Genetic mapping of electrocardiographic parameters in BXD strains reveals Chromosome 3 loci to be associated with cardiac repolarization abnormalities.

IF 2.5 4区 生物学 Q3 CELL BIOLOGY
Physiological genomics Pub Date : 2025-08-01 Epub Date: 2025-05-19 DOI:10.1152/physiolgenomics.00183.2024
Buyan-Ochir Orgil, Fuyi Xu, Ning Li, Akhilesh K Bajpai, Neely R Alberson, Jason N Johnson, Qingqing Gu, Glenn T Wetzel, Jeffrey A Towbin, Lu Lu, Enkhsaikhan Purevjav
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引用次数: 0

Abstract

Risk factors for cardiac arrhythmias that can cause sudden death and heart failure include genetics, age, lifestyle, and other environmental factors. The study assessed electrocardiography (ECG) traits in BXD mice and explored associated quantitative trait loci (QTLs). Five-minute electrocardiograms were recorded in 44 BXD strains at 4-5 mo of age (n ≥ 5 mice/sex/strain). ECG and arrhythmia traits were associated with echocardiography, blood pressure, genome, and heart transcriptome data followed by expression QTL mapping. A significant variability in ECG parameters and arrhythmias was recorded among BXDs. Among male BXDs, QRS duration was significantly associated with increased left ventricular internal diameter (LVID) and reduced ejection fraction and fractional shortening, whereas premature ventricular contractions (PVCs) were correlated with LVID, left ventricular (LV) volumes, and pulmonary vein peak pressure. In female BXDs, PVCs and premature atrial contractions (PACs) were significantly related with right ventricular ID and cardiac output. One significant QTL associated with QTc and JT durations was identified on Chromosome (Chr) 3 in male BXDs, whereas Chr 9 locus was suggestive for association with QTc and QT intervals in female mice. Gon4l was predicted as a strong candidate gene associated with repolarization abnormalities including short or long QT syndromes in humans. Study results suggested an influence of genetic background on expression of ECG parameters and arrhythmias based on significant variations of those traits between mouse strains of the BXD family. We conclude that murine BXD family can serve as a valuable reference for systems biology and comparative predictions of arrhythmia disorders.NEW & NOTEWORTHY Our study identified significant variances in ECG phenotypes and arrhythmias segregation in BXD mice. A significant quantitative trait locus (QTL) on Chromosome (Chr) 3 in the mouse genome was associated with increased QTc and JT intervals in male BXD mice. A suggestive QTL on Chr 9 associated with QT and QTc intervals was determined in female BXD mice. We identified a strong candidate gene, Gon4l, that may underlie cardiac repolarization abnormalities such as long and short QT syndromes.

BXD菌株心电图参数的遗传图谱显示3号染色体位点与心脏复极异常有关。
背景:可导致猝死和心力衰竭的心律失常的危险因素包括遗传、年龄、生活方式和其他环境因素。目的:研究BXD小鼠的心电图(ECG)特征,并探索相关的数量性状位点(qtl)。方法:4 ~ 5月龄44只BXD鼠(n≥5只/性别/品系),记录5分钟心电图。心电图和心律失常特征与超声心动图、血压、基因组和心脏转录组数据相关,随后进行表达QTL定位。结果:bxd患者在心电图参数和心律失常方面存在显著差异。在男性bxd患者中,QRS持续时间与左室内径(LVID)增加、射血分数和分数缩短显著相关,而室性早搏(PVCs)与LVID、左室容积和肺静脉峰值压相关。在女性bxd中,室性早搏和房性早搏(PACs)与右心室ID和心输出量显著相关。在雄性BXDs中,在染色体(Chr) 3上发现了一个与QTc和JT持续时间相关的显著QTL,而在雌性BXDs中,Chr 9位点提示与QTc和QT间期相关。Gon4l被预测为与复极异常相关的强候选基因,包括人类短QT间期综合征或长QT间期综合征。结论:基于BXD家族小鼠品系之间的显著差异,研究结果提示遗传背景对心电参数和心律失常的表达有影响。我们认为,小鼠BXD家族可以作为系统生物学和心律失常比较预测的有价值的参考。
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
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
期刊介绍: The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.
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