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Updated: May 17, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
The challenge of implementing genetic tests with clinical utility while avoiding unsound applications
Martina C Cornel1, Carla G van El, Pascal Borry
1Section Community Genetics, Department of Clinical Genetics and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands, mc.cornel@vumc.nl.
Direct-to-consumer genetic testing is rapidly expanding, often outpacing clinical validation and utility assessments. This raises concerns about premature implementation, especially for complex diseases, necessitating a focus on proven applications.
Area of Science:
- Genetics and Genomics
- Translational Medicine
- Public Health
Background:
- Rapid advancements in genetics and genomics have not yet fully revolutionized medical practice.
- Translation of genetic research into public health applications is lagging.
- Direct-to-consumer (DTC) genetic testing is increasingly available for various conditions.
Purpose of the Study:
- To address concerns regarding the commercial introduction of genetic tests outside traditional healthcare.
- To highlight the paradox between slow clinical utility implementation and rapid DTC test availability.
- To discuss the need for assessing clinical validity and utility for genetic test translation.
Main Methods:
- Review of current trends in genetic testing market entry.
- Analysis of the gap between research findings and clinical application.
- Examination of established genetic associations in areas like oncogenetics and cardiogenetics.
Main Results:
- Many DTC genetic tests are introduced without sufficient evidence of clinical validity or utility.
- Implementation of genetic tests with proven clinical utility in healthcare remains slow.
- Introduction of genetic tests for complex disorders is often premature due to lack of data.
Conclusions:
- Prioritizing genetic testing in settings with proven or likely clinical utility is essential.
- Further information on diagnosis, prognosis, and disease management is needed for broader application.
- Robust monitoring and evaluation frameworks are critical for responsible integration of genetic testing.
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