesConceptsBrain healthBrain volumeMagnetic resonance imagingLower mean volumeLifestyle factorsCardiovascular healthLarge population-based cohort studyLife's Simple 7 (LS7) scoresPopulation-based cohort studyBrain magnetic resonance imagingMean volumeWhite matter hyperintensity volumeBrain health benefitsCommunity-dwelling personsImproved brain healthOutcomes of interestUK BiobankFinal analytical sampleAsymptomatic personsCohort studyLS7 scoreNeuroimaging markerHyperintensity volumeMAIN OUTCOMEGenetic predisposition
2021
Cardiovascular Health Disparities in Racial and Other Underrepresented Groups: Initial Results From the All of Us Research Program
Acosta JN, Leasure AC, Both CP, Szejko N, Brown S, Torres‐Lopez V, Abdelhakim S, Schindler J, Petersen N, Sansing L, Gill TM, Sheth KN, Falcone GJ. Cardiovascular Health Disparities in Racial and Other Underrepresented Groups: Initial Results From the All of Us Research Program. Journal Of The American Heart Association 2021, 10: e021724. PMID: 34431358, PMCID: PMC8649271, DOI: 10.1161/jaha.121.021724.Peer-Reviewed Original ResearchIntracerebral Hemorrhage in Patients With COVID-19
Leasure AC, Khan YM, Iyer R, Elkind MSV, Sansing LH, Falcone GJ, Sheth KN. Intracerebral Hemorrhage in Patients With COVID-19. Stroke 2021, 52: e321-e323. PMID: 34082576, PMCID: PMC8238884, DOI: 10.1161/strokeaha.121.034215.Peer-Reviewed Original ResearchAdolescentAdultAge FactorsAgedAnticoagulantsCerebral HemorrhageCOVID-19C-Reactive ProteinExtracorporeal Membrane OxygenationFemaleHeart Disease Risk FactorsHospital MortalityHospitalizationHumansIntensive Care UnitsInterleukin-6MaleMiddle AgedRegistriesRespiration, ArtificialRisk FactorsSARS-CoV-2Sex FactorsUnited StatesYoung AdultObstructive Sleep Apnea as a Risk Factor for Intracerebral Hemorrhage
Geer JH, Falcone GJ, Vanent KN, Leasure AC, Woo D, Molano JR, Sansing LH, Langefeld CD, Pisani MA, Yaggi HK, Sheth KN. Obstructive Sleep Apnea as a Risk Factor for Intracerebral Hemorrhage. Stroke 2021, 52: 1835-1838. PMID: 33827242, PMCID: PMC8085039, DOI: 10.1161/strokeaha.120.033342.Peer-Reviewed Original ResearchConceptsObstructive sleep apneaRisk factorsBerlin questionnaireIntracerebral hemorrhageSleep apneaEthnic/Racial VariationsHigher body mass indexMultivariable logistic regression modelBody mass indexIntracerebral hemorrhage riskCase-control studyExposure of patientsLogistic regression analysisLogistic regression modelsOSA statusHemorrhage riskMass indexHeart diseaseNontraumatic ICHRacial variationApneaHemorrhageRegression analysisICHRegression models
2020
Association of race and ethnicity to incident epilepsy, or epileptogenesis, after subdural hematoma.
Brown SC, King ZA, Kuohn L, Kamel H, Gilmore EJ, Frontera JA, Murthy S, Kim JA, Omay SB, Falcone GJ, Sheth KN. Association of race and ethnicity to incident epilepsy, or epileptogenesis, after subdural hematoma. Neurology 2020, 95: e2890-e2899. PMID: 32907969, PMCID: PMC7734738, DOI: 10.1212/wnl.0000000000010742.Peer-Reviewed Original ResearchConceptsSubdural hematomaEmergency departmentMultivariable Cox regressionRetrospective cohort studyMedical risk factorsDevelopment of epilepsyNontraumatic subdural hematomaAssociation of raceDiagnosis of epilepsyCohort studyPrimary outcomeRenal diseaseStatus epilepticusWhite patientsBlack patientsHospital revisitsCox regressionBlack raceDiagnosis codesRisk factorsClaims dataInjury severityEpilepsyDrug useSurvival analysisNon-Traumatic Subdural Hemorrhage and Risk of Arterial Ischemic Events
Murthy SB, Wu X, Diaz I, Parasram M, Parikh NS, Iadecola C, Merkler AE, Falcone GJ, Brown S, Biffi A, Ch'ang J, Knopman J, Stieg PE, Navi BB, Sheth KN, Kamel H. Non-Traumatic Subdural Hemorrhage and Risk of Arterial Ischemic Events. Stroke 2020, 51: 1464-1469. PMID: 32178587, PMCID: PMC7188584, DOI: 10.1161/strokeaha.119.028510.Peer-Reviewed Original ResearchConceptsArterial ischemic eventsAcute ischemic strokeIschemic eventsIschemic strokeSubdural hemorrhageMyocardial infarctionAntithrombotic therapyMedicare beneficiariesSDH diagnosisPatient riskSecondary analysisRetrospective cohort studyAcute myocardial infarctionCohort studyHazard ratioSecondary outcomesVascular comorbiditiesPrimary outcomeCox regressionDiagnosis codesClaims dataInternational ClassificationPrimary analysisInfarctionStroke
2019
Racial/ethnic disparities in the risk of intracerebral hemorrhage recurrence.
Leasure AC, King ZA, Torres-Lopez V, Murthy SB, Kamel H, Shoamanesh A, Al-Shahi Salman R, Rosand J, Ziai WC, Hanley DF, Woo D, Matouk CC, Sansing LH, Falcone GJ, Sheth KN. Racial/ethnic disparities in the risk of intracerebral hemorrhage recurrence. Neurology 2019, 94: e314-e322. PMID: 31831597, PMCID: PMC7108806, DOI: 10.1212/wnl.0000000000008737.Peer-Reviewed Original ResearchPoor Outcomes Related to Anterior Extension of Large Hemispheric Infarction: Topographic Analysis of GAMES-RP Trial MRI Scans
Payabvash S, Falcone GJ, Sze GK, Jain A, Beslow LA, Petersen NH, Sheth KN, Kimberly WT. Poor Outcomes Related to Anterior Extension of Large Hemispheric Infarction: Topographic Analysis of GAMES-RP Trial MRI Scans. Journal Of Stroke And Cerebrovascular Diseases 2019, 29: 104488. PMID: 31787498, PMCID: PMC8820410, DOI: 10.1016/j.jstrokecerebrovasdis.2019.104488.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, IntravenousAgedAnterior Cerebral ArteryCerebrovascular CirculationCerebrumClinical Trials as TopicClinical Trials, Phase II as TopicDiffusion Magnetic Resonance ImagingDisability EvaluationExtremitiesFemaleGlyburideHumansHypoglycemic AgentsInfarction, Anterior Cerebral ArteryInfarction, Middle Cerebral ArteryMaleMiddle AgedMiddle Cerebral ArteryPatient AdmissionPredictive Value of TestsRecovery of FunctionRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsLarge hemispheric infarctionInfarct volumeIndependent predictorsInfarct lesionsHemispheric infarctionHealth Stroke Scale total scorePost-stroke day 3Anterior cerebral artery territoryTotal scoreLeft MCA infarctLeg motor functionNIHSS total scoreHours of onsetOnly independent predictorPoor functional outcomeBorder zoneScale total scoreAnterior extensionMultivariate regression analysisVoxel-wise analysisLHI patientsAdmission NIHSSArtery territoryGlibenclamide treatmentMCA infarctEarly Prognostication of 1-Year Outcome After Subarachnoid Hemorrhage: The FRESH Score Validation
Witsch J, Kuohn L, Hebert R, Cord B, Sansing L, Gilmore EJ, Hwang DY, Petersen N, Falcone GJ, Matouk C, Sheth KN. Early Prognostication of 1-Year Outcome After Subarachnoid Hemorrhage: The FRESH Score Validation. Journal Of Stroke And Cerebrovascular Diseases 2019, 28: 104280. PMID: 31326270, DOI: 10.1016/j.jstrokecerebrovasdis.2019.06.038.Peer-Reviewed Original ResearchConceptsSpontaneous subarachnoid hemorrhageModified Rankin ScaleLong-term outcomesSubarachnoid hemorrhageUnfavorable outcomePercent of patientsExclusion of patientsStratification of patientsScore variablesAneurysmal etiologyBleeding sourceRankin ScaleFunctional outcomeMean ageEarly prognosticationPrognostication scoresStudy investigatorsHospital resourcesPatientsDisability partAneurysm coilingOutcomesHigh gradeCharacteristic curveHemorrhageAssociation of Apolipoprotein E With Intracerebral Hemorrhage Risk by Race/Ethnicity
Marini S, Crawford K, Morotti A, Lee MJ, Pezzini A, Moomaw CJ, Flaherty ML, Montaner J, Roquer J, Jimenez-Conde J, Giralt-Steinhauer E, Elosua R, Cuadrado-Godia E, Soriano-Tarraga C, Slowik A, Jagiella JM, Pera J, Urbanik A, Pichler A, Hansen BM, McCauley JL, Tirschwell DL, Selim M, Brown DL, Silliman SL, Worrall BB, Meschia JF, Kidwell CS, Testai FD, Kittner SJ, Schmidt H, Enzinger C, Deary IJ, Rannikmae K, Samarasekera N, Salman RA, Sudlow CL, Klijn CJM, van Nieuwenhuizen KM, Fernandez-Cadenas I, Delgado P, Norrving B, Lindgren A, Goldstein JN, Viswanathan A, Greenberg SM, Falcone GJ, Biffi A, Langefeld CD, Woo D, Rosand J, Anderson CD. Association of Apolipoprotein E With Intracerebral Hemorrhage Risk by Race/Ethnicity. JAMA Neurology 2019, 76: 480-491. PMID: 30726504, PMCID: PMC6459133, DOI: 10.1001/jamaneurol.2018.4519.Peer-Reviewed Original ResearchConceptsRace/ethnicityIntracerebral hemorrhageICH riskPotent genetic risk factorApolipoprotein E (APOE) ε4 alleleAPOE allele statusBurden of hypertensionPopulation-based studyPrimary intracerebral hemorrhageIntracerebral hemorrhage riskCase-control studyAssociation of APOEPropensity score analysisGenetic risk factorsWhite participantsRace/ethnic groupsHypertension burdenHemorrhage riskClinical variablesInternational Stroke Genetics ConsortiumRisk factorsSecondary causesΕ2 alleleICH casesApolipoprotein E
2018
Cholesterol levels, statins, and spontaneous intracerebral hemorrhage
Falcone GJ, Gurol ME. Cholesterol levels, statins, and spontaneous intracerebral hemorrhage. Neurology 2018, 91: 197-198. PMID: 29970403, DOI: 10.1212/wnl.0000000000005898.Peer-Reviewed Original ResearchAnalysis of shared heritability in common disorders of the brain
Consortium T, Anttila V, Bulik-Sullivan B, Finucane HK, Walters RK, Bras J, Duncan L, Escott-Price V, Falcone GJ, Gormley P, Malik R, Patsopoulos NA, Ripke S, Wei Z, Yu D, Lee PH, Turley P, Grenier-Boley B, Chouraki V, Kamatani Y, Berr C, Letenneur L, Hannequin D, Amouyel P, Boland A, Deleuze JF, Duron E, Vardarajan BN, Reitz C, Goate AM, Huentelman MJ, Kamboh MI, Larson EB, Rogaeva E, St George-Hyslop P, Hakonarson H, Kukull WA, Farrer LA, Barnes LL, Beach TG, Demirci FY, Head E, Hulette CM, Jicha GA, Kauwe JSK, Kaye JA, Leverenz JB, Levey AI, Lieberman AP, Pankratz VS, Poon WW, Quinn JF, Saykin AJ, Schneider LS, Smith AG, Sonnen JA, Stern RA, Van Deerlin VM, Van Eldik LJ, Harold D, Russo G, Rubinsztein DC, Bayer A, Tsolaki M, Proitsi P, Fox NC, Hampel H, Owen MJ, Mead S, Passmore P, Morgan K, Nöthen MM, Schott J, Rossor M, Lupton M, Hoffmann P, Kornhuber J, Lawlor B, McQuillin A, Al-Chalabi A, Bis J, Ruiz A, Boada M, Seshadri S, Beiser A, Rice K, van der Lee S, De Jager P, Geschwind D, Riemenschneider M, Riedel-Heller S, Rotter J, Ransmayr G, Hyman B, Cruchaga C, Alegret M, Winsvold B, Palta P, Farh K, Cuenca-Leon E, Furlotte N, Kurth T, Ligthart L, Terwindt G, Freilinger T, Ran C, Gordon S, Borck G, Adams H, Lehtimäki T, Wedenoja J, Buring J, Schürks M, Hrafnsdottir M, Hottenga J, Penninx B, Artto V, Kaunisto M, Vepsäläinen S, Martin N, Montgomery G, Kurki M, Hämäläinen E, Huang H, Huang J, Sandor C, Webber C, Muller-Myhsok B, Schreiber S, Salomaa V, Loehrer E, Göbel H, Macaya A, Pozo-Rosich P, Hansen T, Werge T, Kaprio J, Metspalu A, Kubisch C, Ferrari M, Belin A, van den Maagdenberg A, Zwart J, Boomsma D, Eriksson N, Olesen J, Chasman D, Nyholt D, Anney R, Avbersek A, Baum L, Berkovic S, Bradfield J, Buono R, Catarino C, Cossette P, De Jonghe P, Depondt C, Dlugos D, Ferraro T, French J, Hjalgrim H, Jamnadas-Khoda J, Kälviäinen R, Kunz W, Lerche H, Leu C, Lindhout D, Lo W, Lowenstein D, McCormack M, Møller R, Molloy A, Ng P, Oliver K, Privitera M, Radtke R, Ruppert A, Sander T, Schachter S, Schankin C, Scheffer I, Schoch S, Sisodiya S, Smith P, Sperling M, Striano P, Surges R, Thomas G, Visscher F, Whelan C, Zara F, Heinzen E, Marson A, Becker F, Stroink H, Zimprich F, Gasser T, Gibbs R, Heutink P, Martinez M, Morris H, Sharma M, Ryten M, Mok K, Pulit S, Bevan S, Holliday E, Attia J, Battey T, Boncoraglio G, Thijs V, Chen W, Mitchell B, Rothwell P, Sharma P, Sudlow C, Vicente A, Markus H, Kourkoulis C, Pera J, Raffeld M, Silliman S, Perica V, Thornton L, Huckins L, Rayner N, Lewis C, Gratacos M, Rybakowski F, Keski-Rahkonen A, Raevuori A, Hudson J, Reichborn-Kjennerud T, Monteleone P, Karwautz A, Mannik K, Baker J, O’Toole J, Trace S, Davis O, Helder S, Ehrlich S, Herpertz-Dahlmann B, Danner U, van Elburg A, Clementi M, Forzan M, Docampo E, Lissowska J, Hauser J, Tortorella A, Maj M, Gonidakis F, Tziouvas K, Papezova H, Yilmaz Z, Wagner G, Cohen-Woods S, Herms S, Julià A, Rabionet R, Dick D, Ripatti S, Andreassen O, Espeseth T, Lundervold A, Steen V, Pinto D, Scherer S, Aschauer H, Schosser A, Alfredsson L, Padyukov L, Halmi K, Mitchell J, Strober M, Bergen A, Kaye W, Szatkiewicz J, Cormand B, Ramos-Quiroga J, Sánchez-Mora C, Ribasés M, Casas M, Hervas A, Arranz M, Haavik J, Zayats T, Johansson S, Williams N, Elia J, Dempfle A, Rothenberger A, Kuntsi J, Oades R, Banaschewski T, Franke B, Buitelaar J, Vasquez A, Doyle A, Reif A, Lesch K, Freitag C, Rivero O, Palmason H, Romanos M, Langley K, Rietschel M, Witt S, Dalsgaard S, Børglum A, Waldman I, Wilmot B, Molly N, Bau C, Crosbie J, Schachar R, Loo S, McGough J, Grevet E, Medland S, Robinson E, Weiss L, Bacchelli E, Bailey A, Bal V, Battaglia A, Betancur C, Bolton P, Cantor R, Celestino-Soper P, Dawson G, De Rubeis S, Duque F, Green A, Klauck S, Leboyer M, Levitt P, Maestrini E, Mane S, De-Luca D, Parr J, Regan R, Reichenberg A, Sandin S, Vorstman J, Wassink T, Wijsman E, Cook E, Santangelo S, Delorme R, Rogé B, Magalhaes T, Arking D, Schulze T, Thompson R, Strohmaier J, Matthews K, Melle I, Morris D, Blackwood D, McIntosh A, Bergen S, Schalling M, Jamain S, Maaser A, Fischer S, Reinbold C, Fullerton J, Grigoroiu-Serbanescu M, Guzman-Parra J, Mayoral F, Schofield P, Cichon S, Mühleisen T, Degenhardt F, Schumacher J, Bauer M, Mitchell P, Gershon E, Rice J, Potash J, Zandi P, Craddock N, Ferrier I, Alda M, Rouleau G, Turecki G, Ophoff R, Pato C, Anjorin A, Stahl E, Leber M, Czerski P, Edenberg H, Cruceanu C, Jones I, Posthuma D, Andlauer T, Forstner A, Streit F, Baune B, Air T, Sinnamon G, Wray N, MacIntyre D, Porteous D, Homuth G, Rivera M, Grove J, Middeldorp C, Hickie I, Pergadia M, Mehta D, Smit J, Jansen R, de Geus E, Dunn E, Li Q, Nauck M, Schoevers R, Beekman A, Knowles J, Viktorin A, Arnold P, Barr C, Bedoya-Berrio G, Bienvenu O, Brentani H, Burton C, Camarena B, Cappi C, Cath D, Cavallini M, Cusi D, Darrow S, Denys D, Derks E, Dietrich A, Fernandez T, Figee M, Freimer N, Gerber G, Grados M, Greenberg E, Hanna G, Hartmann A, Hirschtritt M, Hoekstra P, Huang A, Huyser C, Illmann C, Jenike M, Kuperman S, Leventhal B, Lochner C, Lyon G, Macciardi F, Madruga-Garrido M, Malaty I, Maras A, McGrath L, Miguel E, Mir P, Nestadt G, Nicolini H, Okun M, Pakstis A, Paschou P, Piacentini J, Pittenger C, Plessen K, Ramensky V, Ramos E, Reus V, Richter M, Riddle M, Robertson M, Roessner V, Rosário M, Samuels J, Sandor P, Stein D, Tsetsos F, Van Nieuwerburgh F, Weatherall S, Wendland J, Wolanczyk T, Worbe Y, Zai G, Goes F, McLaughlin N, Nestadt P, Grabe H, Depienne C, Konkashbaev A, Lanzagorta N, Valencia-Duarte A, Bramon E, Buccola N, Cahn W, Cairns M, Chong S, Cohen D, Crespo-Facorro B, Crowley J, Davidson M, DeLisi L, Dinan T, Donohoe G, Drapeau E, Duan J, Haan L, Hougaard D, Karachanak-Yankova S, Khrunin A, Klovins J, Kučinskas V, Keong J, Limborska S, Loughland C, Lönnqvist J, Maher B, Mattheisen M, McDonald C, Murphy K, Murray R, Nenadic I, van Os J, Pantelis C, Pato M, Petryshen T, Quested D, Roussos P, Sanders A, Schall U, Schwab S, Sim K, So H, Stögmann E, Subramaniam M, Toncheva D, Waddington J, Walters J, Weiser M, Cheng W, Cloninger R, Curtis D, Gejman P, Henskens F, Mattingsdal M, Oh S, Scott R, Webb B, Breen G, Churchhouse C, Bulik C, Daly M, Dichgans M, Faraone S, Guerreiro R, Holmans P, Kendler K, Koeleman B, Mathews C, Price A, Scharf J, Sklar P, Williams J, Wood N, Cotsapas C, Palotie A, Smoller J, Sullivan P, Rosand J, Corvin A, Neale B. Analysis of shared heritability in common disorders of the brain. Science 2018, 360 PMID: 29930110, PMCID: PMC6097237, DOI: 10.1126/science.aap8757.Peer-Reviewed Original ResearchConceptsPsychiatric disordersBrain disordersCommon variant riskRisk factorsCommon disorderNeurological disordersDiagnostic misclassificationBrain phenotypesCommon genetic variationControl participantsDisordersVariant riskPhenotypic heterogeneityBrainEtiologic overlapGenetic sharingGenome-wide association studiesCognitive measuresAssociation studiesPhenotypeMultiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes
Malik R, Chauhan G, Traylor M, Sargurupremraj M, Okada Y, Mishra A, Rutten-Jacobs L, Giese AK, van der Laan SW, Gretarsdottir S, Anderson CD, Chong M, Adams HHH, Ago T, Almgren P, Amouyel P, Ay H, Bartz TM, Benavente OR, Bevan S, Boncoraglio GB, Brown RD, Butterworth AS, Carrera C, Carty CL, Chasman DI, Chen WM, Cole JW, Correa A, Cotlarciuc I, Cruchaga C, Danesh J, de Bakker PIW, DeStefano AL, den Hoed M, Duan Q, Engelter ST, Falcone GJ, Gottesman RF, Grewal RP, Gudnason V, Gustafsson S, Haessler J, Harris TB, Hassan A, Havulinna AS, Heckbert SR, Holliday EG, Howard G, Hsu FC, Hyacinth HI, Ikram MA, Ingelsson E, Irvin MR, Jian X, Jiménez-Conde J, Johnson JA, Jukema JW, Kanai M, Keene KL, Kissela BM, Kleindorfer DO, Kooperberg C, Kubo M, Lange LA, Langefeld CD, Langenberg C, Launer LJ, Lee JM, Lemmens R, Leys D, Lewis CM, Lin WY, Lindgren AG, Lorentzen E, Magnusson PK, Maguire J, Manichaikul A, McArdle PF, Meschia JF, Mitchell BD, Mosley TH, Nalls MA, Ninomiya T, O’Donnell M, Psaty BM, Pulit SL, Rannikmäe K, Reiner AP, Rexrode KM, Rice K, Rich SS, Ridker PM, Rost NS, Rothwell PM, Rotter JI, Rundek T, Sacco RL, Sakaue S, Sale MM, Salomaa V, Sapkota BR, Schmidt R, Schmidt CO, Schminke U, Sharma P, Slowik A, Sudlow CLM, Tanislav C, Tatlisumak T, Taylor KD, Thijs VNS, Thorleifsson G, Thorsteinsdottir U, Tiedt S, Trompet S, Tzourio C, van Duijn CM, Walters M, Wareham NJ, Wassertheil-Smoller S, Wilson JG, Wiggins KL, Yang Q, Yusuf S, Bis J, Pastinen T, Ruusalepp A, Schadt E, Koplev S, Björkegren J, Codoni V, Civelek M, Smith N, Trégouët D, Christophersen I, Roselli C, Lubitz S, Ellinor P, Tai E, Kooner J, Kato N, He J, van der Harst P, Elliott P, Chambers J, Takeuchi F, Johnson A, Sanghera D, Melander O, Jern C, Strbian D, Fernandez-Cadenas I, Longstreth W, Rolfs A, Hata J, Woo D, Rosand J, Pare G, Hopewell J, Saleheen D, Stefansson K, Worrall B, Kittner S, Seshadri S, Fornage M, Markus H, Howson J, Kamatani Y, Debette S, Dichgans M. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nature Genetics 2018, 50: 524-537. PMID: 29531354, PMCID: PMC5968830, DOI: 10.1038/s41588-018-0058-3.Peer-Reviewed Original ResearchConceptsStroke risk lociRisk lociGenome-wide association studiesNew susceptibility lociGenetic variationIndividual lociVascular traitsBioinformatics analysisAssociation studiesCardiac traitsSusceptibility lociDrug targetsLociRisk variantsScore regressionGenesFunctional datasetsTraitsGenetic risk scoreDistinct associationsPathwayVariantsTarget
2017
Genetics of Spontaneous Intracerebral Hemorrhage
Falcone GJ, Woo D. Genetics of Spontaneous Intracerebral Hemorrhage. Stroke 2017, 48: 3420-3424. PMID: 29114093, PMCID: PMC5777521, DOI: 10.1161/strokeaha.117.017072.Peer-Reviewed Original Research
2015
Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke
Traylor M, Zhang CR, Adib-Samii P, Devan WJ, Parsons OE, Lanfranconi S, Gregory S, Cloonan L, Falcone GJ, Radmanesh F, Fitzpatrick K, Kanakis A, Barrick TR, Moynihan B, Lewis CM, Boncoraglio GB, Lemmens R, Thijs V, Sudlow C, Wardlaw J, Rothwell PM, Meschia JF, Worrall BB, Levi C, Bevan S, Furie KL, Dichgans M, Rosand J, Markus HS, Rost N, Smoller S, Sorkin J, Wang X, Selim M, Pikula A, Wolf P, Debette S, Seshadri S, de Bakker P, Chasman D, Rexrode K, Chen I, Rotter J, Luke M, Sale M, Lee T, Chang K, Elkind M, Goldstein L, James M, Breteler M, O'Donnell C, Leys D, Carty C, Kidwell C, Olesen J, Sharma P, Rich S, Tatlisumak T, Happola O, Bijlenga P, Soriano C, Giralt E, Roquer J, Jimenez-Conde J, Cotlarcius I, Hardy J, Korostynski M, Boncoraglio G, Ballabio E, Parati E, Mateusz A, Urbanik A, Dziedzic T, Jagiella J, Gasowski J, Wnuk M, Olszanecki R, Pera J, Slowik A, Juchniewicz K, Levi C, Nyquist P, Cendes I, Cabral N, Franca P, Goncalves A, Keller L, Crisby M, Kostulas K, Lemmens R, Ahmadi K, Opherk C, Duering M, Dichgans M, Malik R, Gonik M, Staals J, Melander O, Burri P, Sadr-Nabavi A, Romero J, Biffi A, Anderson C, Falcone G, Brouwers B, Rosand J, Rost N, Du R, Kourkoulis C, Battey T, Lubitz S, Mueller-Myhsok B, Meschia J, Brott T, Pare G, Pichler A, Enzinger C, Schmidt H, Schmidt R, Seiler S, Blanton S, Yamada Y, Bersano A, Rundek T, Sacco R, Yvonne Chan Y, Gschwendtner A, Deng Z, Barr T, Gwinn K, Corriveau R, Singleton A, Waddy S, Launer L, Chen C, Le K, Lee W, Tan E, Olugbodi A, Rothwell P, Schilling S, Mok V, Lebedeva E, Jern C, Jood K, Olsson S, Kim H, Lee C, Kilarski L, Markus H, Peycke J, Bevan S, Sheu W, Chiou H, Chern J, Giraldo E, Taqi M, Jain V, Lam O, Howard G, Woo D, Kittner S, Mitchell B, Cole J, O'Connell J, Milewicz D, Illoh K, Worrall B, Stine C, Karaszewski B, Werring D, Sofat R, Smalley J, Lindgren A, Hansen B, Norrving B, Smith G, Martín J, Thijs V, Klijn K, van't Hof F, Algra A, Macleod M, Perry R, Arnett D, Pezzini A, Padovani A, Cramer S, Fisher M, Saleheen D, Broderick J, Kissela B, Doney A, Sudlow C, Rannikmae K, Silliman S, McDonough C, Walters M, Pedersen A, Nakagawa K, Chang C, Dobbins M, McArdle P, Chang Y, Brown R, Brown D, Holliday E, Kalaria R, Maguire J, Attia J, Farrall M, Giese A, Fornage M, Majersik J, Cushman M, Keene K, Bennett S, Tirschwell D, Psaty B, Reiner A, Longstreth W, Spence D, Montaner J, Fernandez-Cadenas I, Langefeld C, Bushnell C, Heitsch L, Lee J, Sheth K. Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke. Neurology 2015, 86: 146-153. PMID: 26674333, PMCID: PMC4731688, DOI: 10.1212/wnl.0000000000002263.Peer-Reviewed Original ResearchConceptsGenome-wide significant associationGenetic associationGenome-wide levelGenome-wide significanceMeta-analysis testingIndependent lociSuggestive lociGenetic lociLociDisease mechanismsNovel associationsGenetic susceptibilityPopulationCommon genetic susceptibilityDirection of effectReference dataset