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Our Work

Human genetics has the power to transform drug development

There is a pressing need for new ways to treat disease, but drug development has become increasingly difficult due to high costs and failure rates. Insights from human genetics allow us to identify the basis and resistance of disease, making an ideal match for drug discovery.


Global Partnership Network

Genetic studies are only as informative as the people in them. Variant Bio combines anthropology, epidemiology, and genetics to identify relevant groups to partner with. We focus on exceptional health-related traits and populations with rare genetic variants that rise to high frequency.

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Rich Data

Deep phenotyping, whole genome sequencing, and paired multi-omic data are generated to fully characterize participants and identify the molecular mechanisms underlying traits. Data are structured and harmonized across studies to enable downstream meta-analyses and comparison to external resources.


From Genomes to Targets

Our VB-Inference platform integrates the genome with multi-omics to identify targets and establish causation not correlation. Machine learning and generative AI are used to derive molecular signatures of disease and summarize across vast amounts of data to uncover therapeutic hypotheses.

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Improving Health

We focus on therapeutic areas with commercial opportunity and unmet need where our platform and data can provide unique insights. These include but are not limited to kidney, liver, metabolic, and inflammatory diseases.

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Our research is powered by a global network of partners

We’re focused on working with populations and cohorts that have never before participated in genomic research at scale, allowing us access to data with the greatest potential for novel discovery.

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Research & Development

Studies are powered to identify broad disease-relevant phenotypes, with particular focus on fibrotic, inflammatory, liver, and kidney diseases. Targets with strong human genetics are at the foundation of our biology and drug discovery pipeline.

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