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Genome-wide study of DNA methylation in Amyotrophic Lateral Sclerosis identifies differentially methylated loci and implicates metabolic, inflammatory and cholesterol pathways

Hop, P. J.; Zwamborn, R. A. J.; Hannon, E.; Shireby, G. L.; Nabais, M. F.; Walker, E. M.; van Rheenen, W.; van Vugt, J. J. F. A.; Dekker, A. M.; Westeneng, H.-J.; Tazelaar, G. H.; van Eijk, K. R.; Moisse, M.; Baird, D.; Al Khleifat, A.; Iacoangeli, A.; Ticozzi, N.; Ratti, A.; Cooper-Knock, J.; Morrison, K. E.; Shaw, P. J.; Basak, A. N.; Chio, A.; Calvo, A.; Moglia, C.; Canosa, A.; Brunetti, M.; Grassano, M.; Gotkine, M.; Lerner, Y.; Zabari, M.; Vourc'h, P.; Corcia, P.; Couratier, P.; Mora Pardina, J. S.; Salas, T.; Dion, P.; Ross, J. P.; Henderson, R. D.; Mathers, S.; McCombe, P. A.; Needham,

2021-03-24 neurology
10.1101/2021.03.12.21253115 medRxiv
Show abstract

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with an estimated heritability of around 50%. DNA methylation patterns can serve as biomarkers of (past) exposures and disease progression, as well as providing a potential mechanism that mediates genetic or environmental risk. Here, we present a blood-based epigenome-wide association study (EWAS) meta-analysis in 10,462 samples (7,344 ALS patients and 3,118 controls), representing the largest case-control study of DNA methylation for any disease to date. We identified a total of 45 differentially methylated positions (DMPs) annotated to 42 genes, which are enriched for pathways and traits related to metabolism, cholesterol biosynthesis, and immunity. We show that DNA-methylation-based proxies for HDL-cholesterol, BMI, white blood cell (WBC) proportions and alcohol intake were independently associated with ALS. Integration of these results with our latest GWAS showed that cholesterol biosynthesis was causally related to ALS. Finally, we found that DNA methylation levels at several DMPs and blood cell proportion estimates derived from DNA methylation data, are associated with survival rate in patients, and could represent indicators of underlying disease processes.

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