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Prediction of human missense variant effects from functional evidence
Abstract Prediction of missense variant effects remains a critical bottleneck in both research and diagnostic genetics. Current predictors typically rely on clinical outcomes or population patterns rather than direct measures of functional impact, leading to limited generalizability and data circularity. Here we present FuncVEP, a family of variant effect predictors trained on diverse functional data to predict the functional impact of missense variants.
Inherited burden for disease predisposition in diverse populations - npj Genomic Medicine
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Abstract We leveraged allele frequencies from gnomAD, Regeneron Genetics Center Million Exome and Turkish Variome for 4591 disease genes from PanelApp and OMIM, and identified 97,135 pathogenic and 478,263 likely pathogenic variants using an American College of Medical Genetics and Genomics-based classifier. This expanded pathogenic and likely pathogenic variants nearly six-fold.
By Barış Kayaalp, Meltem Ece Kars, Yuval Itan, Ayse Basak, Jean-Laurent Casanova Verified, Tayfun Özçelik
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Nature
Verified
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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Barış
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