Cargando…

Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease

Identifying methylation quantitative trait loci (meQTLs) and integrating them with disease-associated variants from genome-wide association studies (GWAS) may illuminate functional mechanisms underlying genetic variant-disease associations. Here, we perform GWAS of >415 thousand CpG methylation s...

Descripción completa

Detalles Bibliográficos
Autores principales: Huan, Tianxiao, Joehanes, Roby, Song, Ci, Peng, Fen, Guo, Yichen, Mendelson, Michael, Yao, Chen, Liu, Chunyu, Ma, Jiantao, Richard, Melissa, Agha, Golareh, Guan, Weihua, Almli, Lynn M., Conneely, Karen N., Keefe, Joshua, Hwang, Shih-Jen, Johnson, Andrew D., Fornage, Myriam, Liang, Liming, Levy, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753136/
https://www.ncbi.nlm.nih.gov/pubmed/31537805
http://dx.doi.org/10.1038/s41467-019-12228-z
_version_ 1783452835538534400
author Huan, Tianxiao
Joehanes, Roby
Song, Ci
Peng, Fen
Guo, Yichen
Mendelson, Michael
Yao, Chen
Liu, Chunyu
Ma, Jiantao
Richard, Melissa
Agha, Golareh
Guan, Weihua
Almli, Lynn M.
Conneely, Karen N.
Keefe, Joshua
Hwang, Shih-Jen
Johnson, Andrew D.
Fornage, Myriam
Liang, Liming
Levy, Daniel
author_facet Huan, Tianxiao
Joehanes, Roby
Song, Ci
Peng, Fen
Guo, Yichen
Mendelson, Michael
Yao, Chen
Liu, Chunyu
Ma, Jiantao
Richard, Melissa
Agha, Golareh
Guan, Weihua
Almli, Lynn M.
Conneely, Karen N.
Keefe, Joshua
Hwang, Shih-Jen
Johnson, Andrew D.
Fornage, Myriam
Liang, Liming
Levy, Daniel
author_sort Huan, Tianxiao
collection PubMed
description Identifying methylation quantitative trait loci (meQTLs) and integrating them with disease-associated variants from genome-wide association studies (GWAS) may illuminate functional mechanisms underlying genetic variant-disease associations. Here, we perform GWAS of >415 thousand CpG methylation sites in whole blood from 4170 individuals and map 4.7 million cis- and 630 thousand trans-meQTL variants targeting >120 thousand CpGs. Independent replication is performed in 1347 participants from two studies. By linking cis-meQTL variants with GWAS results for cardiovascular disease (CVD) traits, we identify 92 putatively causal CpGs for CVD traits by Mendelian randomization analysis. Further integrating gene expression data reveals evidence of cis CpG-transcript pairs causally linked to CVD. In addition, we identify 22 trans-meQTL hotspots each targeting more than 30 CpGs and find that trans-meQTL hotspots appear to act in cis on expression of nearby transcriptional regulatory genes. Our findings provide a powerful meQTL resource and shed light on DNA methylation involvement in human diseases.
format Online
Article
Text
id pubmed-6753136
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-67531362019-09-23 Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease Huan, Tianxiao Joehanes, Roby Song, Ci Peng, Fen Guo, Yichen Mendelson, Michael Yao, Chen Liu, Chunyu Ma, Jiantao Richard, Melissa Agha, Golareh Guan, Weihua Almli, Lynn M. Conneely, Karen N. Keefe, Joshua Hwang, Shih-Jen Johnson, Andrew D. Fornage, Myriam Liang, Liming Levy, Daniel Nat Commun Article Identifying methylation quantitative trait loci (meQTLs) and integrating them with disease-associated variants from genome-wide association studies (GWAS) may illuminate functional mechanisms underlying genetic variant-disease associations. Here, we perform GWAS of >415 thousand CpG methylation sites in whole blood from 4170 individuals and map 4.7 million cis- and 630 thousand trans-meQTL variants targeting >120 thousand CpGs. Independent replication is performed in 1347 participants from two studies. By linking cis-meQTL variants with GWAS results for cardiovascular disease (CVD) traits, we identify 92 putatively causal CpGs for CVD traits by Mendelian randomization analysis. Further integrating gene expression data reveals evidence of cis CpG-transcript pairs causally linked to CVD. In addition, we identify 22 trans-meQTL hotspots each targeting more than 30 CpGs and find that trans-meQTL hotspots appear to act in cis on expression of nearby transcriptional regulatory genes. Our findings provide a powerful meQTL resource and shed light on DNA methylation involvement in human diseases. Nature Publishing Group UK 2019-09-19 /pmc/articles/PMC6753136/ /pubmed/31537805 http://dx.doi.org/10.1038/s41467-019-12228-z Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Huan, Tianxiao
Joehanes, Roby
Song, Ci
Peng, Fen
Guo, Yichen
Mendelson, Michael
Yao, Chen
Liu, Chunyu
Ma, Jiantao
Richard, Melissa
Agha, Golareh
Guan, Weihua
Almli, Lynn M.
Conneely, Karen N.
Keefe, Joshua
Hwang, Shih-Jen
Johnson, Andrew D.
Fornage, Myriam
Liang, Liming
Levy, Daniel
Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease
title Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease
title_full Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease
title_fullStr Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease
title_full_unstemmed Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease
title_short Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease
title_sort genome-wide identification of dna methylation qtls in whole blood highlights pathways for cardiovascular disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753136/
https://www.ncbi.nlm.nih.gov/pubmed/31537805
http://dx.doi.org/10.1038/s41467-019-12228-z
work_keys_str_mv AT huantianxiao genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT joehanesroby genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT songci genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT pengfen genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT guoyichen genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT mendelsonmichael genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT yaochen genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT liuchunyu genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT majiantao genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT richardmelissa genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT aghagolareh genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT guanweihua genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT almlilynnm genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT conneelykarenn genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT keefejoshua genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT hwangshihjen genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT johnsonandrewd genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT fornagemyriam genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT liangliming genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease
AT levydaniel genomewideidentificationofdnamethylationqtlsinwholebloodhighlightspathwaysforcardiovasculardisease