Literature DB >> 31256874

Analyzing and Reanalyzing the Genome: Findings from the MedSeq Project.

Kalotina Machini1, Ozge Ceyhan-Birsoy2, Danielle R Azzariti3, Himanshu Sharma2, Peter Rossetti2, Lisa Mahanta2, Laura Hutchinson2, Heather McLaughlin2, Robert C Green4, Matthew Lebo5, Heidi L Rehm6.   

Abstract

Although genome sequencing is increasingly available in clinical and research settings, many questions remain about the interpretation of sequencing data. In the MedSeq Project, we explored how much effort is required to evaluate and report on more than 4,500 genes reportedly associated with monogenic conditions, as well as pharmacogenomic (PGx) markers, blood antigen serotyping, and polygenic risk scores in 100 individuals (50 with cardiomyopathy and 50 healthy) randomized to the sequencing arm. We defined the quality thresholds for determining the need for Sanger confirmation. Finally, we examined the effort needed and new findings revealed by reanalyzing each genome (6-23 months after initial analysis; mean 13 months). Monogenic disease risk and carrier status were reported in 21% and 94% of participants, respectively. Only two participants had no monogenic disease risk or carrier status identified. For the PGx results (18 genotypes in six genes for five drugs), the identified diplotypes prompted recommendation for non-standard dosing of at least one of the analyzed drugs in 95% of participants. For blood antigen studies, we found that 31% of participants had a rare blood antigen genotype. In the cardiomyopathy cohort, an explanation for disease was identified in 48% of individuals. Over the course of the study, 14 variants were reclassified and, upon reanalysis, 18 new variants met criteria for reporting. These findings highlight the quantity of medically relevant findings from a broad analysis of genomic sequencing data as well as the need for periodic reinterpretation and reanalysis of data for both diagnostic indications and secondary findings.
Copyright © 2019 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  MedSeq; clinical genomes; genome; genomic interpretation; reanalysis; secondary findings; sequencing

Year:  2019        PMID: 31256874      PMCID: PMC6612528          DOI: 10.1016/j.ajhg.2019.05.017

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  45 in total

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10.  The MedSeq Project: a randomized trial of integrating whole genome sequencing into clinical medicine.

Authors:  Jason L Vassy; Denise M Lautenbach; Heather M McLaughlin; Sek Won Kong; Kurt D Christensen; Joel Krier; Isaac S Kohane; Lindsay Z Feuerman; Jennifer Blumenthal-Barby; J Scott Roberts; Lisa Soleymani Lehmann; Carolyn Y Ho; Peter A Ubel; Calum A MacRae; Christine E Seidman; Michael F Murray; Amy L McGuire; Heidi L Rehm; Robert C Green
Journal:  Trials       Date:  2014-03-20       Impact factor: 2.279

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Journal:  Am J Hum Genet       Date:  2020-08-26       Impact factor: 11.025

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