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Published on: January 16, 2019
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Determining priority indicators of utility for genomic testing in rare disease: A Delphi study
Zoe Fehlberg1, Ilias Goranitis1, Andrew J Mallett2
1Australian Genomics, Melbourne, VIC, Australia; University of Melbourne, Melbourne, VIC, Australia.
Summary
Genomic testing value in rare diseases needs more than just diagnosis. Experts identified key indicators like prognostic information and timely results to better assess genomic utility.
Area of Science:
- Genomics
- Rare Diseases
- Health Technology Assessment
Background:
- Assessing the value of genomic testing in rare diseases is complex.
- Current evaluations often focus narrowly on diagnostic yield, neglecting broader utility aspects.
- Lack of consensus hinders standardized value assessment.
Purpose of the Study:
- To identify and prioritize key indicators of utility for genomic testing in rare diseases using expert consensus.
- To move beyond diagnostic yield and establish a comprehensive framework for genomic utility.
- To refine priority indicators for assessing the value of genomic testing in rare disease contexts.
Main Methods:
- Utilized a two-round Delphi methodology involving Australian experts from policy, clinical, research, and consumer advocacy.
- Collected and analyzed both quantitative and qualitative data to achieve consensus on utility indicators.
- Involved 25 experts in round 1 and 18 experts completing both rounds.
Main Results:
- Twenty priority indicators for value assessment reached consensus among experts.
- Key indicators included prognostic information, timeliness of results, health care outcomes, and clinical accreditation.
- Indicators related to discovery research and secondary factors were deemed lower priority.
Conclusions:
- Expert consensus was achieved on priority utility indicators for genomic testing in rare diseases in Australia.
- These indicators can inform standardized evidence generation and assessment for future research and implementation.
- A broader conceptualization of genomic utility is crucial for rare disease genomic testing value assessment.

