Characterizing complex structural variation in Alzheimer's disease
Characterizing complex structural variation in Alzheimer's disease
批准号:
10033702
负责人:
Badri N Vardarajan
金额:
$507.27万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-15 至 2024-08-31
关键词:
AddressAffectAge of OnsetAlgorithmsAlzheimer&aposs DiseaseAwardBiologicalComplexConsensusCopy Number PolymorphismDNADNA Insertion ElementsDataData SetDetectionDevelopmentDiagnosisDiseaseElementsEpisodic memoryEthnic groupEtiologyFamilyFrequenciesGenesGeneticGenomeGenomicsGenotypeGoalsHeritabilityIndividualJointsKnowledgeLate Onset Alzheimer DiseaseMapsMethodsNational Human Genome Research InstituteNeurodevelopmental DisorderPatternPhasePhenotypePopulationPrevention strategyProteinsResourcesRiskRunningSample SizeSamplingShort Tandem RepeatStructureSystemTechnologyTestingTrans-Omics for Precision MedicineValidationVariantbasecase controlcohortdiagnostic biomarkereffective therapyendophenotypefollow-upgene functiongenetic architecturegenome sequencinggenome wide association studyhuman diseaseimprovedinsertion/deletion mutationinsightnovelnovel therapeuticsreference genometherapeutic biomarkerwhole genome
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PROJECT SUMMARY
Late-onset Alzheimer’s disease (LOAD) is genetically complex and thought to be associated with variants in a
number of different loci, including structural variants (SVs), which could in part explain the additional missing
heritability and genetic background. However, the impact of SVs on LOAD has not been systematically explored,
while findings regarding CNV associations with AD risk have been overall inconsistent. To address this gap in
knowledge, we propose to fully characterize the genetic architecture of SVs in LOAD by leveraging previously
generated large-scale whole genome sequencing data. To this end, we will systematically characterize SVs
across 39,000 samples from multi-ethnic, well-phenotyped individuals sequenced as a part of Alzheimer’s
Disease Sequencing Project (ADSP) discovery, extension replication (ADSP-DEP) and follow-up datasets
(ADSP-FUS), as well as in over 1000 multiplex families. Identification of novel SVs associated with LOAD could
implicate previously unknown genes and elucidate biological mechanisms that could be leveraged to generate
novel therapeutics and diagnostic markers.
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