Mapping Epigenetic Gene Variant Dynamics: Comparative Analysis of Frequency, Functional Impact and Trait Associations in African and European Populations

M. Sinkala, Gaone Retshabile, P. Mpangase, Salia Bamba, Modibo K Goita, Vicky Nembaware, S. Elsheikh, Jeannine Heckmann, K. Esoh, M. Matshaba, Clement A. Adebamowo, S. Adebamowo, Ofon Elvis, Amih, A. Wonkam, Michele Ramsay, Nicola Mulder
{"title":"Mapping Epigenetic Gene Variant Dynamics: Comparative Analysis of Frequency, Functional Impact and Trait Associations in African and European Populations","authors":"M. Sinkala, Gaone Retshabile, P. Mpangase, Salia Bamba, Modibo K Goita, Vicky Nembaware, S. Elsheikh, Jeannine Heckmann, K. Esoh, M. Matshaba, Clement A. Adebamowo, S. Adebamowo, Ofon Elvis, Amih, A. Wonkam, Michele Ramsay, Nicola Mulder","doi":"10.1101/2024.08.11.24311816","DOIUrl":null,"url":null,"abstract":"Epigenetic modifications influence gene expression levels, impact organismal traits, and play a role in the development of diseases. Therefore, variants in genes involved in epigenetic processes are likely to be important in disease susceptibility, and the frequency of variants may vary between populations with African and European ancestries. Here, we analyse an integrated dataset to define the frequencies, associated traits, and functional impact of epigenetic gene variants among individuals of African and European ancestry represented in the UK Biobank. We find that the frequencies of 88.4% of epigenetic gene variants significantly differ between these groups. Furthermore, we find that the variants are associated with many traits and diseases, and some of these associations may be population-specific owing to allele frequency differences. Additionally, we observe that variants associated with traits are significantly enriched for quantitative trait loci that affect DNA methylation, chromatin accessibility, and gene expression. We find that methylation quantitative trait loci account for 71.2% of the variants influencing gene expression. Moreover, variants linked to biomarker traits exhibit high correlation. We therefore conclude that epigenetic gene variants associated with traits tend to differ in their allele frequencies among African and European populations and are enriched for QTLs.","PeriodicalId":18505,"journal":{"name":"medRxiv","volume":"40 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.11.24311816","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

Epigenetic modifications influence gene expression levels, impact organismal traits, and play a role in the development of diseases. Therefore, variants in genes involved in epigenetic processes are likely to be important in disease susceptibility, and the frequency of variants may vary between populations with African and European ancestries. Here, we analyse an integrated dataset to define the frequencies, associated traits, and functional impact of epigenetic gene variants among individuals of African and European ancestry represented in the UK Biobank. We find that the frequencies of 88.4% of epigenetic gene variants significantly differ between these groups. Furthermore, we find that the variants are associated with many traits and diseases, and some of these associations may be population-specific owing to allele frequency differences. Additionally, we observe that variants associated with traits are significantly enriched for quantitative trait loci that affect DNA methylation, chromatin accessibility, and gene expression. We find that methylation quantitative trait loci account for 71.2% of the variants influencing gene expression. Moreover, variants linked to biomarker traits exhibit high correlation. We therefore conclude that epigenetic gene variants associated with traits tend to differ in their allele frequencies among African and European populations and are enriched for QTLs.
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
绘制表观遗传基因变异动态图:非洲和欧洲人群的频率、功能影响和性状关联的比较分析
表观遗传修饰会影响基因的表达水平,影响生物体的性状,并在疾病的发生发展中发挥作用。因此,参与表观遗传过程的基因变异很可能对疾病易感性有重要影响,而且非洲和欧洲血统人群的变异频率可能会有所不同。在这里,我们分析了一个综合数据集,以确定英国生物库中非洲和欧洲血统个体中表观遗传基因变异的频率、相关性状和功能影响。我们发现,88.4% 的表观遗传基因变异的频率在这些群体之间存在显著差异。此外,我们还发现这些变异与许多性状和疾病有关,其中一些关联可能因等位基因频率的差异而具有人群特异性。此外,我们还观察到,与性状相关的变异明显富集于影响 DNA 甲基化、染色质可及性和基因表达的数量性状位点。我们发现,甲基化数量性状位点占影响基因表达变异的 71.2%。此外,与生物标记性状相关的变异表现出高度的相关性。因此,我们得出结论,与性状相关的表观遗传基因变异在等位基因频率上往往在非洲和欧洲人群中有所不同,并且富含 QTLs。
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
Factors determining hemoglobin levels in vaginally delivered term newborns at public hospitals in Lusaka, Zambia Accurate and cost-efficient whole genome sequencing of hepatitis B virus using Nanopore Mapping Epigenetic Gene Variant Dynamics: Comparative Analysis of Frequency, Functional Impact and Trait Associations in African and European Populations Assessing Population-level Accessibility to Medical College Hospitals in India: A Geospatial Modeling Study Targeted inference to identify drug repositioning candidates in the Danish health registries
×
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:481959085
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