POS-421 KIDNEYNETWORK: A NEW METHOD TO PREDICT KIDNEY DISEASE GENES USING KIDNEY DERIVED GENE EXPRESSION DATA IDENTIFIES A NEW CANDIDATE GENE FOR MILD ADPKD / PCLD

F. Boulogne, L. Claus, H. Wiersma, F. Schukking,N. de Klein, S. Li,H.J. Westra,P. Deelen, N.V.A.M. Knoers,A.M. van Eerde,L. Franke

Kidney International Reports(2021)

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Abstract
Genetic testing of patients with suspected hereditary kidney disease using exome-based panel sequencing can reveal pathogenic variants in kidney-related genes. However, we are still faced with unsolved cases. Potentially harmful variants can reside in other genes that are either not annotated for kidney disease or in genes of unknown function. This makes it difficult to prioritize and interpret the relevance of variants in these genes for kidney diseases. As such, there is a clear need for methods that predict the phenotypic consequences of gene expression in a way that is as unbiased as possible.
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Key words
kidneynetwork disease genes,mild adpkd,new candidate genes
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