2024
Exploiting meta-analysis of genome-wide interaction with serum 25-hydroxyvitamin D to identify novel genetic loci associated with pulmonary function
Seo J, Gaddis N, Patchen B, Xu J, Barr R, O’Connor G, Manichaikul A, Gharib S, Dupuis J, North K, Cassano P, Hancock D. Exploiting meta-analysis of genome-wide interaction with serum 25-hydroxyvitamin D to identify novel genetic loci associated with pulmonary function. American Journal Of Clinical Nutrition 2024, 119: 1227-1237. PMID: 38484975, PMCID: PMC11130669, DOI: 10.1016/j.ajcnut.2024.03.007.Peer-Reviewed Original ResearchMeSH KeywordsForced Expiratory VolumeGenetic LociGenome-Wide Association StudyHumansLungPolymorphism, Single NucleotideRespiratory Function TestsUnited KingdomVital CapacityVitamin DConceptsGenome-wide association studiesGenome-wide interactionsGWAS meta-analysesGenome-wide genotypingGenetic variant associationsPathway enrichment analysisGenetic architectureVariant associationsP38 MAPK pathwayAssociation studiesGene-environment interactionsBiological insightsGenetic variantsEnrichment analysisVariant signalsMeta-analyzed resultsMAPK pathwayBiological relevancePathwayForced vital capacityEvaluate interactive effectsMeta-analysesVariantsSmoking historyAssociated with FEV<sub>1</sub> an
2022
Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study
Xu J, Johnson JS, Signer R, Consortium E, Birgegård A, Jordan J, Kennedy MA, Landén M, Maguire SL, Martin NG, Mortensen PB, Petersen LV, Thornton LM, Bulik CM, Huckins LM. Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study. The Lancet Digital Health 2022, 4: e604-e614. PMID: 35780037, PMCID: PMC9612590, DOI: 10.1016/s2589-7500(22)00099-1.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiological Specimen BanksBody-Weight TrajectoryElectronic Health RecordsGenome-Wide Association StudyHumansMultifactorial InheritanceConceptsElectronic health recordsPolygenic risk scoresWeight trajectoriesDepression polygenic risk scoresObesity polygenic risk scoresHealth recordsWeight changeUK BiobankIndividual health statusLower disease riskGenetic associationPatient populationUS National InstitutesWeight managementStable weightRisk scoreHealthy populationHealth statusAnorexia nervosaBioMe BiobankDisease riskDisorder diagnosisMental healthWeight lossPhenome-wide association studyMapping anorexia nervosa genes to clinical phenotypes
Johnson J, Cote A, Dobbyn A, Sloofman L, Xu J, Cotter L, Charney A, Consortium E, Birgegård A, Jordan J, Kennedy M, Landén M, Maguire S, Martin N, Mortensen P, Thornton L, Bulik C, Huckins L. Mapping anorexia nervosa genes to clinical phenotypes. Psychological Medicine 2022, 53: 2619-2633. PMID: 35379376, PMCID: PMC10123844, DOI: 10.1017/s0033291721004554.Peer-Reviewed Original ResearchMeSH KeywordsAnorexia NervosaGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideTranscriptomeConceptsBody mass indexGenome-wide association studiesTranscriptome imputationElectronic health record phenotypingAssociation studiesPhenome-wide association studyS-PrediXcan analysisMeasurement of cholesterolTraditional genome-wide association studiesGenes associated with ANAssociation of genetic variantsSubstance useGenetically regulated gene expressionImpact of body mass indexConsequences of aberrant expressionBiobank cohortBiobank populationAssociated with measuresAssociation of ANGWAS findingsSecondary analysisS-PrediXcanDisease riskMass indexSignificant genes
2019
Omega-3 Fatty Acids and Genome-Wide Interaction Analyses Reveal DPP10–Pulmonary Function Association
Xu J, Gaddis N, Bartz T, Hou R, Manichaikul A, Pankratz N, Smith A, Sun F, Terzikhan N, Markunas C, Patchen B, Schu M, Beydoun M, Brusselle G, Eiriksdottir G, Zhou X, Wood A, Graff M, Harris T, Ikram M, Jacobs D, Launer L, Lemaitre R, O’Connor G, Oelsner E, Psaty B, Vasan R, Rohde R, Rich S, Rotter J, Seshadri S, Smith L, Tiemeier H, Tsai M, Uitterlinden A, Voruganti V, Xu H, Zilhão N, Fornage M, Zillikens M, London S, Barr R, Dupuis J, Gharib S, Gudnason V, Lahousse L, North K, Steffen L, Cassano P, Hancock D. Omega-3 Fatty Acids and Genome-Wide Interaction Analyses Reveal DPP10–Pulmonary Function Association. American Journal Of Respiratory And Critical Care Medicine 2019, 199: 631-642. PMID: 30199657, PMCID: PMC6396866, DOI: 10.1164/rccm.201802-0304oc.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlpha-Linolenic AcidBiomarkersDipeptidyl-Peptidases and Tripeptidyl-PeptidasesDocosahexaenoic AcidsEicosapentaenoic AcidFatty Acids, Omega-3Fatty Acids, UnsaturatedFemaleForced Expiratory VolumeGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideRespiratory Physiological PhenomenaSex FactorsSmokingVital CapacityConceptsSNP associationsGenome-wide interaction analysisHeart and Aging ResearchMeta-analysesCohort-specific resultsAssociated with lower FVCGenome-wide analysisGenomic Epidemiology ConsortiumAssociated with FEV<sub>1</sub> anPulmonary function testsEpidemiology ConsortiumFatty acidsEffect modificationFunctional associationN-3 PUFAPulmonary healthLower FVCGenetic susceptibilitySpirometric measurementsCohortPolyunsaturated fatty acidsAssociationMeasures of pulmonary function testsInteraction analysisFVC