2022
DOI: 10.1101/2022.07.12.499800
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Improved detection of genetic effects on promoter usage with augmented transcript annotations

Abstract: Disease-associated non-coding variants can modulate their target genes by disrupting multiple mechanisms, including regulating total gene expression level, splicing, alternative polyadenylation or promoter usage. Quantifying promoter usage from standard RNA sequencing data is challenging due to incomplete reference transcriptome annotations and low read coverage observed at the ends of transcripts. We previously developed the txrevise tool (https://github.com/kauralasoo/txrevise) to quantify promoter usage eve… Show more

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Cited by 3 publications
(4 citation statements)
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References 29 publications
(35 reference statements)
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“…In addition to these four, we have now also implemented LeafCutter [ 27 ] to directly quantify the usage of splice junctions (Fig A in S1 Text ). We have also augmented the txrevise promoter annotations with experimentally determined promoters from the FANTOM5 project [ 28 ]. Finally, we have updated the reference transcriptome annotations to Ensembl version 105 and GENCODE version 39.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition to these four, we have now also implemented LeafCutter [ 27 ] to directly quantify the usage of splice junctions (Fig A in S1 Text ). We have also augmented the txrevise promoter annotations with experimentally determined promoters from the FANTOM5 project [ 28 ]. Finally, we have updated the reference transcriptome annotations to Ensembl version 105 and GENCODE version 39.…”
Section: Resultsmentioning
confidence: 99%
“…For transcript quantification, we used the GENCODE V39 (GRCh38.p13) reference transcript sequences (fasta) file to build the Salmon index. For transcriptional event usage, we downloaded pre-computed txrevise [ 5 , 28 ] alternative promoter, splicing and alternative 3′ end annotations corresponding to Ensembl version 105 from Zenodo ( https://doi.org/10.5281/zenodo.6499127 ) in GFF format. These annotations had been augmented with additional experimentally derived promoter annotations from the FANTOM5 consortium [ 77 , 78 ].…”
Section: Methodsmentioning
confidence: 99%
“…In addition to these four, we have now also implemented LeafCutter (Li et al, 2018) to directly quantify the usage of splice junctions (Supplementary Figure 1). We have also augmented the txrevise promoter annotations with experimentally determined promoters from the FANTOM5 project (Vija and Alasoo, 2022). Finally, we have updated the reference transcriptome annotations to Ensembl version 105 and GENCODE version 39.…”
Section: Improved Quantification Of Splicing and Promoter Usage Qtlsmentioning
confidence: 99%
“…For transcript quantification, we used the GENCODE V39 (GRCh38.p13) reference transcript sequences (fasta) file to build the Salmon index. For transcriptional event usage, we downloaded pre-computed txrevise (Alasoo et al, 2019;Vija and Alasoo, 2022) alternative promoter, splicing and alternative 3ʹ end annotations corresponding to Ensembl version 105 from Zenodo (https://doi.org/10.5281/zenodo.6499127) in GFF format. These annotations had been augmented with additional experimentally derived promoter annotations from the FANTOM5 consortium (Abugessaisa et al, 2017;FANTOM Consortium and the RIKEN PMI and CLST et al, 2014).…”
Section: Phenotype Datamentioning
confidence: 99%