2011
Investigation of 95 variants identified in a genome-wide study for association with mortality after acute coronary syndrome
Morgan TM, House JA, Cresci S, Jones P, Allayee H, Hazen SL, Patel Y, Patel RS, Eapen DJ, Waddy SP, Quyyumi AA, Kleber ME, März W, Winkelmann BR, Boehm BO, Krumholz HM, Spertus JA. Investigation of 95 variants identified in a genome-wide study for association with mortality after acute coronary syndrome. BMC Medical Genomics 2011, 12: 127. PMID: 21957892, PMCID: PMC3190329, DOI: 10.1186/1471-2350-12-127.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedAged, 80 and overAminohydrolasesCohort StudiesFemaleFormate-Tetrahydrofolate LigaseGenetic VariationGenome-Wide Association StudyGenotypeHumansKaplan-Meier EstimateMaleMethylenetetrahydrofolate Dehydrogenase (NADP)Middle AgedMultienzyme ComplexesMyocardial InfarctionPolymorphism, Single NucleotideProportional Hazards ModelsRisk FactorsWhite PeopleConceptsAcute coronary syndromeCoronary syndromeCoronary artery disease patientsKaplan-Meier survival analysisACS risk factorsCoronary artery diseaseUniversity-affiliated hospitalMyocardial infarction patientsPremature myocardial infarctionRace-adjusted analysesACS mortalityArtery diseaseCox regressionBorderline significanceDisease patientsInfarction patientsMyocardial infarctionRisk factorsMortality hazardIndependent cohortSurvival analysisDiverse cohortPatientsRelevant covariatesBackgroundGenome-wide association studies
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 ResearchConceptsAcute 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 Research