A Systematic Method for Detecting Abnormal mRNA Splicing and Assessing Its Clinical Impact in Individuals Undergoing Genetic Testing for Hereditary Cancer Syndromes
Nick Kamps-Hughes, Victoria Carlton, Laure Frésard, Steve Osazuwa, Elizabeth Starks, John J. Vincent, Sarah Albritton, Robert L. Nussbaum, Keith Nykamp
Abstract
Nearly 14% of disease-causing germline variants result from the disruption of mRNA splicing. Most (67%) DNA variants predicted in silico to disrupt splicing are classified as variants of uncertain significance. An analytic workflow—splice effect event resolver (SPEER)—was developed and validated to use mRNA sequencing to reveal significant deviations in splicing, pinpoint the DNA variants potentially involved, and measure the deleterious effects of the altered splicing on mRNA transcripts, providing evidence for assessing the pathogenicity of the variant. SPEER was used to analyze leukocyte RNA encoding 63 hereditary cancer syndrome–related genes in 20,317 patients. Among 3563 patients (17.5%) with at least one DNA variant predicted to affect splicing, 971 (4.8%) had altered splicing with a deleterious effect on the transcript, and 40 had altered splicing due to a DNA variant located outside of the reportable range of the test. Integrating SPEER results into the interpretation of variants allowed variants of uncertain significance to be reclassified as pathogenic or likely pathogenic in 0.4%, and as benign or likely benign in 5.9%, of the 20,317 patients. SPEER-based evidence was associated with a significantly greater effect on classifications of pathogenic or likely pathogenic and benign or likely benign in nonwhite versus non-Hispanic white patients, illustrating that evidence derived from mRNA splicing analysis may help to reduce ethnic/ancestral disparities in genetic testing. Nearly 14% of disease-causing germline variants result from the disruption of mRNA splicing. Most (67%) DNA variants predicted in silico to disrupt splicing are classified as variants of uncertain significance. An analytic workflow—splice effect event resolver (SPEER)—was developed and validated to use mRNA sequencing to reveal significant deviations in splicing, pinpoint the DNA variants potentially involved, and measure the deleterious effects of the altered splicing on mRNA transcripts, providing evidence for assessing the pathogenicity of the variant. SPEER was used to analyze leukocyte RNA encoding 63 hereditary cancer syndrome–related genes in 20,317 patients. Among 3563 patients (17.5%) with at least one DNA variant predicted to affect splicing, 971 (4.8%) had altered splicing with a deleterious effect on the transcript, and 40 had altered splicing due to a DNA variant located outside of the reportable range of the test. Integrating SPEER results into the interpretation of variants allowed variants of uncertain significance to be reclassified as pathogenic or likely pathogenic in 0.4%, and as benign or likely benign in 5.9%, of the 20,317 patients. SPEER-based evidence was associated with a significantly greater effect on classifications of pathogenic or likely pathogenic and benign or likely benign in nonwhite versus non-Hispanic white patients, illustrating that evidence derived from mRNA splicing analysis may help to reduce ethnic/ancestral disparities in genetic testing. The disruption of normal mRNA splicing is a common cause of genetic disease. Approximately 14% of germline pathogenic or likely pathogenic (P/LP) variants cause disease through mis-splicing,1Truty R. Ouyang K. Rojahn S. Garcia S. Colavin A. Hamlington B. Freivogel M. Nussbaum R.L. Nykamp K. Aradhya S. Spectrum of splicing variants in disease genes and the ability of RNA analysis to reduce uncertainty in clinical interpretation.Am J Hum Genet. 2021; 108: 696-708Abstract Full Text Full Text PDF PubMed Scopus (27) Google Scholar with the vast majority (>90%) of these P/LP splicing variants disrupting the canonical donor and acceptor splice sites (first 1 to 2 bp flanking an exon). In contrast, many DNA variants other than in the canonical donor and acceptor dinucleotide splice sites are predicted by commonly used algorithms to affect splicing, but most (69%) of these potential splicing variants (PSpVs) are classified as variants of uncertain significance (VUSs),1Truty R. Ouyang K. Rojahn S. Garcia S. Colavin A. Hamlington B. Freivogel M. Nussbaum R.L. Nykamp K. Aradhya S. Spectrum of splicing variants in disease genes and the ability of RNA analysis to reduce uncertainty in clinical interpretation.Am J Hum Genet. 2021; 108: 696-708Abstract Full Text Full Text PDF PubMed Scopus (27) Google Scholar demonstrating the challenge of classifying non–canonical donor and acceptor splice site PSpVs in the absence of confirmatory RNA testing. Knowing which of these PSpVs have a clinically significant effect on splicing could inform the interpretation of variants, resulting in fewer VUSs and increased actionability in genetic testing.2Smirnov D. Schlieben L.D. Peymani F. Berutti R. Prokisch H. Guidelines for clinical interpretation of variant pathogenicity using RNA phenotypes.Hum Mutat. 2022; 43: 1056-1070Crossref PubMed Scopus (4) Google Scholar Here, a novel method is described: the splice effect event resolver (SPEER), which uses RNA sequencing to determine whether variants found during DNA sequencing cause aberrant mRNA splicing and have a deleterious impact on the structure and function of transcripts. SPEER accomplishes this task in three steps: i) determining whether splicing is abnormal compared to that in controls, ii) quantifying the reduction in normal splicing at a crucial splice junction, and iii) examining the consequences of abnormal-splicing events on mRNA structure and function. SPEER begins with short-read sequencing of cDNA and several overlapping RNA-based analytical methods,3Li Y.I. Knowles D.A. Humphrey J. Barbeira A.N. Dickinson S.P. Im H.K. Pritchard J.K. Annotation-free quantification of RNA splicing using LeafCutter.Nat Genet. 2018; 50: 151-158Crossref PubMed Scopus (283) Google Scholar, 4Frésard L. Smail C. Ferraro N.M. Teran N.A. Li X. Smith K.S. Bonner D. Kernohan K.D. Marwaha S. Zappala Z. Balliu B. Davis J.R. Liu B. Prybol C.J. Kohler J.N. Zastrow D.B. Reuter C.M. Fisk D.G. Grove M.E. Davidson J.M. Hartley T. Joshi R. Strober B.J. Utiramerur S. Lind L. Ingelsson E. Battle A. Bejerano G. Bernstein J.A. Ashley E.A. Boycott K.M. Merker J.D. Wheeler M.T. Montgomery S.B. Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts.Nat Med. 2019; 25: 911-919Crossref PubMed Scopus (157) Google Scholar, 5Mertes C. Scheller I.F. Yépez V.A. Çelik M.H. Liang Y. Kremer L.S. Gusic M. Prokisch H. Gagneur J. Detection of aberrant splicing events in RNA-seq data using FRASER.Nat Commun. 2021; 12: 529Crossref PubMed Scopus (49) Google Scholar, 6Jenkinson G. Li Y.I. Basu S. Cousin M.A. Oliver G.R. Klee E.W. LeafCutterMD: an algorithm for outlier splicing detection in rare diseases.Bioinformatics. 2020; 36: 4609-4615Crossref PubMed Scopus (22) Google Scholar, 7Vaquero-Garcia J. Barrera A. Gazzara M.R. González-Vallinas J. Lahens N.F. Hogenesch J.B. Lynch K.W. Barash Y. A new view of transcriptome complexity and regulation through the lens of local splicing variations.Elife. 2016; 5: e11752Crossref PubMed Scopus (221) Google Scholar to analyze exon–exon junctions and to determine whether the alterations observed in the mRNA-splicing pattern of a gene containing a PSpV are statistically significant relative to those in a panel of controls. In this way, SPEER distinguishes variant-specific alterations in splicing from the naturally occurring alternative splicing that generates protein diversity and function specificity across tissue types.8Sibley C.R. Blazquez L. Ule J. Lessons from non-canonical splicing.Nat Rev Genet. 2016; 17: 407-421Crossref PubMed Scopus (160) Google Scholar, 9Baralle F.E. Giudice J. Alternative splicing as a regulator of development and tissue identity.Nat Rev Mol Cell PubMed Scopus Google Scholar, J. B.J. Alternative splicing and 2019; Full Text Full Text PDF PubMed Scopus Google Scholar a for quantifying the to which normal splicing is in a compared to controls. SPEER overlapping into one or of abnormal-splicing which be for and potential mRNA the of the deleterious impact of a DNA variant on structure and the evidence by SPEER be used for the interpretation of variants a as K. M. M. Garcia J. B. Y. J. M. S. a of the variant Med. Full Text Full Text PDF PubMed Scopus Google Scholar that many other of evidence to the pathogenicity of a variant. on the of the of SPEER to events and in a of patients for hereditary cancer syndrome–related genes to which PSpVs during DNA sequencing significantly altered splicing and had a deleterious effect on structure and function. SPEER abnormal-splicing in a of patients with DNA variants located outside of the reportable range of a sequencing DNA test. SPEER-based evidence was used in for the interpretation of variants, a significant of PSpVs as P/LP or as benign or likely benign most SPEER allowed for an greater of of PSpVs patients as nonwhite compared to those as non-Hispanic In 1 of this a of data to be used for SPEER was had genetic for hereditary cancer at and had a germline DNA variant that was or predicted to splicing and have a but had a or of a hereditary cancer as in was a by the a from and blood to be used in genetic and was to of aberrant splicing splicing in nonwhite versus white by to into potential in splicing of germline of as in in The M. T. X. K. J.A. alternative RNA splicing and events from and white patients in The 2021; PubMed Scopus Google Scholar In a of 20,317 patients to for hereditary gene DNA and RNA sequencing and SPEER was used to analyze the leukocyte RNA of 63 hereditary genes in these patients. The use of and data was by an A of hereditary genes for RNA analysis of these from the i) in leukocyte are at a to a statistically significant of a splicing ii) are genes in which a of effect of abnormal a of an increased for or iii) have a variant associated with an increased for of gene was as R. Ouyang K. Rojahn S. Garcia S. Colavin A. Hamlington B. Freivogel M. Nussbaum R.L. Nykamp K. Aradhya S. Spectrum of splicing variants in disease genes and the ability of RNA analysis to reduce uncertainty in clinical interpretation.Am J Hum Genet. 2021; 108: 696-708Abstract Full Text Full Text PDF PubMed Scopus (27) Google R. J. M. E. Nussbaum R.L. Aradhya S. and of in disease Med. 2019; Full Text Full Text PDF PubMed Scopus Google M.A. L. Y. M. J.M. of a sequencing panel for hereditary cancer PubMed Scopus Google Scholar using DNA to bp of flanking and of clinical as the reportable to a of and a of at the reportable Full gene and the interpretation of variants at as K. M. M. Garcia J. B. Y. J. M. S. a of the variant Med. Full Text Full Text PDF PubMed Scopus Google M.A. L. Y. M. J.M. of a sequencing panel for hereditary cancer PubMed Scopus Google Scholar PSpVs predicted using G. of with to RNA splicing PubMed Scopus Google Scholar RNA splice junctions of of and in gene PubMed Scopus Google Scholar and the in the PSpVs predicted using K. S. Knowles D. Li Y.I. J.A. J. E. H. A. S. splicing from with 2019; Full Text Full Text PDF PubMed Scopus Google Scholar RNA was from blood in RNA and containing that RNA using and by DNA was by cDNA using the RNA F. and of with DNA by and during and for 2 bp from sequencing and on the with A. Davis F. J. C. S. M. RNA-seq PubMed Scopus Google Scholar using a using T. A. sequencing in to quantification PubMed Scopus Google from the using the and in Y.I. Knowles D.A. Humphrey J. Barbeira A.N. Dickinson S.P. Im H.K. Pritchard J.K. 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