Summary-data-based Mendelian Randomization Analysis Identifies Nominal Evidence for Association of N6-Methyladenosine
Md Rezanur Rahman1,2, Yuanhao Yang3, Jacob Gratten3
1Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia.
Abstract:
N6-methyladenosine (m6A) is an abundant post-transcriptional RNA modification that critically regulates brain function. Dysregulation of m6A signaling has been implicated in several neurological diseases, including Alzheimer's disease (AD). However, whether genetic variation associated with the risk of AD is mediated via m6A-dependent gene regulation is currently unknown. Here we investigated the association of m6A with the risk of AD using the summary-data-based Mendelian randomization (SMR) approach. By integrating m6A quantitative trait loci (m6A-QTLs) and genome-wide association study (GWAS) summary data for AD, we identified six nominally significant m6A-AD associations (uncorrected PSMR < 0.05, PHEIDI ≥ 0.01 with ≥5 SNPs), although none remained significant after false discovery rate (FDR) correction. We performed targeted SMR analyses for AD using brain- and blood-based expression QTL summary data, restricting instrumental variables to a set of 18,606 single nucleotide polymorphisms (SNPs) previously identified as m6A-related sites. This analysis identified 75 FDR-significant genes associated with the risk of AD via changes in gene expression (FDR < 0.05, PHEIDI ≥ 0.01 with ≥5 SNPs); however, the instrumental SNPs for these genes showed no enrichment for m6A-QTLs. In summary, we found limited evidence for the direct association of m6A genetic variation with the risk of AD. Larger m6A-QTL datasets will be required to establish whether m6A variation is associated with the risk of AD.
More Related Videos
04:41Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
09:34Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
RNA Editing
