Review of Emerging 2018 Genomic Variants – a Genomenon Research Report

2018 has been another banner year in the progression of Precision Medicine! Year over year, there has been a dramatic rise in the number of scientific studies and initiatives that resulted in meaningful published findings, and 2018 was another record-breaker. To demonstrate trends in genetics and genomics research seen through the lens of scientific publications, the Genomenon team mined the genomics data aggregated in Genomenon’s Mastermind Genomic Search Engine to reflect on these trends.

Genomenon’s Mastermind Genomic Search Engine has indexed the full text of millions of genomic articles and supplemental data to provide immediate insight into the published research for every disease, gene, and mutation found in the literature. Mastermind is used by hundreds of diagnostic labs around the world to accelerate genomic interpretation and by pharmaceutical companies in drug discovery for its comprehensive genomic landscape of every disease.

New Genomic Insights Indicate an Emergence of Drug Resistance in Cancer and Focus on Rare Disease Research

Aggregating the granular genomics data allowed us to see the bigger-picture patterns that emerged.

  • 2017 findings: Newly-emergent variants were predominantly associated with cancer and research was predominantly focused on resistance mechanisms or the development of new therapeutics.
  • 2018 findings: A continued trend of studies and new discoveries detailing drug resistance mechanisms, with several of the previously identified emerging variants re-appearing on the list of the top 300 newly discovered variants; an increasing number of emergent variants were found in non-cancer diseases. Notable results are summarized in Tables 1 and 2.

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Genomenon’s Automated Genomic Search Engine Mastermind Illuminates Current Trends in Genomic Literature – A Look at the Top Cited Variants Across the Scientific Literature

For this month’s “Company Spotlight” blog series we are taking a deeper look at Mastermind, an automated genomic search engine created by Genomenon, a University of Michigan spin-off. Mastermind, a comprehensive database of genomic disease-to-gene-to-variant associations, supports its users to search through millions of full text articles from the primary medical literature to identify variants of interest, prioritize them, and retrieve relevant articles for disease-gene-variant combinations. Rather than providing a regular Q&A with a company representative, we thought of illustrating the richness of Mastermind’s content and the associated functionalities via the retrieval of interesting citation data, as provided by Mark Kiel (CSO and co-Founder at Genomenon) and Lauren Chunn (Data Processing Intern at Genomenon). Specifically, the Genomenon team supplied a current trends analysis of widely cited variants within the genomic literature. Through this process they are able to paint a picture of the changing landscape of genomic research and medicine, from variants that have remained a common feature for decades to newly emerging variants over the last few years.

Genomenon is a 15 person company, headquartered in Ann Arbor, Michigan, and founded in 2014. To date, Genomenon has received $4.5M in funding (Angel, Venture investment and NIH SBIR Fast Track Grant), and has grown to become an independent company.

Mastermind is a genomic search engine comprising an index of titles, abstracts, and full text including figures and tables of 5.7 million prioritized primary articles. New Continue reading