Genome-wide meta-analysis finds the ACSL5-ZDHHC6 locus is associated with ALS and links weight loss to the disease genetics
Publication Details
Iacoangeli, A.,
Lin, T.,
Al-Khleifat, A.,
Jones, A. R.,
Opie-Martin, S.,
Coleman, J. R.,
Shatunov, A.,
Sproviero, W.,
Williams, K. L.,
Garton, F.,
Restuadi, R.,
Henders, A. K.,
Mather, K. A.,
Needham, M.,
Mathers, S.,
Nicholson, G. A.,
Rowe, D. B.,
Henderson, R.,
McCombe, P. A.,
Pamphlett, R.,
Blair, I. P.,
Schultz, D.,
Sachdev, P.,
Newhouse, S. J.,
Proitsi, P.,
Fogh, I.,
Ngo, S. T.,
Dobson, R. L.,
Wray, N. R.,
Steyn, F. J.,
&
Al-Chalabi, A.
(2020).
Genome-wide meta-analysis finds the ACSL5-ZDHHC6 locus is associated with ALS and links weight loss to the disease genetics.
Cell Reports, 33 (4).
Abstract
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 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.
Keywords
amyotrophic lateral sclerosis, motor neuron disease, cross-ethnic meta-analysis, weight loss, genome-wide association study, genetics, genomics, eQTLs, fat-free mass, longitudinal study
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