Literature DB >> 34006472

Exome sequencing reveals genetic architecture in patients with isolated or syndromic short stature.

Xin Fan1, Sen Zhao2, Chenxi Yu2, Di Wu3, Zihui Yan2, Lijun Fan3, Yanning Song3, Yi Wang3, Chuan Li4, Yue Ming5, Baoheng Gui1, Yuchen Niu6, Xiaoxin Li6, Xinzhuang Yang6, Shiyu Luo7, Qiang Zhang8, Xiuli Zhao9, Hui Pan10, Mei Li10, Weibo Xia10, Guixing Qiu11, Pengfei Liu12, Shuyang Zhang13, Jianguo Zhang14, Zhihong Wu15, James R Lupski16, Jennifer E Posey17, Shaoke Chen1, Chunxiu Gong18, Nan Wu19.   

Abstract

Short stature is among the most common endocrinological disease phenotypes of childhood and may occur as an isolated finding or in conjunction with other clinical manifestations. Although the diagnostic utility of clinical genetic testing in short stature has been implicated, the genetic architecture and the utility of genomic studies such as exome sequencing (ES) in a sizable cohort of patients with short stature have not been investigated systematically. In this study, we recruited 561 individuals with short stature from two centers in China during a 4-year period. We performed ES for all patients and available parents. All patients were retrospectively divided into two groups: an isolated short stature group (group I, n = 257) and an apparently syndromic short stature group (group II, n = 304). Causal variants were identified in 135 of 561 (24.1%) patients. In group I, 29 of 257 (11.3%) of the patients were solved by variants in 24 genes. In group II, 106 of 304 (34.9%) patients were solved by variants in 57 genes. Genes involved in fundamental cellular process played an important role in the genetic architecture of syndromic short stature. Distinct genetic architectures and pathophysiological processes underlie isolated and syndromic short stature.
Copyright © 2021 Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Exome sequencing; Genes and growth; Molecular diagnosis; Short stature; Variants

Mesh:

Year:  2021        PMID: 34006472     DOI: 10.1016/j.jgg.2021.02.008

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  4 in total

1.  PhenoApt leverages clinical expertise to prioritize candidate genes via machine learning.

Authors:  Zefu Chen; Yu Zheng; Yongxin Yang; Yingzhao Huang; Sen Zhao; Hengqiang Zhao; Chenxi Yu; Xiying Dong; Yuanqiang Zhang; Lianlei Wang; Zhengye Zhao; Shengru Wang; Yang Yang; Yue Ming; Jianzhong Su; Guixing Qiu; Zhihong Wu; Terry Jianguo Zhang; Nan Wu
Journal:  Am J Hum Genet       Date:  2022-01-20       Impact factor: 11.043

2.  Delineation of dual molecular diagnosis in patients with skeletal deformity.

Authors:  Lian Liu; Liying Sun; Yujun Chen; Muchuan Wang; Chenxi Yu; Yingzhao Huang; Sen Zhao; Huakang Du; Shaoke Chen; Xin Fan; Wen Tian; Zhihong Wu; Guixing Qiu; Terry Jianguo Zhang; Nan Wu
Journal:  Orphanet J Rare Dis       Date:  2022-03-28       Impact factor: 4.123

3.  Altered DNA methylation at age-associated CpG sites in children with growth disorders: impact on age estimation?

Authors:  F Mayer; J Becker; C Reinauer; P Böhme; S B Eickhoff; B Koop; T Gündüz; J Blum; W Wagner; S Ritz-Timme
Journal:  Int J Legal Med       Date:  2022-05-12       Impact factor: 2.791

4.  Whole Exome Sequencing Uncovered the Genetic Architecture of Growth Hormone Deficiency Patients.

Authors:  Chenxi Yu; Bobo Xie; Zhengye Zhao; Sen Zhao; Lian Liu; Xi Cheng; Xiaoxin Li; Bingyan Cao; Jiashen Shao; Jiajia Chen; Hengqiang Zhao; Zihui Yan; Chang Su; Yuchen Niu; Yanning Song; Liya Wei; Yi Wang; Xiaoya Ren; Lijun Fan; Beibei Zhang; Chuan Li; Baoheng Gui; Yuanqiang Zhang; Lianlei Wang; Shaoke Chen; Jianguo Zhang; Zhihong Wu; Chunxiu Gong; Xin Fan; Nan Wu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-09-13       Impact factor: 5.555

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.