2020
Supervariants identification for breast cancer
Hu J, Li T, Wang S, Zhang H. Supervariants identification for breast cancer. Genetic Epidemiology 2020, 44: 934-947. PMID: 32808324, PMCID: PMC7924970, DOI: 10.1002/gepi.22350.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesCombination of allelesRare variantsNovel lociChromosome 2UK Biobank databaseChromosome 1Multiple lociAssociation studiesLociComplex diseasesGenesBiobank databaseAssociation methodGenomeVariantsTens of thousandsAllelesPolymorphismNovel resultsSignalsClassic conceptIdentification
2012
Simulating Realistic Genomic Data With Rare Variants
Xu Y, Wu Y, Song C, Zhang H. Simulating Realistic Genomic Data With Rare Variants. Genetic Epidemiology 2012, 37: 163-172. PMID: 23161487, PMCID: PMC3543480, DOI: 10.1002/gepi.21696.Peer-Reviewed Original ResearchGenetic Association Test for Multiple Traits at Gene Level
Guo X, Liu Z, Wang X, Zhang H. Genetic Association Test for Multiple Traits at Gene Level. Genetic Epidemiology 2012, 37: 122-129. PMID: 23032486, PMCID: PMC3524409, DOI: 10.1002/gepi.21688.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesMultiple traitsGene levelSingle nucleotide polymorphismsGenetic association testsCommon genesAssociation studiesAssociation TestNucleotide polymorphismsTraitsStudy of AddictionComplex diseasesBiological mechanismsDisease of interestAssociation informationGenesGeneticsSuch studiesStrong evidencePolymorphismPrevious findingsLevels
2011
A Novel, Functional and Replicable Risk Gene Region for Alcohol Dependence Identified by Genome-Wide Association Study
Zuo L, Zhang CK, Wang F, Li CS, Zhao H, Lu L, Zhang XY, Lu L, Zhang H, Zhang F, Krystal JH, Luo X. A Novel, Functional and Replicable Risk Gene Region for Alcohol Dependence Identified by Genome-Wide Association Study. PLOS ONE 2011, 6: e26726. PMID: 22096494, PMCID: PMC3210123, DOI: 10.1371/journal.pone.0026726.Peer-Reviewed Original Research
2010
Maximal conditional chi-square importance in random forests
Wang M, Chen X, Zhang H. Maximal conditional chi-square importance in random forests. Bioinformatics 2010, 26: 831-837. PMID: 20130032, PMCID: PMC2832825, DOI: 10.1093/bioinformatics/btq038.Peer-Reviewed Original Research