Prioritizing genes for kidney function decline in the population and high-risk groups (C06)

• Subject Area: Nephrology ; Epidemiology and Medical Biometry/Statistics
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 509149993

We will develop methodology for GWAS that is applicable for meta-analyses across numerous longitudinal GWAS. Based on our collaborations within the CKDGen Consortium, we will conduct such longitudinal GWAS for kidney function trajectories to identify and characterize genetic association loci for kidney function decline. We will also conduct genome-wide interaction studies to identify genetic effects on kidney function that are modulated by sex, age, diabetes status or obesity status. We will evaluate advanced methodological post-GWAS approaches for fine-mapping and annotation and develop an extended GenePrioritiSation (GPS-XL) for kidney function and kidney function decline integrating effective advanced methodology for post-GWAS, larger GWAS data, and genetic evidence across multiple kidney function biomarkers.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 374: Tubular system and interstitium of the kidney: (Patho-)physiology and crosstalk
• Applicant Institution: Universität Regensburg
• Project Head: Professorin Dr. Iris M. Heid