2022
Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics
Hu X, Zhao J, Lin Z, Wang Y, Peng H, Zhao H, Wan X, Yang C. Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2106858119. PMID: 35787050, PMCID: PMC9282238, DOI: 10.1073/pnas.2106858119.Peer-Reviewed Original ResearchMeSH KeywordsCausalityGenetic PleiotropyGenome-Wide Association StudyMendelian Randomization AnalysisPhenotypeReproducibility of Results
2015
Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS
Wang Q, Yang C, Gelernter J, Zhao H. Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS. Human Genetics 2015, 134: 1195-1209. PMID: 26340901, PMCID: PMC4630076, DOI: 10.1007/s00439-015-1596-8.Peer-Reviewed Original ResearchMeSH KeywordsArthritis, RheumatoidCentral Nervous SystemCrohn DiseaseGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansImmune System DiseasesMental DisordersNerve Tissue ProteinsOrgan SpecificityPolymorphism, Single NucleotideQuantitative Trait LociSchizophreniaSystems IntegrationConceptsImmune disordersPsychiatric disordersCrohn's diseaseDisorder pairsMHC regionPervasive pleiotropyIntegrative analysisGenome-wide association studiesImmune dysregulationImmunological mechanismsTreatment strategiesTraits/diseasesEpidemiological observationsPsychiatric diseasesBrain disordersSame effect directionDiseaseDisordersGenomic regionsRealm of psychiatryMost allelesStrong pleiotropyAnnotation resourcesChromosome 6Association studies
2014
GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation
Chung D, Yang C, Li C, Gelernter J, Zhao H. GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation. PLOS Genetics 2014, 10: e1004787. PMID: 25393678, PMCID: PMC4230845, DOI: 10.1371/journal.pgen.1004787.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesFunctional annotationGWAS datasetsAnnotation informationStatistical approachMultiple GWAS datasetsGenome-wide markersPowerful statistical methodsSingle-phenotype analysisCentral nervous system genesRisk variantsNervous system genesGenotype-Tissue Expression (GTEx) databaseComplex diseasesGWAS data setsSignificant pleiotropic effectsCommon risk basisDifferent complex diseasesDNase-seq dataCell linesStatistical inferenceGenetic architectureGWAS hitsGWAS resultsNovel statistical approach
2013
Improving genetic risk prediction by leveraging pleiotropy
Li C, Yang C, Gelernter J, Zhao H. Improving genetic risk prediction by leveraging pleiotropy. Human Genetics 2013, 133: 639-650. PMID: 24337655, PMCID: PMC3988249, DOI: 10.1007/s00439-013-1401-5.Peer-Reviewed Original ResearchMeSH KeywordsGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansRegression Analysis