Variant interpretation is a component of clinical practice among genetic counselors in multiple specialties.

Genomic testing is routinely utilized across clinical settings and can have significant variant interpretation challenges. The extent of genetic counselor (GC) engagement in variant interpretation in clinical practice is unknown. This study aimed to explore clinical GCs' variant interpretation practice across specialties, understand outcomes of this practice, and identify resource and educational needs. An online survey was administered to National Society of Genetic Counselors members providing clinical counseling. Respondents (n = 239) represented all major clinical specialties. The majority (68%) reported reviewing evidence documented by the laboratory for most (>60%) variants reported; 45.5% report seeking additional evidence. Prenatal GCs were less likely to independently assess reported evidence. Most respondents (67%) report having reached a different conclusion about a variant's classification than the testing laboratory, though infrequently. Time was the most commonly reported barrier (72%) to performing variant interpretation, though the majority (97%) indicated that this practice had an important impact on patient care. When presented with three hypothetical scenarios, evidence typically used for variant interpretation was generally applied correctly. This study is the first to document variant interpretation practice broadly across clinical GC specialties. Our results suggest that variant interpretation should be considered a practice-based competency for GCs.

Citation

Karen E Wain, Danielle R Azzariti, Jennifer L Goldstein, Amy Knight Johnson, Patti Krautscheid, Brianna Lepore, Julianne M O'Daniel, Deborah Ritter, Juliann M Savatt, Erin Rooney Riggs, Christa Lese Martin. Variant interpretation is a component of clinical practice among genetic counselors in multiple specialties. Genetics in medicine : official journal of the American College of Medical Genetics. 2020 Apr;22(4):785-792

Mesh Tags

PMID: 31754268

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