Chromatin regulators in the TBX1 network confer risk for conotruncal heart defects in 22q11.2DS.

IF 4.7 2区 医学 Q1 GENETICS & HEREDITY
Yingjie Zhao, Yujue Wang, Lijie Shi, Donna M McDonald-McGinn, T Blaine Crowley, Daniel E McGinn, Oanh T Tran, Daniella Miller, Jhih-Rong Lin, Elaine Zackai, H Richard Johnston, Eva W C Chow, Jacob A S Vorstman, Claudia Vingerhoets, Therese van Amelsvoort, Doron Gothelf, Ann Swillen, Jeroen Breckpot, Joris R Vermeesch, Stephan Eliez, Maude Schneider, Marianne B M van den Bree, Michael J Owen, Wendy R Kates, Gabriela M Repetto, Vandana Shashi, Kelly Schoch, Carrie E Bearden, M Cristina Digilio, Marta Unolt, Carolina Putotto, Bruno Marino, Maria Pontillo, Marco Armando, Stefano Vicari, Kathleen Angkustsiri, Linda Campbell, Tiffany Busa, Damian Heine-Suñer, Kieran C Murphy, Declan Murphy, Sixto García-Miñaúr, Luis Fernández, Zhengdong D Zhang, Elizabeth Goldmuntz, Raquel E Gur, Beverly S Emanuel, Deyou Zheng, Christian R Marshall, Anne S Bassett, Tao Wang, Bernice E Morrow
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引用次数: 0

Abstract

Congenital heart disease (CHD) affecting the conotruncal region of the heart, occurs in 40-50% of patients with 22q11.2 deletion syndrome (22q11.2DS). This syndrome is a rare disorder with relative genetic homogeneity that can facilitate identification of genetic modifiers. Haploinsufficiency of TBX1, encoding a T-box transcription factor, is one of the main genes responsible for the etiology of the syndrome. We suggest that genetic modifiers of conotruncal defects in patients with 22q11.2DS may be in the TBX1 gene network. To identify genetic modifiers, we analyzed rare, predicted damaging variants in whole genome sequence of 456 cases with conotruncal defects and 537 controls, with 22q11.2DS. We then performed gene set approaches and identified chromatin regulatory genes as modifiers. Chromatin genes with recurrent damaging variants include EP400, KAT6A, KMT2C, KMT2D, NSD1, CHD7 and PHF21A. In total, we identified 37 chromatin regulatory genes, that may increase risk for conotruncal heart defects in 8.5% of 22q11.2DS cases. Many of these genes were identified as risk factors for sporadic CHD in the general population. These genes are co-expressed in cardiac progenitor cells with TBX1, suggesting that they may be in the same genetic network. The genes KAT6A, KMT2C, CHD7 and EZH2, have been previously shown to genetically interact with TBX1 in mouse models. Our findings indicate that disturbance of chromatin regulatory genes impact the TBX1 gene network serving as genetic modifiers of 22q11.2DS and sporadic CHD, suggesting that there are some shared mechanisms involving the TBX1 gene network in the etiology of CHD.

Abstract Image

TBX1网络中的染色质调节因子会导致22q11.2DS先天性心脏缺陷。
在患有 22q11.2 缺失综合征(22q11.2DS)的患者中,40%-50% 会出现影响心脏圆锥区的先天性心脏病(CHD)。该综合征是一种罕见的疾病,具有相对的遗传同质性,有助于鉴定遗传修饰因子。编码 T-box 转录因子的 TBX1 的单倍体缺陷是导致该综合征病因的主要基因之一。我们认为,22q11.2DS 患者锥体缺陷的遗传修饰因子可能在 TBX1 基因网络中。为了确定遗传修饰因子,我们分析了 456 例 22q11.2DS 先天性脐带绕颈症病例和 537 例对照者的全基因组序列中罕见的、预测的损伤性变异。然后,我们采用基因组方法确定了染色质调控基因作为调控因子。反复出现损伤性变异的染色质基因包括 EP400、KAT6A、KMT2C、KMT2D、NSD1、CHD7 和 PHF21A。在 8.5% 的 22q11.2DS 病例中,我们总共发现了 37 个染色质调控基因,这些基因可能会增加先天性心脏病的风险。其中许多基因已被确定为普通人群中散发性先天性心脏病的风险因素。这些基因在心脏祖细胞中与 TBX1 共同表达,表明它们可能处于同一个遗传网络中。KAT6A、KMT2C、CHD7 和 EZH2 基因以前曾在小鼠模型中与 TBX1 发生过基因相互作用。我们的研究结果表明,染色质调控基因的干扰会影响TBX1基因网络,从而成为22q11.2DS和散发性冠心病的遗传修饰因子,这表明在冠心病的病因学中存在一些涉及TBX1基因网络的共同机制。
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来源期刊
NPJ Genomic Medicine
NPJ Genomic Medicine Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍: npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine. The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.
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