Literature DB >> 30891880

(CAG)n loci as genetic modifiers of age at onset in patients with spinocerebellar ataxia type 1 from mainland China.

P Wang1, Z Chen1, Y Peng1, L Cao2, X Li3, C Wang1, H Yang1, H Peng1, Y Shi1, X Zhou1, T Li1, L Feng3, C Wu3, R Qiu4, K Xia5, B Tang1,5,6,7,8,9,10, H Jiang1,5,6,7,11.   

Abstract

BACKGROUND AND
PURPOSE: The expanded repeat length in ATXN1 negatively correlates with age at onset (AAO) of spinocerebellar ataxia type 1 (SCA1) but can explain only part of it, indicating that other factors affect AAO. Some studies have explored the influence of non-causative CAG repeats on the AAO of SCA patients. However, studies on Chinese SCA1 patients regarding candidate modifier factors involved in the variability in AAO are rare.
METHODS: In all, 152 Chinese SCA1 patients who were genotyped for ATXN1 and nine other (CAG)n -containing genes were enrolled. Regression analysis was performed to determine the effect of the expanded allele of ATXN1 (linear and quadratic effects) on AAO. Then, different models were used to explore the modulatory effect of nine other (CAG)n -containing genes.
RESULTS: Our results verified the negative effect of the expanded allele in ATXN1 by regression analysis. Some (CAG)n -containing genes including TBP, ATN1 and HTT modified AAO with variance ranging from 0.8% to 3.8% and tended to decrease or delay AAO. However, no modifier effects of ATXN2, ATXN3, CACNA1A, ATXN7, KCNN3, RAI1 and normal ATXN1 alleles in trans were detected.
CONCLUSION: By using interaction analyses, TBP, ATN1 and HTT were determined to have modifying effects. Our study revealed that differences in modulation may be due to ethnic and geographic diversity across different populations. Furthermore, the variability of AAO was not completely explained by the genetic modifiers examined here, suggesting that other genetic or environmental factors are involved in these diseases.
© 2019 EAN.

Entities:  

Keywords:  zzm321990AAOzzm321990; SCA1; modifier; polyglutamine

Year:  2019        PMID: 30891880     DOI: 10.1111/ene.13954

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  2 in total

1.  PhenoModifier: a genetic modifier database for elucidating the genetic basis of human phenotypic variation.

Authors:  Hong Sun; Yangfan Guo; Xiaoping Lan; Jia Jia; Xiaoshu Cai; Guoqing Zhang; Jingjing Xie; Qian Liang; Yixue Li; Guangjun Yu
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

2.  Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 3.

Authors:  Danlei Ru; Jinchen Li; Ouyi Xie; Linliu Peng; Hong Jiang; Rong Qiu
Journal:  Front Neuroinform       Date:  2022-08-30       Impact factor: 3.739

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.