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Role of genetics in amyotrophic lateral sclerosis: a large cohort study in Chinese mainland population. | LitMetric

AI Article Synopsis

  • * The research identified 155 patients with rare pathogenic variants linked to ALS, with specific genes showing a higher mutation frequency and certain variants associated with increased disease risk and poor prognosis.
  • * Findings indicate that understanding ALS genetics in diverse populations, like those in China, can inform genetic testing strategies and enhance the evaluation of disease outcomes.

Article Abstract

Background: A large number of new causative and risk genes for amyotrophic lateral sclerosis (ALS) have been identified mostly in patients of European ancestry. In contrast, we know relatively little regarding the genetics of ALS in other ethnic populations. This study aims to provide a comprehensive analysis of the genetics of ALS in an unprecedented large cohort of Chinese mainland population and correlate with the clinical features of rare variants carriers.

Methods: A total of 1587 patients, including 64 familial ALS (FALS) and 1523 sporadic ALS (SALS), and 1866 in-house controls were analysed by whole-exome sequencing and/or testing for G4C2 repeats in . Forty-one ALS-associated genes were analysed.

Findings: 155 patients, including 26 (40.6%) FALS and 129 (8.5%) SALS, carrying rare pathogenic/likely pathogenic (P/LP) variants of ALS causative genes were identified. was the most common mutated gene, followed by , , , and . By burden analysis, rare variants in , and contributed to the collective risk for ALS (p<2.5e-6) at the gene level, but at the allelic level p.Gly294Val and p.Arg521Cys and p.Arg521His were the most important single variants causing ALS. Clinically, P/LP variants in and were associated with poor prognosis, in linked with younger age of onset, and repeats tended to affect cognition.

Conclusions: Our data provide essential information for understanding the genetic and clinical features of ALS in China and for optimal design of genetic testing and evaluation of disease prognosis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411893PMC
http://dx.doi.org/10.1136/jmedgenet-2021-107965DOI Listing

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