Siyu Wang, Petra Lenzini, Bharat Thyagarajan, Joseph H Lee, Badri N Vardarajan, Anatoli Yashin, Iva Miljkovic, E Warwick Daw, Shiow J Lin, Gary J Patti, Michael R Brent, Joseph M Zmuda, Thomas T Perls, Kaare Christensen, Michael A Province, Ping An
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引用次数: 0
摘要
糖化血红蛋白(HbA1c)表明三个月的平均血糖水平,与胰岛素抵抗和2型糖尿病(T2D)有关。循环HbA1c的纵向变化(ΔHbA1c)也与衰老过程、认知能力和死亡率有关。我们分析了来自长寿家庭研究(LLFS)的1886名非糖尿病欧洲人的ΔHbA1c,以发现影响ΔHbA1c的基因位点。采用多协变量调整后的生长曲线模型,推导出ΔHbA1c并进行连锁引导序列分析。我们的全基因组连锁扫描在17p12上发现了一个重要的位点。深入分析发现,基因座ARHGAP44 (rs56340929,解释27%的连锁峰)与ΔHbA1c显著相关。有趣的是,ARHGAP44的RNA转录在LLFS中也与ΔHbA1c显著相关,这一发现在Framingham Offspring Study (FOS)的基因水平上是可复制的。综上所述,我们成功地在没有T2D的家庭成员中发现了ΔHbA1c的一个新的基因位点ARHGAP44。在大型独立队列中使用纵向组学数据的进一步随访研究是有必要的。
Evidence of a novel gene locus ARHGAP44 for longitudinal change in hemoglobin A1c levels among subjects without diabetes from the Long Life Family Study.
Glycated hemoglobin A1c (HbA1c) indicates average glucose levels over 3 mo and is associated with insulin resistance and type 2 diabetes (T2D). Longitudinal change in circulating HbA1c (ΔHbA1c) is also associated with aging processes, cognitive performance, and mortality. We analyzed ΔHbA1c in 1,886 nondiabetic Europeans from the Long Life Family Study (LLFS) to uncover gene loci influencing ΔHbA1c. Using growth curve modeling adjusted for multiple covariates, we derived ΔHbA1c and conducted linkage-guided sequence analysis. Our genome-wide linkage scan identified a significant locus on 17p12. In-depth analysis revealed a gene locus ARHGAP44 (rs56340929, explaining 27% of the linkage peak) that was significantly associated with ΔHbA1c. Interestingly, RNA transcription of ARHGAP44 was also significantly associated with ΔHbA1c in the LLFS, and this discovery was replicable on the gene locus level in the Framingham Offspring Study (FOS). Taking together, we successfully identified a novel gene locus ARHGAP44 for ΔHbA1c in family members without T2D. Further follow-up studies using longitudinal omics data in large independent cohorts are warranted.NEW & NOTEWORTHY HbA1c is clinically used in T2D diagnosis and monitoring. Its longitudinal change (ΔHbA1c) is associated with T2D-related aging processes and mortality. Targeted association tests under significant linkage peaks in extended families permit identification of unique gene loci. We uncovered a novel gene locus ARHGAP44 for ΔHbA1c with gene-level validations from the FOS and RNAseq data in the LLFS. The finding provides genetically informed biological insight into mechanistic inference of glycemia/HbA1c homeostasis and potential T2D pathophysiology.
期刊介绍:
The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.