An atlas of genetic effects on the monocyte methylome across European and African populations.

Wanheng Zhang, Chuan Qiu, Xiao Zhang, Zichen Zhang, Kuan-Jui Su, Zhe Luo, Minghui Liu, Bingxin Zhao, Lang Wu, Qing Tian, Hui Shen, Chong Wu, Hong-Wen Deng
{"title":"An atlas of genetic effects on the monocyte methylome across European and African populations.","authors":"Wanheng Zhang, Chuan Qiu, Xiao Zhang, Zichen Zhang, Kuan-Jui Su, Zhe Luo, Minghui Liu, Bingxin Zhao, Lang Wu, Qing Tian, Hui Shen, Chong Wu, Hong-Wen Deng","doi":"10.1101/2024.08.12.24311885","DOIUrl":null,"url":null,"abstract":"<p><p>Elucidating the genetic architecture of DNA methylation (DNAm) is crucial for decoding complex disease etiology. However, current epigenomic studies are often constrained by limited methylation coverage and tissue heterogeneity. Here, we present the first comprehensive, multi-ancestry methylome atlas of purified human monocytes, which play a central role in immune response and inflammation, generated through integrated whole-genome bisulfite sequencing and whole-genome sequencing from 160 African Americans (AA) and 298 European Americans (EA). By analyzing over 25 million CpG sites, we identified 3,634,383 and 3,261,407 CpG sites having <i>cis</i> -methylation quantitative trait loci (meQTLs) in AA and EA populations, respectively, revealing both shared (1,046,098 sites) and population-specific regulatory patterns. Furthermore, we developed population-specific DNAm imputation models, enabling methylome-wide association studies (MWAS) across 2,677,714 and 1,976,046 CpG sites in AA and EA, respectively. These models were validated through multi-ancestry analysis of 41 complex traits from the Million Veteran Program. All meQTLs, MWAS models, and related resources are publicly available at www.gcbhub.org and https://osf.io/gct57/ .</p>","PeriodicalId":94281,"journal":{"name":"medRxiv : the preprint server for health sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11361221/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv : the preprint server for health sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.12.24311885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Elucidating the genetic architecture of DNA methylation (DNAm) is crucial for decoding complex disease etiology. However, current epigenomic studies are often constrained by limited methylation coverage and tissue heterogeneity. Here, we present the first comprehensive, multi-ancestry methylome atlas of purified human monocytes, which play a central role in immune response and inflammation, generated through integrated whole-genome bisulfite sequencing and whole-genome sequencing from 160 African Americans (AA) and 298 European Americans (EA). By analyzing over 25 million CpG sites, we identified 3,634,383 and 3,261,407 CpG sites having cis -methylation quantitative trait loci (meQTLs) in AA and EA populations, respectively, revealing both shared (1,046,098 sites) and population-specific regulatory patterns. Furthermore, we developed population-specific DNAm imputation models, enabling methylome-wide association studies (MWAS) across 2,677,714 and 1,976,046 CpG sites in AA and EA, respectively. These models were validated through multi-ancestry analysis of 41 complex traits from the Million Veteran Program. All meQTLs, MWAS models, and related resources are publicly available at www.gcbhub.org and https://osf.io/gct57/ .

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
欧洲和非洲人群单核细胞甲基组遗传效应图谱。
阐明DNA甲基化(DNAm)的遗传结构对于破解复杂疾病的病因至关重要。然而,目前的表观基因组研究往往存在甲基化位点覆盖不全和使用含有异质性细胞群的组织的问题。为了应对这些挑战,我们在路易斯安那骨质疏松症研究(Louisiana Osteoporosis Study)中对来自 298 名欧洲裔美国人(EA)和 160 名非洲裔美国人(AA)的纯化单核细胞进行了深度全基因组亚硫酸氢盐测序(WGBS)和全基因组测序(WGS),在此基础上绘制了全面的人类甲基组图集。我们的图谱能够分析超过 2,500 万个 DNAm 位点。我们在EA和AA人群的顺式区域分别发现了1,383,250和1,721,167个甲基化定量性状位点(meQTLs),其中有880,108个位点在不同血统之间共享。主要由于小等位基因频率的差异,顺式甲基化定量性状位点呈现出特定人群的模式,而共享的顺式甲基化定量性状位点在不同祖先之间表现出高度的一致性。值得注意的是,顺式遗传率估计值显示 AA 群体(0.09)的平均值明显高于 EA 群体(0.04)。此外,我们还利用 Elastic Net 开发了特定人群的 DNAm 估算模型,分别对 EA 和 AA 中的 1,976,046 和 2,657,581 个甲基化位点进行了全甲基关联研究(MWAS)。通过对 "百万退伍军人计划 "中的 41 个复杂性状进行系统的多家系分析,我们的 MWAS 模型的性能得到了验证。我们的研究结果弥补了基因组学与单核细胞甲基组之间的差距,发现了新的甲基化与表型的关联及其在不同血统中的可转移性。已确定的 meQTLs、MWAS 模型和数据资源可在 www.gcbhub.org 和 https://osf.io/gct57/ 免费获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Genomics link obesity and type 2 diabetes to Alzheimer's disease to unveil novel biological insights. Genome-wide association study of corneal dystrophy uncovers novel risk loci and enables improved polygenic prediction of Fuchs endothelial corneal dystrophy. Mindfulness-Oriented Recovery Enhancement rebalances prefrontal responses to drug and natural reward cues in opioid use disorder. Incidence of dementia after a recent cancer diagnosis among people with HIV. Assessing the risk of early-onset dementia within 5 years of cancer diagnosis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1