A gene-level methylome-wide association analysis identifies novel Alzheimer’s disease genes
Author(s) -
Chong Wu,
Jonathan R. Bradley,
Yanming Li,
Lang Wu,
HongWen Deng
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab045
Subject(s) - epigenetics , dna methylation , biology , enhancer , genetics , gene , genetic association , transcriptome , computational biology , genome wide association study , disease , gene expression , genotype , single nucleotide polymorphism , medicine , pathology
Transcriptome-wide association studies (TWAS) have successfully facilitated the discovery of novel genetic risk loci for many complex traits, including late-onset Alzheimer's disease (AD). However, most existing TWAS methods rely only on gene expression and ignore epigenetic modification (i.e., DNA methylation) and functional regulatory information (i.e., enhancer-promoter interactions), both of which contribute significantly to the genetic basis of AD.
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