A methylation risk score for chronic kidney disease: a HyperGEN study

被引:5
|
作者
Jones, Alana C. [1 ,2 ]
Patki, Amit [3 ]
Srinivasasainagendra, Vinodh [3 ]
Hidalgo, Bertha A. [2 ]
Tiwari, Hemant K. [3 ]
Limdi, Nita A. [4 ]
Armstrong, Nicole D. [2 ]
Chaudhary, Ninad S. [5 ]
Minniefield, Bre [6 ]
Absher, Devin [7 ]
Arnett, Donna K. [8 ]
Lange, Leslie A. [9 ]
Lange, Ethan M. [9 ]
Young, Bessie A. [10 ]
Diamantidis, Clarissa J. [11 ]
Rich, Stephen S. [27 ]
Mychaleckyj, Josyf C. [12 ]
Rotter, Jerome I. [13 ]
Taylor, Kent D. [13 ]
Kramer, Holly J. [14 ,15 ]
Tracy, Russell P. [16 ]
Durda, Peter [16 ]
Kasela, Silva [17 ]
Lappalinen, Tuuli [17 ]
Liu, Yongmei [18 ]
Johnson, W. Craig [19 ]
Van Den Berg, David J. [20 ]
Franceschini, Nora [21 ]
Liu, Simin [22 ]
Mouton, Charles P. [23 ]
Bhatti, Parveen [24 ]
Horvath, Steve [25 ,26 ]
Whitsel, Eric A. [21 ]
Irvin, Marguerite R. [2 ]
机构
[1] Univ Alabama Birmingham, Med Scientist Training Program, 912 18th St S, Birmingham, AL 35233 USA
[2] Univ Alabama Birmingham, Dept Epidemiol, 912 18th St S, Birmingham, AL 35233 USA
[3] Univ Alabama Birmingham, Dept Biostat, Birmingham, AL USA
[4] Univ Alabama Birmingham, Dept Neurol, Birmingham, AL USA
[5] 23andMe, South San Francisco, CA USA
[6] Florida State Univ, Dept Biol, Panama City, FL USA
[7] HudsonAlpha Inst Biotechnol, Huntsville, AL USA
[8] Univ South Carolina, Off Provost, Columbia, SC USA
[9] Univ Colorado Anschutz, Dept Biomed Informat, Aurora, CO USA
[10] Univ Washington, Div Nephrol, Seattle, WA USA
[11] Duke Univ, Sch Med, Dept Med, Durham, NC USA
[12] Univ Virginia, Ctr Publ Hlth Genom, Dept Publ Hlth Sci, Charlottesville, VA USA
[13] Harbor UCLA Med Ctr, Inst Translat Genom & Populat Sci, Lundquist Inst Biomed Innovat, Dept Pediat, Torrance, CA USA
[14] Loyola Univ Med Ctr, Dept Publ Hlth Sci, Taywood, IL USA
[15] Loyola Univ Med Ctr, Dept Med, Taywood, IL USA
[16] Univ Vermont, Dept Pathol & Lab Med, Colchester, VT USA
[17] Columbia Univ, New York Genome Ctr, Dept Syst Biol, New York, NY USA
[18] Duke Univ, Med Ctr, Dept Med Cardiol & Neurol, Durham, NC USA
[19] Univ Washington, Dept Biostat, Seattle, WA USA
[20] Univ Southern Calif, Keck Sch Med USC, Dept Populat & Publ Hlth Sci, Los Angeles, CA USA
[21] Univ North Carolina, Gillings Sch Publ Hlth, Dept Epidemiol, Chapel Hill, NC USA
[22] Brown Univ, Sch Publ Hlth, Dept Epidemiol, Providence, RI USA
[23] Univ Texas Med Branch Hlth, Dept Family Med, Galveston, TX USA
[24] Univ British Columbia, Sch Populat & Publ Hlth, Dept Med, Vancouver, BC, Canada
[25] Gonda Res Ctr, David Geffen Sch Med, Dept Human Genet, Los Angeles, CA USA
[26] Altos Labs, San Diego, CA USA
[27] Univ Virginia, Dept Publ Hlth Sci, Charlottesville, VA USA
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
Chronic kidney disease; eGFR; Methylation risk score; Epigenetics; DNA METHYLATION; POPULATION; BIOMARKERS;
D O I
10.1038/s41598-024-68470-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:10
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