Clinical EpigeneticsGenetic & Genomic MedicinePeer-reviewed journal article
Epigenetic profiling of Italian patients identified methylation sites associated with hereditary Transthyretin amyloidosis
Antonella De LilloiD, Gita A. PathakiD, Flavio De AngelisiD, Marco Di Girolamo, Marco LuigettiiD, Mario SabatelliiD, Federico PerfettoiD, Sabrina Frusconi, Dario ManfellottoiD, Maria Fuciarelli, Renato A PolimantiiD
Abstract
Hereditary Transthyretin (TTR) Amyloidosis (hATTR) is a rare life-threatening disorder caused by amyloidogenic coding mutations located in TTR gene. To understand the high phenotypic variability observed among carriers of TTR disease-causing mutations, we conducted an epigenome-wide association study (EWAS) assessing more than 700,000 methylation sites and testing epigenetic difference of TTR coding mutation carriers vs. non-carriers, We observed a significant methylation change at cg09097335 site located in Beta-secretase 2 (BACE2) gene (beta =-0.60, p=6.26x10-8). This gene is involved in a protein interaction network enriched for biological processes and molecular pathways related to amyloid-beta metabolism (Gene Ontology:0050435, q=0.007), amyloid fiber formation (Reactome HSA-977225, q=0.008), and Alzheimers disease (KEGG hsa05010, q=2.2x10-4). Additionally, TTR and BACE2 share APP (Amyloid-beta precursor protein) as a validated protein interactor. Within TTR gene region, we observed that Val30Met disrupts a methylation site, cg13139646, causing a drastic hypomethylation in carriers of this amyloidogenic mutation (beta=-2.18, p=3.34x10-11). Cg13139646 showed co-methylation with cg19203115 (r2=0.32), which showed significant epigenetic differences between symptomatic and asymptomatic carriers of amyloidogenic mutations (beta=-0.56, p=8.6x10-4). In conclusion, we provide novel insights related to the molecular mechanisms involved in the complex heterogeneity of hATTR, highlighting the role of epigenetic regulation in this rare disorder.
- organism: human
- assay: DNA methylation
- research focus: differential expression
- approach: statistical model
- Citations
- 19
- FWCI
- 0.89
- Field percentile
- top 29%
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