Methylation Quantitative Trait Loci

MR Melissa A. Richard
TH Tianxiao Huan
SL Symen Ligthart
RG Rahul Gondalia
MJ Min A. Jhun
JB Jennifer A. Brody
MI Marguerite R. Irvin
RM Riccardo Marioni
JS Jincheng Shen
PT Pei-Chien Tsai
MM May E. Montasser
YJ Yucheng Jia
CS Catriona Syme
ES Elias L. Salfati
EB Eric Boerwinkle
WG Weihua Guan
TJ Thomas H. Mosley, Jr.
JB Jan Bressler
AM Alanna C. Morrison
CL Chunyu Liu
MM Michael M. Mendelson
AU André G. Uitterlinden
JM Joyce B. van Meurs
OF Oscar H. Franco
GZ Guosheng Zhang
YL Yun Li
JS James D. Stewart
JB Joshua C. Bis
BP Bruce M. Psaty
YC Yii-Der Ida Chen
SK Sharon L.R. Kardia
WZ Wei Zhao
ST Stephen T. Turner
DA Devin Absher
SA Stella Aslibekyan
JS John M. Starr
AM Allan F. McRae
LH Lifang Hou
AJ Allan C. Just
JS Joel D. Schwartz
PV Pantel S. Vokonas
CM Cristina Menni
TS Tim D. Spector
AS Alan Shuldiner
CD Coleen M. Damcott
JR Jerome I. Rotter
WP Walter Palmas
YL Yongmei Liu
TP Tomáš Paus
SH Steve Horvath
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To determine methylation levels at CpG sites that may be influenced by nearby DNA sequence, methylation quantitative trait loci (meQTL) analyses were performed for the 13 replicated BP CpGs in EA individuals from ARIC (N = 948), FHS (N = 2,357), and RS (N = 731) and AA individuals from ARIC (N = 2,173) and GENOA (N = 422). Residuals were obtained from regressing inverse-normal transformed methylation beta values on the first ten methylation principal components (PCs) and up to the first ten genetic PCs. The residuals were then regressed on 1000 Genomes Phase I imputed SNPs within 50 kb of the probe (CpG position ± 25 kb, GRCh37/hg19). SNPs with low imputation quality (r2 < 0.3), low frequency variants (MAF < 0.05), and SNPs present in only one cohort were removed from analyses. Results for each probe were combined using race-stratified p value-based meta-analysis weighted by sample size and direction of effects using METAL.22 Significant meQTLs were determined using a Bonferroni correction for all meQTLs tested in each race (EA: 0.05/1,447 = 3.5 × 10−5; AA: 0.05/1,952 = 2.6 × 10−5). To maximize statistical power for identifying meQTLs associated with BP, we then searched the largest genome-wide association studies (GWASs) for BP in each race for suggestive association of meQTL regions with BP.

To assess the association of SNPs reported by Kato et al.23 whose association may be mediated by DNA methylation, we additionally performed meQTL analyses for 35 sentinel SNPs and additional GWAS loci in high linkage disequilibrium (LD) with these regions.3, 4, 5, 23, 24, 25, 26, 27, 28, 29, 30 We assessed the association of DNA methylation within 1 Mb (CpG position ± 500 kb) of GWAS SNPs among ARIC EAs (N = 790) using the previously described methodology. SNPs associated with methylation after Bonferroni correction for the 28 meQTLs reported by Kato et al.23 (p < 0.0018) were then assessed for association with BP before and after adjustment for methylation at the CpG site. We additionally assessed the association of these CpG sites with BP in our overall meta-analysis.

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