Center for Medical Genomics OMICRON, Jagiellonian University Medical College, Kraków, Poland.
The Ohio State University Wexner Medical Center, Department of Cancer Biology and Genetics, Columbus, OH, USA.
BMC Med Genomics. 2020 Jul 7;13(1):97. doi: 10.1186/s12920-020-00752-7.
BMI is a strong indicator of complications from type I diabetes, especially under intensive treatment.
We have genotyped 435 type 1 diabetics using Illumina Infinium Omni Express Exome-8 v1.4 arrays and performed mitoGWAS on BMI. We identified additive interactions between mitochondrial and nuclear variants in genes associated with mitochondrial functioning MitoCarta2.0 and confirmed and refined the results on external cohorts: the Framingham Heart Study (FHS) and GTEx data. Linear mixed model analysis was performed using the GENESIS package in R/Bioconductor.
We find a borderline significant association between the mitochondrial variant rs28357980, localized to MT-ND2, and BMI (β = - 0.69, p = 0.056). This BMI association was confirmed on 1889 patients from FHS cohort (β = - 0.312, p = 0.047). Next, we searched for additive interactions between mitochondrial and nuclear variants. MT-ND2 variants interacted with variants in the genes SIRT3, ATP5B, CYCS, TFB2M and POLRMT. TFB2M is a mitochondrial transcription factor and together with TFAM creates a transcription promoter complex for the mitochondrial polymerase POLRMT. We have found an interaction between rs3021088 in MT-ND2 and rs6701836 in TFB2M leading to BMI decrease (inter_pval = 0.0241), while interaction of rs3021088 in MT-ND2 and rs41542013 in POLRMT led to BMI increase (inter_pval = 0.0004). The influence of these interactions on BMI was confirmed in external cohorts.
Here, we have shown that variants in the mitochondrial genome as well as additive interactions between mitochondrial and nuclear SNPs influence BMI in T1DM and general cohorts.
体重指数(BMI)是 1 型糖尿病并发症的重要指标,尤其是在强化治疗下。
我们使用 Illumina Infinium Omni Express Exome-8 v1.4 阵列对 435 名 1 型糖尿病患者进行了基因分型,并对 BMI 进行了线粒体全基因组关联研究(mitoGWAS)。我们鉴定了与线粒体功能相关的基因(MitoCarta2.0)中核与线粒体变异体之间的加性相互作用,并在外部队列中进行了验证和优化:弗雷明汉心脏研究(Framingham Heart Study,FHS)和 GTEx 数据。使用 R/Bioconductor 中的 GENESIS 包进行线性混合模型分析。
我们发现线粒体变异体 rs28357980 与 BMI 之间存在边缘显著关联,该变异体位于 MT-ND2 基因上(β=−0.69,p=0.056)。这一 BMI 关联在来自 FHS 队列的 1889 名患者中得到了验证(β=−0.312,p=0.047)。接下来,我们搜索了线粒体和核变异体之间的加性相互作用。MT-ND2 变异体与 SIRT3、ATP5B、CYCS、TFB2M 和 POLRMT 基因的变异体相互作用。TFB2M 是一种线粒体转录因子,与 TFAM 一起形成线粒体聚合酶 POLRMT 的转录启动复合物。我们发现 MT-ND2 中的 rs3021088 与 TFB2M 中的 rs6701836 之间存在相互作用,导致 BMI 下降(inter_pval=0.0241),而 MT-ND2 中的 rs3021088 与 POLRMT 中的 rs41542013 之间的相互作用导致 BMI 增加(inter_pval=0.0004)。这些相互作用对 BMI 的影响在外部队列中得到了验证。
本研究表明,线粒体基因组中的变异以及线粒体与核 SNP 之间的加性相互作用,影响 1 型糖尿病和一般人群的 BMI。