The Human Genetics Amplifier (HuGeAMP) is a software platform and infrastructure that aggregates, integrates, and analyzes human genetic and genomic data to spark insights into complex diseases.

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The Knowledge Portal Network (KPN) is an ecosystem of interconnected web portals that facilitate innovative and intuitive analysis and visualization of biomedical data.
BYOR.SCIENCE

The Bring Your Own Results (BYOR) service is an open-access platform that allows researchers to upload, visualize, analyze, and share their results.  Visit BYOR.SCIENCE

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results
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Front page 2022

Knowledge Portal Network

Skin Knowledge Portal
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Aging Knowledge Portal
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Association to Function Knowledge Portal
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Vision Genomics Portal
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Kidney Disease Knowledge Portal
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Autoimmune Disease Knowledge Portal
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Ocular Knowledge Portal
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Reproductive System Knowledge Portal
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Sleep Disorder Knowledge Portal
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Type 1 Diabetes Knowledge Portal
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Type 2 Diabetes Knowledge Portal
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Cardiovascular Disease Knowledge Portal
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Cerebrovascular Disease Knowledge Portal
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Common Metabolic Diseases Knowledge Portal
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Lipid Droplet Knowledge Portal
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Lung Disease Knowledge Portal
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Musculoskeletal Knowledge Portal
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Neurodegenerative Disease Knowledge Portal
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Non-Additive Genetic Effects Knowledge Portal
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Collaborate on methods
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Collaborate to create a new Knowledge Portal
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BYOR Data Pages and Portals

Rare variants with large endophenotype-derived effect sizes
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Vision Genomics Portal
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The APOL1 Portal
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Catalog of vQTLs and GxEs for cardiometabolic biomarkers
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Genetic Loci Clustering
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Curated T2D effector gene predictions
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Broad CVDI Human Disease Portal
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Effector index predictions
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Integrated Classifier T2D effector predictions
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Contribute results
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Create your own Research Page or Research Portal
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What's new

May 2026 CFDE Webinar Recording Now LIVE

Unable to join today's CFDE Public Webinar Series featuring Illuminating the Druggable Genome?

The recording is now LIVE: https://youtu.be/PD1os4n7d7w

Please feel free to forward to interested colleagues!

Join our June 15th, 2026, virtual roundtable with the NIH’s All of Us Research Program

Study diabetes at scale using genomic, EHR, survey, and wearable data from 633,000+ All of Us participants.

Unmasking better strategies for rare-variant association studies

The strategies scientists use to “mask,” or group, rare coding variants for association to traits are inconsistent, according to new work led by Trang Nguyen, Jason Flannick, and others.

Headed to ADA 2026?

Visit the Knowledge Portal Network at Exhibition Booth #2324 | NIDDK Scientific Corner!