Deanna G Brockman1,2, Christina A Austin-Tse3,4,5, Renée C Pelletier3,6, Caroline Harley3, Candace Patterson6, Holly Head3, Courtney Elizabeth Leonard3,6, Kimberly O'Brien4, Lisa M Mahanta4, Matthew S Lebo4, Christine Y Lu7, Pradeep Natarajan6,8,9, Amit V Khera3,6, Krishna G Aragam3,6, Sekar Kathiresan3,6, Heidi L Rehm3,8, Miriam S Udler3,6,8,10. 1. Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. Deanna.brockman@mgh.harvard.edu. 2. Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA. Deanna.brockman@mgh.harvard.edu. 3. Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. 4. Laboratory for Molecular Medicine, Partners Personalized Medicine, Cambridge, MA, USA. 5. Department of Pathology, Massachusetts General Hospital, Boston, MA, USA. 6. Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA. 7. Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA. 8. Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. 9. Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA. 10. Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
Abstract
PURPOSE: To evaluate the diagnostic yield and clinical relevance of clinical genome sequencing (cGS) as a first genetic test for patients with suspected monogenic disorders. METHODS: We conducted a prospective randomized study with pediatric and adult patients recruited from genetics clinics at Massachusetts General Hospital who were undergoing planned genetic testing. Participants were randomized into two groups: standard-of-care genetic testing (SOC) only or SOC and cGS. RESULTS: Two hundred four participants were enrolled, 202 were randomized to one of the intervention arms, and 99 received cGS. In total, cGS returned 16 molecular diagnoses that fully or partially explained the indication for testing in 16 individuals (16.2% of the cohort, 95% confidence interval [CI] 8.9-23.4%), which was not significantly different from SOC (18.2%, 95% CI 10.6-25.8%, P = 0.71). An additional eight molecular diagnoses reported by cGS had uncertain relevance to the participant's phenotype. Nevertheless, referring providers considered 20/24 total cGS molecular diagnoses (83%) to be explanatory for clinical features or worthy of additional workup. CONCLUSION: cGS is technically suitable as a first genetic test. In our cohort, diagnostic yield was not significantly different from SOC. Further studies addressing other variant types and implementation challenges are needed to support feasibility and utility of broad-scale cGS adoption.
PURPOSE: To evaluate the diagnostic yield and clinical relevance of clinical genome sequencing (cGS) as a first genetic test for patients with suspected monogenic disorders. METHODS: We conducted a prospective randomized study with pediatric and adult patients recruited from genetics clinics at Massachusetts General Hospital who were undergoing planned genetic testing. Participants were randomized into two groups: standard-of-care genetic testing (SOC) only or SOC and cGS. RESULTS: Two hundred four participants were enrolled, 202 were randomized to one of the intervention arms, and 99 received cGS. In total, cGS returned 16 molecular diagnoses that fully or partially explained the indication for testing in 16 individuals (16.2% of the cohort, 95% confidence interval [CI] 8.9-23.4%), which was not significantly different from SOC (18.2%, 95% CI 10.6-25.8%, P = 0.71). An additional eight molecular diagnoses reported by cGS had uncertain relevance to the participant's phenotype. Nevertheless, referring providers considered 20/24 total cGS molecular diagnoses (83%) to be explanatory for clinical features or worthy of additional workup. CONCLUSION: cGS is technically suitable as a first genetic test. In our cohort, diagnostic yield was not significantly different from SOC. Further studies addressing other variant types and implementation challenges are needed to support feasibility and utility of broad-scale cGS adoption.
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