Chronic kidney diseases (CKD) have genetic associations with kidney function. Univariate genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with estimated glomerular filtration rate (eGFR) and blood urea nitrogen (BUN), two complementary kidney function markers. However, it is unknown whether additional SNPs for kidney function can be identified by multivariate statistical analysis.

Read the full publication to learn how the team utilized multivariate analysis by canonical correlation analysis for the identification of additional single nucleotide polymorphisms and genes for kidney function and chronic kidney diseases.

_Affiliations

_{1 Intelligent Systems Laboratory, University of Bristol, Bristol, BS8 1TW, UK. amy.osborne@bristol.ac.uk.}

_{2 Bristol Renal, University of Bristol and Bristol Royal Hospital for Children, Bristol, BS1 3NY, UK.}

_{3 Department of Metabolic and Renal Diseases, Evotec International GmbH, Marie-Curie-Strasse 7, 37079, Göttingen, Germany.}

_{4 Department of Renal Medicine, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Stott Lane, Salford, M6 8HD, UK.}

_{5 Centre for Kidney Research and Innovation, University of Nottingham, Derby, UK.}

_{6 Intelligent Systems Laboratory, University of Bristol, Bristol, BS8 1TW, UK. c.campbell@bristol.ac.uk.}