Modeling gene x environment interactions in post-traumatic stress disorder.
Modeling gene x environment interactions in post-traumatic stress disorder.
批准号:
10750239
负责人:
Carina Seah
金额:
$5.19万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-06-26 至 2027-06-25
关键词:
AdvocacyAffectAmygdaloid structureAreaAutopsyBiologyBloodBrainBrain regionCRISPR screenCatalogsCellular Indexing of Transcriptomes and Epitopes by SequencingClinical ResearchClustered Regularly Interspaced Short Palindromic RepeatsCognitiveComplexCore FacilityDataDetectionDevelopmentDiagnosisDiseaseDistalEarly DiagnosisEarly InterventionEarly treatmentElectronic Health RecordElementsEnvironmentEnvironmental ExposureEnvironmental Risk FactorEtiologyExposure toFellowshipFunctional disorderFutureGene ExpressionGene TargetingGenesGeneticGenetic RiskGenetic TranscriptionGenomicsGenotypeGlossaryGoalsHeritabilityHumanHydrocortisoneIn VitroIndividualInstitutionJointsLeadershipLinkMapsMeasuresMedialMediatingMentorshipMethodsModelingNatureNeuronsNeurosciencesOutcomePathway interactionsPatient riskPatientsPatternPhenotypePhysiciansPost-Traumatic Stress DisordersPredispositionPrefrontal CortexQuantitative Trait LociRegulationResearchResourcesRiskRisk EstimateRoleSamplingScholarshipScientistSingle Nucleotide PolymorphismStratificationStressTrainingTraining SupportTranslatingTraumaTraumatic Brain InjuryUniversitiesUntranslated RNAValidationVariantVisualWorkaccurate diagnosticsalgorithm developmentbiobankbiological adaptation to stressbiomarker discoverybrain cellbrain tissuecare deliverycell typeclinical practiceclinical riskclinically relevantcohortcomputing resourcesconditioned feardisorder riskexperimental studygene environment interactiongene interactiongenetic elementgenetic variantgenome wide association studygenome-widegenomic locusimprovedin vitro Modelmedical schoolsnoveloutcome predictionpatient stratificationpediatric traumapersonalized medicinephenomephysiologic modelprogramsresiliencerisk predictionrisk stratificationrisk variantscientific computingsingle-cell RNA sequencingstatisticstheoriestranscriptomicstranslational impacttranslational potentialtrauma exposuretraumatic eventvariant detection
中文摘要
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英文摘要
PROJECT SUMMARY
Posttraumatic stress disorder (PTSD) is a common, debilitating disorder, triggered by exposure to a traumatic
event. PTSD is often under-diagnosed and undertreated, despite early detection and treatment governing
favorable outcomes. Better identification of elements of disorder susceptibility or resilience is important for
prompt delivery of care to mitigate disorder burden. As PTSD has shown to be heritable, a prevailing theory of
disorder susceptibility is genetic. Large-scale genome wide association studies (GWAS) have revealed an
estimated single-nucleotide polymorphism (SNP)-based heritability of 5-20%. Yet, environmental factors, such
as childhood trauma, have also shown to independently predict PTSD development. Genome-wide integration
of PTSD-associated genetic loci with stressful exposures may elucidate gene by environment interactions that
influence disorder susceptibility. In this proposal, I will investigate loci with joint genetic and environmental
contributions to PTSD risk, employing an integrative multi-level approach to examine and validate brain region
and cell type-specific regulation. One major issue integrating GWAS findings with environmental exposures is
the largely non-coding nature of GWAS-identified loci, obscuring clear functional ramifications. To overcome this,
I will associate identified variants with nearby expression changes to uncover regulation of proximal or distal
gene targets. Such variants with transcriptomic regulatory activity are termed expression quantitative trait loci
(eQTLs). As transcriptomic regulation is context-dependent, eQTLs capture genetically and environmentally
regulated expression, making them useful for deciphering genomic regulation of PTSD. I performed a preliminary
eQTL search in post-mortem brain samples from the dorsolateral pre-frontal cortex (DLPFC), demonstrating that
stress-interactive eQTLs are detectable in brains of trauma-exposed cohorts. In Aim 1, I will extend this analysis
beyond the DLPFC to the medial amygdala, to uncover the regulatory landscape of genetic stress response
across the brain. In Aim 2, I will examine causality of these variants to demonstrate stress-dependent regulation.
I have developed an in vitro model capturing PTSD-specific stress response. In this model, candidate effector
variants will be interrogated for downstream effects impacting disorder biology. This will be accomplished via
training in large scale CRISPR-screening methods and in computational probing of convergent downstream
pathways. This work will take place within the Icahn School of Medicine at Mount Sinai (ISMMS) and Yale
University, currently ranked #11 and #10 among the nation’s best medical schools for research, respectively.
Between the Departments of Genetics and Neuroscience, I am supported by over 100,000 ft2 of research
programs and 4500 ft2 of institutional core facilities, in addition to over $200 million in scientific computing
resources. Together, this fellowship leverages the resources of my institutional and the expertise of my co-
sponsors to support my training in four major areas: (1) Scientific excellence, (2) professional development and
scholarship, (3) mentorship, leadership, and advocacy, (4) and clinical-research integration.
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