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← brief for 2026-08-31 · Slowing decline

Integrating machine learning and GWAS for variant prioritization in the INCIPE cohort highlights ABC transporter genes in chronic kidney disease

Paper C Peer reviewed Observational

Key takeaways

Researchers studied the genes of people in a long-running Italian health study and used computer models to pick out which gene changes line up with chronic kidney disease. A family of genes called ABC transporters, which pump waste and drugs in and out of cells, stood out. This is an observational study, so it shows a link, not proof that these genes cause kidney disease. Nothing here changes treatment today.

Who did this work

Dagnogo Dramane (University of Verona) · Mirko Treccani (University of Verona) · Laura Veschetti (Vita-Salute San Raffaele University) · N’Guessan Benedicte Sonia Koffi (University of Verona) · Cristina Patuzzo (University of Verona) · Pietro Manuel Ferraro (Azienda Ospedaliera Universitaria Integrata Verona) · Giovanni Gambaro (Azienda Ospedaliera Universitaria Integrata Verona) · Dago Dougba Noël (Université Pelefero Gon Coulibaly) · Giovanni Malerba (University of Verona)

Source

Paper · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-08-30
https://doi.org/10.3389/fgene.2026.1902866