cis-Methylation and Gene Expression in the NIMH Brain Tissue Collection

CM Christian P Müller
CC Congying Chu
LQ Liya Qin
CL Chunyu Liu
BX Bing Xu
HG He Gao
BR Barbara Ruggeri
SH Saskia Hieber
JS Julia Schneider
TJ Tianye Jia
NT Nicole Tay
SA Shizuo Akira
TS Takashi Satoh
TB Tobias Banaschewski
AB Arun L W Bokde
UB Uli Bromberg
CB Christian Büchel
EQ Erin Burke Quinlan
HF Herta Flor
VF Vincent Frouin
HG Hugh Garavan
PG Penny Gowland
AH Andreas Heinz
BI Bernd Ittermann
JM Jean-Luc Martinot
MM Marie-Laure Paillère Martinot
EA Eric Artiges
HL Herve Lemaitre
FN Frauke Nees
DO Dimitri Papadopoulos Orfanos
TP Tomáš Paus
LP Luise Poustka
SM Sabina Millenet
JF Juliane H Fröhner
MS Michael N Smolka
HW Henrik Walter
RW Robert Whelan
GB Georgy Bakalkin
YL Yun Liu
SD Sylvane Desrivières
PE Paul Elliott
VE Volker Eulenburg
DL Daniel Levy
FC Fulton Crews
GS Gunter Schumann
ask Ask a question
Favorite

Probes mapping all different gene variants were selected when analysing mQTL in the brain in the NIMH Brain Tissue Collection (Colantuoni et al. 2011). Raw gene expression 2-color microarray (Illumina Human 49 K Oligo array (HEEBO-7 set)) intensity data from postmortem dorsolateral prefrontal cortex (DLPFC) were downloaded (available at GSE30272) and, among them, data from individuals free from psychiatric and/or neurologic diagnoses and substance abuse according to DSM-IV were loess-normalized as described previously (Colantuoni et al. 2011). Processed and normalized DNA methylation data generated by the Illumina HumanMethylation450 microarray on samples that had both DNA methylation and expression data were also collected as described before (Jaffe et al. 2016). Expression probes were re-annotated to the hg19 genome on these samples by using the Gemma tool (Zoubarev et al. 2012) as described previously (Jaffe et al. 2016). For methylation–expression associations, we first performed PCA using the methylation site in or ±10 kb of a gene, and the PC explaining >5% of the variance were used in association analysis with the corresponding gene expression by linear regression model.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A