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本文引用的文献

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Diagnosis and Management of Beckwith-Wiedemann Syndrome.贝克威思-维德曼综合征的诊断与管理
Front Pediatr. 2020 Jan 21;7:562. doi: 10.3389/fped.2019.00562. eCollection 2019.
2
The phenotypic variations of multi-locus imprinting disturbances associated with maternal-effect variants of NLRP5 range from overt imprinting disorder to apparently healthy phenotype.多基因印记紊乱与 NLRP5 的母源效应变异相关,其表型变异范围从明显的印记障碍到明显的健康表型。
Clin Epigenetics. 2019 Dec 11;11(1):190. doi: 10.1186/s13148-019-0760-8.
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Multi-omics profiling of mouse gastrulation at single-cell resolution.单细胞分辨率下的小鼠原肠胚形成的多组学分析。
Nature. 2019 Dec;576(7787):487-491. doi: 10.1038/s41586-019-1825-8. Epub 2019 Dec 11.
4
Highly sensitive MLH1 methylation analysis in blood identifies a cancer patient with low-level mosaic MLH1 epimutation.血液中高敏感 MLH1 甲基化分析鉴定出一位低水平嵌合 MLH1 表观突变的癌症患者。
Clin Epigenetics. 2019 Nov 28;11(1):171. doi: 10.1186/s13148-019-0762-6.
5
DNA methylation aging clocks: challenges and recommendations.DNA 甲基化衰老钟:挑战与建议。
Genome Biol. 2019 Nov 25;20(1):249. doi: 10.1186/s13059-019-1824-y.
6
A genome-wide DNA methylation signature for SETD1B-related syndrome.一个与 SETD1B 相关的综合征的全基因组 DNA 甲基化特征。
Clin Epigenetics. 2019 Nov 4;11(1):156. doi: 10.1186/s13148-019-0749-3.
7
The variability of SMCHD1 gene in FSHD patients: evidence of new mutations.在 FSHD 患者中 SMCHD1 基因的变异性:新突变的证据。
Hum Mol Genet. 2019 Dec 1;28(23):3912-3920. doi: 10.1093/hmg/ddz239.
8
Mendelian disorders of the epigenetic machinery: postnatal malleability and therapeutic prospects.表观遗传机制的孟德尔疾病:出生后的可塑和治疗前景。
Hum Mol Genet. 2019 Nov 21;28(R2):R254-R264. doi: 10.1093/hmg/ddz174.
9
Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease.血液白细胞 DNA 甲基化可预测未来心肌梗死和冠心病的风险。
Circulation. 2019 Aug 20;140(8):645-657. doi: 10.1161/CIRCULATIONAHA.118.039357. Epub 2019 Aug 19.
10
Screening for genes that accelerate the epigenetic aging clock in humans reveals a role for the H3K36 methyltransferase NSD1.在人类中筛选加速表观遗传衰老时钟的基因,揭示了 H3K36 甲基转移酶 NSD1 的作用。
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DNA甲基化在单基因疾病诊断中的应用

DNA Methylation in the Diagnosis of Monogenic Diseases.

作者信息

Cerrato Flavia, Sparago Angela, Ariani Francesca, Brugnoletti Fulvia, Calzari Luciano, Coppedè Fabio, De Luca Alessandro, Gervasini Cristina, Giardina Emiliano, Gurrieri Fiorella, Lo Nigro Cristiana, Merla Giuseppe, Miozzo Monica, Russo Silvia, Sangiorgi Eugenio, Sirchia Silvia M, Squeo Gabriella Maria, Tabano Silvia, Tabolacci Elisabetta, Torrente Isabella, Genuardi Maurizio, Neri Giovanni, Riccio Andrea

机构信息

Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania "Luigi Vanvitelli", 81100 Caserta, Italy.

Genetica Medica, Università di Siena, 53100 Siena, Italy.

出版信息

Genes (Basel). 2020 Mar 26;11(4):355. doi: 10.3390/genes11040355.

DOI:10.3390/genes11040355
PMID:32224912
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7231024/
Abstract

DNA methylation in the human genome is largely programmed and shaped by transcription factor binding and interaction between DNA methyltransferases and histone marks during gamete and embryo development. Normal methylation profiles can be modified at single or multiple loci, more frequently as consequences of genetic variants acting in cis or in trans, or in some cases stochastically or through interaction with environmental factors. For many developmental disorders, specific methylation patterns or signatures can be detected in blood DNA. The recent use of high-throughput assays investigating the whole genome has largely increased the number of diseases for which DNA methylation analysis provides information for their diagnosis. Here, we review the methylation abnormalities that have been associated with mono/oligogenic diseases, their relationship with genotype and phenotype and relevance for diagnosis, as well as the limitations in their use and interpretation of results.

摘要

人类基因组中的DNA甲基化在很大程度上是由转录因子结合以及配子和胚胎发育过程中DNA甲基转移酶与组蛋白标记之间的相互作用所编程和塑造的。正常的甲基化图谱可在单个或多个位点发生改变,更常见的是顺式或反式作用的遗传变异导致的结果,或者在某些情况下是随机发生的,或是通过与环境因素相互作用而改变。对于许多发育障碍,可在血液DNA中检测到特定的甲基化模式或特征。近期使用的研究全基因组的高通量检测方法极大地增加了DNA甲基化分析可为其诊断提供信息的疾病数量。在此,我们综述了与单基因/寡基因疾病相关的甲基化异常、它们与基因型和表型的关系及其诊断相关性,以及在其应用和结果解读方面的局限性。