Jiayi Xu, PhD
Associate Research Scientist in PsychiatryCards
About
Research
Publications
2025
Harnessing precision nutrition to individualize weight restoration in anorexia nervosa
Rodriguez I, Huckins L, Bulik C, Xu J, Igudesman D. Harnessing precision nutrition to individualize weight restoration in anorexia nervosa. Journal Of Eating Disorders 2025, 13: 29. PMID: 39962541, PMCID: PMC11834214, DOI: 10.1186/s40337-025-01209-x.Peer-Reviewed Original ResearchWeight restorationPrecision nutritionAnorexia nervosaGut microbiotaIndividualized nutrition therapyPsychiatric comorbiditiesHabitual lifestyle behaviorsPrecision nutrition approachesDuration of illnessRestore microbial diversityNutrition therapySevere psychiatric disordersNutrition prescriptionKeystone taxaDietary interventionGenetic markersMicrobial diversityWeight outcomesMetabolic profileEffective treatmentDietary planNutritional approachFecal energy lossPatient recoveryMortality rateGenetics of Anorexia Nervosa Translation to Future Personalized Therapies
Xu J, Igudesman D, Huckins L, Bulik C. Genetics of Anorexia Nervosa Translation to Future Personalized Therapies. Psychiatric Clinics Of North America 2025 DOI: 10.1016/j.psc.2025.01.007.Peer-Reviewed Original Research
2024
Evaluation of imputation performance of multiple reference panels in a Pakistani population
Xu J, Liu D, Hassan A, Genovese G, Cote A, Fennessy B, Cheng E, Charney A, Knowles J, Ayub M, Peterson R, Bigdeli T, Huckins L. Evaluation of imputation performance of multiple reference panels in a Pakistani population. Human Genetics And Genomics Advances 2024, 6: 100395. PMID: 39696820, PMCID: PMC11759560, DOI: 10.1016/j.xhgg.2024.100395.Peer-Reviewed Original ResearchGenome-wide association studiesReference panelImputation accuracyMultiple reference panelsPakistani individualsGenotype imputationAssociation studiesGenotype dataAncestry compositionEuropean individualsSample sizeTOPMedDiverse populationsPakistani populationImputationGenomeAncestryIndividualsGenotypesPopulationVariantsFuture panelsW22. EATING DISORDERS OVER THE WEIGHT SPECTRUM: DISSECTING GENETIC DIFFERENCES OF EATING DISORDERS, THINNESS, AND OBESITY
Xu J, Signer R, Hicks E, Johnston K, Termorshuizen J, Group P, Bulik C, Huckins L. W22. EATING DISORDERS OVER THE WEIGHT SPECTRUM: DISSECTING GENETIC DIFFERENCES OF EATING DISORDERS, THINNESS, AND OBESITY. European Neuropsychopharmacology 2024, 87: 112. DOI: 10.1016/j.euroneuro.2024.08.231.Peer-Reviewed Original ResearchTissue-specific mannerSignificant genesCC-GWASGenetic distanceConstitutional thinnessIdentified multiple risk variantsBonferroni significanceGenome-wide lociGenome-wide significanceMultiple risk variantsConcordant effect directionsBinge eatingClinical differencesEating disordersGTEx v8S-PrediXcanAN-BGene associationsGenetic relationshipsRisk variantsRisk genesWeight-related traitsGenetic etiologyGenesDifferential expressionExploiting 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 ResearchConceptsGenome-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
2023
Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals
Zhou H, Kember R, Deak J, Xu H, Toikumo S, Yuan K, Lind P, Farajzadeh L, Wang L, Hatoum A, Johnson J, Lee H, Mallard T, Xu J, Johnston K, Johnson E, Nielsen T, Galimberti M, Dao C, Levey D, Overstreet C, Byrne E, Gillespie N, Gordon S, Hickie I, Whitfield J, Xu K, Zhao H, Huckins L, Davis L, Sanchez-Roige S, Madden P, Heath A, Medland S, Martin N, Ge T, Smoller J, Hougaard D, Børglum A, Demontis D, Krystal J, Gaziano J, Edenberg H, Agrawal A, Justice A, Stein M, Kranzler H, Gelernter J. Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals. Nature Medicine 2023, 29: 3184-3192. PMID: 38062264, PMCID: PMC10719093, DOI: 10.1038/s41591-023-02653-5.Peer-Reviewed Original ResearchEating disorders: are gut microbiota to blame?
Xu J, Carroll I, Huckins L. Eating disorders: are gut microbiota to blame? Trends In Molecular Medicine 2023, 30: 317-320. PMID: 38040602, PMCID: PMC11009075, DOI: 10.1016/j.molmed.2023.11.007.Peer-Reviewed Original ResearchMULTI-ANCESTRY PHENOME-WIDE ASSOCIATION ANALYSES OF GENETIC LIABILITY FOR PROBLEMATIC ALCOHOL USE
Kember R, Johnson J, Johnston K, Lee H, Xu J, Davis L, Smoller J, Mallard T, Huckins L, Sanchez-Roige S, Kranzler H, Gelernter J, Zhou H. MULTI-ANCESTRY PHENOME-WIDE ASSOCIATION ANALYSES OF GENETIC LIABILITY FOR PROBLEMATIC ALCOHOL USE. European Neuropsychopharmacology 2023, 75: s10. DOI: 10.1016/j.euroneuro.2023.08.027.Peer-Reviewed Original Research
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 ResearchConceptsElectronic 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 studyIdentifying Genetic Components of Anorexia Nervosa Through Pathway Polygenic Risk Scores
Xu J, Johnson J, Choi S, García-González J, Consortium E, Bulik C, O’Reilly P, Huckins L. Identifying Genetic Components of Anorexia Nervosa Through Pathway Polygenic Risk Scores. Biological Psychiatry 2022, 91: s70. DOI: 10.1016/j.biopsych.2022.02.194.Peer-Reviewed Original Research
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