当前位置: 首页 > 详情页

Identification of the CFTR c.1666A>G Mutation in Hereditary Inclusion Body Myopathy Using Next-Generation Sequencing Analysis (vol 12, 329, 2018)

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China, [2]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China, [3]Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China, [4]School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia, [5]Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
出处:
ISSN:

关键词: hereditary inclusion body myopathy next-generation sequencing CFTR mutation whole-exome sequencing

摘要:
An error was found in the first and second sentence of the original article's abstract. It had originally been published as: Hereditary inclusion body myopathy (HIBM) is a rare autosomal recessive adult onset muscle disease which affects one to three individuals per million worldwide. This disease is autosomal dominant and occurs in adulthood. The corrected sentences should read: Hereditary Inclusion Body Myopathy (HIBM) is a rare autosomal dominant or recessive adult onset muscle disease which affects one to three individuals per million worldwide. This disease is autosomal dominant or recessive and occurs in adulthood. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated. © 2018 Lu, Da, Zhang, Li, Wang, Di, Pang and Lei.

语种:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2017]版:
大类 | 2 区 医学
小类 | 3 区 神经科学
最新[2023]版:
大类 | 3 区 医学
小类 | 3 区 神经科学
JCR分区:
出版当年[2016]版:
Q2 NEUROSCIENCES
最新[2023]版:
Q2 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

第一作者:
第一作者机构: [1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China,
通讯作者:
通讯机构: [1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China, [2]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China,
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:16409 今日访问量:0 总访问量:869 更新日期:2025-01-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 首都医科大学宣武医院 技术支持:重庆聚合科技有限公司 地址:北京市西城区长椿街45号宣武医院