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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
Explaining, not just predicting, drives interest in personal genomics
Susanne F Meisel1, Deanna Alexis Carere2, Jane Wardle1
1Cancer Research UK Health Behaviour Research Centre, Department of Epidemiology and Public Health, University College London, London, UK.
Customers are highly interested in personal genomic testing (PGT) results for existing conditions, not just future risks. This indicates PGT offers explanatory value beyond prediction for genetic health insights.
Area of Science:
- Genomics
- Medical Genetics
- Consumer Health
Background:
- Customer interest in personal genomic testing (PGT) is often assumed to be driven solely by risk prediction.
- An alternative motivation for PGT is understanding the genetic basis of existing diseases.
Purpose of the Study:
- To evaluate how a pre-existing medical diagnosis influences customer interest in condition-specific results from PGT.
- To explore the explanatory value of PGT for individuals with diagnosed health conditions.
Main Methods:
- A prospective online survey was administered to PGT customers before they received their results.
- Customer interest in PGT for 11 specific health conditions was measured.
- Logistic regression analysis examined the association between personal medical history and interest in condition-specific PGT.
Main Results:
- Data from 1,538 PGT customers (mean age 48.7, 61% female, 90% White) were analyzed.
- Interest in condition-specific PGT varied widely, from 28% for ulcerative colitis to 68% for heart disease.
- Having a diagnosis significantly increased interest in genetic testing for that condition (ORs 2.07-19.99), even after adjusting for demographics and family history.
Conclusions:
- PGT customers show a strong interest in genetic markers related to their current medical diagnoses.
- The findings suggest PGT provides significant explanatory value for existing conditions, complementing its predictive capabilities.
- Understanding the genetic etiology of diseases is a key driver for PGT engagement.
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