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These studies suggest that analyzing and interpreting genetic data for personalized medicine involves genomic sequencing, pharmacogenomics, predictive frameworks, using genetically close relatives, private genome interpretation systems, and harmonizing DNA sequence variation interpretation.
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Personalized medicine leverages genetic data to tailor medical treatment to individual patients. This approach aims to improve the prediction, prevention, and treatment of diseases by considering the unique genetic makeup of each person. The interpretation of genetic data is crucial for the successful implementation of personalized medicine.
Decreasing Costs and Increasing Accessibility of Genomic Sequencing:
Importance of Genetic Variants in Disease and Drug Response:
Integration of Personal Genome with Medical Records:
Use of Relatives' Information for Improved Prediction:
Need for Comprehensive Interpretation Tools:
Harmonization of Variant Interpretation:
The successful implementation of personalized medicine relies on the decreasing costs of genomic sequencing, the identification of clinically relevant genetic variants, and the integration of genetic data with personal medical records. Improved prediction accuracy can be achieved by including information from genetically close relatives. Comprehensive and accessible interpretation tools, along with harmonized variant interpretations, are essential for realizing the full potential of personalized medicine.
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