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ABSTRACT Model organisms are invaluable for understanding the role of genes in human disease and will be key to assessing the impact of millions of specific genetic variants uncovered by high-throughput genome sequencing. The modeling of specific genetic variants is predicated on model organisms engineered using precisely targeted genetic manipulations, careful and accurate variant annotation, and precise phenotyping. The modeling will also require advanced informatics capabilities to integrate variant information across species, support variant nomination and assessment, track model production and associated experimental data via a LIMS system, and to disseminate the information and engage the community via a web portal. Variant information from model organisms may provide insight into the molecular mechanism underlying a phenotype of interest, inform the specific genetic targeting strategy, and influence choice of model organism. As variant annotation resources continue to add information and new resources come online, informatics workflows must be able to accommodate and incorporate them into the model production process. The Bioinformatics Section of the BCM Center for Precision Medicine Modeling will develop these informatics capabilities by leveraging our extensive experience in multi-omic data integration and coordination, cross-species phenotype matching via the MARRVEL system, extension of our KOMP2 LIMS system implementation, and by leveraging key elements of the ClinGen Resource, an FDA-recognized repository for genomic information that we co-developed. By linking human and model information within integrated workflows, the infrastructure will facilitate precision modeling in one direction, and in the other direction will feed model-derived information and knowledge back to the community. By integrating variant resources and providing mechanisms for variant evaluation and information sharing, the Pre- Clinical/Co-Clinical and Disease Modeling Unit will more efficiently develop and evaluate model organisms. Bioinformatics infrastructure will support the variant evaluation process through final variant selection and presentation to the Steering Committee.
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Bioinformatics Section
  • 批准号:
    10471391
  • 项目类别:
  • 资助金额:
    $60.97万
  • 财政年份:
    2020
  • 负责人:
    Aleksandar Milosavljevic
  • 依托单位:
Bioinformatics Section
  • 批准号:
    10670780
  • 项目类别:
  • 资助金额:
    $51.01万
  • 财政年份:
    2020
  • 负责人:
    Aleksandar Milosavljevic
  • 依托单位:
GENOMIC INDEXING OF COMMON FUND DATASETS
  • 批准号:
    10907970
  • 项目类别:
  • 资助金额:
    $115.25万
  • 财政年份:
    2020
  • 负责人:
    Aleksandar Milosavljevic
  • 依托单位:
GENOMIC INDEXING OF COMMON FUND DATASETS
  • 批准号:
    10683511
  • 项目类别:
  • 资助金额:
    $78.51万
  • 财政年份:
    2020
  • 负责人:
    Aleksandar Milosavljevic
  • 依托单位:
国内基金
海外基金
患者依从性与脑卒中后跌倒风险相关性及“Teach-Back ”护理干预效应研究
  • 批准号:
    2026JJ81464
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    叶婷
  • 依托单位:
基于Teach-back药学科普模式的慢阻肺患者吸入用药依从性及疗效研究
  • 批准号:
    2024KP61
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    余丹
  • 依托单位:
基于Quench-Back保护的超导螺线管磁体失超过程数值模拟研究
  • 批准号:
    51307073
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    25.0万元
  • 批准年份:
    2013
  • 负责人:
    郭兴龙
  • 依托单位: