Beyond genomic studies of congenital heart defects through systematic modelling and phenotyping.

IF 4 3区 医学 Q2 CELL BIOLOGY
Disease Models & Mechanisms Pub Date : 2024-11-01 Epub Date: 2024-11-22 DOI:10.1242/dmm.050913
Deborah J Henderson, Ahlam Alqahtani, Bill Chaudhry, Andrew Cook, Lorraine Eley, Lucile Houyel, Marina Hughes, Bernard Keavney, José Luis de la Pompa, John Sled, Nadine Spielmann, Lydia Teboul, Stephane Zaffran, Pleasantine Mill, Karen J Liu
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引用次数: 0

Abstract

Congenital heart defects (CHDs), the most common congenital anomalies, are considered to have a significant genetic component. However, despite considerable efforts to identify pathogenic genes in patients with CHDs, few gene variants have been proven as causal. The complexity of the genetic architecture underlying human CHDs likely contributes to this poor genetic discovery rate. However, several other factors are likely to contribute. For example, the level of patient phenotyping required for clinical care may be insufficient for research studies focused on mechanistic discovery. Although several hundred mouse gene knockouts have been described with CHDs, these are generally not phenotyped and described in the same way as CHDs in patients, and thus are not readily comparable. Moreover, most patients with CHDs carry variants of uncertain significance of crucial cardiac genes, further complicating comparisons between humans and mouse mutants. In spite of major advances in cardiac developmental biology over the past 25 years, these advances have not been well communicated to geneticists and cardiologists. As a consequence, the latest data from developmental biology are not always used in the design and interpretation of studies aimed at discovering the genetic causes of CHDs. In this Special Article, while considering other in vitro and in vivo models, we create a coherent framework for accurately modelling and phenotyping human CHDs in mice, thereby enhancing the translation of genetic and genomic studies into the causes of CHDs in patients.

通过系统建模和表型,超越先天性心脏缺陷的基因组研究。
先天性心脏缺陷(CHDs)是最常见的先天性畸形,被认为有很大的遗传因素。然而,尽管为确定先天性心脏病患者的致病基因做出了巨大努力,但很少有基因变异被证明是致病因素。人类先天性心脏病基因结构的复杂性可能是导致基因发现率低的原因之一。不过,其他一些因素也可能是原因之一。例如,临床治疗所需的患者表型分析水平可能不足以开展以机理发现为重点的研究。虽然已有几百个小鼠基因敲除模型被描述为患有先天性心脏病,但这些基因敲除模型的表型和描述方式通常与患者的先天性心脏病不同,因此不具有可比性。此外,大多数 CHD 患者携带的关键心脏基因变异意义不明,这使得人类与小鼠突变体之间的比较更加复杂。尽管心脏发育生物学在过去 25 年中取得了重大进展,但这些进展并没有很好地传达给遗传学家和心脏病专家。因此,在设计和解释旨在发现先天性心脏病遗传原因的研究时,并不总是使用发育生物学的最新数据。在这篇特别文章中,在考虑其他体外和体内模型的同时,我们创建了一个连贯的框架,用于在小鼠中准确地模拟人类先天性心脏病并进行表型分析,从而促进遗传学和基因组学研究向患者先天性心脏病病因的转化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Disease Models & Mechanisms
Disease Models & Mechanisms 医学-病理学
CiteScore
6.60
自引率
7.00%
发文量
203
审稿时长
6-12 weeks
期刊介绍: Disease Models & Mechanisms (DMM) is an online Open Access journal focusing on the use of model systems to better understand, diagnose and treat human disease.
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