Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen (UCPH), Copenhagen, Denmark.
Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Nat Metab. 2024 Oct;6(10):1897-1912. doi: 10.1038/s42255-024-01140-6. Epub 2024 Oct 17.
The genetics of β-cell function (BCF) offer valuable insights into the aetiology of type 2 diabetes (T2D). Previous studies have expanded the catalogue of BCF genetic associations through candidate gene studies, large-scale genome-wide association studies (GWAS) of fasting BCF or functional islet studies on T2D risk variants. Nonetheless, GWAS focused on BCF traits derived from oral glucose tolerance test (OGTT) data have been limited in sample size and have often overlooked the potential for related traits to capture distinct genetic features of insulin-producing β-cells. We reasoned that investigating the genetic basis of multiple BCF estimates could provide a broader understanding of β-cell physiology. Here, we aggregate GWAS data of eight OGTT-based BCF traits from ~26,000 individuals of European descent, identifying 55 independent genetic associations at 44 loci. By examining the effects of BCF genetic signals on related phenotypes, we uncover diverse disease mechanisms whereby genetic regulation of BCF may influence T2D risk. Integrating BCF-GWAS data with pancreatic islet transcriptomic and epigenomic datasets reveals 92 candidate effector genes. Gene silencing in β-cell models highlights ACSL1 and FAM46C as key regulators of insulin secretion. Overall, our findings yield insights into the biology of insulin release and the molecular processes linking BCF to T2D risk, shedding light on the heterogeneity of T2D pathophysiology.
β 细胞功能 (BCF) 的遗传学为 2 型糖尿病 (T2D) 的病因提供了有价值的见解。先前的研究通过候选基因研究、空腹 BCF 的大规模全基因组关联研究 (GWAS) 或 T2D 风险变异的功能性胰岛研究,扩展了 BCF 遗传关联目录。尽管如此,基于口服葡萄糖耐量试验 (OGTT) 数据的 BCF 特征的 GWAS 在样本量方面受到限制,并且常常忽略了相关特征可能捕获胰岛素分泌β 细胞的不同遗传特征的潜力。我们认为,研究多个 BCF 估计值的遗传基础可以更全面地了解β 细胞生理学。在这里,我们汇总了来自约 26000 名欧洲血统个体的八项基于 OGTT 的 BCF 特征的 GWAS 数据,在 44 个基因座中确定了 55 个独立的遗传关联。通过检查 BCF 遗传信号对相关表型的影响,我们揭示了多种疾病机制,其中 BCF 的遗传调控可能影响 T2D 风险。将 BCF-GWAS 数据与胰腺胰岛转录组和表观基因组数据集整合,揭示了 92 个候选效应基因。β 细胞模型中的基因沉默突出了 ACSL1 和 FAM46C 作为胰岛素分泌的关键调节因子。总的来说,我们的研究结果深入了解了胰岛素释放的生物学和将 BCF 与 T2D 风险联系起来的分子过程,揭示了 T2D 病理生理学的异质性。