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Updated: May 30, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Experience using conventional compared to ancestry-based population descriptors in clinical genomics laboratories
Kathryn E Hatchell1, Sarah R Poll1, Emily M Russell1
1Labcorp Genetics, Inc. (formerly Invitae Corp.), San Francisco, CA, USA.
Population descriptors like race and ethnicity are social constructs, not genetic. This perspective highlights their use in clinical genetic testing and research, addressing challenges for improved genomic medicine.
Area of Science:
- Genomic Medicine
- Clinical Genetics
- Bioethics
Background:
- Scientific bodies affirm race and ethnicity are social constructs, lacking genetic basis.
- Despite this, conventional descriptors are used in clinical genetic testing and interpretation.
- Existing guidance focuses on research, not clinical laboratory use of these descriptors.
Purpose of the Study:
- To provide insights into the relevance of population descriptors in clinical genetic testing and reporting.
- To discuss challenges in collecting and using these descriptors consistently in clinical settings.
- To explore their application in clinical research for advancing genomic medicine.
Main Methods:
- A decade of experience from a clinical genomics laboratory.
- Analysis of real-world experiences in collecting conventional population descriptors.
- Discussion of case examples illustrating current practices and challenges.
Main Results:
- Identified challenges in clarity and consistency when collecting population descriptors.
- Examined how population descriptors influence current clinical genomics laboratory practices.
- Demonstrated the utility of population descriptors in clinical research for genomic medicine insights.
Conclusions:
- Population descriptors, though social constructs, play a role in clinical genetics.
- Addressing inconsistencies in their use is crucial for accurate genetic testing and reporting.
- Leveraging these descriptors in research can drive advancements in genomic medicine.
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