Food for thought from ASHG 2022: Affordable, comprehensive, and accessible variant analysis and interpretation with the SOPHiA DDM™ Platform

Published on 11/15/2022

10 min read

Did you miss our ASHG symposium? Don’t fret! Read our recap of how renowned genomic experts saved time, reduced costs, and improved the yield of their hereditary cancer and rare disease workflows using SOPHiA DDM™ combined with Alamut™ Visual Plus.
ASHG-2022

At the American Society of Human Genetics (ASHG) Annual Meeting this year, our esteemed speakers shared the ins and outs of how the SOPHiA DDM™ Platform, in combination with Alamut™ Visual Plus, adapted to their laboratories’ needs to provide sample-to-report workflows that streamlined the identification and interpretation of nuclear and mitochondrial variants associated with rare and inherited diseases, including hereditary cancers.

All SOPHiA GENETICS™️ products discussed in this article are for Research Use Only – not for use in diagnostic procedures. SOPHiA GENETICS™ does not facilitate and does not accept any liability for any validation of SOPHiA GENETICS™ products for clinical use by a third party.

Screening for genetic variants in hereditary cancer syndromes using the end-to-end SOPHiA DDM™ workflow

Mark Williams, FHGSA – Chief Scientist at Genomic Diagnostics, Heidelberg, Victoria, Australia

Speaker Mark Williams began his talk by highlighting that a key goal of the Genomic Diagnostics lab is to facilitate equal access to hereditary cancer testing. To do this, the lab set multiple criteria that were highly important to them when developing a new hereditary cancer application. Employing the complete SOPHiA GENETICS™ workflow for Hereditary Cancer allowed the team at Genomic Diagnostics to successfully meet these testing criteria.

In collaboration with Genomic Diagnostics, the custom SOPHiA DDM™ Hereditary Cancer application was designed to include genes that align with current practice guidelines. It was important to the lab that the pipeline could detect SNVs, Indels, and copy number variations (CNVs) in a single workflow. Mark confirmed that the resultant application effectively detects CNVs and is scalable, with turnaround times that meet their needs, even with testing volumes increasing year-on-year. In addition, the solution provides high-quality, consistent results, a full record of curation, visualization of BAM files, and is easily accessible and usable by all laboratory staff.

Like numerous other SOPHiA GENETICS™️ customers, Mark concluded that the SOPHiA DDM™ Platform offers a robust, automated, and secure bioinformatics pipeline that meets Australia’s privacy regulations. In addition, the software is extremely user-friendly, from its visual interface to the detailed QC metrics, annotation information, and links to databases. All laboratory personnel can effectively use the end-to-end solution, even without prior bioinformatics expertise.

The integrated workflow and affordable price allowed Genomic Diagnostics to expand access to the custom SOPHiA DDM™ Hereditary Cancer application (see chart), meeting Genomic Diagnostics’ goal of facilitating equal access to hereditary cancer testing.

Increasing access to hereditary cancer genomic testing over time
Figure sourced from Mark Williams’ presentation

The custom SOPHiA DDM™ Hereditary Cancer Application provides affordable, accessible, and quality genetic testing.

Streamlining clinical implementation of hereditary cancer analysis and reporting with a custom application

Hong Wang, PhD, FCCMG, FACMG, DABMGG Laboratory Geneticist at North York General Hospital, Toronto, Ontario, Canada
Andrea Vaags, PhD, FCCMG Discipline Co-Lead and Laboratory Geneticist at Trillium Health Partners – Credit Valley Hospital, Mississauga, Ontario, Canada

Drs Wang and Vaags provided a step-by-step overview of how they developed a brand new hereditary cancer panel to meet the Ontario Health – Cancer Care Ontario criteria for hereditary cancer testing.

Laboratory and clinical working groups were established to evaluate evidence and identify key genes and non-coding variants to include in a cutting-edge custom hereditary cancer panel. Furthermore, genetic testing eligibility criteria were co-developed with the Hereditary Cancer Clinical Eligibility Working Group. The laboratory working group used an evidence-based framework to design a standardized 76-gene panel, organized into 13 larger disease site-linked panels, and 25 single/small gene panels. After designing the panel, the Ontario group worked with SOPHiA GENETICS™ to expeditiously develop and implement the custom SOPHiA DDMTM Hereditary Cancer application in academic community hospitals (see timeline).

Timeline of SOPHiA DDM™ Hereditary Cancer panel implementation in Ontario hospitals
Figure sourced from the Ontario hospital responsible for validating this product

Thanks to the streamlined end-to-end SOPHiA GENETICS™ workflow, hereditary cancer testing approximately doubled, according to Dr Vaags.

Implementing the custom automated SOPHiA GENETICS™ Hereditary Cancer Testing workflow saved 8 hours hands-on time for wet work, and 13 hours hands-on time for data analysis and reporting.

The workflow for each batch of 70 samples (plus one control) in the Ontario group laboratories, consists of DNA preparation, automated 3-day library preparation using the SOPHiA GENETICS program on the Hamilton STARlet, and sequencing on a NextSeq® 550 using mid-output. Sequencing data are automatically uploaded to the SOPHiA DDM™ cloud for processing ahead of analysis. For additional time savings, genes requiring special consideration due to the presence of pseudogenes are flagged with a warning in the SOPHiA DDM™ Platform and the SOPHiA GENETICS™ support team is on hand to answer queries on unusual findings. The cloud-based software for data management enables the laboratories to streamline data access, storage, and archiving back-up. Dr Wang shared that the time saved through this workflow has been instrumental in maintaining turnaround times, especially with significant understaffing during challenging periods.

By applying Virtual Panels and custom filters, the teams can analyze from as little as a single variant to as many as 76 genes using a single workflow. The high analytical sensitivity and specificity enable the laboratories to pick up unusual findings, such as Alu insertions, Boland inversions, and low-level mosaicism of copy number changes. And finally, the one-step secondary and tertiary analysis for concurrent detection of SNVs and CNVs allows the teams to significantly speed up their analysis, and the pseudogene pipeline enables the laboratories to minimize reflex testing. In summary, the custom SOPHiA DDM™ Hereditary Cancer application provides the Ontario laboratories with a one-size-fits-all solution.

Exome sequencing with combined mitochondrial genome sequencing for the detection of nuclear and mitochondrial DNA variants

Jessica Van Ziffle, PhD, FACMG Associate Clinical Professor, Pathology at University of California, San Francisco, California, United States

In the Pathology laboratory at the University of California, the proportion of positive/probably positive variants detected in pediatric and prenatal cases analyzed using the SOPHiA DDM™ Custom Whole Exome Solution (optimized for the Illumina NovaSeq 6000) was consistent with the literature (see charts). Approximately 70% of the positive pediatric cases were associated with autosomal dominant inheritance. Most reported variants were missense single nucleotide variants (SNVs), with the positive cases fairly equally split between frameshift, nonsense, and missense variants.

Proportion of positive/probably positive findings for pediatric and prenatal exome cases
Figure sourced from Jessica Van Ziffle’s presentation

With the goal of increasing the proportion of positive findings, Jessica and the team at UCSF explored what additional variants could be identified by exome sequencing to potentially solve the ∼10% of inconclusive cases and ∼65% of negative cases. First, the team investigated the impact of calling copy number variants (CNVs), specifically contiguous gene changes, whole gene changes, and exon-level changes. UCSF worked closely with SOPHiA GENETICS™ to optimize their exome sequencing to ensure high and even coverage for accurate CNV detection, and indeed doubled their sequencing depth to 80M reads to ensure the sensitive detection of CNVs 1-2 exons in size.

Next, UCSF wanted to be able to simultaneously call variants in mitochondrial DNA, which is especially relevant for metabolic diseases. Different cell types have different numbers of mitochondria, and each mitochondrion has its own genome that can have different variants in it (heteroplasmy). The UCSF team, therefore, wanted to assess the lower limit of detection for mitochondrial heteroplasmy through a mixing study, which concluded that exome testing could detect variants down to 5% variant allele fraction with high sensitivity.

In conclusion, the custom SOPHiA DDM™ workflow for exome sequencing successfully increased positive/probable positive findings at UCSF to 25-30% by integrating both CNV and mitochondrial variant detection.

We thank all our speakers for sharing their research stories at our ASHG symposium this year. We’re delighted to hear how their integrated SOPHiA DDM™ workflows are reducing workloads, expanding access, and continuing to discover new variants associated with rare diseases and hereditary cancers.

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