1 of 2: Identification of Rare Variants of OCD
1 of 2: Identification of Rare Variants of OCD
批准号:
8502907
负责人:
David B. Goldstein
金额:
$41.42万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-08-15 至 2018-06-30
关键词:
AffectAgeAllelesAreaClinical DataCollaborationsCommitComplexData LinkagesDevelopmentDiseaseDrug TargetingEtiologyExhibitsExtended FamilyFamilyFamily StudyFamily memberFrequenciesGenesGeneticGenomicsGenotypeHeritabilityHuman GeneticsIndividualLarge-Scale SequencingLocationMental disordersModelingMolecularMolecular GeneticsMutationNeurobiologyObsessionObsessive-Compulsive DisorderPathway interactionsPatientsPhenotypePopulationPropertyRecontactsRelative (related person)ResearchRiskRisk FactorsSamplingScientistSignal TransductionSyndromeTechnologyTestingThinkingTimeUniversitiesVariantWeightWorkbasecase controleffective therapyfield studygenetic linkage analysisgenetic pedigreegenetic risk factorgenetic variantgenome sequencinggenome wide association studygenome-widegenome-wide linkageimprovedinsightinterestmembernext generationnovelpublic health relevance
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Obsessive-compulsive disorder (OCD) is one of the most common and incapacitating psychiatric disorders. Currently, the cause of OCD is unknown, and while treatments are available, there is no specific cure. Therefore, understanding the molecular and genetic mechanisms leading to OCD will be critical for the development of effective treatments. This is a collaborative proposal to study OCD at the molecular and patient levels. Thus far, human genetic studies in OCD have neither identified a genetic locus with a major effect using linkage studies nor found common variants associated with the condition using GWAS studies. Given the technological advances that permit large-scale sequencing, there is now the opportunity to detect putative rare functional mutations for this genetically complex condition. In this application, we propose to directly test the hypothesis
that rare variants influence this disease by using cutting-edge next generation whole-genome sequencing technologies. The efficiency of identifying variants relevant for OCD will be increased by sequencing the 150 cases in large, multiplex families that are most likely to exhibit a rare mutation. Variants will be prioritized using a Bayesian multi-variant liability regression model based upon their frequency in normal controls, their functional annotation, their conservation, their enrichment in cases, and their genomic location with regard to linkage peaks and GWAS signals. The multiplex families in the study will be recontacted and assessed to identify additional relatives who had not passed through the age of risk at the time of the initial
family assessment. Identifying additional affecteds will improve the sensitivity of the linkage analysis in each family, this enhancing the prioritization of variants. Subsequently, 8,000 candidate variants will be genotyped in an independent sample of 800 unrelated OCD cases and 750 controls, as well as two relatives in each multiplex family, using a large-scale iSelect chip, to identify potentially causative variants. Additionally, implicated genes will be sequenced using the MiSeq platform to identify cases with different causal variants within the same genes. If successful, these studies will open up the field for neurobiology and human genetic studies of OCD and will provide insight for new strategies to develop more effective treatments for OCD.
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