2024
AN INTEGRATIVE NETWORK-BASED MEDIATION MODEL (NMM) TO ESTIMATE MULTIPLE GENETIC EFFECTS ON OUTCOMES MEDIATED BY FUNCTIONAL CONNECTIVITY.
Dai W, Zhang H. AN INTEGRATIVE NETWORK-BASED MEDIATION MODEL (NMM) TO ESTIMATE MULTIPLE GENETIC EFFECTS ON OUTCOMES MEDIATED BY FUNCTIONAL CONNECTIVITY. The Annals Of Applied Statistics 2024, 18: 2277-2294. PMID: 39640845, PMCID: PMC11616023, DOI: 10.1214/24-aoas1880.Peer-Reviewed Original ResearchGenetic variantsFunctional connectivityEffects of multiple genetic variantsMediation modelBehavioral outcomesEffects of genetic variantsMultiple genetic variantsCumulative genetic effectsFluid intelligenceUnivariate mediatorImpact of geneticsCognitive behaviorVisual networkGenetic effectsNeural circuitsNetwork mediatorsFunctional networksYoung adultsVariants
2020
Super‐variants identification for brain connectivity
Li T, Hu J, Wang S, Zhang H. Super‐variants identification for brain connectivity. Human Brain Mapping 2020, 42: 1304-1312. PMID: 33236465, PMCID: PMC7927294, DOI: 10.1002/hbm.25294.Peer-Reviewed Original ResearchConceptsCombination of allelesSingle nucleotide polymorphismsNovel lociBrain connectivityUK Biobank databaseChromosome 1Multiple lociGenetic effectsGenetic variantsNucleotide polymorphismsAssociation detectionLociGenetic associationGenesNeurodegenerative disordersBiobank databaseBrain issuesGenetic biomarkersBrain functionBrain structuresGenomeRSPO2Discovery phaseAssociationTMEM74
2019
Common genetic variants have associations with human cortical brain regions and risk of schizophrenia
Bi X, Feng L, Wang S, Lin Z, Li T, Zhao B, Zhu H, Zhang H. Common genetic variants have associations with human cortical brain regions and risk of schizophrenia. Genetic Epidemiology 2019, 43: 548-558. PMID: 30941828, PMCID: PMC6559856, DOI: 10.1002/gepi.22203.Peer-Reviewed Original ResearchConceptsCortical regionsCortical brain regionsRisk of schizophreniaPrefrontal cortical regionsSymptom durationProdromal symptomsMental disordersSignificant associationBrain regionsCommon genetic variantsPhiladelphia Neurodevelopmental CohortPediatric imagingSchizophreniaNeurodevelopmental CohortCommon variantsHuman brainGenetic variantsHeritable mental disorderMagnetic resonanceAssociationWide association studyAssociation studiesGenetic effectsCohortSymptoms
2009
Machine learning in genome‐wide association studies
Szymczak S, Biernacka JM, Cordell HJ, González‐Recio O, König IR, Zhang H, Sun YV. Machine learning in genome‐wide association studies. Genetic Epidemiology 2009, 33: s51-s57. PMID: 19924717, DOI: 10.1002/gepi.20473.Peer-Reviewed Original ResearchConceptsGenome-wide SNP dataSingle nucleotide polymorphismsSNP dataAssociation studiesGenome-wide association studiesOverall genetic architectureMachine learning approachesGenetic Analysis Workshop 16Wide association studyComplex human diseasesMain genetic effectsGenetic architectureLearning approachGenetic risk variantsEnsemble methodHuman diseasesGenetic effectsRisk variantsGenetic variantsComplex diseasesMachineNew variable selection procedureNetwork analysisVariable selection procedureDifferent approaches
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