<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Adamson SI</submitter><funding>NHGRI NIH HHS</funding><funding>National Human Genome Research Institute</funding><pagination>71</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5984807</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>19(1)</volume><pubmed_abstract>Understanding the functional impact of genomic variants is a major goal of modern genetics and personalized medicine. Although many synonymous and non-coding variants act through altering the efficiency of pre-mRNA splicing, it is difficult to predict how these variants impact pre-mRNA splicing. Here, we describe a massively parallel approach we use to test the impact on pre-mRNA splicing of 2059 human genetic variants spanning 110 alternative exons. This method, called variant exon sequencing (Vex-seq), yields data that reinforce known mechanisms of pre-mRNA splicing, identifies variants that impact pre-mRNA splicing, and will be useful for increasing our understanding of genome function.</pubmed_abstract><journal>Genome biology</journal><pubmed_title>Vex-seq: high-throughput identification of the impact of genetic variation on pre-mRNA splicing efficiency.</pubmed_title><pmcid>PMC5984807</pmcid><funding_grant_id>R21HG008799</funding_grant_id><funding_grant_id>R21 HG008799</funding_grant_id><pubmed_authors>Adamson SI</pubmed_authors><pubmed_authors>Graveley BR</pubmed_authors><pubmed_authors>Zhan L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Vex-seq: high-throughput identification of the impact of genetic variation on pre-mRNA splicing efficiency.</name><description>Understanding the functional impact of genomic variants is a major goal of modern genetics and personalized medicine. Although many synonymous and non-coding variants act through altering the efficiency of pre-mRNA splicing, it is difficult to predict how these variants impact pre-mRNA splicing. Here, we describe a massively parallel approach we use to test the impact on pre-mRNA splicing of 2059 human genetic variants spanning 110 alternative exons. This method, called variant exon sequencing (Vex-seq), yields data that reinforce known mechanisms of pre-mRNA splicing, identifies variants that impact pre-mRNA splicing, and will be useful for increasing our understanding of genome function.</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Jun</publication><modification>2026-04-29T22:09:48.476Z</modification><creation>2019-03-26T23:40:25Z</creation></dates><accession>S-EPMC5984807</accession><cross_references><pubmed>29859120</pubmed><doi>10.1186/s13059-018-1437-x</doi></cross_references></HashMap>