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在心脏组织中绘制甲基化数量性状基因座,可确定先天性心脏病的风险基因座和生物学途径。

Mapping methylation quantitative trait loci in cardiac tissues nominates risk loci and biological pathways in congenital heart disease.

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, 1025 E. Seventh Street, Bloomington, 47405, IN, USA.

Hackensack-Meridian Health Center for Discovery and Innovation, Nutley, NJ, 07110, USA.

出版信息

BMC Genom Data. 2021 Jun 10;22(1):20. doi: 10.1186/s12863-021-00975-2.

DOI:10.1186/s12863-021-00975-2
PMID:34112112
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8194170/
Abstract

BACKGROUND

Most congenital heart defects (CHDs) result from complex interactions among genetic susceptibilities, epigenetic modifications, and maternal environmental exposures. Characterizing the complex relationship between genetic, epigenetic, and transcriptomic variation will enhance our understanding of pathogenesis in this important type of congenital disorder. We investigated cis-acting effects of genetic single nucleotide polymorphisms (SNPs) on local DNA methylation patterns within 83 cardiac tissue samples and prioritized their contributions to CHD risk by leveraging results of CHD genome-wide association studies (GWAS) and their effects on cardiac gene expression.

RESULTS

We identified 13,901 potential methylation quantitative trait loci (mQTLs) with a false discovery threshold of 5%. Further co-localization analyses and Mendelian randomization indicated that genetic variants near the HLA-DRB6 gene on chromosome 6 may contribute to CHD risk by regulating the methylation status of nearby CpG sites. Additional SNPs in genomic regions on chromosome 10 (TNKS2-AS1 gene) and chromosome 14 (LINC01629 gene) may simultaneously influence epigenetic and transcriptomic variations within cardiac tissues.

CONCLUSIONS

Our results support the hypothesis that genetic variants may influence the risk of CHDs through regulating the changes of DNA methylation and gene expression. Our results can serve as an important source of information that can be integrated with other genetic studies of heart diseases, especially CHDs.

摘要

背景

大多数先天性心脏缺陷(CHD)是遗传易感性、表观遗传修饰和母体环境暴露之间复杂相互作用的结果。描述遗传、表观遗传和转录组变异之间的复杂关系将增强我们对这种重要类型先天性疾病发病机制的理解。我们研究了 83 个心脏组织样本中顺式作用的遗传单核苷酸多态性(SNP)对局部 DNA 甲基化模式的影响,并通过利用 CHD 全基因组关联研究(GWAS)的结果及其对心脏基因表达的影响,优先考虑它们对 CHD 风险的贡献。

结果

我们鉴定了 13901 个具有 5%错误发现阈值的潜在甲基化数量性状基因座(mQTL)。进一步的共定位分析和孟德尔随机化表明,染色体 6 上 HLA-DRB6 基因附近的遗传变异可能通过调节附近 CpG 位点的甲基化状态来导致 CHD 风险。染色体 10(TNKS2-AS1 基因)和染色体 14(LINC01629 基因)上基因组区域的其他 SNP 可能同时影响心脏组织中的表观遗传和转录组变异。

结论

我们的结果支持遗传变异可能通过调节 DNA 甲基化和基因表达的变化来影响 CHD 风险的假设。我们的结果可以作为与心脏病,特别是 CHD 的其他遗传研究相结合的重要信息来源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6522/8194170/23de0fd0eb75/12863_2021_975_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6522/8194170/38cab9cc7c1e/12863_2021_975_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6522/8194170/9921d9a23439/12863_2021_975_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6522/8194170/7205e08c7598/12863_2021_975_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6522/8194170/23de0fd0eb75/12863_2021_975_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6522/8194170/38cab9cc7c1e/12863_2021_975_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6522/8194170/9921d9a23439/12863_2021_975_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6522/8194170/7205e08c7598/12863_2021_975_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6522/8194170/23de0fd0eb75/12863_2021_975_Fig4_HTML.jpg

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本文引用的文献

1
PhenomeXcan: Mapping the genome to the phenome through the transcriptome.PhenomeXcan:通过转录组将基因组映射到表型组。
Sci Adv. 2020 Sep 10;6(37). doi: 10.1126/sciadv.aba2083. Print 2020 Sep.
2
Genomic analyses implicate noncoding de novo variants in congenital heart disease.基因组分析提示先天性心脏病中非编码新生变异的作用。
Nat Genet. 2020 Aug;52(8):769-777. doi: 10.1038/s41588-020-0652-z. Epub 2020 Jun 29.
3
Genome-wide association studies of structural birth defects: A review and commentary.全基因组关联研究在结构出生缺陷中的应用:综述与评论。
Integrating GWAS and proteome data to identify novel drug targets for MU.
整合 GWAS 和蛋白质组数据,以鉴定 MU 的新型药物靶点。
Sci Rep. 2023 Jun 27;13(1):10437. doi: 10.1038/s41598-023-37177-y.
4
Efficacy and Safety of Minimally Invasive Transcatheter Closure of Congenital Heart Disease under the Guidance of Transesophageal Ultrasound: A Randomized Controlled Trial.经食管超声引导下微创介入封堵先天性心脏病的疗效与安全性:一项随机对照试验。
Comput Math Methods Med. 2022 Jul 14;2022:2969979. doi: 10.1155/2022/2969979. eCollection 2022.
5
Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci.多性状多位点关联的随机区域建模用于检测甲基化数量性状基因座。
Bioinformatics. 2022 Aug 10;38(16):3853-3862. doi: 10.1093/bioinformatics/btac443.
6
Identifying causal genes for stroke via integrating the proteome and transcriptome from brain and blood.通过整合大脑和血液中的蛋白质组和转录组来识别中风的因果基因。
J Transl Med. 2022 Apr 21;20(1):181. doi: 10.1186/s12967-022-03377-9.
7
Detecting methylation quantitative trait loci using a methylation random field method.利用甲基化随机场方法检测甲基化数量性状位点。
Brief Bioinform. 2021 Nov 5;22(6). doi: 10.1093/bib/bbab323.
Birth Defects Res. 2019 Nov 1;111(18):1329-1342. doi: 10.1002/bdr2.1606. Epub 2019 Oct 25.
4
Tankyrase disrupts metabolic homeostasis and promotes tumorigenesis by inhibiting LKB1-AMPK signalling.端锚聚合酶通过抑制 LKB1-AMPK 信号通路破坏代谢平衡并促进肿瘤发生。
Nat Commun. 2019 Sep 25;10(1):4363. doi: 10.1038/s41467-019-12377-1.
5
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Am J Hum Genet. 2018 Nov 1;103(5):654-665. doi: 10.1016/j.ajhg.2018.09.007. Epub 2018 Oct 25.
6
The MR-Base platform supports systematic causal inference across the human phenome.MR-Base 平台支持在人类表型全范围内进行系统因果推断。
Elife. 2018 May 30;7:e34408. doi: 10.7554/eLife.34408.
7
A rare missense mutation in MYH6 associates with non-syndromic coarctation of the aorta.一种罕见的 MYH6 错义突变与非综合征性主动脉缩窄相关。
Eur Heart J. 2018 Sep 7;39(34):3243-3249. doi: 10.1093/eurheartj/ehy142.
8
Genomic structural variations lead to dysregulation of important coding and non-coding RNA species in dilated cardiomyopathy.基因组结构变异导致扩张型心肌病中重要编码和非编码 RNA 物种的失调。
EMBO Mol Med. 2018 Jan;10(1):107-120. doi: 10.15252/emmm.201707838.
9
Genetic-epigenetic interactions in cis: a major focus in the post-GWAS era.顺式遗传-表观遗传相互作用:后全基因组关联研究时代的一个主要焦点。
Genome Biol. 2017 Jun 19;18(1):120. doi: 10.1186/s13059-017-1250-y.
10
Genome-Wide Association Studies and Meta-Analyses for Congenital Heart Defects.先天性心脏病的全基因组关联研究与荟萃分析
Circ Cardiovasc Genet. 2017 Jun;10(3):e001449. doi: 10.1161/CIRCGENETICS.116.001449.