Identifying genetic sources of comorbidity between cannabis and schizophrenia using genome-wide and integrative omics data
Identifying genetic sources of comorbidity between cannabis and schizophrenia using genome-wide and integrative omics data
批准号:
10364741
负责人:
Emma Covey Johnson
金额:
$15.73万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-04-01 至 2026-03-31
关键词:
AccountingAcuteAddressAnimal ModelAntipsychotic AgentsBehaviorBehavioralBioinformaticsBiologicalBiologyCannabisChildChildhoodChronicClinicalDataData AnalysesData SetDepression and SuicideDevelopmentDiseaseEducational StatusEpigenetic ProcessEtiologyExposure toFoundationsFundingFutureGene ExpressionGeneral PopulationGenesGeneticGenetic Predisposition to DiseaseGeographic stateGoalsHeritabilityIncidenceIndividualInvestigationLeadershipMapsMediatingMental disordersMentored Research Scientist Development AwardMentorshipMotivationMultiomic DataNeurobiologyOutcomePathway interactionsPatientsPersonsPoliciesPositioning AttributePredispositionPrefrontal CortexPsychosesPsychotic DisordersPublic HealthREM SleepRecording of previous eventsRelapseReportingResearchResearch PersonnelRiskRodentRodent ModelRoleSamplingSchizophreniaSourceSubgroupTestingTetrahydrocannabinolTherapeuticTimeTissue ModelTissuesTrainingUnited StatesUnited States National Institutes of HealthVariantVulnerable PopulationsWorkactionable mutationaddictionadverse outcomebehavior testcareercareer developmentcausal variantclinical effectclinical translationcomorbiditycostdata integrationdesignexperimental studyfirst episode psychosisfollow-upgenetic architecturegenetic variantgenome wide association studygenome-widehigh riskhigh risk populationhuman datahuman modelhuman tissueinsightlongitudinal coursemarijuana legalizationmarijuana usemarijuana use disordermarijuana usermultiple omicsnovelpleiotropismpolygenic risk scorepopulation basedpsychiatric comorbiditypsychosocialskillssubstance use treatmenttranscriptomics
中文摘要
项目摘要
娱乐性大麻的使用在美国变得越来越普遍,即使在脆弱的人群中也是如此
人口。在人们对长期使用大麻可能产生的不良后果日益担忧的情况下,
有证据表明,大麻使用障碍(Cud)与多种疾病的易感性有遗传关联。
行为(例如,较低的教育成就)和精神(例如,精神分裂症)结果,从而带来
质疑先前的因果关系主张。最具争议性的讨论围绕大麻的作用
在精神分裂症(SCZ)和精神病病因学中的应用和CUD。虽然现在有大量的
支持共同遗传影响的证据,研究还概述了特别是
高效形式的四氢大麻酚(THC)。系统地寻找支持的多效性变体
CUD和SCZ之间的这种共病不仅可以提供对共享生物学的洞察,而且还可以概述
确定处于最大风险的个人亚群的途径。这是研究科学家发展的指导者
AWARD(K01)提出了一项研究计划,该计划利用了目前全基因组范围内最大的一些可用的研究计划
关联研究(GWAS)数据集:(A)进行CUD和SCZ的交叉无序GWAS,并将其进行对比
利用与SCZ类似的大麻使用交叉紊乱分析的结果,确定汇聚和
不同的影响;(B)使用遗传知情的方法测试因果关系,并加以管理
来自人类和啮齿动物大麻暴露和SCZ模型的组学数据,以精细绘制重要基因座和
进一步优先考虑生物可信性的因果变异;以及(C)利用从
这些交叉障碍分析,以确定与首发精神病,大麻诱导的精神病,
和儿童期精神病--独立样本中的倾向。这些研究目标建立在四个关键的基础上
培训目标将增强申请者成为NIH资助的独立人士的职业目标
研究成瘾和精神疾病的调查员。这些培训目标包括:(A)
深入了解急性和长期接触大麻的临床影响,(B)综合
地理信息系统后注释的生物信息学方法,包括跨物种数据(C)评价
大麻和SCZ共病的神经生物学基础,以及(D)
领导力和导师职位。申请者以她目前的资金和培训为基础
先进的统计遗传学通过增加更广泛地与多种疾病相关的新方面来解决共病
组学数据集成,更具体地说,涉及大麻和大麻之间独特但普遍存在的共病
SCZ.总之,这项培训和研究计划将产生对共享基因的一些初步见解
CUD和SCZ的病因学基础,并为未来的功能靶向研究提供机会,
最终目标是生产能够部分缓解严重的个人成本的治疗替代方案
SCZ患者的慢性大麻使用情况。
英文摘要
Project Summary
Recreational cannabis use is becoming increasingly common in the United States, even within vulnerable
populations. Amidst growing concerns surrounding the possible adverse consequences of chronic cannabis use,
there is evidence that cannabis use disorder (CUD) is genetically correlated with susceptibility to several
behavioral (e.g., lower educational achievement) and psychiatric (e.g., schizophrenia) outcomes, thus bringing
into question prior causal claims. The most aggressively contested discussion surrounds the role of cannabis
use and CUD in the etiology of schizophrenia (SCZ) and psychotic illness. While there is now an abundance of
evidence supporting shared genetic influences, studies also outline the psychotomimetic effects of especially
high potency forms of tetrahydrocannabinol (THC). A systematic search for pleiotropic variants that undergird
this comorbidity between CUD and SCZ can not only provide insights into shared biology, but also outline
avenues for identifying subgroups of individuals at greatest risk. This Mentored Research Scientist Development
Award (K01) proposes a research plan that leverages some of the largest currently available genome-wide
association study (GWAS) datasets to (a) conduct a cross-disorder GWAS of CUD with SCZ, and to contrast it
with findings from a similar cross-disorder analysis of cannabis use with SCZ, to identify loci of convergent and
divergent effect; (b) to test for a causal relationship using a genetically-informed approach and harness curated
`omics data from human and rodent models of cannabis exposure and SCZ, to fine-map significant loci and
further prioritize causal variants for biological plausibility; and (c) to utilize polygenic risk scores derived from
these cross-disorder analyses to identify associations with first-episode psychosis, cannabis-induced psychosis,
and childhood psychosis-proneness in independent samples. These research aims are founded on four key
training objectives that will enhance the applicant's career goal of becoming an NIH-funded independent
investigator who works at the interface of addictions and psychiatric illness. These training objectives include (a)
a deep understanding of the clinical effects of acute and chronic exposure to cannabis, (b) integrative
bioinformatics approaches for post-GWAS annotation, including cross-species data (c) an appreciation of the
neurobiology underlying the comorbidity between cannabis and SCZ, and (d) career development towards
leadership and mentorship positions. The applicant builds upon her current funding and training directed at
advanced statistical genetics to addressing comorbidity by adding on novel facets relating more broadly to multi-
omics data integration and more specifically to the unique yet ubiquitous comorbidity between cannabis and
SCZ. Together, this training and research plan will produce some of the first insights into the shared genetic
etiology underlying CUD and SCZ and provide opportunities for functionally targeted future studies, with the
ultimate objective of producing therapeutic alternatives that can partially mitigate the serious personal costs of
chronic cannabis use in SCZ patients.
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会议论文
Using genomics and extensive phenotyping to dissect the relationships between substance use disorders and chronic pain
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批准号:10797779
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项目类别:
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资助金额:$15.55万
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财政年份:2023
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负责人:Emma Covey Johnson
-
依托单位:
Identifying genetic sources of comorbidity between cannabis and schizophrenia using genome-wide and integrative omics data
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批准号:10594423
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项目类别:
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资助金额:$15.73万
-
财政年份:2021
-
负责人:Emma Covey Johnson
-
依托单位:
Identifying genetic sources of comorbidity between cannabis and schizophrenia using genome-wide and integrative omics data
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批准号:10215104
-
项目类别:
-
资助金额:$15.73万
-
财政年份:2021
-
负责人:Emma Covey Johnson
-
依托单位:
海外基金