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Details

Autor(en) / Beteiligte
Titel
Genome-wide Meta-analysis Finds the ACSL5-ZDHHC6 Locus Is Associated with ALS and Links Weight Loss to the Disease Genetics
Ist Teil von
  • Cell reports (Cambridge), 2020-10, Vol.33 (4), p.108323-108323, Article 108323
Ort / Verlag
United States: Elsevier Inc
Erscheinungsjahr
2020
Link zum Volltext
Quelle
Elektronische Zeitschriftenbibliothek (Open access)
Beschreibungen/Notizen
  • We meta-analyze amyotrophic lateral sclerosis (ALS) genome-wide association study (GWAS) data of European and Chinese populations (84,694 individuals). We find an additional significant association between rs58854276 spanning ACSL5-ZDHHC6 with ALS (p = 8.3 × 10−9), with replication in an independent Australian cohort (1,502 individuals; p = 0.037). Moreover, B4GALNT1, G2E3-SCFD1, and TRIP11-ATXN3 are identified using a gene-based analysis. ACSL5 has been associated with rapid weight loss, as has another ALS-associated gene, GPX3. Weight loss is frequent in ALS patients and is associated with shorter survival. We investigate the effect of the ACSL5 and GPX3 single-nucleotide polymorphisms (SNPs), using longitudinal body composition and weight data of 77 patients and 77 controls. In patients’ fat-free mass, although not significant, we observe an effect in the expected direction (rs58854276: −2.1 ± 1.3 kg/A allele, p = 0.053; rs3828599: −1.0 ± 1.3 kg/A allele, p = 0.22). No effect was observed in controls. Our findings support the increasing interest in lipid metabolism in ALS and link the disease genetics to weight loss in patients. [Display omitted] •Cross-ethnic meta-analysis finds an association between the ACSL5-ZDHHC6 locus and ALS•The ACSL5-ZDHHC6 association is replicated in an independent Australian cohort•ACSL5-ZDHHC6 lead SNP is in ACSL5 and is an eQTL of ZDHHC6 in brain tissues•ACSL5 SNPs might have an effect on fat-free mass in ALS patients Using meta-analysis of European and Chinese ALS GWAS data, Iacoangeli et al. find an association between ACSL5-ZDHHC6 and ALS risk, with replication in an Australian cohort. They identify B4GALNT1, G2E3-SCFD1, and TRIP11-ATXN3 using a gene-based analysis. They also find a suggestive association between ACSL5 SNPs and lower fat-free mass in patients.

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