2019
DOI: 10.1002/humu.23821
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First estimate of the scale of canonical 5′ splice site GT>GC variants capable of generating wild‐type transcripts

Abstract: It has long been known that canonical 5′ splice site (5′SS) GT>GC variants may be compatible with normal splicing. However, to date, the actual scale of canonical 5′SSs capable of generating wild‐type transcripts in the case of GT>GC substitutions remains unknown. Herein, combining data derived from a meta‐analysis of 45 human disease‐causing 5′SS GT>GC variants and a cell culture‐based full‐length gene splicing assay of 103 5′SS GT>GC substitutions, we estimate that ~15–18% of canonical GT 5′SSs retain their … Show more

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Cited by 32 publications
(80 citation statements)
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References 102 publications
(126 reference statements)
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“…In both cases (i.e., HESX1 c.357+2T>C and SPINK1 c.194+2T>C), the FLGSA‐derived data were in perfect agreement with the in vivo data. Fourth, in terms of the rate of GT>GC variants generating wild‐type transcripts, the FLGSA‐derived data agreed well with data obtained not only from disease‐causing variants but also from BRCA1 variants analyzed in their natural genomic sequence contexts (Chen et al, 2020; Findlay et al, 2018; Lin et al, 2019). Fifth, the FLGSA‐derived data correlated well with predictions made by SpliceAI, a recently developed artificial intelligence‐based splicing prediction tool (Chen et al, 2020; Jaganathan et al, 2019).…”
Section: Gene Symbol Chr Hg38 Position Reference Allele Variant Allesupporting
confidence: 76%
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“…In both cases (i.e., HESX1 c.357+2T>C and SPINK1 c.194+2T>C), the FLGSA‐derived data were in perfect agreement with the in vivo data. Fourth, in terms of the rate of GT>GC variants generating wild‐type transcripts, the FLGSA‐derived data agreed well with data obtained not only from disease‐causing variants but also from BRCA1 variants analyzed in their natural genomic sequence contexts (Chen et al, 2020; Findlay et al, 2018; Lin et al, 2019). Fifth, the FLGSA‐derived data correlated well with predictions made by SpliceAI, a recently developed artificial intelligence‐based splicing prediction tool (Chen et al, 2020; Jaganathan et al, 2019).…”
Section: Gene Symbol Chr Hg38 Position Reference Allele Variant Allesupporting
confidence: 76%
“…However, we have recently provided evidence that such variants in human disease genes may not invariably be pathogenic. Specifically, combining data derived from a meta‐analysis of human disease‐causing +2T>C variants and a cell culture‐based Full‐Length Gene Splicing Assay (FLGSA) of engineered +2T>C substitutions, we estimated that ~15–18% of +2T>C variants generate up to 84% wild‐type transcripts (Lin et al, 2019). In another recent study, the functional effects of over 4,000 BRCA1 variants were analyzed by means of saturation genome editing (Findlay et al, 2018).…”
Section: Gene Symbol Chr Hg38 Position Reference Allele Variant Allementioning
confidence: 99%
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