2020
Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
Xu K, Li B, McGinnis KA, Vickers-Smith R, Dao C, Sun N, Kember RL, Zhou H, Becker WC, Gelernter J, Kranzler HR, Zhao H, Justice AC. Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals. Nature Communications 2020, 11: 5302. PMID: 33082346, PMCID: PMC7598939, DOI: 10.1038/s41467-020-18489-3.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesLarge genome-wide association studiesMillion Veteran ProgramAssociation studiesExpression quantitative trait lociQuantitative trait lociChromatin interactionsComplex traitsFunctional annotationTrait lociSequencing ConsortiumDozen genesSignificant lociSmoking phenotypesLociMultiple populationsNew insightsPhenotypeVeteran ProgramGenetic vulnerabilityGenesTraitsAnnotationEuropean AmericansConsortiumStatistical Methods in Genome-Wide Association Studies
Sun N, Zhao H. Statistical Methods in Genome-Wide Association Studies. Annual Review Of Biomedical Data Science 2020, 3: 1-24. DOI: 10.1146/annurev-biodatasci-030320-041026.Peer-Reviewed Original ResearchGenome-wide association studiesAssociation studiesTraits of interestGenetic architectureIdentification of variantsGWAS dataStatistical methodologyStatistical challengesGenetic risk prediction modelsGenetic markersStatistical methodsHuman diseasesPhenotype informationGenetic variantsTraitsGenotype informationScientific goalsRecent progressGenesVariantsTens of thousandsHundreds of thousandsPrediction modelPathwayThousandsGenotyping Array Design and Data Quality Control in the Million Veteran Program
Hunter-Zinck H, Shi Y, Li M, Gorman BR, Ji SG, Sun N, Webster T, Liem A, Hsieh P, Devineni P, Karnam P, Gong X, Radhakrishnan L, Schmidt J, Assimes TL, Huang J, Pan C, Humphries D, Brophy M, Moser J, Muralidhar S, Huang GD, Przygodzki R, Concato J, Gaziano JM, Gelernter J, O’Donnell C, Hauser ER, Zhao H, O’Leary T, Program V, Tsao PS, Pyarajan S. Genotyping Array Design and Data Quality Control in the Million Veteran Program. American Journal Of Human Genetics 2020, 106: 535-548. PMID: 32243820, PMCID: PMC7118558, DOI: 10.1016/j.ajhg.2020.03.004.Peer-Reviewed Original ResearchConceptsMillion Veteran ProgramGenome-wide association studiesGenome-wide scanHigh-quality genotypesArray-based genotypingWhole-genome sequencingNon-European individualsAssociation studiesGenetic markersOmics assaysAxiom arrayDownstream analysisVeteran ProgramCommon variantsGenetic associationAfrican American ancestryAmerican ancestryMVP cohortRare variantsSingle assayDiversityFurther data releasesLarge biobanksPromising resourceQuality control
2019
Genome‐wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder
Harvey PD, Sun N, Bigdeli TB, Fanous AH, Aslan M, Malhotra AK, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Rajeevan N, Sayward F, Cheung K, Li Y, Greenwood TA, Gur RE, Braff DL, on the Genetics of Schizophrenia C, Brophy M, Pyarajan S, O'Leary TJ, Gleason T, Przygodszki R, Muralidhar S, Gaziano JM, Concato J, Zhao H, Siever LJ. Genome‐wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2019, 183: 181-194. PMID: 31872970, DOI: 10.1002/ajmg.b.32775.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAllelesBipolar DisorderCognitionCognition DisordersFemaleGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedNeuropsychological TestsOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideSchizophreniaUnited StatesUnited States Department of Veterans AffairsVeteransGenome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans
Gelernter J, Sun N, Polimanti R, Pietrzak R, Levey DF, Bryois J, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Pyarajan S, Sullivan PF, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Concato J, Zhao H, Stein MB. Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans. Nature Neuroscience 2019, 22: 1394-1401. PMID: 31358989, PMCID: PMC6953633, DOI: 10.1038/s41593-019-0447-7.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesHigh linkage disequilibrium regionLinkage disequilibrium regionWide association studyDisequilibrium regionBioinformatics analysisTranscriptomic profilesMillion Veteran ProgramChromosome 17Genetic risk factorsNew insightsUK Biobank dataReexperiencing of traumaStriatal medium spiny neuronsVeteran ProgramSignificant regionsCAMKVEuropean AmericansBiobank dataMedium spiny neuronsTCF4BiologyKANSL1African American cohortGenome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci
Gelernter J, Sun N, Polimanti R, Pietrzak RH, Levey DF, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Honerlaw J, Pyarajan S, Lencz T, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Kranzler HR, Concato J, Zhao H, Stein MB, Program D, Program M. Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci. Biological Psychiatry 2019, 86: 365-376. PMID: 31151762, PMCID: PMC6919570, DOI: 10.1016/j.biopsych.2019.03.984.Peer-Reviewed Original ResearchConceptsAdditional genome-wide significant lociRisk lociWide association study (GWAS) analysisAssociation studiesGenome-wide significant lociGenome-wide association studiesGenetic correlationsWide association studyNovel risk lociAlcohol-related traitsStrong statistical supportSmoking-related traitsAdditional genomesSignificant lociPancreatic delta cellsChromosome 4Chromosome 11Protein productsChromosome 8Quantitative phenotypesMillion Veteran ProgramVeterans Affairs Million Veteran ProgramLociCell typesChromosome 17