2014
Genetic risk prediction and neurobiological understanding of alcoholism
Levey DF, Le-Niculescu H, Frank J, Ayalew M, Jain N, Kirlin B, Learman R, Winiger E, Rodd Z, Shekhar A, Schork N, Kiefe F, Wodarz N, Müller-Myhsok B, Dahmen N, Nöthen M, Sherva R, Farrer L, Smith A, Kranzler H, Rietschel M, Gelernter J, Niculescu A. Genetic risk prediction and neurobiological understanding of alcoholism. Translational Psychiatry 2014, 4: e391-e391. PMID: 24844177, PMCID: PMC4035721, DOI: 10.1038/tp.2014.29.Peer-Reviewed Original ResearchConceptsTop candidate genesCandidate genesGenetic risk predictionGenome-wide association study dataFunctional genomics approachConvergent functional genomics approachAssociation study dataGene expression dataInitial discovery stepGenomic approachesKey genesSignal transductionSignificant genetic overlapTop genesRelevant genesBiological pathwaysExpression dataTop findingsGenesStrict Bonferroni correctionGenetic overlapProtein knockout miceSmall panelFatty acidsKnockout mice
2002
Gene expression levels in different stages of progression in oral squamous cell carcinoma.
Kuo W, Jenssen T, Park P, Lingen M, Hasina R, Ohno-Machado L. Gene expression levels in different stages of progression in oral squamous cell carcinoma. AMIA Annual Symposium Proceedings 2002, 415-9. PMID: 12474876, PMCID: PMC2244435.Peer-Reviewed Original ResearchConceptsOral squamous cell carcinomaExpression levelsGene expression studiesGene expression dataGene expression levelsChromosome domainsCancer samplesExpression studiesSquamous cell carcinomaMolecular mechanismsExpression dataGenesMolecular levelProgression of OSCCCell carcinomaGenetic featuresCancer typesCommon cancer typesImportant insightsSignificant differencesSmall panelPatient samplesDifferent stagesProgressionSample types
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