Association of Genetically Predicted Skipping of COL4A4 Exon 27 with Hematuria and Albuminuria

Frida Lona-Durazo, Kohei Omachi, Damian Fermin, Felix Eichinger, Jonathan P. Troost, Meei Hua Lin, Ian R. Dinsmore, Tooraj Mirshahi, Alexander R. Chang, Jeffrey H. Miner, Andrew D. Paterson, Moumita Barua, Sarah A. Gagliano Taliun

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background Hematuria is an established sign of glomerular disease and can be associated with kidney failure, but there has been limited scientific study of this trait. Methods Here, we combined genetic data from the UK Biobank with predicted gene expression and splicing from Genotype Tissue Expression kidney cortex samples (n=65) in a transcriptome-wide association study to identify additional potential biological mechanisms influencing hematuria. Results The transcriptome-wide association study using kidney cortex identified significant associations for five genes in expression and three significant splicing events. Notably, we identified an association between the skipping of COL4A4 exon 27, which is genetically predicted by intronic rs11898094 (minor allele frequency 13%), and hematuria. Association between this variant was also found with urinary albumin excretion. We found independent evidence supporting the same variant predicting this skipping event in glomeruli-derived mRNA transcriptomics data (n=245) from the Nephrotic Syndrome Study Network. The functional significance of loss of exon 27 was demonstrated using the split NanoLuc-based a3a4a5(IV) heterotrimer assay, in which type IV collagen heterotrimer formation was quantified by luminescence. The causal splicing variant for this skipping event is yet to be identified. Conclusions In summary, by integrating multiple data types, we identified a potential splicing event associated with hematuria and albuminuria.

Original languageEnglish
Pages (from-to)48-59
Number of pages12
JournalJournal of the American Society of Nephrology
Volume36
Issue number1
DOIs
StatePublished - Jan 1 2025

Keywords

  • human genetics
  • kidney disease
  • transcription regulation

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