Objects
Xu, Xiaoguang, Eales, James, Akbarov, Artur, Guo, Hui, Becker, Lorenz, Talavera, David, Ashraf, Fehzan, Nawaz, Jabran, Pramanik, Sanjeev, Bowes, John, Jiang, Xiao, Dormer, John, Denniff, Matthew, Antczak, Andrzej, Szulinska, Monika, Wise, Ingrid, Prestes, Priscilla, Glyda, Maciej, Bogdanski, Pawel, Zukowska-Szczechowska, Ewa, Berzuini, Carlo, Woolf, Adrian, Samani, Nilesh, Charchar, Fadi, Tomaszewski, Maciej. Nature Research; 2018. Molecular insights into genome-wide association studies of chronic kidney disease-defining traits.
Rowland, Joshua, Akbarov, Artur, Eales, James, Xu, Xiaoguang, Dormer, John, Guo, Hui, Denniff, Matthew, Jiang, Xiao, Ranjzad, Parisa, Nazgiewicz, Alicja, Prestes, Priscilla, Antczak, Andrzej, Szulinska, Monika, Wise, Ingrid, Zukowska-Szczechowska, Ewa, Bogdanski, Pawel, Woolf, Adrian, Samani, Nilesh, Charchar, Fadi, Tomaszewski, Maciej. Elsevier B.V.; 2019. Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics.
Marques, Francine, Romaine, Simon, Denniff, Matthew, Eales, James, Dormer, John, Garrelds, Ingrid, Wojnar, Lukasz, Musialik, Katarzyna, Duda-Raszewska, Barbara, Kiszka, Bartlomiej, Duda, Magdalena, Morris, Brian, Samani, Nilesh, Danser, Jan, Bogdanski, Pawel, Zukowska-Szczechowska, Ewa, Charchar, Fadi, Tomaszewski, Maciej. Feinstein Institute for Medical Research; 2015. Signatures of miR-181a on the renal transcriptome and blood pressure.
Xu, Xiaoguang, Khunsriraksakul, Chachrit, Eales, James, Rubin, Sebastien, Scannali, David, Saluja, Sushant, Talavera, David, Markus, Havell, Wang, Lida, Drzal, Maciej, Maan, Akhlag, Lay, Abigail, Prestes, Priscilla, Regan, Jeniece, Diwadkar, Avantika, Denniff, Matthew, Rempega, Grzegorz, Ryszawy, Jakub, Król, Robert, Dormer, John, Szulinska, Monika, Walczak, Marta, Antczak, Andrzej, Matías-García, Pamela, Waldenberger, Melanie, Woolf, Adrian, Keavney, Bernard, Zukowska-Szczechowska, Ewa, Wystrychowski, Wojciech, Charchar, Fadi. Nature Research; 2024. Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets.