Core C- Biostatistics and Data Analysis Core

核心C-生物统计和数据分析核心

• 批准号: 10388087
• 负责人: Adam Christian Naj
• 金额: $ 90.69万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-15 至 2026-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10388087
• 关键词: Accounting; Admixture; Age; Alzheimer' s Disease; Alzheimer' s Disease Core Center; Alzheimer' s disease related dementia; Back; Benchmarking; Biological Assay; Biometry; Cloud Computing; Collaborations; Communities; Data; Data Analyses; Data Set; Data Sources; Development; Disease; Ethnic Origin; Family; Genetic; Genome; Genomics; Genotype; Heterogeneity; Institution; Joints; Meta-Analysis; Output; Performance; Process; Production; Protocols documentation; Quality Control; Race; Reporting; Research Personnel; Sampling; Sensitivity and Specificity; Source; Statistical Data Interpretation; Testing; Trans-Omics for Precision Medicine; Update; Validation; Variant; Work; analysis pipeline; base; case control; cloud based; cluster computing; computerized data processing; data quality; data repository; design; endophenotype; follow up assessment; genome wide association study; heterogenous data; insertion/deletion mutation; phenotypic data; quality assurance

Core C Project Summary Core C (Quality Control/Quality Assurance and Statistical Analysis Core) primary focuses on a) the development, implementation, and validation of “best practices” at all steps of the GCAD data production activities; and b) the planning and performance of association meta-analyses combining ADSP and non-ADSP datasets. Specific Aims are: (1) Evaluate variant quality differences between original and updated calling pipelines; (2) Develop/Extend Quality Control/Quality Assurance (QC/QA) Pipelines; (3) Quality Assurance of ADES+ADSP Sequencing Joint Calling and Association Analysis; (4) Quality Assurance of of TOPMed+ADSP Sequence Joint Calling and Association Analysis; (5) Developing/Extending SV Calling best practices for ADSP sequencing data.

Core C 项目总结 核心 C（质量控制/质量保证和统计分析核心）主要关注 a) GCAD 所有步骤中“最佳实践”的开发、实施和验证 数据生产活动；和 b) 关联荟萃分析的规划和执行 结合 ADSP 和非 ADSP 数据集的具体目标是： (1) 评估变体质量。 (2) 开发/扩展质量 控制/质量保证（QC/QA）管道；（3）ADES+ADSP的质量保证 测序联合调用和关联分析；（4）TOPMed+ADSP的质量保证 序列联合调用和关联分析；（5）开发/扩展SV Calling best ADSP 测序数据的实践。