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 participantsSocioeconomic and medical determinants of state‐level subjective cognitive decline in the United States
de Havenon A, Stulberg E, Littig L, Wong K, Sarpong D, Li V, Sharma R, Falcone G, Williamson J, Pajewski N, Gottesman R, Brickman A, Sheth K. Socioeconomic and medical determinants of state‐level subjective cognitive decline in the United States. Alzheimer's & Dementia 2024 PMID: 39351858, DOI: 10.1002/alz.14220.Peer-Reviewed Original ResearchSubjective cognitive declinePrevalence of diabetesPrevalence of povertyMedical determinantsBehavioral Risk Factor Surveillance SystemRisk Factor Surveillance SystemCognitive declinePrevalence of subjective cognitive declineBurden of cognitive declinePopulation levelState-level prevalenceMedical risk factorsFunctional impairmentState-level associationsPhysician densityUnited StatesMedical factorsRates of povertyState-level analysisHousehold incomePrimary outcomeCollege educationSurveillance systemRisk factorsEthnic minoritiesWhite matter hyperintensity on MRI and plasma Aβ42/40 ratio additively increase the risk of cognitive impairment in hypertensive adults
de Havenon A, Gottesman R, Willamson J, Rost N, Sharma R, Li V, Littig L, Stulberg E, Falcone G, Prabhakaran S, Schneider A, Sheth K, Pajewski N, Brickman A. White matter hyperintensity on MRI and plasma Aβ42/40 ratio additively increase the risk of cognitive impairment in hypertensive adults. Alzheimer's & Dementia 2024, 20: 6810-6819. PMID: 39229896, PMCID: PMC11485393, DOI: 10.1002/alz.14126.Peer-Reviewed Original ResearchRisk of cognitive impairmentYears of follow-upCognitive impairmentExposure categoriesHigh-risk categoryWhite matter hyperintensitySystolic Blood Pressure Intervention TrialRates of cognitive impairmentSPRINT-MIND trialDementia preventionFollow-upLow-risk categoryMIND trialAdditional risk factorsDevelopment of cognitive impairmentIntervention trialsHypertensive adultsHazard ratioRisk factorsHigh riskLow riskVascular healthTertileRiskImpairmentThe predictive validity of a Brain Care Score for late-life depression and a composite outcome of dementia, stroke, and late-life depression: data from the UK Biobank cohort
Singh S, Rivier C, Papier K, Chemali Z, Gutierrez-Martinez L, Parodi L, Mayerhofer E, Senff J, Clocchiatti-Tuozzo S, Nunley C, Newhouse A, Ouyang A, Westover M, Tanzi R, Lazar R, Pikula A, Ibrahim S, Brouwers H, Howard V, Howard G, Yechoor N, Littlejohns T, Sheth K, Rosand J, Fricchione G, Anderson C, Falcone G. The predictive validity of a Brain Care Score for late-life depression and a composite outcome of dementia, stroke, and late-life depression: data from the UK Biobank cohort. Frontiers In Psychiatry 2024, 15: 1373797. PMID: 39109366, PMCID: PMC11301016, DOI: 10.3389/fpsyt.2024.1373797.Peer-Reviewed Original ResearchIncident late-life depressionLate-life depressionBrain health outcomesCare scoresHealth outcomesHealthy lifestyle choicesOutcome of dementiaUK Biobank cohortRisk factorsComposite outcomeCox proportional hazards modelsCare providersBiobank cohortProportional hazards modelIncident casesMultivariate Cox proportional hazards modelRisk of strokeLifestyle changesClinical careLifestyle choicesDementiaBrain healthFuture depressionBaseline evaluationComplete dataOral Health as a Risk Factor for Spontaneous Intracerebral Hemorrhage: A Mendelian Randomization Analysis (S34.001)
Rivier C, Clocchiatti-Tuozzo S, Huo S, Renedo D, Hawkes M, Sunmonu N, Sheth K, Falcone G. Oral Health as a Risk Factor for Spontaneous Intracerebral Hemorrhage: A Mendelian Randomization Analysis (S34.001). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000204999.Peer-Reviewed Original ResearchUncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan
Tran A, Zeevi T, Haider S, Abou Karam G, Berson E, Tharmaseelan H, Qureshi A, Sanelli P, Werring D, Malhotra A, Petersen N, de Havenon A, Falcone G, Sheth K, Payabvash S. Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. Npj Digital Medicine 2024, 7: 26. PMID: 38321131, PMCID: PMC10847454, DOI: 10.1038/s41746-024-01007-w.Peer-Reviewed Original ResearchDeep learning modelsHematoma expansionIntracerebral hemorrhageICH expansionComputed tomographyNon-contrast head CTNon-contrast head computed tomographyHigh risk of HEHead computed tomographyHigh-confidence predictionsRisk of HENon-contrast headReceiver operating characteristic areaModifiable risk factorsMonte Carlo dropoutOperating characteristics areaPotential treatment targetHead CTVisual markersIdentified patientsAutomated deep learning modelDataset of patientsRisk factorsHigh riskPatientsCerebral Amyloid Angiopathy and Risk of Isolated Nontraumatic Subdural Hemorrhage
Rivier C, Kamel H, Sheth K, Iadecola C, Gupta A, de Leon M, Ross E, Falcone G, Murthy S. Cerebral Amyloid Angiopathy and Risk of Isolated Nontraumatic Subdural Hemorrhage. JAMA Neurology 2024, 81: 163-169. PMID: 38147345, PMCID: PMC10751656, DOI: 10.1001/jamaneurol.2023.4918.Peer-Reviewed Original ResearchCerebral amyloid angiopathyMultivariable logistic regression analysisSubdural hemorrhageLogistic regression analysisIntracerebral hemorrhageIntracranial hemorrhageUK Biobank cohortAmyloid angiopathyMean ageUS cohortRisk factorsHigher oddsDiagnosis of CAAPopulation-based cohort studyBiobank cohortClinical Modification diagnosis codesCAA-related intracerebral hemorrhageCox proportional hazards modelRegression analysisAntithrombotic medication useIndependent risk factorCox regression analysisMultivariable logistic regressionNovel risk factorsSpontaneous intracerebral hemorrhageTime-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome
Karam G, Chen M, Zeevi D, Harms B, Torres-Lopez V, Rivier C, Malhotra A, de Havenon A, Falcone G, Sheth K, Payabvash S. Time-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome. Diagnostics 2024, 14: 308. PMID: 38337824, PMCID: PMC10855868, DOI: 10.3390/diagnostics14030308.Peer-Reviewed Original ResearchPredictors of NDSupratentorial intracerebral hemorrhageHematoma expansionIntracerebral hemorrhageNeurological deteriorationPoor outcomeNIH Stroke ScalePost-ICHFunctional outcomesMild symptomsHematoma expansion ratesIntracerebral hemorrhage onsetAssociation of HEModifiable risk factorsGlasgow Coma ScaleBaseline CTHematoma growthConsecutive patientsHead CTSCAN-3Follow-upRate of HEComa ScaleRisk factorsHematoma
2023
Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia
Clocchiatti‐Tuozzo S, Rivier C, Renedo D, Lopez V, Geer J, Miner B, Yaggi H, de Havenon A, Payabvash S, Sheth K, Gill T, Falcone G. Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia. Journal Of The American Heart Association 2023, 13: e031514. PMID: 38156552, PMCID: PMC10863828, DOI: 10.1161/jaha.123.031514.Peer-Reviewed Original ResearchConceptsSuboptimal sleep durationWhite matter hyperintensitiesMiddle-aged individualsLong sleep durationLarger WMH volumeSleep durationMiddle-aged adultsHealth profileWMH volumeAmerican Heart Association's LifeAsymptomatic middle-aged adultsWMH presenceVolume of WMHOptimal sleepSelf-reported sleep durationModifiable risk factorsWhite matter tractsProspective magnetic resonanceSimple 7Cardiovascular healthRisk factorsShort sleepMatter hyperintensitiesHigh riskEarly interventionAssociation of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank.
Rivier C, Renedo D, de Havenon A, Sunmonu N, Gill T, Payabvash S, Sheth K, Falcone G. Association of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank. Neurology 2023, 102: e208010. PMID: 38165331, PMCID: PMC10870735, DOI: 10.1212/wnl.0000000000208010.Peer-Reviewed Original ResearchConceptsPoor oral healthOral healthBrain healthRisk factorsNeuroimaging markerWMH volumeHealth profileMD scoreSelf-reported poor oral healthCross-sectional neuroimaging studiesFractional anisotropyWhite matter hyperintensity volumeModifiable risk factorsWhite matter injuryPresence of denturesMendelian randomizationMiddle-aged personsFA scoreMiddle-aged participantsLoose teethCardiovascular diseaseHyperintensity volumeBrain MRIModifiable processEarly interventionImprovement in the Prediction of Cerebrovascular Events With White Matter Hyperintensity
de Havenon A, Smith E, Sharma R, Falcone G, Bangad A, Prabhakaran S, Sheth K. Improvement in the Prediction of Cerebrovascular Events With White Matter Hyperintensity. Journal Of The American Heart Association 2023, 12: e029374. PMID: 37345754, PMCID: PMC10356061, DOI: 10.1161/jaha.123.029374.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesIncident strokePrimary outcomeHypertensive individualsMatter hyperintensitiesAtherosclerotic cardiovascular disease risk scoreCognitive impairmentCardiovascular disease risk scoreVascular risk factorsCurrent cigarette smokingDisease risk scoreMagnetic resonance imagingLogistic regression modelsRandomization armCerebrovascular eventsVascular riskCigarette smokingPrognostic informationRisk factorsPrognostic abilityRisk scoreCognitive declineResonance imagingDeLong testStrokeIdentification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging
de Havenon A, Parasuram N, Crawford A, Mazurek M, Chavva I, Yadlapalli V, Iglesias J, Rosen M, Falcone G, Payabvash S, Sze G, Sharma R, Schiff S, Safdar B, Wira C, Kimberly W, Sheth K. Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging. Journal Of The American Heart Association 2023, 12: e029242. PMID: 37218590, PMCID: PMC10381997, DOI: 10.1161/jaha.122.029242.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesMagnetic resonance imagingSevere white matter hyperintensitiesConventional magnetic resonance imagingResonance imagingRetrospective cohortEmergency departmentMatter hyperintensitiesVascular risk factorsProspective observational studyVascular cognitive impairmentTesla magnetic resonance imagingArea Deprivation IndexProspective cohortAdult patientsAcute careRisk factorsCardiovascular diseaseObservational studyCognitive impairmentPatientsCare magnetic resonance imagingIntermodality agreementCohortDeprivation indexA 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 ResearchConceptsClinical 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
WORSE VASCULAR RISK FACTOR CONTROL IN PATIENTS WITH STROKE COMPARED TO PATIENTS WITH MYOCARDIAL INFARCTION
Leasure A, Acosta J, Schwartz A, Forman R, Sharma R, de Havenon A, Falcone G, Inzucchi S, Kernan W, Sheth K. WORSE VASCULAR RISK FACTOR CONTROL IN PATIENTS WITH STROKE COMPARED TO PATIENTS WITH MYOCARDIAL INFARCTION. Journal Of The American College Of Cardiology 2022, 79: 1504. DOI: 10.1016/s0735-1097(22)02495-0.Peer-Reviewed Original Research
2021
Mendelian Randomization in Stroke: A Powerful Approach to Causal Inference and Drug Target Validation
Acosta JN, Szejko N, Falcone GJ. Mendelian Randomization in Stroke: A Powerful Approach to Causal Inference and Drug Target Validation. Frontiers In Genetics 2021, 12: 683082. PMID: 34456968, PMCID: PMC8387928, DOI: 10.3389/fgene.2021.683082.Peer-Reviewed Original ResearchMendelian randomizationCardiovascular risk factorsRisk of strokeAvailable treatment optionsInflammation-related mechanismsIschemic strokeHemorrhagic strokeTreatment optionsRisk factorsLeading causeCurrent evidenceTherapeutic targetStrokeMR studiesNovel biological pathwaysDrug repurposingDrug developmentDrug target validationRandomizationTarget validationExposureBiological pathwaysCausal relationshipDiseaseObstructive 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 analysisCombining Imaging and Genetics to Predict Recurrence of Anticoagulation-Associated Intracerebral Hemorrhage
Biffi A, Urday S, Kubiszewski P, Gilkerson L, Sekar P, Rodriguez-Torres A, Bettin M, Charidimou A, Pasi M, Kourkoulis C, Schwab K, DiPucchio Z, Behymer T, Osborne J, Morgan M, Moomaw CJ, James ML, Greenberg SM, Viswanathan A, Gurol ME, Worrall BB, Testai FD, McCauley JL, Falcone GJ, Langefeld CD, Anderson CD, Kamel H, Woo D, Sheth KN, Rosand J. Combining Imaging and Genetics to Predict Recurrence of Anticoagulation-Associated Intracerebral Hemorrhage. Stroke 2020, 51: 2153-2160. PMID: 32517581, PMCID: PMC7311289, DOI: 10.1161/strokeaha.120.028310.Peer-Reviewed Original ResearchConceptsCortical superficial siderosisICH recurrenceCerebral microbleedsSuperficial siderosisIntracerebral hemorrhageRecurrent ICHMRI markersOral anticoagulation therapyPotent risk factorRecurrent hemorrhagic strokeLongitudinal cohort studyLow-risk categoryLow-risk individualsΕ2/ε4ICH survivorsAnticoagulation therapyCohort studyHemorrhagic strokeProspective studyRecurrence rateΕ4 variantRisk factorsClinical impactERICH studyΕ4 allele
2019
Association 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
Analysis 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 studiesPhenotype