Statistical and Genomic Epidemiology Laboratory, School of Biomedical Sciences, Faculty of Health and Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia.
Hum Genet. 2023 Aug;142(8):1149-1172. doi: 10.1007/s00439-023-02532-6. Epub 2023 Feb 20.
The co-occurrence of migraine and glycemic traits has long been reported in observational epidemiological studies, but it has remained unknown how they are linked genetically. We used large-scale GWAS summary statistics on migraine, headache, and nine glycemic traits in European populations to perform cross-trait analyses to estimate genetic correlation, identify shared genomic regions, loci, genes, and pathways, and test for causal relationships. Out of the nine glycemic traits, significant genetic correlation was observed for fasting insulin (FI) and glycated haemoglobin (HbA1c) with both migraine and headache, while 2-h glucose was genetically correlated only with migraine. Among 1703 linkage disequilibrium (LD) independent regions of the genome, we found pleiotropic regions between migraine and FI, fasting glucose (FG), and HbA1c, and pleiotropic regions between headache and glucose, FI, HbA1c, and fasting proinsulin. Cross-trait GWAS meta-analysis with glycemic traits, identified six novel genome-wide significant lead SNPs with migraine, and six novel lead SNPs with headache (P < 5.0 × 10 and P < 1 × 10), all of which were LD-independent. Genes with a nominal gene-based association (P ≤ 0.05) were significantly enriched (overlapping) across the migraine, headache, and glycemic traits. Mendelian randomisation analyses produced intriguing, but inconsistent, evidence for a causal relationship between migraine and headache with multiple glycemic traits; and consistent evidence suggesting increased fasting proinsulin levels may causally decrease the risk of headache. Our findings indicate that migraine, headache, and glycemic traits share a common genetic etiology and provide genetic insights into the molecular mechanisms contributing to their comorbid relationship.
偏头痛和血糖特征的同时出现早已在观察性流行病学研究中得到报道,但它们在遗传上是如何联系的仍然未知。我们使用了欧洲人群中关于偏头痛、头痛和九种血糖特征的大规模 GWAS 汇总统计数据来进行跨特征分析,以估计遗传相关性、确定共享的基因组区域、基因座、基因和途径,并检验因果关系。在这九种血糖特征中,空腹胰岛素(FI)和糖化血红蛋白(HbA1c)与偏头痛和头痛都有显著的遗传相关性,而 2 小时血糖仅与偏头痛有遗传相关性。在基因组的 1703 个独立于连锁不平衡(LD)的区域中,我们发现了偏头痛与 FI、空腹血糖(FG)和 HbA1c 之间存在多效性区域,以及头痛与血糖、FI、HbA1c 和空腹胰岛素原之间存在多效性区域。跨特征 GWAS 荟萃分析与血糖特征,确定了偏头痛和头痛的六个新的全基因组显著的先导 SNP(P < 5.0 × 10 和 P < 1 × 10),这些 SNP 均与 LD 无关。具有名义基因关联(P ≤ 0.05)的基因在偏头痛、头痛和血糖特征中显著富集(重叠)。孟德尔随机化分析对偏头痛和头痛与多种血糖特征之间的因果关系产生了有趣但不一致的证据;一致的证据表明,空腹胰岛素原水平的升高可能会导致头痛风险降低。我们的研究结果表明,偏头痛、头痛和血糖特征具有共同的遗传病因,并为导致它们共病关系的分子机制提供了遗传见解。