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Filter by Variant Category

Connected Insights provides users with the flexibility to apply a selection of filter criteria to each variant category supported in the software. The selection of variant categories impacts the set of filtering criteria that can be selected for a given filter group.

The following table summarizes filters available for each variant category:

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Variant Categories

Variant Category

Small Variants

Structural Variants

Copy Number Variants

RNA Splice Variants

RNA Fusion Variants

COSMIC

+

CGC

+

+

+

+

+

Cancer Hotspots

+

+

+

+

+

Change (Copy Number)

+

Change (Fold Change)

+

ClinVar (VCV, RCV)

+

+

+

+

+

Consequences

+

+

+

+

+

Constraint Metrics(gnomAD)

+

+

+

+

+

Filters

+

+

+

+

+

Flags

+

+

+

+

+

Genes

+

+

+

+

+

Haploinsufficiency(ClinGen)

+

+

+

+

+

Length

+

+

+

+

+

Low Complexity Region(gnomAD)

+

OMIM

+

+

+

+

+

Origin

+

+

+

+

+

Population

+

+

+

Position (Chromosome)

+

+

+

+

+

Position (Genomic Regions)

+

+

+

+

+

PrimateAI-3D

+

LOH Overlap

+

+

+

+

+

Quality

+

+

+

+

+

Sample Metrics

+

+

+

+

+

Splice AI

+

Triplosensitivity (ClinGen)

+

+

+

+

+

Variant Type

+

+

+

Flags Filter

Connected Insights includes the Flags filter that filters variants by the custom flags defined in Test Components. For more information, refer to Configuration

Apply Variant Filters

Variants filters provide options for applying any combination of inclusion and exclusion criteria to the variants in a case. Filter criteria can vary depending on the selected variant categories. If filters are applied to more than one variant category in the same filter group, only filters relevant for all variant categories are available. For more information, refer to Filter by Variant Category.

Each filter combination resides on a different tab in the variant grid. Default filter views are defined in the test definition. You can create filter tabs in the grid for as many additional views as necessary. Filters applied in the variant grid are specific to the selected case.

For more information about filter options, refer to Filter by Variant Category and Filtering Logic

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Filters in the Test Definition

When you configure a new test, you can add one or more specific filters to the test definition. The filters become default filters and are applied to every case in your workgroup. The default filters are locked and shown in the first tabs of the variant grid. For more information, refer to .

The default filter tabs, indicated by a lock, cannot be altered or deleted for the cases already processed. To change or delete default filters, you must update the filters that are used in the test definition and reprocess the case and upcoming cases through the updated test definition.

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Understanding the Demo Filter

Included with Connected Insights, a demonstration of the filtering is provided as a template for you to define your own filter views. In the primary filter group, the filter is set up to return all variants categories (ie small variants, copy number variants, structural variants, RNA fusion variants, and RNA splice variants) and requiring that these are called with a PASS by each of the variant callers. In the subsequent filter groups, the filter is set up to apply variant category-specific logic.

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Create New Filters in the Variant Grid

Configure and modify case-specific filter views in new or unlocked variant grid tabs. The default filter tabs, indicated by a lock, cannot be altered or deleted.

  1. Create a tab using one of the following methods:

    • To create a filter, select New Filter.

    • To copy an existing filter, select the tab drop-down arrow and then select Duplicate Filter.

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Lock a Filter

  1. To lock a filter view, select the tab drop-down arrow, and then select Lock Filter. Locked filter views are indicated by a blue lock and cannot be deleted.

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Edit Filter Name

  1. To edit a filter name, select the tab drop-down arrow, and then select Edit Filter Name.

  2. After editing the name, select Save.

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Save Filter and Column Configurations

  1. To save a filter view, select Edit Variant Filters, then select Save As. The filter is saved and can be configured in the test definitions to be a default filter and be used across cases. Column configurations and filter dependencies are saved with the filter.

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Remove a Filter

  1. To remove a filter view, delete the tab. Default tabs are indicated by a lock and cannot be deleted.

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Export Filtered Variants

Export a list of variants and variant data to a tab-delimited file.

The maximum number of exported variants in a list is 7500. If the list exceeds the maximum, only the first 7500 results are included in the exported file.

  1. Configure the filters and flags to show only the variants to export.

  2. Select the tab drop-down arrow, and then select Export Grid as TSV.

Variant Quality Filters

This page summarizes filters related to variant quality. Filter availability can vary depending on the selected variant categories. If filters are applied to more than one variant category in the same condition group, only filters relevant for all variant categories are available. For more information, refer to .

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VCF Filters

Filters data by the value provided for the variant in the FILTER column of the VCF file. Refer to the variant caller documentation in to confirm possible values.

For TruSight Oncology 500, filtering by VCF Filters = PASS also returns variants with KeepFusion = TRUE in the fusion output file.

Variant Frequency Filters

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Small Variants

Connected Insights includes the Population filter that filters small variants based on the population allele frequency provided in the gnomAD database or custom annotations (refer to ).

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To load a new filter, select Load Filter.

  • Select or search for a filter to load from the list of compatible filters created and saved by all users in your workgroup. Filters with variant flags are only compatible to the cases using the same flag list. Select Apply.

  • [Optional] Double-click the tab label and enter a new name.

  • Select Edit Variant Filters.

  • Build and edit variant filters by applying various filtering criteria to the gene and variants. For more information, refer to Filtering Logic.

  • Select Apply.

  • Configuration
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    Quality

    Filters data by the value provided for the variant in the QUAL column of the VCF file. Refer to the variant caller documentation in Supported Pipelinesarrow-up-right to confirm possible values and recommended thresholds.

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    Sample Metrics

    Filters data by sample-level metrics for the tumor sample and normal sample (in the case of tumor + normal analysis):

    • Allele Depth

    • Total Depth

    • Split Reads

    • Paired Reads

    • Supporting Reads

    • VAF

    • Somatic Quality

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    Low Complexity Region

    Excludes small variants in low complexity regions (LCRs).

    For more information, refer to Acronyms and Terms.

    Filter by Variant Category
    Supported Pipelinesarrow-up-right
    Copy Number and Structural Variants

    The same Population filter is used to filter CNVs and SVs. For these variant categories, the filter uses the aggregate population allele frequency as calculated by Connected Insights based on the data provided in the 1000 Genomes Project database. The aggregation addresses challenges from significant variability in the calling of CNV and SV boundaries and the need to consider frequency of variants with close boundaries in aggregation. For example, allele frequency of variants 1000–2000 CNV gain and 1005–2000 CNV gain are considered as a sum). Specifically:

    • We selected alleles with 300 samples or more given the population group in the 1000 Genomes Project.

    • We aggregated alleles based on their similarity defined by the reciprocal overlap being equal or exceeding 0.75.

    • We calculated the aggregate frequency as the sum of all allele frequencies of the similar CNVs per given population group.

    ❗ The population frequency filter is only selectable in a filter group with a single selected variant category, as the population frequencies are tied to specific variant categories. The filter is not available for RNA Splice Variants and RNA Fusion Variants.

    ❗ The population frequency for copy number variants and structural variants is not displayed for alleles found in fewer than 300 samples per given population group in the 1000 Genomes Project.

    Custom Annotations

    Filtering Logic

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    Filtering Logic

    Connected Insights applies two levels of filtering. The first level is the condition group, which filters data by general information about the variants and is applied to all variants in the view. The second level includes other condition groups with more specific filtering criteria that are applied independently from other condition groups of the second-level filters.

    ❗ If you are building a filter that covers multiple variant categories, make sure that second level filters cover each of the variant categories that you intend to return with the filter. Including a variant category in the first level filter (eg, copy number variants) but omitting it in second-level filters (even if without filtering conditions) excludes this variant category from the filtering results. For example, filtering logic (Small Variants, CNVs, SVs) AND((Small Variants) OR (CNVs)) excludes SVs from the filtering results. Refer to the following filter examples for more details.

    Use the Exclude selector for a given filter to exclude matching variants. The default filter behavior is to include variants.

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    First-Level Condition Group

    The first-level condition group:

    • Does not specify any conditions for genes, thereby including into the filtering results variants from all genes.

    • Includes into the filtering results all variant categories that Connected Insights supports (for example, small variants SVs, CNVs, RNAsplice variants, and RNA fusions variants).

    • Sets a condition to include only variants that have PASS in the VCF variant filters, thus excluding all variants that do not have a PASSvalue.

    The first-level condition group is connected to the second-level condition groups via operator AND.

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    Second-Level Condition Groups

    The first of the second-level condition group specifies inclusion criteria for small variants to be returned in the filtering results. The condition group sets criteria to capture rare small variants with specific consequences that are of interest:

    • Variant category is set to Small Variant

    • Population frequency is specified as equal or less than 0.05 in five population groups in gnomAD

    • The Consequences filter lists categories of interest: Start Loss, Stop Gained, Stop Loss, and others

    The small variants condition group is connected to other second-level condition groups via the operator OR.

    The third second-level condition group provides inclusion criteria for RNA Splice Variants. Only PASS-ing (per first-level condition group) RNA Splice Variants with consequence Exon Loss Variant are included in the filtering results.

    The next second-level condition group provides inclusion criteria for RNA Fusion Variants. This filtering logic only includes PASS-ing (per first level condition group) Unidirectional Gene Fusions in the filtering results.

    The last second-level condition group lists structural variants and copy number variants as variant categories but does not provide any filtering condition. In the current version of Connected Insights, such condition group is required to include structural variants and copy number variants in the filtering results even though they are already specified in the first-level filter.

    Functional Impact Filters

    This page summarizes filters related to the functional impact of a variant. Filter availability can vary depending on the selected variant categories. If filters are applied to more than one variant category in the same condition group, only filters relevant for all variant categories are available. For more information,refer to Filter by Variant Category.

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    Constraint Metrics (gnomAD)

    Filters by gnomAD constraint metrics: LOEUF, misZ, pLI, misZ, pLI, pNull, pRec, and synZ. For more information, refer to Acronyms and Terms.

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    Haploinsufficiency and Triplosensitivity (ClinGen)

    Filters by the haploinsufficiency and triplosensitivity evidence classification. It represents the strength of evidence supporting a relationship between a gene and disease and whether loss (haploinsufficiency) or gain (triplosensitivity) of individual genes or genomic regions is a mechanism for disease(Riggs et al., Clin Genet. 81, 403–412 (2012)).

    The evidence categories can be used for clinical interpretation of copy number variants using the categories recommended by ClinGen.

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    Evidence Classification

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    SpliceAI

    Filters by the SpliceAI score. For more information, refer to .

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    PrimateAI-3D

    Filters by the PrimateAI-3D score. For more information, refer to .

    40: Dosage Sensitivity Unlikely

    Likely Benign/Benign

    Autosomal Recessive Phenotype

    30: Autosomal Recessive

    Not applicable

    Evidence Classification

    Haploinsufficiency and TriplosensitivityScore

    Suggested Classification

    Sufficient Evidence

    3

    Pathogenic

    Emerging Evidence

    2

    Likely Pathogenic

    Little Evidence

    1

    VUS

    No Evidence

    0

    VUS

    Acronyms and Terms
    Acronyms and Terms

    Sensitivity Unlikely

    Disease Association Filters

    This page summarizes filters related to variant – disease and gene – disease associations. Filter availability can vary depending on the selected variant categories. If filters are applied to more than one variant category in the same condition group, only filters relevant for all variant categories are available. For more information, refer to Filter by Variant Category.

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    Genes

    In addition to filtering by the gene list, variants can be filtered by genes based on their associations with diseases and phenotypes.

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    How to Create Disease/Phenotype-Based List

    1. Select the genes filter.

      • In the displayed dialog box window, select the Include genes from the diseases checkbox.

      • Start typing a phenotype or disease to display a list of potential matches to add to the list.

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    Resources of Gene - Disease Associations

    The following tables detail the ontology sources that Connected Insights uses to determine relationships between genes and diseases.

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    Gene Disease Relationship Resources

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    Disease Relationship Resources

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    Overlap Distance

    Phenotype to gene search finds similar phenotypes and diseases across various ontology sources, independent of the underlying vocabulary in each source. If an equivalent concept does not exist across the sources, Connected Insights calculates the distance between nodes in the ontological hierarchies and assigns a score from 0 to 1, where:

    • Values closer to 0 indicate that the concepts are more equivalent. A value of 0 indicates that the concepts are the same.

    • Values closer to 1 indicate that the concepts are more dissimilar. A value of 1 indicates that the concepts can only be connected at the root node and are therefore excluded from query results.

    The determination of distance accounts for the fact that sibling concepts on leaf nodes (eg, hypertrophic cardiomyopathy, and dilated cardiomyopathy) are more closely related to each other than siblings close to the root (eg, abnormal vascular morphology, and abnormal heart morphology).

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    Confidence

    Confidence scores for gene - disease associations are calculated using the following rules:

    • Expert-curated data from OMIM, HPO, Phenopedia, and ClinVar are assigned a high confidence score.

    • High, moderate, or low confidence scores are converted from GeL PanelApp strong, medium, and low scores, respectively.

    • GTR confidence scores are based on information content metrics, which measure the specificity of a genetic test for a particular phenotype and a gene.

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    COSMIC Cancer Gene Census

    Filters variants based on gene role in cancer annotated by COSMIC Cancer Gene Census (CGC).

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    Biological Classification

    Filters variants by the following biological classifications:

    • Oncogenic / Pathogenic

    • Likely Oncogenic / Likely Pathogenic

    • Uncertain Significance

    • Likely Benign

    as provided by My Knowledge Base or OncoKB.

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    Oncogenicity Prediction

    Filters variants by the following classifications as predicted by :

    • Oncogenic

    • Likely Oncogenic / Likely Pathogenic

    • Uncertain Significance

    • Likely Benign

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    Actionability

    Filters variants by the following actionability classifications ():

    • Tier 1A

    • Tier 1B

    • Tier 2C

    • Tier 2D

    as provided by My Knowledge Base, OncoKB, CKB, or CIViC.

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    ClinVar

    Filters on interpretation categories and the review status provided in the ClinVar database.

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    Interpretation Category Descriptions

    To filter by ClinVar review status, use the definitions provided from the ClinVar status review guidelines on the National Center for Biotechnology Information website.

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    Interpretation Category Descriptions

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    COSMIC

    Filters by presence in the COSMIC database. For more information, refer to .

    ❕ The COSMIC filter is only selectable for small variants.

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    Cancer Hotspots

    Filters by number of samples in cancer hotspots.

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    OMIM

    Filters variants based on genes with known gene-disease associations in the OMIM database.

    • Present in OMIM — An OMIM entry exists for the gene.

    • Has associated OMIM phenotypes (including ?) — A relationship exists between the phenotype and a matching gene at the transcript level. Provisional relationships, indicated by "?" in OMIM, are included.

    • Has associated OMIM phenotypes (excluding ?) — A relationship exists between the phenotype and a matching gene at the transcript level. Provisional relationships, indicated by "?" in OMIM, are excluded.

    Selecting associated phenotypes enables options to refine the filter by mode of inheritance.

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    Mode of Inheritance Descriptions

    Select a checkbox next to Resource to include it in the list.
  • Select a high, medium, or low confidence score.

  • Select an overlap distance between 0.00 and 1.00.

  • The disease and related diseases display in the Related Diseases area with the distance and gene count. Deselect any unnecessary related diseases.

  • Add any other genes to the gene list.

  • Add additional genes in the Additional genes area.

  • Select Apply to save changes to the gene list.

  • GeneRIF associations, which are derived using data mining, and assigned medium confidence.
  • Benign

  • Benign

  • Tier 3

  • Tier 4

  • The highest review status across all VCV and RCV records for the variant is no stars.

    No assertion criteria provided. For more information, refer to the ClinVar status review guidelines on the National Center for Biotechnology Information website.

    Mitochondrial

    Mu

    Multifactorial

    DD

    Digenic Dominant

    DR

    Digenic Recessive

    SMu

    Somatic Mutation

    SMo

    Somatic Mosaicism

    IC

    Isolated Cases

    Resource

    Description

    OMIM

    Online Mendelian Inheritance in Man

    HPO

    Human Phenotype Ontology

    Phenopedia

    Human Genome Epidemiology (HuGE)

    GEL PanelApp

    Genomics England PanelApp

    ILMN

    • Clinvar – NCBI ClinVar •MedGen – NCBI portal to information about conditions and phenotypes related to Medical Genetics. •GTR – NCBI Genetic Testing Registry •GeneRIF – NCBI Gene Reference into Function

    Resource

    Description

    ICD-9

    International Classification of Diseases, Ninth Revision

    ICD-10

    International Classification of Diseases, Tenth Revision

    MeSH

    Medical Subject Headings

    UML

    Unified Medical Language system. A repository of ontology resources.

    SNOMEDCT

    Systematized Nomenclature of Medicine Clinical Terms

    Role in Cancer

    Description

    TSG

    Known tumor suppressor gene (TSG).

    Oncogene

    Known oncogene.

    Fusion

    Known fusion gene.

    Interpretation Category

    Definition in Connected Insights

    Pathogenic

    The variant has at least one aggregate variant record (VCV entry) or aggregate variant –disease record (RCV) with classification category Pathogenic in the ClinVar database.

    Likely Pathogenic, UncertainSignificance, Likely Benign, Benign

    The variant has at least one aggregate variant record (VCV entry) or aggregate variant –disease record (RCV) with classification category Pathogenic in the ClinVar database.

    None

    The variant has no records in ClinVar or has at least one aggregate variant record (VCV entry)or aggregate variant – disease record (RCV) with interpretation categories Drug Response,Protective, and others (any other categories excluding Pathogenic, Likely Pathogenic,Uncertain Significance, Likely Benign, and Benign).

    Number of Stars

    Definition in Connected Insights

    Review Status Descriptions

    Four

    The highest review status across all VCV and RCV records for the variant is four stars.

    Practice guideline. For more information,refer to the ClinVar status review guidelines on the National Center for Biotechnology Information website.

    Three

    The highest review status across all VCVand RCV records for the variant is three stars.

    Reviewed by export panel. For more information, refer to the ClinVar status review guidelines on the National Center for Biotechnology Information website.

    Two

    The highest review status across all VCVand RCV records for the variant is two stars.

    Criteria provided, multiple submitters, no conflicts. Two or more submitters with assertion criteria and evidence (or a public contact) provided the same interpretation.

    One

    The highest review status across all VCV and RCV records for the variant is one star.

    Criteria provided, conflicting interpretations. Multiple submitters provided assertion criteria and evidence(or a public contact) but there are conflicting interpretations. The independent values are enumerated for clinical significance.

    Mode of Inheritance

    Description

    AD

    Autosomal Dominant

    AR

    Autosomal Recessive

    XL

    (X-linked)

    XLD

    (X-linked Dominant)

    XLR

    (X-linked Recessive)

    YL

    (Y-linked)

    oncogenicity prediction
    or equivalent
    Acronyms and Terms

    None

    MI

    Variant Details Filters

    This page summarizes filters related to variant details. Filter availability can vary depending on the selected variant categories. If filters are applied to more than one variant category in the same condition group, only filters relevant for all variant categories are available. For more information, refer to Filter by Variant Category.

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    Origin

    Filters variants by Suspected Somatic or Predicted Germline origin.

    You can select these options when creating or editing a variant filter by updating the Origin criterion. For example, if you do not want predicted germline variants, then add or update the Origin criterion to only include Suspected Somatic. For more information, refer to Variant Filters.

    You can also add or edit a test definition to include either somatic or predicted germline variants through selecting the applicable variant filters in the Variant Filter(s) field. For more information, refer to .

    For tumor-only analyses, when enabled in DRAGEN, variant origin is determined for small variants based on gnomAD allele counts.

    Note: If no variants are tagged by DRAGEN as likely germline (such as when not enabled), variants will not be labeled with Suspected Somatic or Predicted Germline. It is recommended to Exclude Predicted Germline variants when avoiding interpretation of likely germline variants.

    For tumor-normal analysis, variant origin is determined for by secondary analysis based on the presence of the SOMATIC tag in the INFO column of a variant call or based on the presence of read support for that variant in the normal sample:

    • Any variant call with a SOMATIC tag in the INFO column is determined to be Suspected Somatic regardless of read support

    • Otherwise, if the variant call has zero read support in the normal sample it is marked as Suspected Somatic

    • Otherwise, the variant is marked as Predicted Germline

    Note: For copy number variants, the exact same copy number state does not need to present for a variant to be Predicted Germline (e.g. a variant that is copy neutral LOH in the tumor sample - CN = 2 and MCN = 0 - and copy gain in the normal sample - CN > 2).

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    LOH Overlap

    Filters small variants by overlap with an LOH event when LOH data is provided.

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    Genes

    Filters variants by genes. There are two ways to create gene lists in the filter.

    • Using a list of gene names. To create a gene list, type or paste gene names in the Additional Genes field.

    • Using gene-disease associations from several sources. For more information, refer to .

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    Variant Type

    Filters small variants, structural variants, and copy number variants by their types.

    ❗ The variant type is only selectable in a filter group with a single selected variant category as the variant types are tied to specific variant categories.

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    Consequences

    Filters data by specific consequences.

    ❗ The consequence filter is only selectable in a condition group with a single selected variant category as the consequences are tied to specific variant categories.

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    Small Variant Consequence Filters

    When annotating transcripts with terms, Connected Insights uses the most specific term supported by the variant annotator.

    Consequence filters return only the specified term and do not automatically include child terms. Specify the exact terms to include in the filter results.

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    Functional Consequences

    These consequences are annotated when a variant has a biological assertion from any source with these consequences (for example, JAX-CKB or MyKnowledge Base).

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    Coding Sequence Consequences

    Start and Stop Alterations

    Filters data by the presence and location of start and stop alterations.

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    Start and Stop Alteration Consequences

    Splice Site Consequences

    Filters data by the affected splice site.

    Indel Consequences

    Other Consequences

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    Silent Consequences

    Filters data by the variant relationship to a gene.

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    Structural Variant Consequence Filters

    When annotating transcripts with terms, Connected Insights uses the most specific terms supported by the variant annotator. Consequence filters return only the specified term and do not automatically include child terms. Specify the exact terms to include in the filter results.

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    Functional Consequences

    These consequences are annotated when a variant has a biological assertion from any source with these consequences (for example, JAX-CKB or MyKnowledge Base).

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    Transcript Consequences

    Filters data by the transcript consequence.

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    Gene Fusion Consequences

    Filters data by the gene fusion consequence.

    Note: If a gene fusion is inframe for at least one transcript pair and frameshift for others, then only inframe unidirectional gene fusion is shown.

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    Copy Number Variant Consequence Filters

    When annotating transcripts with terms, Connected Insights uses the most specific term supported by the variant annotator. Consequence filters return only the specified term and do not automatically include child terms. Specify the exact terms to include in the filter results.

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    Functional Consequences

    These consequences are annotated when a variant has a biological assertion from any source with these consequences (for example, JAX-CKB or MyKnowledge Base).

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    Transcript Consequences

    Filters data by the transcript consequence.

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    Copy Number Variant Consequences

    Filters data by the copy number consequence.

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    RNA Splice Variant Consequence Filters

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    Functional Consequences

    The functional consequences are annotated when a variant has a biological assertion from any source with these consequences (for example, JAX-CKB or My Knowledge Base).

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    RNA Splice Variant Consequences

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    RNA Fusion Variant Consequence Filters

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    Functional Consequences

    The functional consequences are annotated when a variant has a biological assertion from any source with these consequences (for example, CKB or My Knowledge Base).

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    RNA Splice Variant Consequences

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    Position (Chromosome)

    Filters by specified chromosomes. If no chromosome is selected, the chromosome filter is not applied.

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    Position (Genomic Regions)

    Filters by specified regions. The input format is chr#: start-stop, within multiple regions separated by spaces or new lines.

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    Change (Copy Number)

    These values indicate a reference, deletion, or amplification of copy number variants.

    ❗ The change (copy number) filter is only selectable in a condition group with only the copy number variant category.

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    Change (Fold Change)

    With copy number variants, the fold change value is derived from the normalized read depth of the gene in a sample. This depth is relative to the normalized ready depth of diploid regions in the same sample.

    ❗ The change (fold change) filter is only selectable in a condition group with only the copy number variant category.

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    Length

    Filters data by variant length with resolution up to one bp.

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    VCF INFO

    Filters data by data contained within the INFO column of VCF entries (supports numeric, string search, and boolean).

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    Custom Annotations

    Filters variants by .

    The variant changes the noncoding exon sequence in a noncoding transcript.

    Noncoding Transcript Variant

    The variant occurs in a noncoding RNA gene.

    Synonymous Variant

    The variant does not affect the primary amino acid sequence of the translated protein.

    Start Retained Variant

    At least one base in the start codon is changed, but the start codon remains.

    Stop Retained Variant

    At least one base in the terminator code is changed, but the terminator remains.

    Mature miRNA Variant

    The variant occurs within a mature miRNA sequence.

    NMD Transcript Variant

    The variant is in a transcript and is the target of nonsense-mediated decay (NMD).

    Regulatory Region Ablation

    A deletion of a region that contains a regulatory region.

    Regulatory Region Amplification

    An amplification of a region that contains a regulatory region.

    Regulatory Region Variation

    The variant occurs in a regulatory region.

    The variant causes the reduction of a genomic feature.

    5-Prime Duplicated Transcript

    A partially duplicated transcript in which the 5' end of the transcript is duplicated.

    3-Prime Duplicated Transcript

    A partially duplicated transcript in which the 3' end of the transcript is duplicated.

    The variant causes the extension of a genomic feature.

    Feature Truncation

    The variant causes the reduction of a genomic feature.

    5-Prime Duplicated Transcript

    A partially duplicated transcript in which the 5' end of the transcript is duplicated.

    3-Prime Duplicated Transcript

    A partially duplicated transcript in which the 3' end of the transcript is duplicated.

    Loss of Heterozygosity

    The variant results in loss of heterozygosity of the transcript.

    Consequence

    Description

    Gain of Function Variant

    The variant results in gain of function.

    Loss of Function Variant

    The variant results in loss of function.

    Consequence

    Description

    Start Loss

    The loss of a start codon in the coding sequence.

    Stop Gained

    The gain of a stop codon in the coding sequence.

    Stop Loss

    The loss of a stop codon in the coding sequence.

    Incomplete Terminal Codon

    A change to at least one base of the final codon of an incomplete annotated transcript.

    Feature Elongation

    The variant causes the extension of the genomic feature.

    Feature Truncation

    The variant causes the reduction of a genomic feature.

    Type

    Description

    Splice Acceptor Variant

    The variant affects the canonical splice acceptor site (last two bases of the 3' end of the intron).

    Splice Donor Variant

    The variant affects the canonical splice donor site (first two bases of the 5' of the intron).

    Splice Region Variant

    An indel or substitution in a non coding splice region of the gene.

    Type

    Description

    Frameshift Variant

    An insertion or deletion in which the number of base pairs is not divisible by 3, causing a frame disruption.

    Inframe Deletion

    A deletion that does not disrupt the reading frame.

    Inframe Insertion

    An insertion that does not disrupt the reading frame.

    Type

    Description

    Missense Variant

    A single base pair substitution that results in the translation of a different amino acid at the position.

    Protein Altering Variant

    The variant has a protein-altering coding consequence.

    Coding Sequence Variant

    The variant changes the coding sequence.

    Type

    Description

    Intergenic Variant

    The variant position is not covered by any gene transcript.

    Upstream Gene Variant

    The variant position is within 5 kb upstream of the defined transcript start coordinate.

    Downstream Gene Variant

    The variant position is within 5 kb downstream of the defined transcript end coordinate.

    Intron Variant

    The variant occurs within an intron region.

    3-prime UTR Variant

    The variant is in the 3' untranslated region of a gene.

    5-prime UTR Variant

    The variant is in the 5' untranslated region of a gene.

    Consequence

    Description

    Gain of Function Variant

    The variant results in gain of function.

    Loss of Function Variant

    The variant results in loss of function.

    Consequence

    Description

    Transcript Variant

    The variant changes the structure of the transcript.

    Intron Variant

    The variant is completely within the intron region of the gene.

    Exon Variant

    The variant is completely within the exon region of the gene.

    Transcript Ablation

    A deletion of the region that contains a transcript feature.

    Transcript Amplification

    An amplification of a region that contains a transcript.

    Feature Elongation

    The variant causes the extension of a genomic feature.

    Consequence

    Description

    Unidirectional Gene Fusion

    A fusion of two genes on the same strand.

    Inframe Unidirectional Gene Fusion

    A fusion of two genes on the same strand and the reading frame is intact (only for RNA fusion variants).

    Frameshift Unidirectional Gene Fusion

    A fusion of two genes on the same strand and the reading frame is disrupted (only for RNA fusion variants).

    Bidirectional Gene Fusion

    A fusion of two genes on the opposite strand.

    Gene Fusion

    A fusion of two genes with ambiguous or unknown strand.

    Consequence

    Description

    Gain of Function Variant

    The variant results in gain of function.

    Loss of Function Variant

    The variant results in loss of function.

    Consequence

    Description

    Transcript Variant

    The variant changes the structure of the transcript.

    Intron Variant

    The variant is completely within the intron region of the gene.

    Exon Variant

    The variant is completely within the exon region of the gene.

    Transcript Ablation

    A deletion of a region that contains a transcript feature.

    Transcript Amplification

    An amplification of a region that contains a transcript.

    Transcript Truncation

    A truncation of a region that contains a transcript.

    Type

    Description

    Copy Number Increase

    The copy number is increased relative to the reference sequence.

    Copy Number Decrease

    The copy number is decreased relative to the reference sequence.

    Copy Number Change

    The copy number is increased or decreased.

    Intron Variant

    The variant is completely within the intron region of the gene.

    Exon Variant

    The variant is completely within the exon region of the gene.

    Consequence

    Description

    Gain of Function Variant

    The variant results in gain of function.

    Loss of Function Variant

    The variant results in loss of function.

    Consequence

    Description

    Exon Loss Variant

    A loss of one or more exons in a gene.

    Consequence

    Description

    Gain of Function Variant

    The variant results in gain of function.

    Loss of Function Variant

    The variant results in loss of function.

    Consequence

    Description

    Unidirectional Gene Fusion

    A fusion of two genes on the same strand.

    Inframe Unidirectional Gene Fusion

    An inframe fusion of two genes on the same strand.

    Frameshift Unidirectional Gene Fusion

    A frameshift fusion of two genes on the same strand.

    Bidirectional Gene Fusion

    A fusion of two genes on the opposite strand.

    Transcript Variant

    The variant changes the structure transcript.

    Test Definition Setup
    Disease Association Filters
    Custom Annotations

    Noncoding Transcript Exon Variant

    Feature Truncation

    Feature Elongation