Ensembl VEP makes it easy to annotate your variants with the reference data essential to variant filtering and interpretation. This includes the results of multiplex assays of variant effect (MAVEs) which report on observed cellular phenotypes across nearly all possible variants in specific targeted regulatory or coding regions.

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To support the filtering and interpretation of structural variants (SVs), the Ensembl VEP web interface has been extended in release 115 to annotate them with allele frequencies from gnomAD and clinical significance from ClinVar.

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Ensembl VEP calculates the location and likely impact of variant alleles on genes, producing extensive annotations, but there are now a huge number of human transcripts to consider. The new GENCODE Primary transcript set streamlines the variant annotation process, saving time in both analysis and results filtering/ interpretation.

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The Ensembl VEP command-line tool can annotate and filter variants called against the latest human assemblies, including the telomere-to-telomere assembly of the CHM13 cell line (T2T-CHM13). In this blog post, we provide examples of how to run Ensembl VEP with these new assemblies and list the additional annotations supported via plugins.

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Here we will highlight how to get the most out of containers, enabling you to quickly start running any version of Ensembl VEP on a computer with Docker/Singularity installed. We have improved the Ensembl VEP Docker build process and updated our instructions on how to use Docker and Singularity.

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In Ensembl release 110, we have extended the analysis options available for structural variants (SV) in Ensembl VEP including more detailed molecular consequence predictions, more efficient integration of information from reference SV sets, support for breakend variant annotation and the integration of CADD-SV scores.

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Ensembl VEP maps your variants to genes but what do those genes do?

The Gene Ontology (GO) annotates genes with molecular function, the cellular location in which the gene product functions and the biological process in which the gene product is involved. In addition to phenotype association information, which is only available for a few genes, we now show GO annotations to help guide variant prioritisation by providing an indication of the functionality a variant may affect.

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We are updating SIFT and PolyPhen-2 predictions of missense variant deleteriousness in the Ensembl browser and Ensembl VEP with the new release 109. We have recalculated all scores using newer software versions, updating PolyPhen-2 from 2.2.2 to 2.2.3 and SIFT from version 5.2.2 to 6.2.1. When we update software and reference data versions, we expect to see changes in some predictions. This is a guide as to what you can expect.

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