Hannon Eilis, Lunnon Katie, Schalkwyk Leonard, Mill Jonathan
a University of Exeter Medical School; University of Exeter ; Devon , UK.
b School of Biological Sciences; University of Essex ; Wivenhoe Park, Colchester , UK.
Epigenetics. 2015;10(11):1024-32. doi: 10.1080/15592294.2015.1100786.
Given the tissue-specific nature of epigenetic processes, the assessment of disease-relevant tissue is an important consideration for epigenome-wide association studies (EWAS). Little is known about whether easily accessible tissues, such as whole blood, can be used to address questions about interindividual epigenomic variation in inaccessible tissues, such as the brain. We quantified DNA methylation in matched DNA samples isolated from whole blood and 4 brain regions (prefrontal cortex, entorhinal cortex, superior temporal gyrus, and cerebellum) from 122 individuals. We explored co-variation between tissues and the extent to which methylomic variation in blood is predictive of interindividual variation identified in the brain. For the majority of DNA methylation sites, interindividual variation in whole blood is not a strong predictor of interindividual variation in the brain, although the relationship with cortical regions is stronger than with the cerebellum. Variation at a subset of probes is strongly correlated across tissues, even in instances when the actual level of DNA methylation is significantly different between them. A substantial proportion of this co-variation, however, is likely to result from genetic influences. Our data suggest that for the majority of the genome, a blood-based EWAS for disorders where brain is presumed to be the primary tissue of interest will give limited information relating to underlying pathological processes. These results do not, however, discount the utility of using a blood-based EWAS to identify biomarkers of disease phenotypes manifest in the brain. We have generated a searchable database for the interpretation of data from blood-based EWAS analyses ( http://epigenetics.essex.ac.uk/bloodbrain/).
鉴于表观遗传过程具有组织特异性,对于全表观基因组关联研究(EWAS)而言,评估与疾病相关的组织是一个重要的考量因素。对于像全血这样易于获取的组织是否能够用于解答诸如大脑等难以获取的组织中个体间表观基因组变异的问题,我们知之甚少。我们对从122名个体的全血以及4个脑区(前额叶皮质、内嗅皮质、颞上回和小脑)分离出的匹配DNA样本中的DNA甲基化进行了定量分析。我们探究了不同组织之间的共同变异情况,以及血液中的甲基化组变异在多大程度上能够预测在大脑中识别出的个体间变异。对于大多数DNA甲基化位点而言,全血中的个体间变异并非大脑中个体间变异的有力预测指标,尽管与皮质区域的关系要强于与小脑的关系。即使在某些情况下不同组织间DNA甲基化的实际水平存在显著差异,一部分探针的变异在不同组织间仍具有强相关性。然而,这种共同变异的很大一部分可能是由基因影响导致的。我们的数据表明,对于基因组中的大多数情况,针对那些假定大脑为主要关注组织的疾病进行基于血液的EWAS,能够提供的与潜在病理过程相关的信息有限。不过,这些结果并不否定利用基于血液的EWAS来识别大脑中表现出的疾病表型生物标志物的效用。我们已经创建了一个可搜索的数据库,用于解读基于血液的EWAS分析数据(http://epigenetics.essex.ac.uk/bloodbrain/)。