Bridging clinical care and research in Ontario, Canada: Maximizing diagnoses from reanalysis of clinical exome sequencing data.
Taila HartleyÉlisabeth SoubryMeryl AckerMatthew OsmondMadeline CouseMeredith K GillespieYoko ItoAren E MarshallGabrielle LemireLijia HuangCaitlin ChisholmAlison J EatonE Magda PriceJames E DowlingArun K RamaniRoberto Mendoza-LondonoGregory CostainMichelle M AxfordAnna SzutoVanda McNivenNadirah DamsehRebekah JoblingLeanne de KockBahareh A MojaradTed YoungZhuo ShaoRobin Z HayeemsIan D GrahamMark A TarnopolskyLauren BradyChristine M ArmourMichael GeraghtyJulie RicherSarah SawyerMatthew LinesSaadet Mercimek-MahmutogluMelissa T CarterGail GrahamPeter KannuJoanna LazierChumei LiRitu B AulTugce B BalciNomazulu DlaminiLauren BadalatoAndrea GuerinJagdeep WaliaDavid ChitayatRonald CohnHanna FaghfouryCynthia Forster-GibsonHernan GonorazkyEyal GrunebaumMichal Inbar-FeigenbergNatalya KarpChantal MorelAlison RusnakNeal SondheimerJodi Warman-ChardonPriya T BholaDanielle K BourqueInara Chacon FonsecaLauren ChadPranesh ChakrabortyKaren ChongAsif DojaElaine Suk-Ying GohMaha Salehnull nullBeth K PotterChristian R MarshallDavid A DymentKristin KernohanKym M BoycottPublished in: Clinical genetics (2022)
We examined the utility of clinical and research processes in the reanalysis of publicly-funded clinical exome sequencing data in Ontario, Canada. In partnership with eight sites, we recruited 287 families with suspected rare genetic diseases tested between 2014 and 2020. Data from seven laboratories was reanalyzed with the referring clinicians. Reanalysis of clinically relevant genes identified diagnoses in 4% (13/287); four were missed by clinical testing. Translational research methods, including analysis of novel candidate genes, identified candidates in 21% (61/287). Of these, 24 families have additional evidence through data sharing to support likely diagnoses (8% of cohort). This study indicates few diagnoses are missed by clinical laboratories, the incremental gain from reanalysis of clinically-relevant genes is modest, and the highest yield comes from validation of novel disease-gene associations. Future implementation of translational research methods, including continued reporting of compelling genes of uncertain significance by clinical laboratories, should be considered to maximize diagnoses.