Data Resources and Approaches for Precision Medicine Research: New Developments and Applications
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".
Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 10758
Special Issue Editor
Interests: human genetics; genomics; electronic health records; precision medicine; diversity
Special Issue Information
Dear Colleagues,
Technological developments in omics and informatics over the past ten years have enabled the generation of different data types from biospecimens linked to health, lifestyle, and exposure data extracted from multiple resources ranging from the traditional epidemiologic to the emerging hybrid cohort models offering access to electronic health records (EHRs). In parallel, methodological developments both in data harmonization and statistical approaches encourage synthesis of data and powerful meta-analyses across studies and populations to generate new opportunities for risk stratification in precision medicine research.
The aim of this Special Issue is to showcase the development of data resources and statistical methods and their use in precision medicine research. We are inviting the submission of original articles and reviews for this Special Issue. Example manuscript topics include (but are not limited to) reviews and critical comparisons of resources with biospecimens linked to health data, reviews and critical assessments and original research of methods developed for multiple data types, original research in methods development or applications of polygenic risk scores, original research in computable or electronic phenotyping using EHRs, and original research in methods development or application to datasets with multiple genetic ancestries.
Dr. Dana C. Crawford
Guest Editor
Manuscript Submission Information
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Keywords
- Polygenic risk scores
- Electronic health records
- Biobanks
- Computable phenotyping
- Genetic ancestry
- Precision medicine
- Whole genome sequencing
- Whole exome sequencing
- Genome-wide association studies
- Phenome-wide association studies
- Gene expression
- Omics
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