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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Front page 2022

Knowledge Portal Network

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

We are thrilled to announce the public launch of the Common Fund Data Ecosystem (CFDE) Knowledge Center, available at cfdeknowledge.org. 
Today's CMDKP Spotlight focuses on Julie Jurgens, a new member of the Knowledge Portal team, the Scientific Communication and Curation Manager for the Knowledge Portals at The Broad Institute of MIT and Harvard.
Materials from our community workshop on standards and infrastructure for predicted effector gene (PEG) lists are now available in a public Google drive.
Did you know that predictions of effector genes for multiple diseases and traits are available via our Predicted Effector Genes Knowledge Portal, PEGKP?