2019
Whole Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized with Early-Onset Myocardial Infarction
Khera AV, Chaffin M, Zekavat S, Collins RL, Roselli C, Natarajan P, Lichtman JH, D'Onofrio G, Mattera J, Dreyer R, Spertus JA, Taylor KD, Psaty BM, Rich SS, Post W, Gupta N, Gabriel S, Lander E, Ida Chen Y, Talkowski ME, Rotter JI, Krumholz HM, Kathiresan S. Whole Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized with Early-Onset Myocardial Infarction. Circulation 2019, 139: 1593-1602. PMID: 30586733, PMCID: PMC6433484, DOI: 10.1161/circulationaha.118.035658.Peer-Reviewed Original Research
2008
Investigation of 89 candidate gene variants for effects on all-cause mortality following acute coronary syndrome
Morgan TM, Xiao L, Lyons P, Kassebaum B, Krumholz HM, Spertus JA. Investigation of 89 candidate gene variants for effects on all-cause mortality following acute coronary syndrome. BMC Medical Genomics 2008, 9: 66. PMID: 18620593, PMCID: PMC2483267, DOI: 10.1186/1471-2350-9-66.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedCase-Control StudiesCohort StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansKaplan-Meier EstimateMaleMiddle AgedMissouriRisk FactorsSurvival AnalysisWhite PeopleConceptsAcute coronary syndromeRisk factorsACS mortalityCoronary syndromeTraditional cardiac risk factorsKaplan-Meier survival analysisMultivariate risk prediction modelCardiac risk factorsPutative genetic risk factorsGene variantsUniversity-affiliated hospitalBorderline statistical significanceGenetic risk factorsSystematic literature searchRisk prediction modelGenetic variantsCandidate gene variantsACS survivorsCause mortalityACS casesCox regressionPatient cohortClinical prognosisPotential confoundingSurvival analysis
2007
Nonvalidation of Reported Genetic Risk Factors for Acute Coronary Syndrome in a Large-Scale Replication Study
Morgan TM, Krumholz HM, Lifton RP, Spertus JA. Nonvalidation of Reported Genetic Risk Factors for Acute Coronary Syndrome in a Large-Scale Replication Study. JAMA 2007, 297: 1551-1561. PMID: 17426274, DOI: 10.1001/jama.297.14.1551.Peer-Reviewed Original Research
2004
An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation
Coffey CS, Hebert PR, Ritchie MD, Krumholz HM, Gaziano JM, Ridker PM, Brown NJ, Vaughan DE, Moore JH. An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation. BMC Bioinformatics 2004, 5: 49. PMID: 15119966, PMCID: PMC419697, DOI: 10.1186/1471-2105-5-49.Peer-Reviewed Original ResearchGene Expression RegulationGenetic Predisposition to DiseaseGenotypeHumansLogistic ModelsMyocardial InfarctionRisk Assessment
2003
Overestimation of genetic risks owing to small sample sizes in cardiovascular studies
Morgan T, Coffey C, Krumholz H. Overestimation of genetic risks owing to small sample sizes in cardiovascular studies. Clinical Genetics 2003, 64: 7-17. PMID: 12791034, DOI: 10.1034/j.1399-0004.2003.00088.x.Peer-Reviewed Original ResearchMeSH KeywordsCardiovascular DiseasesGenetic Predisposition to DiseaseHumansPolymorphism, GeneticResearch DesignRisk AssessmentSample SizeConceptsACE DMyocardial infarctionRisk factorsPublication biasEnzyme deletion polymorphismStudies of angiotensinThrombotic risk factorsGenetic risk factorsPotential publication biasCardiovascular outcomesPlA2 polymorphismOdds ratioEgger's testFunnel plotSystematic reviewCardiovascular studiesRelevant outcomesOverall riskSmall sample sizeGenetic riskSample sizeDeletion polymorphismUnderpowered studiesInfarctionPLA2