Unit of Epidemiology, Biostatistics & Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Computational BioMedicine, Department of Mathematics & Computer Science, University of Southern Denmark, Odense, Denmark.
Epigenomics. 2020 Sep;12(17):1531-1541. doi: 10.2217/epi-2020-0033. Epub 2020 Sep 9.
Many efforts have been deployed to identify genetic variants associated with BMI. Alternatively, we explore epigenetic contribution to BMI variation by focusing on long noncoding RNAs (lncRNAs) which represents a key layer of epigenetic control. We analyzed lncRNA expression in whole blood of 229 monozygotic twin pairs in association with BMI using generalized estimating equations. Six lncRNA probes were identified as significant (false discovery rate <0.05), with BMI showing causal effects on the expression of the significant lncRNAs. Functional annotation of differential profiles identified Gene ontology biological processes including kidney development, regulations of lipid biosynthetic process, circadian rhythm, notch signaling, etc. Whole blood lncRNAs are significantly expressed in response to BMI variation.
人们已经做出了许多努力来识别与 BMI 相关的遗传变异。或者，我们通过关注长非编码 RNA（lncRNA）来探索对 BMI 变化的表观遗传贡献，lncRNA 是表观遗传调控的关键层。我们使用广义估计方程分析了 229 对同卵双胞胎全血中的 lncRNA 表达与 BMI 的关联。确定了 6 个 lncRNA 探针具有显著性（错误发现率<0.05），表明 BMI 对显著 lncRNA 的表达具有因果影响。差异谱的功能注释确定了包括肾脏发育、脂质生物合成过程调控、昼夜节律、Notch 信号等在内的基因本体生物学过程。全血 lncRNA 对 BMI 变化有显著的表达。
