An epigenome-wide association study of Alzheimer's disease blood highlights robust DNA hypermethylation in the HOXB6 gene.

An epigenome-wide association study of Alzheimer's disease blood highlights robust DNA hypermethylation in the HOXB6 gene.
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DOI:
10.1016/j.neurobiolaging.2020.06.023
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发表时间:
2020-11
影响因子:
4.2
通讯作者:
Lunnon K
Lunnon K
中科院分区:
医学2区
文献类型:
--
作者:
Roubroeks JAY;Smith AR;Smith RG;Pishva E;Ibrahim Z;Sattlecker M;Hannon EJ;Kłoszewska I;Mecocci P;Soininen H;Tsolaki M;Vellas B;Wahlund LO;Aarsland D;Proitsi P;Hodges A;Lovestone S;Newhouse SJ;Dobson RJB;Mill J;van den Hove DLA;Lunnon K

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A growing number of epigenome-wide association studies have demonstrated a role for DNA methylation in the brain in Alzheimer's disease. With the aim of exploring peripheral biomarker potential, we have examined DNA methylation patterns in whole blood collected from 284 individuals in the AddNeuroMed study, which included 89 nondemented controls, 86 patients with Alzheimer's disease, and 109 individuals with mild cognitive impairment, including 38 individuals who progressed to Alzheimer's disease within 1 year. We identified significant differentially methylated regions, including 12 adjacent hypermethylated probes in the HOXB6 gene in Alzheimer's disease, which we validated using pyrosequencing. Using weighted gene correlation network analysis, we identified comethylated modules of genes that were associated with key variables such as APOE genotype and diagnosis. In summary, this study represents the first large-scale epigenome-wide association study of Alzheimer's disease and mild cognitive impairment using blood. We highlight the differences in various loci and pathways in early disease, suggesting that these patterns relate to cognitive decline at an early stage. We performed an epigenome-wide assessment of DNA methylation in Alzheimer's disease, mild cognitive impairment, and control whole blood. We observed hypermethylation of HOXB6 in AD, which was validated via pyrosequencing. Network analysis (weighted gene correlation network analysis) showed differences in immune system pathways in disease.
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