School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA.
Genes (Basel). 2020 Feb 29;11(3):268. doi: 10.3390/genes11030268.
Observational epidemiological studies indicate that endometriosis and migraine co-occur within individuals more than expected by chance. However, the aetiology and biological mechanisms underlying their comorbidity remain unknown. Here we examined the relationship between endometriosis and migraine using genome-wide association study (GWAS) data. Single nucleotide polymorphism (SNP) effect concordance analysis found a significant concordance of SNP risk effects across endometriosis and migraine GWAS. Linkage disequilibrium score regression analysis found a positive and highly significant genetic correlation ( = 0.38, = 2.30 × 10) between endometriosis and migraine. A meta-analysis of endometriosis and migraine GWAS data did not reveal novel genome-wide significant SNPs, and Mendelian randomisation analysis found no evidence for a causal relationship between the two traits. However, gene-based analyses identified two novel loci for migraine. Also, we found significant enrichment of genes nominally associated ( < 0.05) with both traits ( = 9.83 × 10). Combining gene-based p-values across endometriosis and migraine, three genes, two ( of which are at novel loci, were genome-wide significant. Genes having < 0.1 for both endometriosis and migraine ( = 1.85 ×10°) were significantly enriched for biological pathways, including interleukin-1 receptor binding, focal adhesion-PI3K-Akt-mTOR-signaling, MAPK and TNF-α signalling. Our findings further confirm the comorbidity of endometriosis and migraine and indicate a non-causal relationship between the two traits, with shared genetically-controlled biological mechanisms underlying the co-occurrence of the two disorders.
观察性流行病学研究表明,子宫内膜异位症和偏头痛在个体中同时发生的频率高于随机预期。然而,其共病的病因和生物学机制尚不清楚。在这里,我们使用全基因组关联研究(GWAS)数据检查了子宫内膜异位症和偏头痛之间的关系。单核苷酸多态性(SNP)效应一致性分析发现,子宫内膜异位症和偏头痛 GWAS 中 SNP 风险效应具有显著的一致性。连锁不平衡评分回归分析发现,子宫内膜异位症和偏头痛之间存在正相关且高度显著的遗传相关性( = 0.38, = 2.30×10)。子宫内膜异位症和偏头痛 GWAS 数据的荟萃分析并未揭示新的全基因组显著 SNP,孟德尔随机化分析也未发现这两种特征之间存在因果关系。然而,基于基因的分析确定了两个偏头痛的新基因座。此外,我们发现与这两种特征都有显著关联的基因( < 0.05)存在显著富集( = 9.83×10)。综合子宫内膜异位症和偏头痛的基因基础分析 p 值,有三个基因,其中两个(均位于新基因座)达到了全基因组显著水平。在子宫内膜异位症和偏头痛中都有 < 0.1 的基因( = 1.85×10°)在生物学途径中显著富集,包括白细胞介素-1 受体结合、焦点粘附-PI3K-Akt-mTOR 信号、MAPK 和 TNF-α 信号。我们的研究结果进一步证实了子宫内膜异位症和偏头痛的共病性,并表明这两种特征之间存在非因果关系,两种疾病同时发生的共同遗传控制的生物学机制。