2019
Validation of an Electronic Medical Record–Based Algorithm for Identifying Posttraumatic Stress Disorder in U.S. Veterans
Harrington KM, Quaden R, Stein MB, Honerlaw JP, Cissell S, Pietrzak RH, Zhao H, Radhakrishnan K, Aslan M, Gaziano JM, Concato J, Gagnon DR, Gelernter J, Cho K, Program O. Validation of an Electronic Medical Record–Based Algorithm for Identifying Posttraumatic Stress Disorder in U.S. Veterans. Journal Of Traumatic Stress 2019, 32: 226-237. PMID: 31009556, PMCID: PMC6699164, DOI: 10.1002/jts.22399.Peer-Reviewed Original ResearchGenomics of posttraumatic stress disorder in veterans: Methods and rationale for Veterans Affairs Cooperative Study #575B
Radhakrishnan K, Aslan M, Harrington KM, Pietrzak RH, Huang G, Muralidhar S, Cho K, Quaden R, Gagnon D, Pyarajan S, Sun N, Zhao H, Gaziano M, Concato J, Stein MB, Gelernter J. Genomics of posttraumatic stress disorder in veterans: Methods and rationale for Veterans Affairs Cooperative Study #575B. International Journal Of Methods In Psychiatric Research 2019, 28: e1767. PMID: 30767326, PMCID: PMC6877159, DOI: 10.1002/mpr.1767.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAlgorithmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenomicsHumansInterviews as TopicMaleMiddle AgedPolymorphism, Single NucleotidePsychiatric Status Rating ScalesStress Disorders, Post-TraumaticSurveys and QuestionnairesUnited StatesUnited States Department of Veterans AffairsVeteransYoung Adult
2018
Inferring phenotypes from substance use via collaborative matrix completion
Lu J, Sun J, Wang X, Kranzler H, Gelernter J, Bi J. Inferring phenotypes from substance use via collaborative matrix completion. BMC Systems Biology 2018, 12: 104. PMID: 30463556, PMCID: PMC6249733, DOI: 10.1186/s12918-018-0623-5.Peer-Reviewed Original ResearchConceptsRecent statistical methodsMatrix completion techniqueMatrix completionStatistical modelingStatistical methodsPhenotype imputationSpeed 20 timesBi-linear modelImputation methodsParallel algorithmSequential algorithmMultiple scalesSimilar genetic determinantsGood accuracyAlgorithmNew approachCompletion techniquesSample sizeAccuracyModel
2015
Dissecting ancestry genomic background in substance dependence genome-wide association studies
Polimanti R, Yang C, Zhao H, Gelernter J. Dissecting ancestry genomic background in substance dependence genome-wide association studies. Pharmacogenomics 2015, 16: 1487-1498. PMID: 26267224, PMCID: PMC4632979, DOI: 10.2217/pgs.15.91.Peer-Reviewed Original ResearchMeSH KeywordsAlcoholismAlgorithmsAllelesBlack or African AmericanGene FrequencyGene-Environment InteractionGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHaplotypesHumansMolecular Sequence AnnotationOpioid-Related DisordersSubstance-Related DisordersTobacco Use DisorderWhite PeopleConceptsGenome-wide association studiesGenomic backgroundFunctional allelesAssociation studiesCommon functional allelesWide association studyLocal haplotype structureGenetic lociSD traitHaplotype structureRelevant genesGenesLociInteractive partnersPopulation diversityHigh frequency differencesAllelesFrequency differenceGenomeTraitsDiversityRoleVariants
2011
M3: an improved SNP calling algorithm for Illumina BeadArray data
Li G, Gelernter J, Kranzler HR, Zhao H. M3: an improved SNP calling algorithm for Illumina BeadArray data. Bioinformatics 2011, 28: 358-365. PMID: 22155947, PMCID: PMC3268244, DOI: 10.1093/bioinformatics/btr673.Peer-Reviewed Original Research
2005
Practical population group assignment with selected informative markers: Characteristics and properties of Bayesian clustering via STRUCTURE
Yang B, Zhao H, Kranzler HR, Gelernter J. Practical population group assignment with selected informative markers: Characteristics and properties of Bayesian clustering via STRUCTURE. Genetic Epidemiology 2005, 28: 302-312. PMID: 15782414, DOI: 10.1002/gepi.20070.Peer-Reviewed Original Research