Literature DB >> 30355507

Genetic modifiers of age-at-onset in polyglutamine diseases.

Zhao Chen1, Jorge Sequeiros2, Beisha Tang3, Hong Jiang4.   

Abstract

Polyglutamine (polyQ) diseases are a group of clinically and genetically heterogeneous neurodegenerative diseases. Expansion size correlates with age-at-onset (AO) and severity, and shows a critical threshold for each polyQ disease. Although an expanded CAG tract is sufficient to trigger disease, not all variation in AO is explained by (CAG)n length, which suggests the contribution of other modifying factors. Methods used to identify genetic modifiers in polyQ diseases have progressed from candidate genes to unbiased genome-wide searches. Inconsistency of results from candidate-genes studies are partly explained by sample size, study design and variable population frequency of "polymorphisms"; a genome-wide search may help elucidating more precise disease mechanisms underlying specific interaction networks. We review known genetic modifiers for polyQ diseases, and discuss developing strategies to find modulation, from common variants to networks disclosing small cumulative effects of key genes and modifying pathways. This may lead to a better understanding of genotype-phenotype correlation and the proposal of new potential targets for therapeutical interventions.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Age-At-Onset; Candidate gene; GWAS; Genetic modifier; High-Throughput technology; Polyglutamine disease

Mesh:

Substances:

Year:  2018        PMID: 30355507     DOI: 10.1016/j.arr.2018.10.004

Source DB:  PubMed          Journal:  Ageing Res Rev        ISSN: 1568-1637            Impact factor:   10.895


  4 in total

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Authors:  Fanny Roth; Jamila Dhiab; Alexis Boulinguiez; Hadidja-Rose Mouigni; Saskia Lassche; Elisa Negroni; Laura Muraine; Alix Marhic; Alison Oliver; Jeanne Lainé; Andrée Rouche; Erin K O'Ferrall; Baziel van Engelen; Coen Ottenheijm; Hagar Greif; Sergiu Blumen; Jean Lacau St Guily; Sophie Perie; Gillian Butler-Browne; Vincent Mouly; Capucine Trollet
Journal:  Acta Neuropathol       Date:  2022-10-05       Impact factor: 15.887

2.  The progression rate of spinocerebellar ataxia type 3 varies with disease stage.

Authors:  Linliu Peng; Yun Peng; Zhao Chen; Chunrong Wang; Zhe Long; Huirong Peng; Yuting Shi; Lu Shen; Kun Xia; Vanessa B Leotti; Laura Bannach Jardim; Beisha Tang; Rong Qiu; Hong Jiang
Journal:  J Transl Med       Date:  2022-05-14       Impact factor: 8.440

3.  Gene-Related Cerebellar Neurodegeneration in SCA3/MJD: A Case-Controlled Imaging-Genetic Study.

Authors:  Huirong Peng; Xiaochun Liang; Zhe Long; Zhao Chen; Yuting Shi; Kun Xia; Li Meng; Beisha Tang; Rong Qiu; Hong Jiang
Journal:  Front Neurol       Date:  2019-09-24       Impact factor: 4.003

4.  Phenotypic variance in monozygotic twins with SCA3.

Authors:  Hua Zhao; Lu Yang; Yi Dong; Zhi-Ying Wu
Journal:  Mol Genet Genomic Med       Date:  2020-07-29       Impact factor: 2.183

  4 in total

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