Genome-Wide Association Study of CKD Progression.

Jacklyn N Hellwege, Adriana M Hung, T Alp Ikizler, Edward D Siew, Loren Lipworth, Cecilia P Chung, Michael E Matheny, Alexander Bick, J Michael Gaziano, Philip S Tsao, Ran Tao, Otis D Wilson, Neil S Zheng, Hua C Chen, Jing He, Bryce Rowan, Jefferson L Triozzi, Cassianne Robinson-Cohen, Wei-Qi Wei

Journal: Journal of the American Society of Nephrology : JASN 2023;34(9):1547-1559

PMID: 37261792

Abstract

[{"label":"SIGNIFICANCE STATEMENT","text":"Rapid progression of CKD is associated with poor clinical outcomes. Most previous studies looking for genetic factors associated with low eGFR have used cross-sectional data. The authors conducted a meta-analysis of genome-wide association studies of eGFR decline among 116,870 participants with CKD, focusing on longitudinal data. They identified three loci (two of them novel) associated with longitudinal eGFR decline. In addition to the known UMOD\/PDILT locus, variants within BICC1 were associated with significant differences in longitudinal eGFR slope. Variants within HEATR4 also were associated with differences in eGFR decline, but only among Black\/African American individuals without diabetes. These findings help characterize molecular mechanisms of eGFR decline in CKD and may inform new therapeutic approaches for progressive kidney disease."},{"label":"BACKGROUND","text":"Rapid progression of CKD is associated with poor clinical outcomes. Despite extensive study of the genetics of cross-sectional eGFR, only a few loci associated with eGFR decline over time have been identified."},{"label":"METHODS","text":"We performed a meta-analysis of genome-wide association studies of eGFR decline among 116,870 participants with CKD-defined by two outpatient eGFR measurements of <60 ml\/min per 1.73 m 2 , obtained 90-365 days apart-from the Million Veteran Program and Vanderbilt University Medical Center's DNA biobank. The primary outcome was the annualized relative slope in outpatient eGFR. Analyses were stratified by ethnicity and diabetes status and meta-analyzed thereafter."},{"label":"RESULTS","text":"In cross-ancestry meta-analysis, the strongest association was rs77924615, near UMOD \/ PDILT ; each copy of the G allele was associated with a 0.30%\/yr faster eGFR decline ( P = 4.9\u00d710 -27 ). We also observed an association within BICC1 (rs11592748), where every additional minor allele was associated with a 0.13%\/yr slower eGFR decline ( P = 5.6\u00d710 -9 ). Among participants without diabetes, the strongest association was the UMOD\/PDILT variant rs36060036, associated with a 0.27%\/yr faster eGFR decline per copy of the C allele ( P = 1.9\u00d710 -17 ). Among Black participants, a significantly faster eGFR decline was associated with variant rs16996674 near APOL1 (R 2 =0.29 with the G1 high-risk genotype); among Black participants with diabetes, lead variant rs11624911 near HEATR4 also was associated with a significantly faster eGFR decline. We also nominally replicated loci with known associations with eGFR decline, near PRKAG2, FGF5, and C15ORF54."},{"label":"CONCLUSIONS","text":"Three loci were significantly associated with longitudinal eGFR change at genome-wide significance. These findings help characterize molecular mechanisms of eGFR decline and may contribute to the development of new therapeutic approaches for progressive CKD."},{"copyright":"Copyright \u00a9 2023 by the American Society of Nephrology."}]
Address: Division of Nephrology and Hypertension, Vanderbilt Center for Kidney Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.; VA Tennessee Valley Healthcare System, Clinical Sciences Research and Development, Nashville, Tennessee.; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Medicine, Division of Cardiovascular Medicine, VA Palo Alto Health Care System, Palo Alto, California.; Department of Medicine, Stanford University School of Medicine, Stanford, California.; Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts.; Department of Medicine, Brigham and Women's Hospital and Harvard School of Medicine, Boston, Massachusetts.; Geriatrics Research Education and Clinical Care Service, VA Tennessee Valley Healthcare System, Nashville, Tennessee.; Division of Rheumatology and Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
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