2023
Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program
Cheng Y, Dao C, Zhou H, Li B, Kember R, Toikumo S, Zhao H, Gelernter J, Kranzler H, Justice A, Xu K. Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program. Translational Psychiatry 2023, 13: 148. PMID: 37147289, PMCID: PMC10162964, DOI: 10.1038/s41398-023-02409-2.Peer-Reviewed Original ResearchConceptsSingle-trait genome-wide association studiesGenome-wide association studiesNovel lociPower of GWASJoint genome-wide association studyGenome-wide significant lociMillion Veteran ProgramGenome-wide associationSubstance use traitsGWAS summary statisticsNovel genetic variantsMulti-trait analysisFunctional annotationUse traitsSignificant lociHeritable traitMultiple lociAssociation studiesColocalization analysisLociPleiotropic effectsMTAgVeteran ProgramGenetic variantsTraits
2021
Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics
Zhang Y, Cheng Y, Jiang W, Ye Y, Lu Q, Zhao H. Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics. Briefings In Bioinformatics 2021, 22: bbaa442. PMID: 33497438, PMCID: PMC8425307, DOI: 10.1093/bib/bbaa442.Peer-Reviewed Original ResearchConceptsReal data applicationData applicationsCorrelation estimation methodsGWAS summary statisticsSample overlapIndividual-level genotype dataSummary statisticsComputational efficiencyGenetic correlation estimationLD estimationEstimation methodCorrelation estimationComprehensive simulationsMajor technical challengeStatisticsTechnical challengesEasy accessBenchmark studyComparison of methodsEstimationInformative metricsPost-GWAS analysisSimulationsArchitectureApplications