Williamson V S, Mamdani M, McMichael G O, Kim A H, Lee D, Bacanu S, Vladimirov V I
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University,VA,USA.
Psychol Med. 2015;45(12):2557-69. doi: 10.1017/S0033291715000483. Epub 2015 Mar 30.
Schizophrenia (SZ) and bipolar disorder (BD) have substantial negative impact on the quality of human life. Both, microRNA (miRNA) expression profiling in SZ and BD postmortem brains [and genome-wide association studies (GWAS)] have implicated miRNAs in disease etiology. Here, we aim to determine whether significant GWAS signals observed in the Psychiatric Genetic Consortium (PGC) are enriched for miRNAs.
A two-stage approach was used to determine whether association signals from PGC affect miRNAs: (i) statistical assessment of enrichment using a Simes test and sum of squares test (SST) and (ii) biological evidence that quantitative trait loci (eQTL) mapping to known miRNA genes affect their expression in an independent sample of 78 postmortem brains from the Stanley Medical Research Institute.
A total of 2567 independent single nucleotide polymorphisms (SNPs) (R2 > 0.8) were mapped locally, within 1 Mb, to all known miRNAs (miRBase v. 21). We show robust enrichment for SZ- and BD-related SNPs with miRNAs using Simes (SZ: p ≤ 0.0023, BD: p ≤ 0.038), which remained significant after adjusting for background inflation in SZ (empirical p = 0.018) and approached significance in BD (empirical p = 0.07). At a false discovery rate of 10%, we identified a total of 32 eQTLs to influence miRNA expression; 11 of these overlapped with BD.
Our approach of integrating PGC findings with eQTL results can be used to generate specific hypotheses regarding the role of miRNAs in SZ and BD.
精神分裂症(SZ)和双相情感障碍(BD)对人类生活质量有重大负面影响。精神分裂症和双相情感障碍患者死后大脑中的微小RNA(miRNA)表达谱分析[以及全基因组关联研究(GWAS)]均表明miRNA与疾病病因有关。在此,我们旨在确定在精神疾病遗传联盟(PGC)中观察到的显著GWAS信号是否在miRNA中富集。
采用两阶段方法来确定PGC的关联信号是否影响miRNA:(i)使用西梅斯检验和平方和检验(SST)进行富集的统计评估,以及(ii)来自斯坦利医学研究所的78例死后大脑独立样本的生物学证据,即映射到已知miRNA基因的数量性状基因座(eQTL)影响其表达。
总共2567个独立单核苷酸多态性(SNP)(R2>0.8)在本地映射到1 Mb范围内的所有已知miRNA(miRBase v. 21)。我们使用西梅斯检验显示与miRNA相关的SZ和BD相关SNP有显著富集(SZ:p≤0.0023,BD:p≤0.038),在对SZ的背景膨胀进行校正后仍然显著(经验p = 0.018),在BD中接近显著(经验p = 0.07)。在错误发现率为10%时,我们总共鉴定出32个eQTL影响miRNA表达;其中11个与BD重叠。
我们将PGC研究结果与eQTL结果相结合的方法可用于生成关于miRNA在SZ和BD中作用的具体假设。