Trans-Omics for Precision Medicine (TOPMed) Program

project

Trans-Omics for Precision Medicine (TOPMed), sponsored by the National Institutes of Health's National Heart, Lung and Blood Institute (NHLBI), is a program to generate scientific resources to enhance our understanding of fundamental biological processes that underlie heart, lung, blood and sleep disorders (HLBS). It is part of a broader Precision Medicine Initiative, which aims to provide disease treatments that are tailored to an individual’s unique genes and environment. TOPMed will contribute to this initiative through the integration of whole-genome sequencing (WGS) and other –omics (e.g., metabolic profiles, protein and RNA expression patterns) data with molecular, behavioral, imaging, environmental, and clinical data. In doing so, this program seeks to uncover factors that increase or decrease the risk of disease, identify subtypes of disease, and develop more targeted and personalized treatments.

Tags: Next generation sequencing Whole genome sequencing Omics Precision Medicine

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Project Assessments (29)


Assessment Metrics Date
Target Rubric   Machine-readable metadata that describes a digital resource is available. Attribution information is available Standardized metadata Update information is available The metadata includes a title for the data resource What is the nature and use limitations of the access protocol. Protocol to access restricted content A standardized ID or accession number is used to identify the dataset. Whether there is a scheme to uniquely identify the digital resource Information is provided on the experimental methods used to generate the data. The dataset is hosted in an established data repository, if a relevant repository exists. The dataset can be downloaded for free from the repository. Version information is provided for the dataset. Contact information is provided for the creator(s) of the dataset. Information is provided describing how to cite the dataset. Licensing information is provided on the dataset’s landing page. Use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The metadata includes a description of what the data is about
NHLBI TOPMed: Cleveland Clinic Atrial Fibrillation Study dbGap Study Rubric
yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) no (0.00) no (0.00) yes (1.00) yes (1.00) yes (1.00) no (0.00) yes (1.00) yes (1.00) no (0.00) yes (1.00) Oct 3, 2018
NHLBI TOPMed: Trans-Omics for Precision Medicine Whole Genome Sequencing Project: ARIC dbGap Study Rubric
yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) no (0.00) no (0.00) yes (1.00) yes (1.00) yes (1.00) no (0.00) yes (1.00) yes (1.00) no (0.00) yes (1.00) Oct 3, 2018
Framingham Cohort dbGap Study Rubric
                                    Oct 27, 2021
Genetic Epidemiology of COPD (COPDGene) dbGap Study Rubric
                                    Aug 1, 2023