Literature DB >> 30611784

Preprodynorphin gene mutation causes progressive cardiac conduction disease: A whole-exome analysis of a pedigree.

Jian-Yao Su1, Rong-Feng Zhang1, Ying-Xue Dong1, Ming-Hui Yang1, Xiao-Meng Yin1, Lian-Jun Gao1, Hui-Hua Li2, Yun-Long Xia3, Yan-Zong Yang4.   

Abstract

AIMS: Progressive cardiac conduction disease (PCCD) is a rare heart disease that usually shows familial inheritance. Potential genetic risk factors for PCCD have been mostly limited to genes that encode ion channels, cardiac transcription factors, T-box transcription factors, gap junction proteins, energy metabolism regulators and structural proteins. MAIN
METHODS: Subjects in the present study came from a family who exhibited the autosomal dominant inheritance of PCCD. The primary proband had syncope and an electrocardiogram typical for PCCD, which started in the left bundle branch block, and passed to the atrioventricular block. The patient received a permanent pacemaker in 2013. Pathogenic mutations in the proband's family were identified using whole-exome sequencing and Sanger sequencing. KEY
FINDINGS: The results for the family members were verified using Sanger sequencing, while the results for healthy unrelated individuals were verified using SNaPShot. All patients in the family shared two adjacent missense mutations in the preprodynorphin (PDYN) gene (c.581A > T, c.580G > C; p.D194L). SIGNIFICANCE: The PDYN double mutation c.581A > T and c.580G > C (p.D194L) may be linked to the onset of familial PCCD. The effects of these mutations on electrophysiology require further investigation.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Familial; Gene mutation; PDYN; Progressive cardiac conduction disease; Whole-exome sequencing

Mesh:

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Year:  2019        PMID: 30611784     DOI: 10.1016/j.lfs.2018.12.062

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  1 in total

1.  Reevaluating the Mutation Classification in Genetic Studies of Bradycardia Using ACMG/AMP Variant Classification Framework.

Authors:  Liting Cheng; Xiaoyan Li; Lin Zhao; Zefeng Wang; Junmeng Zhang; Zhuo Liang; Yongquan Wu
Journal:  Int J Genomics       Date:  2020-02-25       Impact factor: 2.326

  1 in total

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