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A methylation risk score for chronic kidney disease: a HyperGEN study.
Jones, Alana C; Patki, Amit; Srinivasasainagendra, Vinodh; Hidalgo, Bertha A; Tiwari, Hemant K; Limdi, Nita A; Armstrong, Nicole D; Chaudhary, Ninad S; Minniefield, Bré; Absher, Devin; Arnett, Donna K; Lange, Leslie A; Lange, Ethan M; Young, Bessie A; Diamantidis, Clarissa J; Rich, Stephen S; Mychaleckyj, Josyf C; Rotter, Jerome I; Taylor, Kent D; Kramer, Holly J; Tracy, Russell P; Durda, Peter; Kasela, Silva; Lappalinen, Tuuli; Liu, Yongmei; Johnson, W Craig; Van Den Berg, David J; Franceschini, Nora; Liu, Simin; Mouton, Charles P; Bhatti, Parveen; Horvath, Steve; Whitsel, Eric A; Irvin, Marguerite R.
  • Jones AC; Medical Scientist Training Program, University of Alabama at Birmingham, 912 18th St S, Birmingham, AL, 35233, USA. acjones@uab.edu.
  • Patki A; Department of Epidemiology, University of Alabama at Birmingham, 912 18th St S, Birmingham, AL, 35233, USA. acjones@uab.edu.
  • Srinivasasainagendra V; Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Hidalgo BA; Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Tiwari HK; Department of Epidemiology, University of Alabama at Birmingham, 912 18th St S, Birmingham, AL, 35233, USA.
  • Limdi NA; Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Armstrong ND; Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Chaudhary NS; Department of Epidemiology, University of Alabama at Birmingham, 912 18th St S, Birmingham, AL, 35233, USA.
  • Minniefield B; 23andMe, South San Francisco, CA, USA.
  • Absher D; Department of Biology, Florida State University-Panama City, Panama City, FL, USA.
  • Arnett DK; HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
  • Lange LA; Office of the Provost, University of South Carolina, Columbia, SC, USA.
  • Lange EM; Department of Biomedical Informatics, University of Colorado-Anschutz, Aurora, CO, USA.
  • Young BA; Department of Biomedical Informatics, University of Colorado-Anschutz, Aurora, CO, USA.
  • Diamantidis CJ; Division of Nephrology, University of Washington, Seattle, WA, USA.
  • Rich SS; Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
  • Mychaleckyj JC; Department of Genome Sciences, University of Virginia, Charlottesville, VA, USA.
  • Rotter JI; Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Taylor KD; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Kramer HJ; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Tracy RP; Departments of Public Health Sciences and Medicine, Loyola University Medical Center, Taywood, IL, USA.
  • Durda P; Department of Pathology and Laboratory Medicine, University of Vermont, Colchester, VT, USA.
  • Kasela S; Department of Pathology and Laboratory Medicine, University of Vermont, Colchester, VT, USA.
  • Lappalinen T; Department of Systems Biology, New York Genome Center, Columbia University, New York, NY, USA.
  • Liu Y; Department of Systems Biology, New York Genome Center, Columbia University, New York, NY, USA.
  • Johnson WC; Department of Medicine, Cardiology and Neurology, Duke University Medical Center, Durham, NC, USA.
  • Van Den Berg DJ; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Franceschini N; Department of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
  • Liu S; Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Mouton CP; Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA.
  • Bhatti P; Department of Family Medicine, University of Texas Medical Branch Health, Galveston, TX, USA.
  • Horvath S; Department of Medicine, School of Population and Public Health, University of British Columbia, Vancouver, BC, CAN, USA.
  • Whitsel EA; Department of Human Genetics, David Geffen School of Medicine, Gonda Research Center, Los Angeles, CA, USA.
  • Irvin MR; Altos Labs, San Diego, CA, USA.
Sci Rep ; 14(1): 17757, 2024 08 01.
Article en En | MEDLINE | ID: mdl-39085340
ABSTRACT
Chronic kidney disease (CKD) impacts about 1 in 7 adults in the United States, but African Americans (AAs) carry a disproportionately higher burden of disease. Epigenetic modifications, such as DNA methylation at cytosine-phosphate-guanine (CpG) sites, have been linked to kidney function and may have clinical utility in predicting the risk of CKD. Given the dynamic relationship between the epigenome, environment, and disease, AAs may be especially sensitive to environment-driven methylation alterations. Moreover, risk models incorporating CpG methylation have been shown to predict disease across multiple racial groups. In this study, we developed a methylation risk score (MRS) for CKD in cohorts of AAs. We selected nine CpG sites that were previously reported to be associated with estimated glomerular filtration rate (eGFR) in epigenome-wide association studies to construct a MRS in the Hypertension Genetic Epidemiology Network (HyperGEN). In logistic mixed models, the MRS was significantly associated with prevalent CKD and was robust to multiple sensitivity analyses, including CKD risk factors. There was modest replication in validation cohorts. In summary, we demonstrated that an eGFR-based CpG score is an independent predictor of prevalent CKD, suggesting that MRS should be further investigated for clinical utility in evaluating CKD risk and progression.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Islas de CpG / Metilación de ADN / Insuficiencia Renal Crónica / Tasa de Filtración Glomerular Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Islas de CpG / Metilación de ADN / Insuficiencia Renal Crónica / Tasa de Filtración Glomerular Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article