Statistical methods to localize disease heritability and identify biological mechanisms
Statistical methods to localize disease heritability and identify biological mechanisms
批准号:
10379539
负责人:
Benjamin Michael Neale
金额:
$12.54万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-07-01 至 2023-05-31
关键词:
AddressAdministrative SupplementAffectAfrican AmericanAttentionBiologicalBipolar DisorderChronicClinicalComplexConsensusDataDevelopmentDiseaseEuropeanEvaluationGeneral PopulationGeneticGenetic RiskGenetic VariationGenomeHeritabilityIndividualLocalized DiseaseMeasuresMedicineMental disordersMethodologyPerformancePhenotypePopulationPopulation HeterogeneityProcessPsychosesResearchRiskRisk AssessmentSamplingSchizophreniaStatistical MethodsSupervisionTrainingVariantWorkbaseexperiencegenetic analysisgenetic associationgenetic variantgenome wide association studyhigh riskimprovedmeetingsparent grantpolygenic risk scorepreventive interventionsuccesssymptomatologytooltraitvirtualworking group
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY/ABSTRACT
Schizophrenia is a psychotic, chronic and disabling disorder, affecting about 1% of the general
population. Identifying individuals at risk for developing this disorder is crucial for establishing
preventive interventions. So far, the assessment of risk of developing psychosis has been based
primarily on clinical features, the accuracy of which is not optimal for development and
implementation of preventive interventions. Evaluation of psychosis risk improves when genetic
risk is taken into account. Thus, development of robust measure of genetic risk for psychosis
offers a possibility of improvement in assessment of psychosis risk. Recent success of genome-
wide association studies in schizophrenia allows the calculation of a polygenic risk score that
reflects a cumulative impact of common genetic variants on the development of the disorder and
related phenotypes. The aim of this study is to examine the performance of such schizophrenia
polygenic score on evaluation of psychosis risk in a sample of individuals at high risk of developing
psychosis based on clinical features. The examination will extend to the performance of the
genetic score in individuals of non-European descent. This will advance our tools for identification
of psychosis risk and, consequently, its preventive interventions in diverse populations.
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Statistical methods to localize disease heritability and identify biological mechanisms
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批准号:10431843
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项目类别:
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资助金额:$84.67万
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财政年份:2015
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负责人:Benjamin Michael Neale
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依托单位:
Statistical methods to localize disease heritability and identify biological mechanisms
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批准号:10834328
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Quantifying the impact of rare mutations on ADHD
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批准号:8871524
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财政年份:2012
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Quantifying the impact of rare mutations on ADHD
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批准号:8471783
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资助金额:$56.49万
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财政年份:2012
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负责人:Benjamin Michael Neale
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Quantifying the impact of rare mutations on ADHD
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批准号:8297528
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资助金额:$67.8万
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财政年份:2012
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Quantifying the impact of rare mutations on ADHD
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批准号:8659504
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资助金额:$58.12万
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财政年份:2012
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依托单位:
Common Complex Trait Genetics of Reproductive Phenotypes
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批准号:9910433
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资助金额:$25.65万
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财政年份:--
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负责人:Benjamin Michael Neale
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依托单位:
Common Complex Trait Genetics of Reproductive Phenotypes
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批准号:9180127
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项目类别:
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资助金额:$25.07万
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财政年份:--
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负责人:Benjamin Michael Neale
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依托单位:
Common Complex Trait Genetics of Reproductive Phenotypes
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批准号:9322877
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项目类别:
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资助金额:$25.65万
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财政年份:--
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负责人:Benjamin Michael Neale
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依托单位:
海外基金