henhaobio
Sign in

Genetics in MedicineGeneticsPeer-reviewed journal article

Reassessment of Mendelian gene pathogenicity using 7,855 cardiomyopathy cases and 60,706 reference samples

Roddy WalshiD, Kate Thomson, James S Ware, Birgit H Funke, Jessica Woodley, Karen J McGuire, Francesco MazzarottoiD, Edward Blair, Anneke Seller, Jenny C Taylor, Eric V Minikel, Exome Aggregation Consortium, Daniel G MacArthur, Martin FarralliD, Stuart A Cook, Hugh C WatkinsiD

PDFDOIPreprint

Abstract

The accurate interpretation of variation in Mendelian disease genes has lagged behind data generation as sequencing has become increasingly accessible. Ongoing large sequencing efforts present huge interpretive challenges, but also provide an invaluable opportunity to characterize the spectrum and importance of rare variation. Here we analyze sequence data from 7,855 clinical cardiomyopathy cases and 60,706 ExAC reference samples to better understand genetic variation in a representative autosomal dominant disorder. We show that in some genes previously reported as important causes of a given cardiomyopathy, rare variation is not clinically informative and there is a high likelihood of false positive interpretation. By contrast, in other genes, we find that diagnostic laboratories may be overly conservative when assessing variant pathogenicity. We outline improved interpretation approaches for specific genes and variant classes and propose that these will increase the clinical utility of testing across a range of Mendelian diseases.\n\nOne Sentence SummaryComparing the frequency of very rare variation between patient cohorts and very large genomic reference datasets enables the reliable re-evaluation of genes previously implicated in Mendelian disease and more accurate assessment of the likely pathogenicity of different classes of variants.

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
THISWalsh '19Whiffin '17Zhang '20McGurk '23Evans '19Halford '22
74% semantic matchGenetics
Roddy Walsh, Francesco Mazzarotto, Nicola Whiffin+25 more·Genome Medicine·Jan 29, 2019· 120 citations