2025
Genotype-environment-driven dysbiosis in the skin microbiome of ichthyosis
Zhou W, Ring N, Caldwell R, Milstone L, Oh J. Genotype-environment-driven dysbiosis in the skin microbiome of ichthyosis. Journal Of Investigative Dermatology 2025 PMID: 40571157, DOI: 10.1016/j.jid.2025.06.1568.Peer-Reviewed Original ResearchSkin microbiomeMetabolic pathway levelTransepidermal water lossHost covariatesMetabolic potentialMicrobiome featuresPathway levelImpact hostCutaneous microbiomeMicrobiomeGroup of patientsGenotypesComplex interactionsTGM1Environmental factorsRetinoid usePhenotypeWater lossHostIchthyosisClinical treatmentDiseased skinGenotype-relatedDysbiosisSkinInvestigating the familiality of trichotillomania and excoriation disorder
Chen D, Farhat L, Lebowitz E, Silverman W, Bloch M, Fernandez T, Olfson E. Investigating the familiality of trichotillomania and excoriation disorder. Psychiatry Research 2025, 350: 116560. PMID: 40449230, PMCID: PMC12179820, DOI: 10.1016/j.psychres.2025.116560.Peer-Reviewed Original ResearchConceptsFamily history of mental health disordersFirst-degreeHistory of mental health disordersSelf-reported family historyExcoriation disorderFamily history of individualsMental health historyMental health disordersFamily history of anxietyHistory of anxietyCross-sectional survey responsesFirst-degree relativesHealth historyHealth disordersFamily historySurvey responsesAged 4Etiological underpinningsTrichotillomaniaAnxietyDepressionIndividualsHistory of individualsDisordersEnvironmental factorsExploring the link between grandmaternal air pollution exposure and Grandchild’s ASD risk: A multigenerational population-based study in California
O'Sharkey K, Chow T, Mitra S, Thompson L, Su J, Cockburn M, Liew Z, Ritz B. Exploring the link between grandmaternal air pollution exposure and Grandchild’s ASD risk: A multigenerational population-based study in California. Environment International 2025, 200: 109526. PMID: 40378475, DOI: 10.1016/j.envint.2025.109526.Peer-Reviewed Original ResearchConceptsAir pollutionLand-use regression modelsExposure to air pollutionAP exposureAir pollution exposureMaternal pregnancy exposuresPopulation-based cohortPopulation-based studyMultigenerational exposurePollution exposureLand-useIncreased ASD riskPregnancy exposurePollutionASD riskInfluence ASD riskMaternal pregnancyExposure levelsInfant exposureLogistic regressionMaternal exposureRisk factorsRegression modelsIncreased prevalenceEnvironmental factorsIntegrating genomic and spatial analyses to describe tuberculosis transmission: a scoping review
Lan Y, Rancu I, Chitwood M, Sobkowiak B, Nyhan K, Lin H, Wu C, Mathema B, Brown T, Colijn C, Warren J, Cohen T. Integrating genomic and spatial analyses to describe tuberculosis transmission: a scoping review. The Lancet Microbe 2025, 101094. PMID: 40228509, DOI: 10.1016/j.lanmic.2025.101094.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsGenome sequencing approachGenetic similarityGenomic dataSequencing approachGenotyping methodsPathogen geneticsGenetic methodsPathogen sequencesSampling completenessTuberculosis isolatesTransmission patternsTuberculosis casesPathogensTuberculosis transmissionM tuberculosis isolatesInfection-related mortalityEnvironmental factorsTuberculosis transmission dynamicsSpatial proximityTransmission clustersGenomeSpatial patternsTuberculosisTransmission dynamicsGeneticsPsychiatric genetics in the diverse landscape of Latin American populations
Bruxel E, Rovaris D, Belangero S, Chavarría-Soley G, Cuellar-Barboza A, Martínez-Magaña J, Nagamatsu S, Nievergelt C, Núñez-Ríos D, Ota V, Peterson R, Sloofman L, Adams A, Albino E, Alvarado A, Andrade-Brito D, Arguello-Pascualli P, Bandeira C, Bau C, Bulik C, Buxbaum J, Cappi C, Corral-Frias N, Corrales A, Corsi-Zuelli F, Crowley J, Cupertino R, da Silva B, De Almeida S, De la Hoz J, Forero D, Fries G, Gelernter J, González-Giraldo Y, Grevet E, Grice D, Hernández-Garayua A, Hettema J, Ibáñez A, Ionita-Laza I, Lattig M, Lima Y, Lin Y, López-León S, Loureiro C, Martínez-Cerdeño V, Martínez-Levy G, Melin K, Moreno-De-Luca D, Muniz Carvalho C, Olivares A, Oliveira V, Ormond R, Palmer A, Panzenhagen A, Passos-Bueno M, Peng Q, Pérez-Palma E, Prieto M, Roussos P, Sanchez-Roige S, Santamaría-García H, Shansis F, Sharp R, Storch E, Tavares M, Tietz G, Torres-Hernández B, Tovo-Rodrigues L, Trelles P, Trujillo-ChiVacuan E, Velásquez M, Vera-Urbina F, Voloudakis G, Wegman-Ostrosky T, Zhen-Duan J, Zhou H, Santoro M, Nicolini H, Atkinson E, Giusti-Rodríguez P, Montalvo-Ortiz J. Psychiatric genetics in the diverse landscape of Latin American populations. Nature Genetics 2025, 57: 1074-1088. PMID: 40175716, PMCID: PMC12133068, DOI: 10.1038/s41588-025-02127-z.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesPsychiatric genomicsPsychiatric genome-wide association studiesLarge-scale genome-wide association studiesGenetic risk lociNon-European populationsGenetic diversityRisk lociGenetic admixtureBurden of psychiatric disordersAssociation studiesPsychiatric disordersEuropean ancestryPsychiatric geneticsGenomeHealthcare disparitiesConsortium effortLatin American populationsPromote equityEnvironmental factorsDiversityAmerican populationDiverse landscapeLociAncestryDiversifying Psychiatric Genomics Globally Inclusive Strategies Toward Health Equity
Giusti-Rodríguez P, Okewole N, Jain S, Montalvo-Ortiz J, Peterson R. Diversifying Psychiatric Genomics Globally Inclusive Strategies Toward Health Equity. Psychiatric Clinics Of North America 2025, 48: 241-256. PMID: 40348415, DOI: 10.1016/j.psc.2025.01.003.Peer-Reviewed Original ResearchConceptsPerpetuate health inequitiesHealth care outcomesMental health conditionsHealth inequalitiesCare outcomesMental healthHealth conditionsAncestral diversityPsychiatric geneticsCapacity buildingData useDisease etiologyEnvironmental factorsPrecision medicineClinical impactGlobal collaborationHealthParticipantsResearch methodOutcomesMedicineGeneticsPopulationPracticeResearchThe case-only design is a powerful approach to detect interactions but should be used with caution
Dong R, Wang G, DeWan A, Leal S. The case-only design is a powerful approach to detect interactions but should be used with caution. BMC Genomics 2025, 26: 222. PMID: 40050722, PMCID: PMC11884093, DOI: 10.1186/s12864-025-11318-1.Peer-Reviewed Original ResearchConceptsCase-only designRare disease assumptionType I error rateIncreased type I error ratesDisease prevalenceInvestigated type I errorComplex traitsInteraction termsInteraction effect sizesDetect interactionsCase-control designControlled type I error ratesSample sizeHigher disease prevalenceEffect sizeLow disease prevalenceType I errorPrevalenceExposure frequencyGenesType I andDesign studyEnvironmental factorsTraitsEnvironment interactionEnvironMental Health: A Framework for an Emerging Field at the Intersection of the Environment and Mental Health Crises
Ratjen L, Goddard E, Gilcher E, Nguyen B, Kelley M, Feldman H, Akalaonu K, Nyhan K, Backhaus A, Lascurain M, Wyrtzen N, Smith S, Prabhu M, Lowe S, Chen K, Zimmerman J, Anastas P. EnvironMental Health: A Framework for an Emerging Field at the Intersection of the Environment and Mental Health Crises. GeoHealth 2025, 9: e2024gh001254. PMID: 39958831, PMCID: PMC11826329, DOI: 10.1029/2024gh001254.Peer-Reviewed Original ResearchCognitive healthReview of reviewsMental health conditionsMental health crisisAttention-deficit/hyperactivity disorderBehavioral healthMental healthHealth conditionsHealthPublic healthEconomic burdenWell-beingNeuropsychological healthHealth crisisSocial factorsContextual needsAttention-deficit/hyperactivityEnvironmental factorsGreen spacesHealthcareDementiaFunding strategiesConceptual frameworkFundingBurdenUnderstanding the Etiology of Externalizing Problems in Young Children: The Roles of Callous-Unemotional Traits and Irritability
Hung I, Viding E, Stringaris A, Ganiban J, Saudino K. Understanding the Etiology of Externalizing Problems in Young Children: The Roles of Callous-Unemotional Traits and Irritability. Journal Of The American Academy Of Child & Adolescent Psychiatry 2025 PMID: 39824381, DOI: 10.1016/j.jaac.2025.01.005.Peer-Reviewed Original ResearchCallous-unemotional traitsNonshared environmental factorsExternalizing problemsYoung ChildrenNonshared environmental influencesExternalizing behavior problemsChild Behavior ChecklistLack of guiltCholesky modelEtiological influencesBehavior ChecklistBehavior problemsTwin ProjectEnvironmental associationsEnvironmental linksEtiological pathwaysStudy preregistrationEnvironmental influencesPrimary caregiversEnvironmental varianceTraitsChildrenEnvironmental factorsIrritationAngerEnvironmental impacts on childhood rhinitis: The role of green spaces, air pollutants, and indoor microbial communities in Taiyuan, a city in Northern China
Yang L, Gao H, Wang Y, Norbäck D, Zhao Z, Fu X, Sun Y, Zhang X. Environmental impacts on childhood rhinitis: The role of green spaces, air pollutants, and indoor microbial communities in Taiyuan, a city in Northern China. Ecotoxicology And Environmental Safety 2025, 289: 117662. PMID: 39756177, DOI: 10.1016/j.ecoenv.2024.117662.Peer-Reviewed Original ResearchConceptsAir pollutionGreen spacesEnhanced vegetation indexNormalized Difference Vegetation IndexIndoor microbiomeLevels of air pollutionAmbient air pollutionDay care centersCurrent rhinitisLand cover dataNorthern city of ChinaIndoor microbial communitiesVegetation indexBacterial 16S rRNASurrounding green spaceAssociated with current rhinitisCare centerGrassland proportionEnvironmental factorsNatural grasslandsInfluence respiratory healthAmplicon sequencingEnvironmental impactPollutionDifference Vegetation Index
2024
Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations
Liu J, Borsari B, Li Y, Liu S, Gao Y, Xin X, Lou S, Jensen M, Garrido-Martín D, Verplaetse T, Ash G, Zhang J, Girgenti M, Roberts W, Gerstein M. Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations. Cell 2024, 188: 515-529.e15. PMID: 39706190, DOI: 10.1016/j.cell.2024.11.012.Peer-Reviewed Original ResearchGenome-wide association studiesCase-control genome-wide association studyMultivariate genome-wide association studyGenetic lociAssociation studiesGenetic dataGenetic associationPhenotypeGeneticsEnvironmental factorsDetection powerElfn1Adolescent Brain Cognitive DevelopmentLociGenesPsychiatric disordersADORA3Digital phenotypingMarginal interaction test for detecting interactions between genetic marker sets and environment in genome-wide studies
Shen L, Amei A, Liu B, Xu G, Liu Y, Oh E, Zhou X, Wang Z. Marginal interaction test for detecting interactions between genetic marker sets and environment in genome-wide studies. G3: Genes, Genomes, Genetics 2024, 15: jkae263. PMID: 39538414, PMCID: PMC11708225, DOI: 10.1093/g3journal/jkae263.Peer-Reviewed Original ResearchGene-environment interactionsStudies of complex diseasesMulti-Ethnic Study of AtherosclerosisComplex diseasesGenetic marker setsGenome-wide analysisGenome-wide studiesHuman complex diseasesGene-alcohol interactionsMulti-Ethnic StudyGenetic main effectsStudy of AtherosclerosisSignal transduction pathwaysAssociated with hypertensionBlood pressureSystolic blood pressureGenetic markersEnvironmental factorsAlcohol intakeGenetic variantsTransduction pathwaysSurvival pathwaysMarker setsPathway analysisRare variantsLinking neuroimaging and mental health data from the ABCD Study to UrbanSat measurements of macro environmental factors
Goldblatt R, Holz N, Tate G, Sherman K, Ghebremicael S, Bhuyan S, Al-Ajlouni Y, Santillanes S, Araya G, Abad S, Herting M, Thompson W, Thapaliya B, Sapkota R, Xu J, Liu J, Schumann G, Calhoun V. Linking neuroimaging and mental health data from the ABCD Study to UrbanSat measurements of macro environmental factors. Nature Mental Health 2024, 2: 1285-1297. DOI: 10.1038/s44220-024-00318-x.Peer-Reviewed Original ResearchSymptoms of mental illnessAdolescent Brain Cognitive DevelopmentResidential addressesAdolescent Brain Cognitive Development StudyMental illnessMental healthSubject's residential addressMental health dataDevelopmental periods of childhoodChild healthHealth dataEnvironmental factorsBaseline visitPeriod of childhoodObservational studyPopulation characteristicsHealthIndividual symptomsStudy dataUrban livingIllnessNeurobehavioral researchBrain structuresCognitive developmentAdolescentsSex specific considerations in anterior cruciate ligament injuries in the female athlete: State of the art
Gianakos A, Arias C, Batailler C, Servien E, Mulcahey M. Sex specific considerations in anterior cruciate ligament injuries in the female athlete: State of the art. Journal Of ISAKOS Joint Disorders & Orthopaedic Sports Medicine 2024, 9: 100325. PMID: 39343300, DOI: 10.1016/j.jisako.2024.100325.Peer-Reviewed Original ResearchAnterior cruciate ligament (ACL) injuryFemale athletesSex-specific considerationsACL injuryNon-contact ACL injuryRate of anterior cruciate ligament (ACL) injuryIncreasing participation of femalesParticipation of femalesRehabilitation treatment strategiesReturn to sportIdentified risk factorsIncreased participationAthletesRisk factorsSportsACL reconstructionSex-specificACLTreatment strategiesInjuryReturnEnvironmental factorsSpecific considerationsHigh-Dimensional Gene–Environment Interaction Analysis
Wu M, Li Y, Ma S. High-Dimensional Gene–Environment Interaction Analysis. Annual Review Of Statistics And Its Application 2024 DOI: 10.1146/annurev-statistics-112723-034315.Peer-Reviewed Original ResearchFixed- and random-effects analysisG-E interaction analysisG-E interactionsVariable selectionFrequentist analysisGene-environmentRandom effects analysisGeneral frameworkStatistical propertiesProgression of complex diseasesDimension reductionHypothesis testingG-EComplex diseasesGenetic factorsInteraction analysisNonlinear effect analysisStatistical perspectiveDisease outcomeEnvironmental factorsPrediction-basedEstimation-basedPTMoreR-enabled cross-species PTM mapping and comparative phosphoproteomics across mammals
Wang S, Di Y, Yang Y, Salovska B, Li W, Hu L, Yin J, Shao W, Zhou D, Cheng J, Liu D, Yang H, Liu Y. PTMoreR-enabled cross-species PTM mapping and comparative phosphoproteomics across mammals. Cell Reports Methods 2024, 4: 100859. PMID: 39255793, PMCID: PMC11440062, DOI: 10.1016/j.crmeth.2024.100859.Peer-Reviewed Original ResearchConceptsP-siteSurrounding amino acid sequenceKinase-substrate networkQuantitative phosphoproteomic analysisFunctional enrichment analysisPhosphoproteomic resultsKinase motifsComparative phosphoproteomicsPTM sitesPhosphorylation eventsPhosphoproteomic analysisProteomic analysisEnrichment analysisMammalian speciesSpeciesEvolutionary anglePhosphoproteomeMotifEnvironmental factorsNon-human speciesPTMProteomicsKinaseMammalsProteinHuman genetics and epigenetics of alcohol use disorder
Zhou H, Gelernter J. Human genetics and epigenetics of alcohol use disorder. Journal Of Clinical Investigation 2024, 134: e172885. PMID: 39145449, PMCID: PMC11324314, DOI: 10.1172/jci172885.Peer-Reviewed Original ResearchConceptsEpigenome-wide association studiesEWAS studiesPower of GWASTranscriptome-wide associationGenome-wide scanAlcohol use disorderWhole-genome sequencingDrug-gene interactionsSingle-cell sequencingAssociation studiesDownstream analysisHuman geneticsGenetic variantsEpigenetic risk factorsVariant functionEpigenetic changesSpatial transcriptomicsUse disorderEpigeneticsDisease risk predictionGenetic correlationsDiversity of populationGeneticsComplex etiologyEnvironmental factorsMultiple metal exposures associate with higher amyotrophic lateral sclerosis risk and mortality independent of genetic risk and correlate to self-reported exposures: a case-control study
Jang D, Dou J, Koubek E, Teener S, Zhou L, Bakulski K, Mukherjee B, Batterman S, Feldman E, Goutman S. Multiple metal exposures associate with higher amyotrophic lateral sclerosis risk and mortality independent of genetic risk and correlate to self-reported exposures: a case-control study. Journal Of Neurology Neurosurgery & Psychiatry 2024, 96: jnnp-2024-333978. PMID: 39107037, DOI: 10.1136/jnnp-2024-333978.Peer-Reviewed Original ResearchAmyotrophic lateral sclerosis riskEnvironmental risk scoreAssociated with ALS riskALS riskGenetic riskRisk scorePolygenic risk scoresSelf-reported exposureGenome-wide association studiesStudy investigated associationsCase-control studySingle-nucleotide polymorphismsAssociation studiesExposure mixturesControl participantsExposure sourcesRiskParticipantsAmyotrophic lateral sclerosisSurvival modelsScoresAssociationEnvironmental factorsUrine metalsUrine samplesModifications on histone tails in Parkinson's disease.
Mao Q, Luo Z, Wang K, Chen B, Wang Z, Zhang Y, Wang X, Luo X. Modifications on histone tails in Parkinson's disease. SciBase Neurology 2024, 2 PMID: 39145143, PMCID: PMC11323098, DOI: 10.52768/neurology/1017.Peer-Reviewed Original ResearchHistone modificationsEpigenetic regulation of genesGene regulatory regionsGene expression regulationHistone tail modificationsRegulation of genesHistone marksChromatin structureRepressive marksRegulatory regionsExpression regulationHistone tailsTail modificationsHistone H2AEpigenetic modificationsEpigenetic regulationEpigenetic mechanismsHistoneGene expressionGenesGSK-J4Neural stem cellsA-synucleinEnvironmental factorsParkinson's diseaseCross-continental environmental and genome-wide association study on children and adolescent anxiety and depression
Thapaliya B, Ray B, Farahdel B, Suresh P, Sapkota R, Holla B, Mahadevan J, Chen J, Vaidya N, Perrone-Bizzozero N, Benegal V, Schumann G, Calhoun V, Liu J. Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression. Frontiers In Psychiatry 2024, 15: 1384298. PMID: 38827440, PMCID: PMC11141390, DOI: 10.3389/fpsyt.2024.1384298.Peer-Reviewed Original ResearchEarly life stressAdolescent anxietyLife stressMega-analysisCognitive Development StudyHypothalamic-pituitary-adrenal axisSupport IndexAssociated with anxietyRisk of anxietyExternalizing disordersAdolescent brainGenome-wide association studiesGenetic vulnerabilityAnxietyGenome-wide association analysisPublic health concernDepressionMental healthLinear mixed-effects modelsEnvironmental factorsMixed-effects modelsAssociation studiesTissue enrichment analysisGenetic associationGenomic significance
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply