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Development of a clinical polygenic risk score assay and reporting workflow.
Hao, Limin; Kraft, Peter; Berriz, Gabriel F; Hynes, Elizabeth D; Koch, Christopher; Korategere V Kumar, Prathik; Parpattedar, Shruti S; Steeves, Marcie; Yu, Wanfeng; Antwi, Ashley A; Brunette, Charles A; Danowski, Morgan; Gala, Manish K; Green, Robert C; Jones, Natalie E; Lewis, Anna C F; Lubitz, Steven A; Natarajan, Pradeep; Vassy, Jason L; Lebo, Matthew S.
Affiliation
  • Hao L; Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA, USA.
  • Kraft P; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Berriz GF; Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA, USA.
  • Hynes ED; Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA, USA.
  • Koch C; Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA, USA.
  • Korategere V Kumar P; Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA, USA.
  • Parpattedar SS; Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA, USA.
  • Steeves M; Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA, USA.
  • Yu W; Medical Genetics, Massachusetts General Hospital, Boston, MA, USA.
  • Antwi AA; Laboratory for Molecular Medicine, Mass General Brigham Personalized Medicine, Cambridge, MA, USA.
  • Brunette CA; Veterans Affairs Boston Healthcare System, Boston, MA, USA.
  • Danowski M; Veterans Affairs Boston Healthcare System, Boston, MA, USA.
  • Gala MK; Veterans Affairs Boston Healthcare System, Boston, MA, USA.
  • Green RC; Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA.
  • Jones NE; Harvard Medical School, Boston, MA, USA.
  • Lewis ACF; Harvard Medical School, Boston, MA, USA.
  • Lubitz SA; Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Natarajan P; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Vassy JL; Precision Population Health, Ariadne Labs, Boston, MA, USA.
  • Lebo MS; Veterans Affairs Boston Healthcare System, Boston, MA, USA.
Nat Med ; 28(5): 1006-1013, 2022 05.
Article in En | MEDLINE | ID: mdl-35437332
Implementation of polygenic risk scores (PRS) may improve disease prevention and management but poses several challenges: the construction of clinically valid assays, interpretation for individual patients, and the development of clinical workflows and resources to support their use in patient care. For the ongoing Veterans Affairs Genomic Medicine at Veterans Affairs (GenoVA) Study we developed a clinical genotype array-based assay for six published PRS. We used data from 36,423 Mass General Brigham Biobank participants and adjustment for population structure to replicate known PRS-disease associations and published PRS thresholds for a disease odds ratio (OR) of 2 (ranging from 1.75 (95% CI: 1.57-1.95) for type 2 diabetes to 2.38 (95% CI: 2.07-2.73) for breast cancer). After confirming the high performance and robustness of the pipeline for use as a clinical assay for individual patients, we analyzed the first 227 prospective samples from the GenoVA Study and found that the frequency of PRS corresponding to published OR > 2 ranged from 13/227 (5.7%) for colorectal cancer to 23/150 (15.3%) for prostate cancer. In addition to the PRS laboratory report, we developed physician- and patient-oriented informational materials to support decision-making about PRS results. Our work illustrates the generalizable development of a clinical PRS assay for multiple conditions and the technical, reporting and clinical workflow challenges for implementing PRS information in the clinic.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / Genome-Wide Association Study Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Male Language: En Journal: Nat Med Journal subject: BIOLOGIA MOLECULAR / MEDICINA Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / Genome-Wide Association Study Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Male Language: En Journal: Nat Med Journal subject: BIOLOGIA MOLECULAR / MEDICINA Year: 2022 Type: Article Affiliation country: United States