Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets

Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets

Abstract Genetic mechanisms of blood pressure (BP) regulation remain poorly defined. Using kidney-specific epigenomic annotations and 3D genome information we generated and validated gene expression prediction models for the purpose of transcriptome-wide association studies in 700 human kidneys. We...

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Main Authors: Xiaoguang Xu, Chachrit Khunsriraksakul, James M. Eales, Sebastien Rubin, David Scannali, Sushant Saluja, David Talavera, Havell Markus, Lida Wang, Maciej Drzal, Akhlaq Maan, Abigail C. Lay, Priscilla R. Prestes, Jeniece Regan, Avantika R. Diwadkar, Matthew Denniff, Grzegorz Rempega, Jakub Ryszawy, Robert Król, John P. Dormer, Monika Szulinska, Marta Walczak, Andrzej Antczak, Pamela R. Matías-García, Melanie Waldenberger, Adrian S. Woolf, Bernard Keavney, Ewa Zukowska-Szczechowska, Wojciech Wystrychowski, Joanna Zywiec, Pawel Bogdanski, A. H. Jan Danser, Nilesh J. Samani, Tomasz J. Guzik, Andrew P. Morris, Dajiang J. Liu, Fadi J. Charchar, Human Kidney Tissue Resource Study Group, Maciej Tomaszewski
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-46132-y

Internet

https://doi.org/10.1038/s41467-024-46132-y

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