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Clinical validation, implementation, and reporting of polygenic risk scores for common diseases

Authors :
Marcie A. Steeves
Prathik K. Vijay Kumar
Shruti Parpattedar
Ashley Antwi
Robert C. Green
Charles A. Brunette
Limin Hao
Manish Gala
Matthew S. Lebo
Elizabeth Hynes
Peter Kraft
Steven Lubitz
Christopher Koch
Morgan Danowski
Wanfeng Yu
Jason L. Vassy
Gabriel Berriz
Pradeep Natajaran
Anna C. F. Lewis
Natalie Jones
Publication Year :
2021
Publisher :
Research Square Platform LLC, 2021.

Abstract

Implementation of polygenic risk scores (PRS) may improve disease prevention and management but requires the construction and validation of clinical assays, interpretation, and reporting pipelines. We developed a clinical genotype array-based assay for published PRS for 6 common diseases. First, we calculated PRS for 36,423 Mass General Brigham Biobank (MGBB) participants. Finding significant variation in the PRS distributions by race, we implemented adjustment for population structure with ancestry-informative principal components. We replicated published thresholds for odds ratio (OR)>2 in MGBB overall [ranging from 1.75 (1.57, 1.95) for Type 2 diabetes to 2.38 (2.07, 2.73) for breast cancer]. After confirming the high performance and robustness of the pipeline for use as a clinical assay, we analyzed the first 141 prospective samples from the Genomic Medicine at VA Study; frequency of PRS corresponding to published OR>2 ranged from 5/141 (3.6%) for colorectal cancer to 8/48 (16.7%) for breast cancer. Our development of a clinical PRS assay for multiple conditions illustrates the generalizability of this process and necessary technical and reporting decisions for meaningful clinical PRS implementation.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........469bda8330fcaf27af08fedb55ca4477
Full Text :
https://doi.org/10.21203/rs.3.rs-743779/v1