2025
Identifying Genetic Variants for Brain Connectivity Using Ball Covariance Ranking and Aggregation
Dai W, Zhang H. Identifying Genetic Variants for Brain Connectivity Using Ball Covariance Ranking and Aggregation. Journal Of The American Statistical Association 2025, ahead-of-print: 1-19. DOI: 10.1080/01621459.2025.2450837.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsDetect single nucleotide polymorphismsGene-based analysisControlling false discovery rateControlling false discoveriesSNP setsFunctional connectivityFalse discovery rateGenetic architectureNovel genesGenetic basisNucleotide polymorphismsGenetic variantsUK Biobank dataPsychiatric disordersDiscovery rateBrain functionFalse discoveriesBiobank dataCorrelations of neural activityBrain regionsBiological etiologyBrain connectivityEQTLNeural activity
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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