Nature Communications (Nov 2018)

Molecular insights into genome-wide association studies of chronic kidney disease-defining traits

  • Xiaoguang Xu,
  • James M. Eales,
  • Artur Akbarov,
  • Hui Guo,
  • Lorenz Becker,
  • David Talavera,
  • Fehzan Ashraf,
  • Jabran Nawaz,
  • Sanjeev Pramanik,
  • John Bowes,
  • Xiao Jiang,
  • John Dormer,
  • Matthew Denniff,
  • Andrzej Antczak,
  • Monika Szulinska,
  • Ingrid Wise,
  • Priscilla R. Prestes,
  • Maciej Glyda,
  • Pawel Bogdanski,
  • Ewa Zukowska-Szczechowska,
  • Carlo Berzuini,
  • Adrian S. Woolf,
  • Nilesh J. Samani,
  • Fadi J. Charchar,
  • Maciej Tomaszewski

DOI
https://doi.org/10.1038/s41467-018-07260-4
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 12

Abstract

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The molecular mechanisms that underlie associations in GWAS, incl. chronic kidney disease (CKD), are largely unknown. Here, the authors perform an integrative analysis of genetic, transcriptomic and epigenomic data from human kidney to pinpoint plausible molecular pathways of CKD genetic associations.