Genetic spectrum of sarcoglycanopathies in a cohort of Russian patients

生物 遗传学 基因 等位基因 入射(几何) 等位基因频率 光学 物理
作者
Maria Bulakh,Daria Polyakova,Е. Л. Дадали,G. N. Rudenskaya,И. В. Шаркова,Т. В. Маркова,Aysylu Murtazina,Nina Demina,С. В. Курбатов,Natalia Nikitina,Vasilisa Udalova,Aleksander Polyakov,О. П. Рыжкова
出处
期刊:Gene [Elsevier BV]
卷期号:927: 148680-148680 被引量:1
标识
DOI:10.1016/j.gene.2024.148680
摘要

Sarcoglycanopathies encompass four distinct forms of limb-girdle muscular dystrophies (LGMD), denoted as LGMD R3-R6, arising from mutations within the SGCA, SGCB, SGCG, and SGCD genes. The global prevalence of sarcoglycanopathies is low, making it challenging to study these diseases. The principal objective of this study was to explore the spectrum of mutations in a cohort of Russian patients with sarcoglycanopathies and to ascertain the frequency of these conditions in the Russian Federation. We conducted a retrospective analysis of clinical and molecular genetic data from 49 Russian patients with sarcoglycan genes variants. The results indicated that variants in the SGCA gene were found in 71.4% of cases, with SGCB and SGCG genes each exhibiting variants in 12.2 % of patients. SGCD gene variants were detected in 4.1% of cases. Bi-allelic pathogenic and likely pathogenic variants were identified in 46 of the 49 cases of sarcoglycanopathies: LGMD R3 (n = 34), LGMD R4 (n = 4), LGMD R5 (n = 6), and LGMD R6 (n = 2). A total of 31 distinct variants were identified, comprising 25 previously reported and 6 novel variants. Two major variants, c.229C>T and c.271G>A, were detected within the SGCA, constituting 61.4% of all mutant alleles in Russian patients with LGMD R3. Both LGMD R6 cases were caused by the homozygous nonsense variant c.493C>T p.(Arg165Ter) in the SGCD gene. The incidence of sarcoglycanopathies in the Russian Federation was estimated to be at least 1 in 4,115,039, which is lower than the reported incidence in other populations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
三七二十一完成签到 ,获得积分10
3秒前
善良丑完成签到 ,获得积分10
3秒前
流觞俊秀完成签到 ,获得积分10
4秒前
NexusExplorer应助科研通管家采纳,获得10
5秒前
5秒前
小二郎应助科研通管家采纳,获得10
5秒前
蘑菇完成签到,获得积分10
7秒前
momo完成签到,获得积分10
8秒前
Copyright应助小祝没吃饱采纳,获得10
9秒前
Eric完成签到,获得积分10
10秒前
11秒前
lyyu完成签到 ,获得积分10
14秒前
坐山客完成签到,获得积分10
16秒前
17秒前
111发布了新的文献求助10
22秒前
lingdage完成签到,获得积分10
24秒前
wildeager完成签到,获得积分10
28秒前
ceploup完成签到,获得积分10
30秒前
虚拟的冰双完成签到,获得积分10
31秒前
上善若水呦完成签到 ,获得积分10
32秒前
fallrain完成签到 ,获得积分10
32秒前
专注的网络完成签到 ,获得积分10
35秒前
蔡晓华完成签到,获得积分10
35秒前
Yanping完成签到,获得积分10
39秒前
Vexolve完成签到 ,获得积分10
41秒前
Lotus完成签到,获得积分10
43秒前
LLin完成签到,获得积分10
43秒前
wanderer完成签到 ,获得积分10
44秒前
JUAN完成签到,获得积分10
45秒前
luo完成签到 ,获得积分10
47秒前
花花2024完成签到 ,获得积分10
47秒前
一人完成签到,获得积分10
48秒前
王不凡完成签到 ,获得积分10
48秒前
able完成签到 ,获得积分10
50秒前
震动的鹏飞完成签到 ,获得积分10
53秒前
憨批发布了新的文献求助10
55秒前
Cell完成签到 ,获得积分10
55秒前
不安蜜蜂完成签到,获得积分10
56秒前
银河里完成签到 ,获得积分10
57秒前
鲁卓林完成签到,获得积分10
59秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7252936
求助须知:如何正确求助?哪些是违规求助? 8875060
关于积分的说明 18734625
捐赠科研通 6933491
什么是DOI,文献DOI怎么找? 3199831
关于科研通互助平台的介绍 2374606
邀请新用户注册赠送积分活动 2174506