title: A multi-tissue analysis identifies HLA complex group 9 gene methylation differences in bipolar disorder.
abstract: Epigenetic studies of DNA and histone modifications represent a new and important activity in molecular investigations of human disease. Our previous epigenome-wide scan identified numerous DNA methylation differences in post-mortem brain samples from individuals affected with major psychosis. In this article, we present the results of fine mapping DNA methylation differences at the human leukocyte antigen (HLA) complex group 9 gene (HCG9) in bipolar disorder (BPD). Sodium bisulfite conversion coupled with pyrosequencing was used to interrogate 28 CpGs spanning ∼700 bp region of HCG9 in 1402 DNA samples from post-mortem brains, peripheral blood cells and germline (sperm) of bipolar disease patients and controls. The analysis of nearly 40 000 CpGs revealed complex relationships between DNA methylation and age, medication as well as DNA sequence variation (rs1128306). Two brain tissue cohorts exhibited lower DNA methylation in bipolar disease patients compared with controls at an extended HCG9 region (P=0.026). Logistic regression modeling of BPD as a function of rs1128306 genotype, age and DNA methylation uncovered an independent effect of DNA methylation in white blood cells (odds ratio (OR)=1.08, P=0.0077) and the overall sample (OR=1.24, P=0.0011). Receiver operating characteristic curve A prime statistics estimated a 69-72% probability of correct BPD prediction from a case vs control pool. Finally, sperm DNA demonstrated a significant association (P=0.018) with BPD at one of the regions demonstrating epigenetic changes in the post-mortem brain and peripheral blood samples. The consistent multi-tissue epigenetic differences at HCG9 argue for a causal association with BPD.
authors.affiliation: The Krembil Family Epigenetics Laboratory, Neuroscience Department, Centre for Addiction and Mental Health, Toronto, ON, Canada.
authors.forename: Z
authors.initials: Z
authors.lastname: Kaminsky
authors.forename: M
authors.initials: M
authors.lastname: Tochigi
authors.forename: P
authors.initials: P
authors.lastname: Jia
authors.forename: M
authors.initials: M
authors.lastname: Pal
authors.forename: J
authors.initials: J
authors.lastname: Mill
authors.forename: A
authors.initials: A
authors.lastname: Kwan
authors.forename: I
authors.initials: I
authors.lastname: Ioshikhes
authors.forename: J B
authors.initials: JB
authors.lastname: Vincent
authors.forename: J L
authors.initials: JL
authors.lastname: Kennedy
authors.forename: J
authors.initials: J
authors.lastname: Strauss
authors.forename: S
authors.initials: S
authors.lastname: Pai
authors.forename: S-C
authors.initials: SC
authors.lastname: Wang
authors.forename: A
authors.initials: A
authors.lastname: Petronis
mesh_terms: D000328:Adult; D000367:Age Factors; D001714:Bipolar Disorder / Q000097:blood / Q000235:genetics* / Q000378:metabolism*; D001921:Brain / Q000378:metabolism; D016022:Case-Control Studies; D019175:DNA Methylation / Q000235:genetics*; D005260:Female; D005838:Genotype; D006801:Humans; D008297:Male; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide; D062085:RNA, Long Noncoding; D022661:RNA, Untranslated / Q000235:genetics / Q000378:metabolism*; D013094:Spermatozoa / Q000378:metabolism
chemical_list: C089801:HCG9 non-protein coding RNA, human; D062085:RNA, Long Noncoding; D022661:RNA, Untranslated