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author Breeze, Charles E.
Batorsky, Anna
Lee, Mi Kyeong
Szeto, Mindy D.
Xu, Xiaoguang
McCartney, Daniel L.
Jiang, Rong
Patki, Amit
Kramer, Holly J.
Eales, James M.
Raffield, Laura
Lange, Leslie
Lange, Ethan
Durda, Peter
Liu, Yongmei
Tracy, Russ P.
Van Den Berg, David
Evans, Kathryn L.
Kraus, William E.
Shah, Svati
Tiwari, Hermant K.
Hou, Lifang
Whitsel, Eric A.
Jiang, Xiao
Charchar, Fadi J.
Baccarelli, Andrea A.
Rich, Stephen S.
Morris, Andrew P.
Irvin, Marguerite R.
Arnett, Donna K.
Hauser, Elizabeth R.
Rotter, Jerome I.
Correa, Adolfo
Hayward, Caroline
Horvath, Steve
Marioni, Riccardo E.
Tomaszewski, Maciej
Beck, Stephan
Berndt, Sonja I.
London, Stephanie J.
Mychaleckyj, Josyf C.
Franceschini, Nora
author_facet Breeze, Charles E.
Batorsky, Anna
Lee, Mi Kyeong
Szeto, Mindy D.
Xu, Xiaoguang
McCartney, Daniel L.
Jiang, Rong
Patki, Amit
Kramer, Holly J.
Eales, James M.
Raffield, Laura
Lange, Leslie
Lange, Ethan
Durda, Peter
Liu, Yongmei
Tracy, Russ P.
Van Den Berg, David
Evans, Kathryn L.
Kraus, William E.
Shah, Svati
Tiwari, Hermant K.
Hou, Lifang
Whitsel, Eric A.
Jiang, Xiao
Charchar, Fadi J.
Baccarelli, Andrea A.
Rich, Stephen S.
Morris, Andrew P.
Irvin, Marguerite R.
Arnett, Donna K.
Hauser, Elizabeth R.
Rotter, Jerome I.
Correa, Adolfo
Hayward, Caroline
Horvath, Steve
Marioni, Riccardo E.
Tomaszewski, Maciej
Beck, Stephan
Berndt, Sonja I.
London, Stephanie J.
Mychaleckyj, Josyf C.
Franceschini, Nora
author_sort Breeze, Charles E.
collection PubMed
description BACKGROUND: DNA methylation (DNAm) is associated with gene regulation and estimated glomerular filtration rate (eGFR), a measure of kidney function. Decreased eGFR is more common among US Hispanics and African Americans. The causes for this are poorly understood. We aimed to identify trans-ethnic and ethnic-specific differentially methylated positions (DMPs) associated with eGFR using an agnostic, genome-wide approach. METHODS: The study included up to 5428 participants from multi-ethnic studies for discovery and 8109 participants for replication. We tested the associations between whole blood DNAm and eGFR using beta values from Illumina 450K or EPIC arrays. Ethnicity-stratified analyses were performed using linear mixed models adjusting for age, sex, smoking, and study-specific and technical variables. Summary results were meta-analyzed within and across ethnicities. Findings were assessed using integrative epigenomics methods and pathway analyses. RESULTS: We identified 93 DMPs associated with eGFR at an FDR of 0.05 and replicated 13 and 1 DMPs across independent samples in trans-ethnic and African American meta-analyses, respectively. The study also validated 6 previously published DMPs. Identified DMPs showed significant overlap enrichment with DNase I hypersensitive sites in kidney tissue, sites associated with the expression of proximal genes, and transcription factor motifs and pathways associated with kidney tissue and kidney development. CONCLUSIONS: We uncovered trans-ethnic and ethnic-specific DMPs associated with eGFR, including DMPs enriched in regulatory elements in kidney tissue and pathways related to kidney development. These findings shed light on epigenetic mechanisms associated with kidney function, bridging the gap between population-specific eGFR-associated DNAm and tissue-specific regulatory context.
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spelling pubmed-80880542021-05-03 Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci Breeze, Charles E. Batorsky, Anna Lee, Mi Kyeong Szeto, Mindy D. Xu, Xiaoguang McCartney, Daniel L. Jiang, Rong Patki, Amit Kramer, Holly J. Eales, James M. Raffield, Laura Lange, Leslie Lange, Ethan Durda, Peter Liu, Yongmei Tracy, Russ P. Van Den Berg, David Evans, Kathryn L. Kraus, William E. Shah, Svati Tiwari, Hermant K. Hou, Lifang Whitsel, Eric A. Jiang, Xiao Charchar, Fadi J. Baccarelli, Andrea A. Rich, Stephen S. Morris, Andrew P. Irvin, Marguerite R. Arnett, Donna K. Hauser, Elizabeth R. Rotter, Jerome I. Correa, Adolfo Hayward, Caroline Horvath, Steve Marioni, Riccardo E. Tomaszewski, Maciej Beck, Stephan Berndt, Sonja I. London, Stephanie J. Mychaleckyj, Josyf C. Franceschini, Nora Genome Med Research BACKGROUND: DNA methylation (DNAm) is associated with gene regulation and estimated glomerular filtration rate (eGFR), a measure of kidney function. Decreased eGFR is more common among US Hispanics and African Americans. The causes for this are poorly understood. We aimed to identify trans-ethnic and ethnic-specific differentially methylated positions (DMPs) associated with eGFR using an agnostic, genome-wide approach. METHODS: The study included up to 5428 participants from multi-ethnic studies for discovery and 8109 participants for replication. We tested the associations between whole blood DNAm and eGFR using beta values from Illumina 450K or EPIC arrays. Ethnicity-stratified analyses were performed using linear mixed models adjusting for age, sex, smoking, and study-specific and technical variables. Summary results were meta-analyzed within and across ethnicities. Findings were assessed using integrative epigenomics methods and pathway analyses. RESULTS: We identified 93 DMPs associated with eGFR at an FDR of 0.05 and replicated 13 and 1 DMPs across independent samples in trans-ethnic and African American meta-analyses, respectively. The study also validated 6 previously published DMPs. Identified DMPs showed significant overlap enrichment with DNase I hypersensitive sites in kidney tissue, sites associated with the expression of proximal genes, and transcription factor motifs and pathways associated with kidney tissue and kidney development. CONCLUSIONS: We uncovered trans-ethnic and ethnic-specific DMPs associated with eGFR, including DMPs enriched in regulatory elements in kidney tissue and pathways related to kidney development. These findings shed light on epigenetic mechanisms associated with kidney function, bridging the gap between population-specific eGFR-associated DNAm and tissue-specific regulatory context. BioMed Central 2021-04-30 /pmc/articles/PMC8088054/ /pubmed/33931109 http://dx.doi.org/10.1186/s13073-021-00877-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Breeze, Charles E.
Batorsky, Anna
Lee, Mi Kyeong
Szeto, Mindy D.
Xu, Xiaoguang
McCartney, Daniel L.
Jiang, Rong
Patki, Amit
Kramer, Holly J.
Eales, James M.
Raffield, Laura
Lange, Leslie
Lange, Ethan
Durda, Peter
Liu, Yongmei
Tracy, Russ P.
Van Den Berg, David
Evans, Kathryn L.
Kraus, William E.
Shah, Svati
Tiwari, Hermant K.
Hou, Lifang
Whitsel, Eric A.
Jiang, Xiao
Charchar, Fadi J.
Baccarelli, Andrea A.
Rich, Stephen S.
Morris, Andrew P.
Irvin, Marguerite R.
Arnett, Donna K.
Hauser, Elizabeth R.
Rotter, Jerome I.
Correa, Adolfo
Hayward, Caroline
Horvath, Steve
Marioni, Riccardo E.
Tomaszewski, Maciej
Beck, Stephan
Berndt, Sonja I.
London, Stephanie J.
Mychaleckyj, Josyf C.
Franceschini, Nora
Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
title Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
title_full Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
title_fullStr Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
title_full_unstemmed Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
title_short Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
title_sort epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088054/
https://www.ncbi.nlm.nih.gov/pubmed/33931109
http://dx.doi.org/10.1186/s13073-021-00877-z
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