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Genetic risk estimation in the Coriell Personalized Medicine Collaborative
Catharine B Stack1, Neda Gharani, Erynn S Gordon
1Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ 08103, USA. cstack@coriell.org
Personalized medicine reports communicate complex disease risks from genetic factors, family history, and lifestyle. This approach aids individuals in understanding their health predispositions for better management.
Area of Science:
- Genomics
- Personalized Medicine
- Public Health
Background:
- Genome-wide association studies (GWAS) have identified numerous single nucleotide polymorphisms (SNPs) linked to common complex diseases.
- There is a growing need to translate these genetic discoveries into actionable information for individuals.
Purpose of the Study:
- To evaluate the utility of personalized genomic information in healthcare.
- To develop a methodology for communicating complex disease risks to individuals.
Main Methods:
- The Coriell Personalized Medicine Collaborative (CPMC) observational study collects saliva samples for genotyping.
- Participants complete comprehensive online questionnaires on medical history, family history, and lifestyle.
- Actionable disease risks, as determined by an advisory board, are reported to participants.
Main Results:
- A methodology for generating personalized risk reports for genetic and nongenetic factors was developed.
- Risk estimates are presented as relative risk, ensuring consistent reporting across various factors.
- Disease prevalence estimates are also included in the reports.
Conclusions:
- The CPMC risk reports offer a web-based approach to communicating complex disease risks.
- These reports integrate risks from genetic variants, family history, and lifestyle factors.
- This facilitates a more comprehensive understanding of individual disease predispositions.
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