OMIM Coming to VarSeq

· Gabe Rudy · News, Events, & Announcements

When it comes to down to it, the genomic variants we collect in a research and clinical setting are impossible to interpret without that important link of how genes are related to phenotypes.

Indisputably, the Johns Hopkins project to catalog all evidence related to inheritable Mendelian diseases is our best repository of this evidence.

Online Mendelian Inheritance in Man (OMIM) was founded in the ‘60s by the pioneering geneticist Dr. Vic McKusick at Johns Hopkins with the bold aim to be a full-text, comprehensive reference of all scientific evidence on the relationship between phenotype and genotype.

In our upcoming release of VarSeq, OMIM will be an add-on annotation source and will be deeply integrated with our soon-to-be-announced platform for generating clinical reports.

The OMIM Power Up

OMIM is tracking a fast moving target: all human knowledge on how genes function in humans.

With committed directorship of Dr Ada Hamosh (a name you will quickly be familiar with if looking at each page’s contributors list), OMIM is getting updated on a day to day basis with new literature, cross-references and hand-written descriptions and interpretations of genes, phenotypes and variants.

If you have noticed OMIM/MIM links in VarSeq or GenomeBrowse already, you are picking up on the prolific linkage other annotations sources provide to this canonical resource.

With the careful curation of the OMIM resource at the Phenotype, Gene and Variant level, the following descriptive and filterable data points will be joinable to your imported variants:

  • Functional description of genes and phenotypes ready for physicians to orient themselves
  • Lists of phenotypes linked to genes with supporting evidence and modes of inheritance of the phenotype (autosomal dominant, etc.)
  • Paper references with relevant PubMed and direct URLs
  • Links to clinical relevant genetic resources such as testing guidelines, ontology and gene test registries
  • Descriptive interpretations for variants curated from published papers with family and disease context

For example, in this TruSight Cardio gene panel, I added a filter on the diseases linked to the gene and focused in on those shown to be linked to Cardiomyopathy.

Filter on OMIM Disease

We will soon be posting about our plans to provide a flexible and powerful platform for authoring and generating clinical reports for lab test providers to use right within VarSeq.

With the full depth of the OMIM database linked in, we can provide very rich gene and phenotype clinical descriptions, variant interpretations and enumerated paper references for the variants selected to include in the report.

7 Comments

    1. Hi Matt,

      Currently OMIA isn’t available in a user-friendly format, but if they put it into a more easily accessible format then we would certainly curate it and provide it to our users. So hopefully that is something on their to do list!

Leave a comment

Gabe Rudy

About Gabe Rudy

Gabe Rudy is the Vice President of Product and Engineering at Golden Helix, where for over two decades he has led the development of clinically validated software solutions that power precision medicine worldwide. Under his leadership, Golden Helix has delivered a suite of best-in-class tools for genomic analysis, including CNV calling, pharmacogenomics, carrier screening, and somatic variant interpretation. These solutions are designed for flexible deployment across on-premises, private cloud, and managed cloud environments, and are used by organizations ranging from small diagnostic teams to large clinical laboratories and even national-scale genomic initiatives. With a background in Computer Science and graduate work in compiler optimization and high-performance computing, Gabe brings a unique blend of software architecture expertise and deep domain knowledge in genomics. Since 2006, he directed product strategy and engineering at Golden Helix, ensuring the company stays at the forefront of innovation while maintaining the highest standards of usability, scalability, and quality. Gabe is an active participant in the genomics community, regularly presenting on topics such as NGS best practices, variant interpretation workflows, and the integration of AI into clinical diagnostics. His work has supported thousands of labs across the globe in the adoption of robust, intuitive, and clinically actionable bioinformatics workflows. Based in Bozeman, Montana, Gabe balances his passion for advancing precision medicine with family life and a love for the outdoors.

View all posts by Gabe Rudy →