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Variants that are most promising for solving the case. This list is limited to 10 top-scored variants but may include more if more than one variant is tagged per gene (suggesting compound heterozygosity). We can change the Most Likely Candidates number limit upon request.
Several dozen highly scored variants worth considering.
As of version 30.0 and onwards, the ranking of variants by AI Shortlist considers both SNVs and CNVs, including SNV + CNV compound heterozygotes. Starting from version 32.0, AI Shortlist additionally considers SVs, mtDNA variants and STRs.
The AI Shortlist rates variants based on predicted variant effects, alternative allele frequency, familial segregation pattern, phenotypic match, in silico predictions, and other relevant information from scientific papers and databases.
During the case review, you can untag variants selected by the AI Shortlist or manually tag ones not selected by the AI Shortlist.
Filters panel - includes numerous adjustable Filters and Presets (on the left)
Variant table - a user-customizable display of all the analysis results (core section)
Variant page - when selecting a variant, the variant page opens, revealing a detailed annotation and other assessment tools for the particular variant.
The Top bar in the Individual case page indicates the Case ID and current Case status.
Change the Case status
Reanalyze the case
Finalize the case and write interpretation notes
Preview the case report
"phenotype1" (e.g., "Mandibular prognathia")
"disease1" (e.g., Kabuki syndrome 1)
"inheritance mode1" (e.g., Autosomal dominant);
"coordinate1" (e.g., chr11:2686616)
"variant" (e.g., chr1:27089776G>T)
"range1" (e.g., chr11:2686616-2886620)
"cnv_size:size1" (e.g., cnv_size:100000-10000000)
"gene1" (e.g., BRCA1)
"gene1, gene2, gene3" (e.g., BRCA1, BRCA2, UBE3A)
Allele Bias - indicates the percentage of reads that include an alternate allele out of all reads. Available only for SNVs. |
Allele Freq - indicates variant frequency category according to the highest allele frequency in public population frequency databases:
🔻 Allows alphabetical sorting |
Alternate Read - number of alternate reads. Available only for SNVs. 🔻 Allows numerical sorting |
Coding Change - variant's coding sequence change (transcript-specific). |
Conservation - summarized nucleotide conservation score. Tip: you can glance at the underlying scores in the pop-up tooltip |
Depth (in proband):
🔻 Allows numerical sorting |
Tip: hover over the partially displayed disease name to see the full name in the pop-up window |
Emedgene DB Frequency - variant frequency in Emedgene's internal control database. |
Father Depth:
🔻 Allows numerical sorting |
🔻 Allows alphabetical sorting |
Gene:
|
gnomAD Het Count - number of gnomAD subjects who are heterozygous for this variant. |
gnomAD Hom / Hemi - number of gnomAD subjects who are homozygous (autosomal or X-linked variant in a female) or hemizygous (X-linked variant in a male) for this variant. |
Historic AF - variant frequency in the organization's pre-loaded Historic DB. |
Known Variants - displays the variant's classification(s) in ClinVar and your own curated variant database. |
Manual Classification - displays the user-assigned Pathogenicities from your previous cases. The color of each element indicates the variant's Pathogenicity, while a number corresponds to a number of the previous classifications. Tip: hover over the badge to see the Pathogenicity. |
Mother Depth:
🔻 Allows numerical sorting |
🔻 Allows alphabetical sorting |
Networks Classification - displays the Pathogenicities assigned by partnering organizations in your network. The color of each element indicates the variant's Pathogenicity, while a number corresponds to a number of the previous classifications. Tip: hover over the badge to see the Pathogenicity. |
Phenomatch score - a score reflective of the phenotypic match between a patient's phenotypes and clinical presentation of one of the gene-related diseases (the one shown in the Disease column). The Phenomatch score is calculated by Emedgene's proprietary algorithm and ranges from 0 to 1. |
Prediction - summarized in silico pathogenicity prediction score. Tip: you can glance at the underlying scores in the pop-up tooltip. 🔻 Allows alphabetical sorting |
🔻 Allows alphabetical sorting |
Protein Change - protein change (transcript-specific). |
Splice Prediction - summarized in silico splicing prediction score. Tip: you can glance at the underlying scores in the pop-up tooltip. |
Variant Details:
🔻 Allows sorting by genomic start location |
The Quality Filters allow one to filter variants by variant quality metrics. The filter can operate in a Simple or Advanced mode.
Select a minimum degree of sequencing Quality (Low, Moderate, High).
Select a minimum degree of sequencing Quality (Low, Moderate, High),
Define minimum Mapping Quality (0-60 - value can be exceeded using the text box),
Specify minimum Depth (0-500 - value can be exceeded using the text box),
Set minimum number of alternate reads in Alternate Read (0-500 - value can be exceeded using the text box). Note: available for cases run with pipeline version 5.26+.
Set limits on Allele bias (0-100). Note: when applied to mtDNA variants, the Allele bias filter operates on heteroplasmy levels.
Set limits on CNV Length (50bp, 1kb, 10kb, 100kb, 1Mb, 100Mb, Max CNV length),
Set minimum CNV Bin Count (1, 5, 10, 25, 50, 100, 500).
Quality: Moderate and High,
Mapping Quality ≥45,
Depth ≥ 10,
Alternate Read - no filtering,
Allele bias - no filtering,
CNV Length - no filtering,
CNV Bin Count - no filtering.
As of version 2.26:
To do this, click on the Export icon on top of the Analysis tools tab.
Note: If your current selection comprises more than 1500 variants, only the first 1500 variants will be downloaded.
You can enter a specific case from the Cases page by clicking Full details in the corresponding row of the case table.
Displays a Case ID and Case status and includes Case interpretation, Edit case info, and Report preview buttons.
Highlights a shortlist of variants, suggested to be reviewed first - Most Likely Candidates and Candidates.
Illustrates quality metrics for the sequenced samples.
Provides numerous customizable filters to help you explore the total list of genetic variants in compliance with your organization's standard case review process. You can export shortlisted variants in .xlsx format.
Documents versions of all the resources used during case analysis.
When you:
Complement NGS with other genetic tests done on the side (long-read sequencing, optical mapping, CGH, SNP array, karyotyping/FISH, repeat-primed PCR, MLPA, Southern blot, etc), or
Choose to report a few adjacent variants as a single multi-nucleotide variant,
the need to add variants on top of the analysis results arises.
You can manually add variants absent from the VCF or not called from the FASTQ. Supported variant types are SNV, CNV, UPD, ROH, and STR. SV is coming soon!
Click on the plus button on the top right of the Analysis tools tab.
Note: if you do not see this option, please contact us and we will provide you with the relevant user role.
In the Manually Add Variant window select variant type among SNV, CNV, UPD, ROH, and STR.
Fill in variant details according to the selected variant type:
Chromosome,
Position,
REF,
ALT,
Zygosity
Chromosome,
Position Start,
Position End,
REF,
ALT,
Type:
CNV: DEL, DUP,
UPD: IUPDMAT (maternal isodisomy), IUPDPAT (paternal isodisomy), HUPDPAT (paternal heterodisomy), HUPDMAT (maternal heterodisomy),
Zygosity
Chromosome,
Position,
REF Repeats Number,
ALT Repeats Number,
Repeats Unit,
Zygosity
Click on Create Variant.
Unlike regular variants, the manually added variant's Variant page has a blue frame and a "Manually added variant" title.
Note: Quality and Visualization sections of the Variant page are not relevant for manually added variants, and Population Statistics section is not available for now. Automatic assignment of ACMG criteria is not available for manually added variants but you may manually select the relevant tags and the final variant class will be calculated on the fly.
In User filters select Manually added variants:
Presets are combinations of Filters that match your case analysis SOPs.
For versions prior to 34.0, technical support is required to implement a customized filter Preset. But with version 34.0 and later, users can easily do it on their own.
To save Presets from active filters:
Click on the three-dot icon;
Select Save as preset;
Enter a name for the Preset (Note: Avoid using non-Latin symbols that don't follow the ISO-5589-1 standard);
Click Save.
To manage filter Presets, navigate to Settings > Organization Settings > Lab Workflow > Presets. From here, you can edit, delete, or lock/unlock the preset as needed.
In Presets, scroll down and click Add beside Gene Lists.
Select the gene lists you want to utilize as filter presets by marking the relevant checkboxes. Starting from version 30.0+, a search bar simplifies list navigation by allowing you to search by list name.
Click Save.
Presets originating from gene lists will appear in Presets under Gene Lists.
On 32.0+, for a quick refresher, you may review the logic behind each Preset directly within your analysis flow. To do so, click on an downward arrow icon left to the Preset's name.
The Emedgene Workbench offers a wide array of dynamic filters to help reveal or limit variants that are the most relevant to your clinical case. Each filter contains multiple options to customize the case review process according to your organization's best practices.
: Manually adjustable variant specifications;
: These are filter combinations that are custom-built and implemented according to the case analysis SOPs used by your team.
You can implement different combinations of to be used for different case types (i.e. Presets for exome may be different from Presets for genome) as defined by your SOPs to further streamline case review.
The combination of Presets is referred to as a Preset group.
Preset group selection is available in the Case info screen of the flow while or a case.
: Variant quality metrics
: Alternative allele frequencies and genotype counts in public and internal databases
and : Variant consequences, ACMG pathogenicity classes, variant types (sequence, structural, mtDNA), and whether and how the variant is classified in clinical variation databases.
: Disease-associated genes, genes of unknown significance, ACMG clinically actionable genes, cancer-associated genes, candidate gene list, etc.
: Gene-disease associations that match the proband's clinical phenotypes
: Select a mode of inheritance that is compatible with the genotypes and phenotypes of affected and healthy family members
: Filter by genotypes in selected samples
: Variants tagged by the user or the AI Shortlist, manually added variants, and other organization level filters.
Note: Quality, Polymorphism, and Variant filters can operate in either a Simple or Advanced mode.
Clear - deselect all filters and reveal all the variants;
Reset to Default - set default filters values: moderate/high quality (Quality Filter), low/moderate/high severity (Variant Filters), and Het/Hom zygosity in the proband (Zygosity Filters);
Displays the analysis results, one variant per row;
Supports and sorting by various criteria;
Allows of up to 1500 filtered variants;
Enables users to variants to a delivered case.
Starting from version 34.0, the formatting of variant table rows provides hints about the variant status for the current user per particular case. It indicates whether the variant has been viewed by the current user, and whether it has been tagged either by the current user or by the AI Shortlist.
Not tagged variants are indicated by black font color;
Variants tagged by the AI Shortlist are indicated by green font color;
Variants tagged by any user, whether currently active or another user, are shown in blue font color.
Variants viewed by the current user are indicated by regular font weight. The variant is marked as viewed only if the current user has opened the variant page before the case was finalized.
Not viewed variants are indicated by bold font weight.
Any column can be shown or hidden by selecting the columns in the Show/Hide Columns menu (activated via an icon on 30.0.0+) in the top right corner of the page.
You can choose between comfort and compact view by pressing the button next to the Variant search tab.
All modifications are automatically saved for each individual user and retained until new changes are made.
A shortlist of the most promising variants with the highest scores from the AI Shortlist:
before 30.0: SNVs;
30.0+: SNVs and CNVs;
32.0+: SNVs, CNVs, SVs, mtDNA variants and STRs.
These variants are initially selected by the AI Shortlist, but you may untag variants or tag them manually during the case review.
Pathogenic or likely pathogenic variants in the medically actionable genes defined by the ACMG. These variants are automatically tagged only if you've selected the Secondary findings checkbox while creating a case.
Variants identified by the Carrier analysis pipeline. Carrier variants are automatically tagged only if you've selected the Carrier Analysis checkbox while creating a case. Analysis requirements and a list of targeted regions are specified by the organization's manager. This Carrier analysis flow is implemented by request.
Variants that were manually selected to be reported.
To select variants with a particular tag, use the Filter candidates dropdown menu in the top right corner. You can choose between Most Likely, Candidate, Incidental, Carrier, Not Reviewed, or any custom tags used in your organization.
For each variant on the Candidates tab, you can explore the suggested diagnosis, gene symbol, main variant details, and variant tag.
When a variant is found in a gene with no known association with a disease, the possible diagnosis cannot be indicated. Such variants are displayed under the Gene of Unknown Significance title.
The Polymorphism Filters enable filtering variants by alternative allele frequencies and genotype counts in public and internal databases. The filters can operate in a Simple or Advanced mode.
Switch on or off Display Polymorphism option:
When switched on, no restrictions are being applied.
When switched off, variants with allele frequency >0.05 in public databases or >0.25 in the EmedgeneDB are filtered out.
Filter variant list by limiting the maximum Allele Frequency, Hom/Hemi and Het counts in one of the public database options (GnomAD, ExAC, 1000 Genomes, or GME) or, by default, in all (All Databases). The default values for Hom/Hemi and Het can be exceeded using the text box.
In addition, limit results by the maximum Allele Frequency in internal databases:
Emedgene Database - a static sample set of 806 healthy individuals. Aimed at getting rid of the artifacts generated by our FASTQ processing pipeline
Organization Databases, e.g., NoiseDB - a blacklist of variants (implemented by request).
When are Reset to Default, The Polymorphism Filters are set to the Display Polymorphism option of the Simple mode, i.e., no filtering.
The Variant Effect Filters allow filtering variants by consequence, ACMG pathogenicity classes, and whether/how the variant has been classified internally or in clinical variation databases. The filters can operate in a Simple or Advanced mode.
Filter variant list by:
Severity of variant effect (High, Moderate, Low, Modifier);
CNV Severity is set according to the image below;
Known Variant (Known Variants, Known Pathogenic Variants) - variant status in clinical variation databases (ClinVar, HGMD) and previous classifications by your organization or network.
Further restrict analysis results by:
Specific Main effect of the variant on protein structure and function;
ACMG Classification (Pathogenic, Likely Pathogenic, Uncertain Significance, Likely Benign, Benign)- ACMG pathogenicity class assigned manually or automatically. Note: applicable only for Candidate and Most Likely variants;
ClinVar Known Variants (Pathogenic, Likely Pathogenic, VUS, Likely Benign, Benign, Other) - variant status in ClinVar;
Custom database Known Variants (Pathogenic, Likely Pathogenic, VUS, Likely Benign, Benign, Other) - variant status in your own curated variant database, including CNVs detected by means of NGS and/or chromosomal microarray;
Manually Classified Variants - select this option to restrict results to variants from previous cases with user-assigned Pathogenicity.
When Filters are Reset to Default, the Variant Filters are set to:
Severity: High, Moderate, Low;
Known Variant - no filtering.
Disease - the number of disease associations and corresponding mode(s) of inheritance derived from and , and the name of one of the diseases are listed.
Father Quality - overall score in father:
Father Zygosity - variant in father. 🔻 Allows alphabetical sorting
gnomAD All AF - overall alternative allele frequency across gnomAD populations (also called Total AF in the ). 🔻 Allows numerical sorting
Main Effect - of the variant on protein structure and function (transcript-specific). By default the most severe effect is presented. 🔻 Allows alphabetical sorting
Max AF - the highest alternative allele frequency among all public population databases. Note: not to be confused with Max AF in that only considers gnomAD statistics. 🔻 Allows numerical sorting
Mother Quality - overall score in mother:
Mother Zygosity - variant in mother. 🔻 Allows alphabetical sorting
Pathogenicity - variant pathogenicity that has been manually assigned in the .
Proband Quality - overall score in proband:
Proband Zygosity - variant in the proband. 🔻 Allows alphabetical sorting
Tag - assigned by Emedgene or selected by a user.
Variant Notes - indicates if the variant has notes.
When are Reset to Default, The Quality Filters are set to:
To manage filter Preset groups, navigate to > > :
From here, you can create ( /, , and Preset groups as needed.
Here, you can set a Preset group as default, so it will be used unless another Preset group is selected during .
🆕 34.0+: Save as preset - create a new based on the currently active filters.
Note: After a case , all variants appear as not viewed.
Formatting of the Variant table row | Viewed by the current user? | Tagged? |
---|
can be dragged-and-dropped.
All the relevant fitting a сompound heterozygous mode of inheritance are presented together. This refers to both confirmed and assumed compound heterozygosity (cases with at least one parent and singleton cases, respectively).
If you want to inspect the complete variant information, click on the variant bar to continue to the . You can visualize evidence in text or graphical format (Click on the interactive text in the top left corner: Show evidence as text or Show evidence graph to toggle between the two).
Hom = Homozygous for alternative allele;
Het = Heterozygous;
Hemi = Hemizygous (X-chromosome variants in males except for heterozygous variants in pseudoautosomal regions);
Ref = Homozygous for reference allele;
No Cov = Genotype unknown.
no | no |
no | by the AI Shortlist |
no | by a user |
yes | no |
yes | by the AI Shortlist |
yes | by a user |
If you would like to update or make corrections your case details, phenotypes or gene list, you have the option to edit the case and save or reanalyze the data.
Open a case,
Press Edit case info button in the top right corner,
You'll access the Add new case flow. You can edit any information on the Family tree screen, as well as Select genes list, Select preset, and Additional case info sections of the Case info screen.
Note: When dealing with delivered cases, only specific data can be modified before initiating reanalysis:
Edits that won't affect the the AI Shortlist analysis, thus won't prompt reanalysis:
Family tree screen:
Clinical Notes,
Patient Ethnicities,
Suspected Disease Severity,
Proband Suspected Disease Condition,
Suspected Disease Penetrance.
Case info screen:
Indication for testing,
Preset.
Edits that will affect the the AI Shortlist analysis, thus will trigger reanalysis:
Family tree screen:
Proband Phenotypes,
Medical Condition.
Case info screen:
Genes list;
Case Type.
⚠️ Any other modifications might result in reanalysis failure, so it's advisable to create a new case instead of modifying beyond these specified fields.
After you've finished editing the case and pressed Next in the Case info screen, a window will pop up:
Select Reanalyze if you want to rerun the case.
The reanalysis will update the annotation with the latest ones available and rerun the AI Shortlist analysis. Since analysis output depends upon the data entered, we highly recommended rerunning the edited case. Case status will change to Reanalysis.
Importantly, variant-level evidence from the first run is erased during reanalysis, EXCEPT for variants tagged by or confirmed by the user.
Please find below a list of variant level evidences saved for variants tagged by the user during reanalysis:
Tag value
Variant interpretation notes
Pathogenicity
Selected transcript
ACMG tags and notes
Sanger and Sanger notes
In addition, at a case level, the checked Presets will be saved as well.
Select Save if you want to save changes without rerunning the case.
Keep in mind that if you've changed Proband phenotypes, results from Phenomatch filters still may change. A reminder that case data has been modified and prompt to launch reanalysis on the updated data will appear in the Case details panel on the right.
With Notes – variants that are accompanied by Variant Interpretation notes. This filter returns all the automatically and manually tagged variants, except those with manually removed Variant Interpretation notes (if any).
Submitted for Sanger confirmation – variants manually assigned as eligible for Sanger sequencing in the Variant page's Evidence section.
Manually added variants - variants added manually on top of the analysis results.
Most Likely – variants tagged as Most Likely by AI Shortlist or by the user.
Candidates – variants tagged as Candidate by AI Shortlist or by the user.
Incidental – variants tagged as Incidental by AI Shortlist or by the user.
Carrier – variants tagged as Carrier by AI Shortlist or by the user.
Not Relevant – variants manually tagged as Not Relevant.
My Tags – variants tagged by the current user.
AI Shortlist (Auto Analysis) - variants tagged by the AI Shortlist.
With Pathogenicity Tag – variants with Pathogenicity manually assigned in the Variant page's Evidence section.
All Disease Associated Genes - variants in the genes with a published disease association;
All Unknown Genes - variants in the genes of unknown clinical significance;
Candidate Genes - variants in a Gene list if defined during case creation;
All ACMG genes - variants in the clinically actionable genes defined by the ACMG:
Versions 30.0+: 81 genes (Miller et al. 2023);
Versions <30.0: 78 genes (Miller et al. 2022).
Cancer Associated Genes - variants in genes with published association with oncological disease;
LoF Genes (Emedgene Knowledgebase 26+) - variants in extremely LoF intolerant genes (gnomAD pLI ≥ 0.9). Note: if a variant is a CNV that overlaps more than one gene, it will appear in the filtering results if at least one of the genes has gnomAD pLI ≥ 0.9);
Established HI/TS Genes (Emedgene Knowledgebase 26+) - variants in genes with sufficient evidence of dosage sensitivity (defined by having ClinGen's Haploinsufficiency and/or Triplosensitivity scores of 3);
Coding regions - variants restricted to the protein-coding sequences.
In Targeted Regions - variants in the regions defined by the Enrichment Kit selected while creating a case.RefSeq coding regions will be used as a reference if no kit is provided.
When Filters are Reset to Default, the Gene Filters remain disabled, except for cases launched in Virtual panel mode of the Gene list. In such a case, the Candidate Genes filter is activated by default.
The Phenomatch Filters highlight variants located in the genes whose phenotypic annotation matches the proband's clinical presentation.
Phenomatch - High Specificity – strictly filters genes with disease phenotypes matching the exact patient HPO phenotypes.
Phenomatch - Powered by AI – filters genes with disease phenotypes loosely matching the patient HPO phenotypes.
Phenomeld (30.0+) - the latest and most refined phenotypic matching model based on Phenomatch - Powered by AI.
Phenomatch with Unknown – filters genes of unknown significance based on indirect links to patient phenotypes (including mouse models, gene families, pathways, etc.).
The Zygosity Filters enable manual selection of zygosity status (Het, Hom, Ref, No Cov) for each sequenced sample in the pedigree.
Note: multiselection and bulk actions are only available in non-finalized cases to maintain data integrity and preserve the finalized case data.
Hover over a variant to reveal a checkbox at the start of the line;
Checking the box exposes the Multiselect actions bar which replaces the Search bar, and checkboxes appear for all variants in the current view;
Manually select variants one by one or check the Select all checkbox. Note: the Select all function applies solely to variants displayed on the current page, not all variants matching the active filters.
Select variants of interest;
In the Multiselect actions bar, click on the Viewed icon and select Viewed or Un-viewed. Note: user-tagged variants can’t be un-viewed.
Select variants of interest;
In the Multiselect actions bar, click on the Tag icon and choose a tag from the dropdown menu. Note: If any variants already possess tags, a warning message will appear. Click on Apply to proceed.
Select variants of interest;
In the Multiselect actions bar, click on the Tag icon, then click on:
Clear to remove user-assigned tags, or
Select variants of interest;
In the Multiselect actions bar, click on the Pathogenicity icon and choose a pathogenicity class from the dropdown menu. Note: only tagged variants can have pathogenicity assigned.
Select variants of interest;
In the Multiselect actions bar, click on the Pathogenicity icon, then click on Clear.
The Evidence page presents the most relevant evidence behind the automatic variant classification suggested by the AI Shortlist.
This view can be generated for any other variant after the variant has been manually tagged.
Click on the variant bar.
Go to the Evidence section and click on the See evidence button under the Evidence box.
You can switch between the graph and text view by clicking on the link on top of the page (Show evidence graph or Show evidence as text, respectively). The graph view is helpful for exploring the data, while the text view is relevant for collecting notes.
AI Shortlist collects data from credible studies and public databases in an internal knowledge base that maps complex connections between variants, genes, mechanisms, diseases, and phenotypes.
The main effect of the variant, its HGVS nomenclature for coding DNA and protein changes, and zygosity, including if the variant is de novo.
Gene symbol, if the gene is tolerant to variation, and assumed inheritance mode in the case under review. This is suggested based on the observed level of genotype-phenotype co-segregation and inheritance mode of the genetic condition (reported or suspected).
In addition to the conventional inheritance modes (Autosomal Dominant, Autosomal Recessive, Compound Heterozygote Autosomal Recessive, X-Linked Dominant, X-Linked Recessive), the platform also employs Autosomal Dominant Partial Penetrance and Partial Autosomal Recessive designations.
Autosomal Dominant Partial Penetrance is used when the gene-associated condition is AD, and the variant is Het in the test subject and at least one of their parents. This suggests that the phenotypes may be due to incomplete penetrance of the genetic condition.
Partial Autosomal Recessive is used when the gene-associated condition is AR and the variant in the test subject is Het. This helps to account for the possibility that another causative variant is undetected - in the same (compound heterozygosity) or another (digenic inheritance) gene.
Condition name as suggested by OMIM, other disease databases or in the literature.
Proband's phenotypes that match phenotypes reported for the suspected disease. Exact, indirect, and matches by ascendance are considered.
Phenotypes reported for the suspected disease but not observed in the proband.
Phenotypes observed in the proband but not known to be manifested as part of the suspected disease.
Follow the links to the primary sources to explore the evidence further. The links are in the References section (text view) and are accessible by hovering over the arrows (graph view).
The evidence graph can be manually edited to include additional evidence for the case's resolution. To enter the edit mode, click on the pencil icon in the top left corner of the page. In this mode, you can edit, add, and delete text boxes.
The Versions tab reports versions of all the tools and resources used during the case analysis in the following categories:
Annotation
Emedgene Resources
Knowledgebase Sources
Organization Local Databases
Population Databases
Variant Databases
Note: These versions remain static from the time a case is run. They are not updated unless a case is reanalyzed.
On the Evidence page, each proband's phenotype is marked according to the degree of similarity to the phenotypes observed in the genetic condition presumably associated with a variant under review.
Same term as in the clinical synopsis of the suspected disease
Phenotypes share a parent term in the HPO hierarchy
Phenotypes are closely related in the HPO hierarchy, but term relatedness is lower than in Match by ascendance
The phenotype is not reported for the suspected disease.
Each phenotypic match strength level is denoted by a particular icon next to the HPO term in the Case info tab of the Case details panel:
The Inheritance Filters allow filtering variants using an assumed inheritance mode that is consistent with the segregation of genotypes and phenotypes in the family.
The Inheritance Filters are primarily relevant for cases with sequencing data for a trio pedigree and less relevant for singletons. For large and complex pedigrees, consider using Zygosity filters that are more flexible.
Autosomal Recessive - Homozygotes. Autosomal variants that are Hom in the Proband and other affected family members (if any) and Het, Ref, or No Cov in the unaffected members.
Autosomal Recessive - Compound Heterozygotes. Two or more autosomal Het variants in the same gene inherited from different parents.
X-Linked Recessive. X-chromosome variants in a male Proband (i.e. Hemi) that are Het in his unaffected mother.
X-Linked Dominant. X-chromosome variants that are Het in affected females in the pedigree.
De Novo Dominant. Autosomal and X-chromosome variants that are Het in the Proband and Ref in parents.
Autosomal Dominant. Autosomal variants that are Het in the Proband and other affected family members but Ref in healthy relatives.
With the Display No Coverage slider, you can control whether to include or exclude variants that are No Cov in Proband or any other sequenced sample in that pedigree.
The finalized case status locks the case to prevent further changes to interpretation notes, ACMG tags, variant tags, pathogenicity and case-level interpretations.
1. On the Individual case page, click on the Case interpretation button located on the top bar.
2. In the Case interpretation widget, indicate the final result of the analysis:
Confidently Solved (Positive),
Likely Solved (Positive),
Further Investigation (Uncertain), or
Unsolved (Negative).
Confidently Solved, Likely Solved, and Further Investigation end-result categories correspond to the Resolved case status supercategory.
Unsolved falls into the Not resolved status supercategory together with all the non-finalized cases.
The indicated case analysis outcomes are used to calculate the diagnostic yield.
3. In the Case interpretation widget, select which tagged variants to include in the Clinical Report (if any). Variants are described at the genomic DNA level.
You have the flexibility to reorder variants by drag-and-drop. The order of variants will be preserved in the Clinical Report within each variant table and/or section, defined by a variant tag and a variant type (e.g. SNVs tagged "In report").
Note: each variant in the Case interpretation widget is denoted at the coding DNA and protein level where applicable, otherwise, it's described at the genomic DNA level.
4. In the Case interpretation widget, you may add Interpretation notes, Gene interpretation, and Recommendations in the free-text format. This data is saved per case. If you’re using our customizable reporting solution, these fields will automatically populate in the Clinical Report.
In Gene Interpretation, you can import gene annotation from Curate (30.0+).
5. To complete the Case interpretation flow, press Save.
6. If you're using Emedgene for reporting, you may want to have a look at the Report Preview before finalizing a case. To do this, click on the eye button located rightmost on the Individual case page Top bar, select a template and click Preview.
You can download the report preview in a .pdf or .odt format.
7. Change Case status to Finalized.
Note: Finalizing a case will prevent users from making further changes to the case. To change information within the case (including variant tags and Variant Interpretation notes, Interpretation notes, Gene interpretation, and Recommendations, finalized variants, case analysis outcome, and Case Info, the case status must be changed from Finalized to another status.
8. To Generate Report, click on the printer button on the Individual case page Top bar, select Create New or choose a previously generated report (if any), then select a template and click Generate.
All the generated reports are saved per case and each can be downloaded in a .pdf or .odt format.
Note: for finalized cases, you can view the Case Result, Interpretation Notes and Finalized Variants in a new Finalize tab in the righthand panel of the case page. Another way to see the variants that were selected when the case was signed off is to select Finalized in the dropdown menu onthe Candidates tab.
highlights the key sample quality indicators, with more details provided in the subsequent sections.
reports sequencing run technicalities as indicated during case creation:
Lab
Instrument
Reagents
Kit type
Expected coverage
Protocol
provides a broad overview of the case quality:
Ensures each chromosome has a minimum of one variant with high quality.
Note: Applies only to chromosomes with at least 100 SNV variants within defined Kit or coding regions.
Ensures each chromosome has a minimum of one variant annotated with GnomAD.
Note: Applies only to chromosomes with at least 100 SNV variants within defined Kit or coding regions.
ClinVar validation
Ensures each chromosome has a minimum of one variant annotated with ClinVar.
Note: Applies only to chromosomes with at least 100 SNV variants within defined Kit or coding regions.
Ensures at least one variant has been tagged by the AI Shortlist.
Note: Not applicable for cases with a gene list below the gene list threshold. The default threshold is set to 50 genes.
Ensures that the mtDNA reference used was rCRS.
highlights metrics for each sample:
Overall sample quality indicator based on the average depth of coverage for the indicated kit (or RefSeq coding regions if no kit is provided), percentage of bases covered >20x, error rate, percentage of reads mapped to the reference sequence, and presence of contamination.
Sex validation (called "gender validation" in versions before 33.0) is performed by comparing the observed homozygous/heterozygous genotype ratio on the X chromosome with the expected ratios for females (<2) and males (>2). Only high-quality Single Nucleotide Variants (SNVs) in the targeted regions specified by the kit (or RefSeq coding regions if no kit is provided) are considered. It is crucial to note that a minimum of 50 variants is required for accurate sex validation. Importantly, if we lack 50 high-quality SNVs, sex validation would not be performed, resulting in an "empty" return. For sample where sex was designated as "unknown" during case creation, the sex validation will present the "predicted" sex.
The DRAGEN Ploidy Estimator detects aneuploidies and determines the sex karyotype in whole genome samples. When the customer hovers their mouse over 'Failed,' they can view the problematic Chromosomes. It's worth mentioning that the 'Failed' notification appears when any of the autosomal median scores are below 0.9 or above 1.1. Learn more about the algorithm in the DRAGEN™ Bio-IT Platform documentation.
Average coverage, bases with coverage >20x, error rate, % mapped reads, etc. Blue bars represent each of these parameters per sample, while a vertical line represents a general metric across all the samples across all the cases in the account.
Detailed QC metrics can be downloaded upon clicking on the download icon next to the section title.
Displays the results of the relatedness check by Peddy.
For each possible pair of samples in a pedigree, the declared family relation is compared with the observed relatedness coefficient. The relatedness coefficient is calculated from the percentage of shared alleles and the size of the Identity By Descent blocks. IBS0 indicates the number of sites lacking shared alleles. This metric can help differentiate between sibling-sibling and parent-child relationships when both are expected to have ~50% relatedness.
When the relatedness coefficient for a parent-child pair or a full sibling pair falls outside the range of 40 to 60%, the relatedness check is considered failed.
If the relatedness coefficient indicates a very low chance of shared ancestry, it is classified as 'Shared Ancestry' (0.2%-4%). For relatedness coefficients that suggest closer genetic ties, it results in 'Consanguinity' (4%-15%). When the genetic similarity reaches a high threshold (>15%), it not only results in 'Consanguinity' but also triggers a warning/ 'Failed' quality.
Here, you can directly check if your genes of interest have been entirely covered. Consider using Sanger sequencing to cover gaps in the genes of interest.
Note: this feature is available only for FASTQ files.
Enter a gene symbol in the search box and select it from the dropdown.
From the Coverage dropdown menu, choose between ≤0x, ≤5x, ≤10x, ≤20x, and ≤All.
You can Download insufficient regions or explore them in the table. Pressing the More details button will open a pop-up window specifying the genomic coordinates of the poorly covered regions.
Simply click the Add Gene List button and select any of your pre-loaded gene lists.
by the maximal depth of coverage and the maximal percentage of bases covered greater than 20x.
Click on More details:
In the pop-up window click on View on IGV:
You can expand to a broader genetic testing option if the results of more targeted testing are inconclusive. You may reflex from Custom Panel to Exome or Genome, or from Exome to Genome.
To do this, you should change the Case type in flow, thereby rerunning using the broader analysis.
Emedgene uses ExpansionHunter by DRAGEN to call short tandem repeats (STR), also known as repeats expansions.
Thirty clinical genes associated with diseases caused by repeat expansion are called in and presented in the platform. Those genes are: AFF2, AR, ATN1, ATXN1, ATXN10, ATXN2, ATXN3, ATXN7, ATXN8OS, C9ORF72, CACNA1A, CBL, CNBP, CSTB, DIP2B, DMPK, FMR1, FXN, GIPC1, GLS, HTT, JPH3, NIPA1, NOP56, PABPN1, PHOX2B, PPP2R2B, RFC1, TBP, TCF4.
Exact sizes of short repeats are identified from spanning reads that completely contain the repeat sequence.
When the repeat length is close to the read length, the size of the repeat is approximated from the flanking reads that partially overlap the repeat and one of the repeat flanks.
If the repeat is longer than the read length, its size is estimated from reads completely contained inside the repeat (in-repeat reads). In-repeat reads anchored by their mate to the repeat region are used to estimate the size of the repeat up to the fragment length. When there is no evidence of long repeats with the same repeat motif elsewhere in the genome, pairs of in-repeat reads can also be used to estimate the size of long (greater-than-fragment-length) repeats.
Note: ExpansionHunter for STR calling is designed for use in PCR-free WGS only. While STR variants might be called in exome cases, the limitations are currently unknown and it is therefore not recommended for use.
In light of our recent experience and an internal investigation by the Illumina’s scientific team, we believe it is appropriate to enable prioritization for a subset of STR loci, but not all loci typed by DRAGEN. This is due to technical genotyping challenges and/or lack of scientific evidence of pathogenicity for the remaining loci. Current list of genes where STR may be tagged when appropriate is provided below:
Not relevant to remove tags assigned by Emedgene's algorithm.
Gene | Associated Condition | Mode of Inheritance | Repeat Unit |
---|
ATXN10 | Spinocerebellar ataxia 10 (SCA10) | Autosomal Dominant | ATTCT |
ATXN8OS | Spinocerebellar ataxia 8 (SCA8) | Autosomal Dominant | CTG |
ATN1 | Dentatorubral-pallidoluysian atrophy (DRPLA) | Autosomal Dominant | CAG |
ATXN1 | Spinocerebellar ataxia 1 (SCA1) | Autosomal Dominant | CAG |
ATXN2 | Spinocerebellar ataxia 2 (SCA2) | Semi-dominant | CAG |
ATXN3 | Spinocerebellar ataxia 3 (SCA3) | Autosomal Dominant | CAG |
ATXN7 | Spinocerebellar ataxia 7 (SCA7) | Autosomal Dominant | CAG |
CACNA1A | Spinocerebellar ataxia 6 (SCA6) | Autosomal Dominant | CAG |
DMPK | Myotonic dystrophy 1 (DM1) | Autosomal Dominant | CTG |
DMPK | Myotonic dystrophy 1, mild | Autosomal Dominant | CTG |
FMR1 | Fragile X tremor/ataxia syndrome (FXTAS) or Premature Ovarian Failure (POF) | X-linked | CGG |
FMR1 | Fragile X Syndrome (FXS) | X-linked | CGG |
HTT | Huntington's disease (HD) | Autosomal Dominant | CAG |
PPP2R2B | Spinocerebellar ataxia 12 (SCA12) | Autosomal Dominant | CAG |
TBP | Spinocerebellar ataxia 17 (SCA17) | Autosomal Dominant | CAG |
C9orf72 | Amyotrophic lateral sclerosis and/or frontotemporal dementia (FTDALS1) | Autosomal Dominant | GGGGCC |
AR | Spinal and bulbar muscular atrophy (SBMA) | X-linked | CAG |
FXN | Friedreich ataxia (FRDA) | Autosomal Recessive | GAA |
CNBP | Myotonic dystrophy 2 (DM2) | Autosomal Dominant | CCTG |
JPH3 | Huntington disease-like 2 (HDL2) | Autosomal Dominant | CTG |
NOP56 | Spinocerebellar ataxia 36 (SCA36) | Autosomal Dominant | GGCCTG |
With Emedgene's reporting solution, creating comprehensive Clinical Reports is a piece of cake.✨ All the relevant case- and variant-level information is automatically populated to the corresponding sections of the report.
Note: Emedgene offers the capability of customizing Clinical Reports upon request. We tailor Report templates for any use case according to your SOPs and aesthetic sense.
Includes (numbers indicate data sources):
Patient details: Patient's name [1], date of birth [2], sex [2] and MRN [1];
Technical sample details: Specimen's type [1] and quality [3], dates collected [1] and received [1];
Provider details: Lab number [1], ordering physician's name [1];
Report date [3];
Case type [2];
Clinical information: Indication for testing [2] or, if it's not available, Proband's phenotypes [2]; Secondary findings requested [2]: Yes/No.
Results summary gives a general overview of the test result:
Test result summary [4];
Secondary ACMG findings summary [4];
Interpretation summary [4];
Recommendations [4].
Detailed results highlight the genetic testing findings:
Basic sequence variant details:
Gene [3],
Genomic location [3],
Variant [3] (HGVS description relative to the transcript selected as a reference in the Clinical Significance section of the Variant Page),
Zygosity/Inheritance [3] (Zygosity in Proband and their relatives),
Classification [6] (Pathogenicity),
Condition [7] (Disease and Inheritance mode if available).
Basic copy number variant details:
Chromosome region [3],
Type: DEL/DUP [3],
Genes [3],
Zygosity/Inheritance [3] (Zygosity in Proband and their relatives),
Minimum length [3],
Classification [6] (Pathogenicity).
Individual sequence variant interpretations:
Basic variant details [3]: gene, genomic location, coding sequence and protein sequence change HGVS notations, exon involved, variant's main effect, Prediction, Conservation and Splice Prediction scores, gnomAD population statistics,
Associated diseases [3] - all the diseases known to be associated with the gene,
Quality [3]: Zygosity, base quality, depth in Proband and their relatives,
Summary [8].
Individual copy number variant interpretations:
Chromosome region [3],
Type: DEL/DUP [3],
Minimum length [3],
Zygosity in Proband [3],
Classification [6] (Pathogenicity),
Summary [8].
Gene interpretation [4]
Test details:
Test methodology [5];
Test limitations [5].
The References [9] section lists all the PubMed citations mentioned in the report. References will be auto-formatted if the PMID is supplied in the report.
The Signatures section documents who and when generated the report [3]
.
After you completed the Case interpretation flow, you may want to have a look at the Report Preview before finalizing a case. To do this, click on the eye button located rightmost on the Individual case page Top bar, select a template and click Preview.
You can download the report preview in a .pdf or .odt format.
After you changed Case status to Finalized, you can Generate Report. All the generated reports are saved per case. Click on the printer button on the Individual case page Top bar, select Create New or choose a previously generated report (if any), then select a template and click Generate.
You can download the report in a .pdf or .odt format.
[1] - API;
[2] - filled in while adding a new case; displayed in Case Info; editable for non-finalized cases;
[3] - automatically inferred by Emedgene,
[4] - filled in in the Case Interpretation widget while finalizing the case,
[5] - fixed text,
[6] - manually assigned in the Pathogenicity box of the Evidence section of the Variant Page,
[7] - depends on the evidence generated on the Evidence page,
[8] - automatically or manually filled in in the Variant Interpretation notes of the Evidence section of the Variant Page,
[9] - in any of the free text fields you can add PMIDs in one of the following formats: PMID1234, PMID 1234, PMID:1234.