henhaobio
Sign in

Frontiers in Molecular BiosciencesGenetic & Genomic MedicinePeer-reviewed journal article

Design and validation of a clinical whole genome sequencing-based assay for patient screening in a large healthcare system

Josiah T. WagneriD, John T. Welle, Isabelle Lucas BeckettiD, Kate R. Emery, Benjamin A. Cosgrove, Krzysztof Olszewski, Nick Wagner, Tucker C. BoweriD, Li Chi Yuan, Eric M. Shull, Kathleen JadeiD, Jon Clemens, Andrew T. MagisiD, Mary B. Campbell, Ora Karp Gordon, Carlo Bruno BifulcoiD, Brian PieningiD

PDFDOIPreprint

Abstract

Population genetic screening is rapidly emerging as a key methodology in the clinical laboratory for detecting actionable genomic conditions. While current clinical methods are largely focused on targeted gene panels, the increasing efficiency of next-generation sequencing (NGS) platforms permits the use of whole genome sequencing (WGS) for routine clinical applications. The key advantage of WGS is that the complete genome produced by a single sequencing event can form the basis for a patients genomic health care record for reanalysis throughout a patients lifetime. Here, we developed a scalable clinical WGS-based lab developed procedure (LDP) for heritable disease gene testing and pharmacogenomics (PGx). We performed extensive validation across a range of blood, saliva, and reference specimens. The clinical deliverable for the WGS LDP was 78 genes associated with actionable genomic conditions and 4 PGx genes. The validation cohort consisted of samples from 188 study participants that were orthogonally sequenced at commercial reference laboratories and additional reference materials. The deployed LDP was then used to sequence over 2000 patients as part of a broader clinical implementation study ("Geno4ME"). We demonstrate that the WGS LDP has excellent sensitivity, specificity, and accuracy, thus supporting WGS as a viable method for broad clinical screening.

Citations
1
FWCI
0.59
Field percentile
top 32%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLee '24Tirrell '23Ferguson '23Kim '24Roepman '21Brockman '21
64% semantic matchGenetic & Genomic Medicine
Sangmoon Lee, Jin Roh, Jun Sung Park+20 more·Cancer Research and Treatment·Sep 19, 2024· 4 citations