2025
Leveraging local ancestry and cross-ancestry genetic architecture to improve genetic prediction of complex traits in admixed populations
Zhou G, Yolou I, Xie Y, Zhao H. Leveraging local ancestry and cross-ancestry genetic architecture to improve genetic prediction of complex traits in admixed populations. American Journal Of Human Genetics 2025, 112: 1923-1935. PMID: 40633541, PMCID: PMC12252582, DOI: 10.1016/j.ajhg.2025.06.010.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresAdmixed individualsNon-European populationsLocal ancestryTransferability of PRSPerformance of polygenic risk scoresAdmixed populationsCross-ancestryPolygenic risk score calculatorGenetic prediction of complex traitsGenetic predictionEffect sizePrediction of complex traitsPopulation ArchitectureUK BiobankPolygenic predictionAdmixed AmericansAncestry clustersGenetic architectureComplex traitsPRS modelRisk scoreGenetic variantsAncestryIndividualsRobust pleiotropy-decomposed polygenic scores identify distinct contributions to elevated coronary artery disease polygenic risk
Hu J, Ye Y, Zhang C, Ruan Y, Natarajan P, Zhao H. Robust pleiotropy-decomposed polygenic scores identify distinct contributions to elevated coronary artery disease polygenic risk. PLOS Computational Biology 2025, 21: e1013191. PMID: 40570042, PMCID: PMC12212871, DOI: 10.1371/journal.pcbi.1013191.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresCAD-PRSUK BiobankCoronary artery disease polygenic risk scoreSummary-level dataCAD-related traitsSamples of European ancestryCoronary artery diseaseHigh-risk individualsPotential genetic heterogeneityCurrent smokingPolygenic scoresPolygenic riskTargeted interventionsEuropean ancestryRisk scorePleiotropic regionsRisk predictionGenetic heterogeneityBiological functionsPleiotropySignificant interactionPhenotypic heterogeneityBlood pressureDisease interpretationA Bayesian approach to correcting the attenuation bias of regression using polygenic risk score
Zhou G, Qie X, Zhao H. A Bayesian approach to correcting the attenuation bias of regression using polygenic risk score. Genetics 2025, 229: iyaf018. PMID: 39891671, PMCID: PMC12168083, DOI: 10.1093/genetics/iyaf018.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresRisk scoreEstimation of regression coefficientsBayesian approachMeasurement error modelEstimation of coefficientsCoverage probabilityBayesian measurement error modelsAttenuation biasCredible intervalsCoefficient estimatesUK BiobankLogistic regressionMeasurement errorRegression coefficientsRegression modelsComplex traitsRegression analysisScoresEstimationError modelRegressionBiobankErrorCovariatesPolygenic Susceptibility to Diabetes and Poor Glycemic Control in Stroke Survivors
Demarais Z, Conlon C, Rivier C, Clocchiatti-Tuozzo S, Renedo D, Torres-Lopez V, Sheth K, Meeker D, Zhao H, Ohno-Machado L, Acosta J, Huo S, Falcone G. Polygenic Susceptibility to Diabetes and Poor Glycemic Control in Stroke Survivors. Neurology 2025, 104: e210276. PMID: 39889253, DOI: 10.1212/wnl.0000000000210276.Peer-Reviewed Original ResearchConceptsStroke survivorsWorse glycemic controlPoor glycemic controlStroke patientsAssociated with worse glycemic controlGlycemic controlPolygenic risk scoresClinical management of stroke patientsAssociated with poor glycemic controlManagement of stroke patientsCross-sectional designGenetic association studiesUncontrolled diabetesSusceptibility to T2DMUK BiobankType 2 diabetes mellitusAdverse vascular outcomesRisk scoreAssociation studiesHemoglobin A1cSurvivorsVascular outcomesSusceptibility to diabetesStrokeDiabetesThe left amygdala is genetically sexually-dimorphic: multi-omics analysis of structural MRI volumes
Gui Y, Zhou G, Cui S, Li H, Lu H, Zhao H. The left amygdala is genetically sexually-dimorphic: multi-omics analysis of structural MRI volumes. Translational Psychiatry 2025, 15: 17. PMID: 39843917, PMCID: PMC11754786, DOI: 10.1038/s41398-025-03223-8.Peer-Reviewed Original ResearchConceptsLeft amygdala volumePolygenic risk scoresLeft amygdalaSex differencesBrain volumeMental disordersAmygdala volumeBrain anatomyEffect of polygenic risk scoresStudy of sex differencesExamined sex differencesPsychiatric Genomics ConsortiumMechanisms of sex differencesSex-specific genetic correlationsGenetic correlation analysisAmygdalaStructural MRI volumesSexually-dimorphicGenetic correlationsBrainDisordersRNA-seq dataGenomics ConsortiumCell-type compositionKnowledge of genetic basisPerformance of Polygenic Risk Scores for Primary Open-Angle Glaucoma in Populations of African Descent
Chang-Wolf J, Kinzy T, Driessen S, Cruz L, Iyengar S, Peachey N, Aung T, Khor C, Williams S, Ramsay M, Olawoye O, Ashaye A, Klaver C, Hauser M, Thiadens A, Cooke Bailey J, Bonnemaijer P, Sanywia A, Cook C, Hassan H, Kanyaro N, Ntomoka C, Allingham R, van der Heide C, Taylor K, Rotter J, Wang S, ABDULLAHI S, Abu-Amero K, Anderson M, Akafo S, ALHASSAN M, Asimadu I, Ayyagari R, BAKAYOKO S, BIANGOUP NYAMSI P, Bowden D, Bromley W, Budenz D, Carmichael T, Challa P, Chen Y, Chuka-Okosa C, Costa V, Cruz D, DuBiner H, Ervin J, Feldman R, Flamme-Wiese M, Gaasterland D, Garnai S, Girkin C, GUIROU N, Guo X, Haines J, Hammond C, Herndon L, Hoffmann T, Hulette C, Hydara A, Igo Jr. R, Jorgenson E, KABWE J, KILANGALANGA N, Kizor-Akaraiwe N, Kuchtey R, LAMARI H, Li Z, Liebmann J, Liu Y, Loos R, Melo M, Moroi S, Msosa J, Mullins R, Nadkarni G, NAPO A, Ng M, Nunes H, Obeng-Nyarkoh E, Okeke A, Okeke S, OLANIYI O, Oliveira M, Pasquale L, Perez-Grossmann R, Pericak-Vance M, Qin X, RESNIKOFF S, Richards J, Schimiti R, Sim K, Sponsel W, Svidnicki P, Uche N, van Duijn C, Vasconcellos J, Wiggs J, Zangwill L, Risch N, Milea D, Weinreb R, Ashley-Koch A, Fingert J, Aslan M, Antonelli M, de Asis M, Bauer M, Brophy M, Concato J, Cunningham F, Freedman R, Gaziano M, Gleason T, Harvey P, Huang G, Kelsoe J, Kosten T, Lehner T, Lohr J, Marder S, Miller P, O Leary T, Patterson T, Peduzzi P, Przygodski R, Siever L, Sklar P, Strakowski S, Zhao H, Fanous A, Farwell W, Malhorta A, Mane S, Palacios P, Bigdeli T, Corsey M, Zaluda L, Johnson J, Sueiro M, Cavaliere D, Jeanpaul V, Maffucci A, Mancini L, Deen J, Muldoon G, Whitbourne S, Canive J, Adamson L, Calais L, Fuldauer G, Kushner R, Toney G, Lackey M, Mank A, Mahdavi N, Villarreal G, Muly E, Amin F, Dent M, Wold J, Fischer B, Elliott A, Felix C, Gill G, Parker P, Logan C, McAlpine J, DeLisi L, Reece S, Hammer M, Agbor‐Tabie D, Goodson W, Aslam M, Grainger M, Richtand N, Rybalsky A, Al Jurdi R, Boeckman E, Natividad T, Smith D, Stewart M, Torres S, Zhao Z, Mayeda A, Green A, Hofstetter J, Ngombu S, Scott M, Strasburger A, Sumner J, Paschall G, Mucciarelli J, Owen R, Theus S, Tompkins D, Potkin S, Reist C, Novin M, Khalaghizadeh S, Douyon R, Kumar N, Martinez B, Sponheim S, Bender T, Lucas H, Lyon A, Marggraf M, Sorensen L, Surerus C, Sison C, Amato J, Johnson D, Pagan‐Howard N, Adler L, Alerpin S, Leon T, Mattocks K, Araeva N, Sullivan J, Suppes T, Bratcher K, Drag L, Fischer E, Fujitani L, Gill S, Grimm D, Hoblyn J, Nguyen T, Nikolaev E, Shere L, Relova R, Vicencio A, Yip M, Hurford I, Acheampong S, Carfagno G, Haas G, Appelt C, Brown E, Chakraborty B, Kelly E, Klima G, Steinhauer S, Hurley R, Belle R, Eknoyan D, Johnson K, Lamotte J, Granholm E, Bradshaw K, Holden J, Jones R, Le T, Molina I, Peyton M, Ruiz I, Sally L, Tapp A, Devroy S, Jain V, Kilzieh N, Maus L, Miller K, Pope H, Wood A, Meyer E, Givens P, Hicks P, Justice S, McNair K, Pena J, Tharp D, Davis L, Ban M, Cheatum L, Darr P, Grayson W, Munford J, Whitfield B, Wilson E, Melnikoff S, Schwartz B, Tureson M, D Souza D, Forselius K, Ranganathan M, Rispoli L, Sather M, Colling C, Haakenson C, Kruegar D, Muralidhar S, Ramoni R, Breeling J, Chang K, O Donnell C, Tsao P, Moser J, Brewer J, Warren S, Argyres D, Stevens B, Humphries D, Do N, Shayan S, Nguyen X, Pyarajan S, Cho K, Hauser E, Sun Y, Wilson P, McArdle R, Dellitalia L, Harley J, Whittle J. Performance of Polygenic Risk Scores for Primary Open-Angle Glaucoma in Populations of African Descent. JAMA Ophthalmology 2025, 143: 7-14. PMID: 39541127, PMCID: PMC11565374, DOI: 10.1001/jamaophthalmol.2024.4784.Peer-Reviewed Original ResearchConceptsPrimary open-angle glaucomaEuropean ancestry groupsArea under the receiver operating characteristic curveAfrican descentSouth AfricaOpen-angle glaucomaCross-sectional studyIndividuals of African descentBaseline of ageAfrican ancestryOdds ratioGlaucoma patientsRisk stratificationMillion Veteran ProgramPolygenic risk scoresGenetics of glaucomaRisk scorePatients of African descentEuropean ancestryRisk quintileReceiver operating characteristic curveGhanaiansGhanaPopulations of African descentAmerican individuals
2024
Leveraging Functional Annotations Improves Cross-Population Genetic Risk Prediction
Ye Y, Xu L, Zhao H. Leveraging Functional Annotations Improves Cross-Population Genetic Risk Prediction. ICSA Book Series In Statistics 2024, 453-471. DOI: 10.1007/978-3-031-50690-1_18.Peer-Reviewed Original ResearchPolygenic risk scoresFunctional annotationGenetic risk predictionStandard PRSPost-GWAS analysisPolygenic risk score modelCross-population predictionNon-European populationsGenetic resultsGenetic studiesRisk predictionCross populationsAnnoPredPRS methodsUK BiobankAnnotationRisk scoreTraits/diseasesLDpredPopulationP+TPoor transferBiobankBayesian frameworkUsing clinical and genetic risk factors for risk prediction of 8 cancers in the UK Biobank
Hu J, Ye Y, Zhou G, Zhao H. Using clinical and genetic risk factors for risk prediction of 8 cancers in the UK Biobank. JNCI Cancer Spectrum 2024, 8: pkae008. PMID: 38366150, PMCID: PMC10919929, DOI: 10.1093/jncics/pkae008.Peer-Reviewed Original ResearchPolygenic risk scoresUK BiobankCancer riskClinical risk factorsRisk of breast cancerRisk factorsPolygenic risk score modelHigh risk of developing cancerRisk of developing cancerLate-onset patientsRisk predictionClinical variablesHigh-risk individualsCox proportional hazards modelsProportional hazards modelGenetic risk factorsBaseline traitsClinical risk modelRisk scoreEarly-onset patientsHazards modelLate-onset groupEarly-onset groupBreast cancerHigh riskCorrelates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort
Barr P, Bigdeli T, Meyers J, Peterson R, Sanchez-Roige S, Mallard T, Dick D, Harden K, Wilkinson A, Graham D, Nielsen D, Swann A, Lipsky R, Kosten T, Aslan M, Harvey P, Kimbrel N, Beckham J, Aslan M, Antonelli M, de Asis M, Bauer M, Brophy M, Concato J, Cunningham F, Freedman R, Gaziano M, Gleason T, Harvey P, Huang G, Kelsoe J, Kosten T, Lehner T, Lohr J, Marder S, Miller P, O Leary T, Patterson T, Peduzzi P, Przygodski R, Siever L, Sklar P, Strakowski S, Zhao H, Fanous A, Farwell W, Malhorta A, Mane S, Palacios P, Bigdeli T, Corsey M, Zaluda L, Johnson J, Sueiro M, Cavaliere D, Jeanpaul V, Maffucci A, Mancini L, Deen J, Muldoon G, Whitbourne S, Canive J, Adamson L, Calais L, Fuldauer G, Kushner R, Toney G, Lackey M, Mank A, Mahdavi N, Villarreal G, Muly E, Amin F, Dent M, Wold J, Fischer B, Elliott A, Felix C, Gill G, Parker P, Logan C, McAlpine J, DeLisi L, Reece S, Hammer M, Agbor-Tabie D, Goodson W, Aslam M, Grainger M, Richtand N, Rybalsky A, Al Jurdi R, Boeckman E, Natividad T, Smith D, Stewart M, Torres S, Zhao Z, Mayeda A, Green A, Hofstetter J, Ngombu S, Scott M, Strasburger A, Sumner J, Paschall G, Mucciarelli J, Owen R, Theus S, Tompkins D, Potkin S, Reist C, Novin M, Khalaghizadeh S, Douyon R, Kumar N, Martinez B, Sponheim S, Bender T, Lucas H, Lyon A, Marggraf M, Sorensen L, Surerus C, Sison C, Amato J, Johnson D, Pagan-Howard N, Adler L, Alerpin S, Leon T, Mattocks K, Araeva N, Sullivan J, Suppes T, Bratcher K, Drag L, Fischer E, Fujitani L, Gill S, Grimm D, Hoblyn J, Nguyen T, Nikolaev E, Shere L, Relova R, Vicencio A, Yip M, Hurford I, Acheampong S, Carfagno G, Haas G, Appelt C, Brown E, Chakraborty B, Kelly E, Klima G, Steinhauer S, Hurley R, Belle R, Eknoyan D, Johnson K, Lamotte J, Granholm E, Bradshaw K, Holden J, Jones R, Le T, Molina I, Peyton M, Ruiz I, Sally L, Tapp A, Devroy S, Jain V, Kilzieh N, Maus L, Miller K, Pope H, Wood A, Meyer E, Givens P, Hicks P, Justice S, McNair K, Pena J, Tharp D, Davis L, Ban M, Cheatum L, Darr P, Grayson W, Munford J, Whitfield B, Wilson E, Melnikoff S, Schwartz B, Tureson M, D Souza D, Forselius K, Ranganathan M, Rispoli L, Sather M, Colling C, Haakenson C, Kruegar D, Muralidhar S, Ramoni R, Breeling J, Chang K, O Donnell C, Tsao P, Moser J, Brewer J, Warren S, Argyres D, Stevens B, Humphries D, Do N, Shayan S, Nguyen X, Pyarajan S, Cho K, Hauser E, Sun Y, Wilson P, McArdle R, Dellitalia L, Harley J, Whittle J. Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort. JAMA Psychiatry 2024, 81: 188-197. PMID: 37938835, PMCID: PMC10633411, DOI: 10.1001/jamapsychiatry.2023.4141.Peer-Reviewed Original ResearchSubstance use disordersPolygenic risk scoresMillion Veteran ProgramCorrelates of riskElectronic health recordsPsychiatric problemsComorbid psychiatric problemsViral hepatitis C.Chronic airway obstructionHealth recordsElectronic health record dataUS veteran populationMillion Veteran Program cohortCommon etiologic pathwayHealth care centersHealth record dataInternational Statistical ClassificationSuicide-related behaviorsAirway obstructionCohort studyHepatitis C.Recent genome-wide association studiesLiver diseaseUS veteransCare center
2023
Predicting Breast Cancer Risk for Women Veterans of African Ancestry in the Million Veteran Program
Luoh S, Minnier J, Zhao H, Gao L. Predicting Breast Cancer Risk for Women Veterans of African Ancestry in the Million Veteran Program. Health Equity 2023, 7: 303-306. PMID: 37284538, PMCID: PMC10240329, DOI: 10.1089/heq.2023.0011.Peer-Reviewed Original ResearchBreast cancer riskBreast cancerMillion Veteran ProgramCancer riskPolygenic risk scoresWomen veteransHigher breast cancer riskRisk prediction instrumentsIncident breast cancerLow-risk womenBreast cancer preventionBreast cancer incidenceIndividual breast cancer riskBreast cancer mortalityPredicting Breast Cancer RiskBreast cancer screeningVeteran ProgramMajor health threatPrediction instrumentGenetic variantsEuropean ancestry womenProspective cohortRisk womenCancer mortalityCancer screeningEarly breast cancer risk detection: a novel framework leveraging polygenic risk scores and machine learning
Tao L, Ye Y, Zhao H. Early breast cancer risk detection: a novel framework leveraging polygenic risk scores and machine learning. Journal Of Medical Genetics 2023, 60: 960-964. PMID: 37055164, DOI: 10.1136/jmg-2022-108582.Peer-Reviewed Original ResearchConceptsBreast cancerPolygenic risk scoresRisk scoreBC risk assessmentClinical breast examNon-genetic risk factorsHigh-risk individualsFemale participantsBreast examCancer deathCommon cancerBC screeningRisk factorsBC diagnosisDisease risk predictionDiagnostic stepsPopulation screeningGenetic riskRisk predictionUK BiobankCancerDiagnosisDiagnostic pipelineWomenDetection testA genome-wide association study of frailty identifies significant genetic correlation with neuropsychiatric, cardiovascular, and inflammation pathways
Ye Y, Noche R, Szejko N, Both C, Acosta J, Leasure A, Brown S, Sheth K, Gill T, Zhao H, Falcone G. A genome-wide association study of frailty identifies significant genetic correlation with neuropsychiatric, cardiovascular, and inflammation pathways. GeroScience 2023, 45: 2511-2523. PMID: 36928559, PMCID: PMC10651618, DOI: 10.1007/s11357-023-00771-z.Peer-Reviewed Original ResearchConceptsFried frailty scoreBiology of frailtyEuropean descent participantsOccurrence of frailtyGenome-wide association studiesMendelian randomization analysisFrailty scoreChronic painJoint disordersPolygenic risk scoresRespiratory diseaseInflammation pathwaysRisk scoreClinical phenotypeBrain tissueCausal associationFrailtyAge-related pathwaysRandomization analysisGenetic factorsAssociation studiesUK BiobankRetirement StudyPerson's vulnerabilitySignificant genetic correlations
2022
SDPRX: A statistical method for cross-population prediction of complex traits
Zhou G, Chen T, Zhao H. SDPRX: A statistical method for cross-population prediction of complex traits. American Journal Of Human Genetics 2022, 110: 13-22. PMID: 36460009, PMCID: PMC9892700, DOI: 10.1016/j.ajhg.2022.11.007.Peer-Reviewed Original ResearchConceptsStatistical methodsJoint distributionWide association study (GWAS) summary statisticsNon-European populationsReal traitsSummary statisticsCross-population predictionPrediction accuracyGenome-wide association study summary statisticsLinkage disequilibrium differencesPrediction performancePolygenic risk scoresComplex traitsStatisticsSimulationsApplicationsTraitsSex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults
Gui Y, Zhou X, Wang Z, Zhang Y, Wang Z, Zhou G, Zhao Y, Liu M, Lu H, Zhao H. Sex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults. Translational Psychiatry 2022, 12: 347. PMID: 36028495, PMCID: PMC9418275, DOI: 10.1038/s41398-022-02041-6.Peer-Reviewed Original ResearchConceptsCognitive functionFluid intelligenceCognitive traitsAdolescent Brain Cognitive Development (ABCD) studyPsychiatric disordersCognitive Development StudyMediation effectMost psychiatric disordersPolygenic risk scoresBrain functionBrain structuresBrain imagingEarly etiologySex differencesDevelopment studiesPsychiatric traitsChildrenIntelligenceDisordersSchizophreniaGenetic riskAdultsTraitsCognitionAutism
2021
Psychological trauma and the genetic overlap between posttraumatic stress disorder and major depressive disorder
Mundy J, Hübel C, Gelernter J, Levey D, Murray RM, Skelton M, Stein MB, Maihofer A, Nievergelt C, Baker D, Risborough V, Calabrese J, Galea S, Stein D, Koen N, Dalvie S, Aiello A, Roberts A, Koenen K, Solovieff N, Kranzler H, Zhao H, Gelernter J, Farrer L, Johnson E, Rice J, Bierut L, Saccone N, McFarlane A, Forbes D, Silove D, O'Donnell M, Bryant R, van Hooff M, Sponheim S, Disner S, Pietrzak R, Chen C, Smoller J, Stein M, Ursano R, Kessler R, Junglen A, Delahanty D, Amstadter A, Sheerin C, Ruggiero K, McLaughlin K, Peverill M, Caldas-de-Almeida J, Austin S, Gelaye B, Williams M, Sanchez S, Franz C, Panizzon M, Lyons M, Kremen W, Andreassen O, Dale A, Rutten B, Vinkers C, Schijven D, Geuze E, Vermetten E, Luykx J, Boks M, Ashley-Koch A, Beckham J, Garrett M, Hauser M, Dennis M, Kimbrel N, Qin X, Karstoft K, Andersen S, Borglum A, Hougaard D, Bybjerg-Grauholm J, Duncan L, Bµkvad-Hansen M, Nordentoft M, Mors O, Mortensen P, Werge T, Thompson W, Wang Y, Heath A, Nelson E, Martin N, Gordon S, Wolf E, Logue M, Miller M, McGlinchey R, Milberg W, Erbes C, Polusny M, Arbisi P, Peterson A, Williamson D, Young K, Maurer D, Rothbaum A, Zoellner L, Mavissakalian M, Feeny N, Roy-Byrne P, Rothbaum B, Maples-Keller J, Khan A, Wolff J, Lebois L, Teicher M, Kaufman M, Winternitz S, Bolger E, Seligowski A, Orcutt H, Evans A, Lugonja B, Lewis C, Jones I, Bisson J, McLean S, Linnstaedt S, Peters E, Rung A, Trapido E, Brashear M, Lori A, Smith A, Bradley B, Gillespie C, Guffanti G, Ressler K, Almli L, Jovanovic T, Bustamante A, Uddin M, van den Heuvel L, Seedat S, Hemmings S, Uka A, Kulenovic A, Wolf C, Babic D, Avdibegovic E, Deckert J, Domschke K, Jakovljevic M, Marmar C, Flory J, Jett M, Yehuda R, Hammamieh R, King A, Liberzon I, Seng J, Morris C, Mehta D, Voisey J, Lawford B, Young R, McLeay S, Daskalakis N, Norman S, Wang Z, Breen G, Coleman J, Klengel T, Torres K, Choi K, Levey D, Polimanti R, Atkinson E, Martin A, Neale B, Daly M, Ripke S, Ratanatharathorn A, Provost A, Haas M, Stevens J, Morey R, Harnal S, Mortensen P, Seedat S, Sumner J, Vassos E, Breen G, Coleman J. Psychological trauma and the genetic overlap between posttraumatic stress disorder and major depressive disorder. Psychological Medicine 2021, 52: 3975-3984. PMID: 34085609, PMCID: PMC8962503, DOI: 10.1017/s0033291721000830.Peer-Reviewed Original ResearchRecurrent major depressive disorderMajor depressive disorderPosttraumatic stress disorderSingle-episode major depressive disorderDepressive disorderTrauma exposureStress disorderPsychological trauma exposureLifetime major depressive disorderTrauma sensitivityGenetic loadingUK Biobank participantsKey risk factorsMental health consequencesRisk factorsMillion Veteran ProgramPolygenic risk scoresRisk scoreGenetic overlapHealth consequencesBiobank participantsTraumaDisordersVeteran ProgramPsychiatric Genomics ConsortiumInteractions Between Enhanced Polygenic Risk Scores and Lifestyle for Cardiovascular Disease, Diabetes, and Lipid Levels
Ye Y, Chen X, Han J, Jiang W, Natarajan P, Zhao H. Interactions Between Enhanced Polygenic Risk Scores and Lifestyle for Cardiovascular Disease, Diabetes, and Lipid Levels. Circulation Genomic And Precision Medicine 2021, 14: e003128. PMID: 33433237, PMCID: PMC7887077, DOI: 10.1161/circgen.120.003128.Peer-Reviewed Original ResearchConceptsType 2 diabetesAbsolute risk reductionPolygenic risk scoresLifestyle adherenceCardiovascular diseaseGenetic riskRisk scoreCoronary artery diseaseBody mass indexGreater absolute benefitHigher polygenic risk scoreHigh genetic riskAdditive interactionRisk reductionArtery diseaseLDL cholesterolTotal cholesterolAtrial fibrillationMass indexAbsolute benefitTriglyceride levelsRisk factorsLipid levelsPhysical activityLifestyle status
2020
Genetic Architecture of Abdominal Aortic Aneurysm in the Million Veteran Program
Klarin D, Verma S, Judy R, Dikilitas O, Wolford B, Paranjpe I, Levin M, Pan C, Tcheandjieu C, Spin J, Lynch J, Assimes T, Åldstedt Nyrønning L, Mattsson E, Edwards T, Denny J, Larson E, Lee M, Carrell D, Zhang Y, Jarvik G, Gharavi A, Harley J, Mentch F, Pacheco J, Hakonarson H, Skogholt A, Thomas L, Gabrielsen M, Hveem K, Nielsen J, Zhou W, Fritsche L, Huang J, Natarajan P, Sun Y, DuVall S, Rader D, Cho K, Chang K, Wilson P, O’Donnell C, Kathiresan S, Scali S, Berceli S, Willer C, Jones G, Bown M, Nadkarni G, Kullo I, Ritchie M, Damrauer S, Tsao P, Gaziano J, Ramoni R, Beckham J, Breeling J, Chang K, Huang G, Muralidhar S, O’Donnell C, Casas Romero J, Tsao P, Muralidhar S, Moser J, Whitbourne S, Brewer J, Concato J, Warren S, Argyres D, Tsao P, Gaziano J, Stephens B, Brophy M, Humphries D, Do N, Shayan S, Nguyen X, O’Donnell C, Pyarajan S, Tsao P, Cho K, Pyarajan S, Hauser E, Sun Y, Zhao H, Wilson P, McArdle R, Dellitalia L, Harley J, Zablocki C, Whittle J, Beckham J, Wells J, Gutierrez S, Gibson G, Kaminsky L, Villareal G, Kinlay S, Xu J, Hamner M, Haddock K, Bhushan S, Iruvanti P, Godschalk M, Ballas Z, Buford M, Mastorides S, Klein J, Ratcliffe N, Florez H, Swann A, Murdoch M, Sriram P, Yeh S, Washburn R, Jhala D, Aguayo S, Cohen D, Sharma S, Callaghan J, Oursler K, Whooley M, Ahuja S, Gutierrez A, Schifman R, Greco J, Rauchman M, Servatius R, Oehlert M, Wallbom A, Fernando R, Morgan T, Stapley T, Sherman S, Anderson G, Tsao P, Sonel E, Boyko E, Meyer L, Gupta S, Fayad J, Hung A, Lichy J, Hurley R, Robey B, Striker R. Genetic Architecture of Abdominal Aortic Aneurysm in the Million Veteran Program. Circulation 2020, 142: 1633-1646. PMID: 32981348, PMCID: PMC7580856, DOI: 10.1161/circulationaha.120.047544.Peer-Reviewed Original ResearchConceptsAbdominal aortic aneurysmBlood pressurePolygenic risk scoresAortic aneurysmFamily historyDiastolic blood pressureSystolic blood pressureGenome-wide polygenic risk scoreRisk variantsSmoking risk factorsMendelian randomization analysisAAA prevalenceCardiovascular mortalityRisk factorsAAA developmentArterial bedCurrent guidelinesVascular territoriesLower extremitiesMillion Veteran ProgramRisk scoreTherapeutic implicationsCurrent screeningImportant causeAAA risk
2019
Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations
Kranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature Communications 2019, 10: 1499. PMID: 30940813, PMCID: PMC6445072, DOI: 10.1038/s41467-019-09480-8.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesMillion Veteran Program sampleGenetic correlationsWide significant lociSignificant genetic correlationsPolygenic risk scoresCell type groupSignificant lociHeritable traitEnrichment analysisTraitsMultiple populationsLociPhenotypeProgram samplesM31 GENOME-WIDE ASSOCIATION STUDY OF COMORBID ALCOHOL DEPENDENCE AND MAJOR DEPRESSION
Zhou H, Polimanti R, Yang B, Wang Q, Han S, Sherva R, Nunez Y, Zhao H, Farrer L, Kranzler H, Gelernter J. M31 GENOME-WIDE ASSOCIATION STUDY OF COMORBID ALCOHOL DEPENDENCE AND MAJOR DEPRESSION. European Neuropsychopharmacology 2019, 29: s971. DOI: 10.1016/j.euroneuro.2017.08.338.Peer-Reviewed Original Research
2017
Genetic Risk Variants Associated With Comorbid Alcohol Dependence and Major Depression
Zhou H, Polimanti R, Yang BZ, Wang Q, Han S, Sherva R, Nuñez YZ, Zhao H, Farrer LA, Kranzler HR, Gelernter J. Genetic Risk Variants Associated With Comorbid Alcohol Dependence and Major Depression. JAMA Psychiatry 2017, 74: 1234-1241. PMID: 29071344, PMCID: PMC6331050, DOI: 10.1001/jamapsychiatry.2017.3275.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismBlack or African AmericanComorbidityDepressive Disorder, MajorDiagnostic and Statistical Manual of Mental DisordersFemaleGenetic Predisposition to DiseaseGenetic VariationHumansMaleMiddle AgedMultifactorial InheritanceOrgan SizePutamenSemaphorin-3AUnited StatesWhite PeopleConceptsGenome-wide association studiesGenetic risk variantsNeuropsychiatric traitsAssociation studiesRisk variantsPolygenic risk allelesPolygenic risk scoresGenetic mechanismsGenetic basisAmerican data setMolecular natureTraitsCriterion countsGenetic causePossible genetic causesMD comorbidityRisk allelesComorbid alcohol dependence
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