Exploring shared genetics between maximal oxygen uptake and disease: the HUNT study.

IF 2.5 4区 生物学 Q3 CELL BIOLOGY
Physiological genomics Pub Date : 2023-10-01 Epub Date: 2023-08-14 DOI:10.1152/physiolgenomics.00026.2023
Ada N Nordeidet, Marie Klevjer, Ulrik Wisløff, Mette Langaas, Anja Bye
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引用次数: 0

Abstract

Low cardiorespiratory fitness, measured as maximal oxygen uptake (V̇o2max), is associated with all-cause mortality and disease-specific morbidity and mortality and is estimated to have a large genetic component (∼60%). However, the underlying mechanisms explaining the associations are not known, and no association study has assessed shared genetics between directly measured V̇o2max and disease. We believe that identifying the mechanisms explaining how low V̇o2max is related to increased disease risk can contribute to prevention and therapy. We used a phenome-wide association study approach to test for shared genetics. A total of 64,479 participants from the Trøndelag Health Study (HUNT) were included. Genetic variants previously linked to V̇o2max were tested for association with diseases related to the cardiovascular system, diabetes, dementia, mental disorders, and cancer as well as clinical measurements and biomarkers from HUNT. In the total population, three single-nucleotide polymorphisms (SNPs) in and near the follicle-stimulating hormone receptor gene (FSHR) were found to be associated (false discovery rate < 0.05) with serum creatinine levels and one intronic SNP in the Rap-associating DIL domain gene (RADIL) with diabetes type 1 with neurological manifestations. In males, four intronic SNPs in the PBX/knotted homeobox 2 gene (PKNOX2) were found to be associated with endocarditis. None of the association tests in the female population reached overall statistical significance; the associations with the lowest P values included other cardiac conduction disorders, subdural hemorrhage, and myocarditis. The results might suggest shared genetics between V̇o2max and disease. However, further effort should be put into investigating the potential shared genetics between inborn V̇o2max and disease in larger cohorts to increase statistical power.NEW & NOTEWORTHY To our knowledge, this is the first genetic association study exploring how genes linked to cardiorespiratory fitness (CRF) relate to disease risk. By investigating shared genetics, we found indications that genetic variants linked to directly measured CRF also affect the level of blood creatinine, risk of diabetes, and endocarditis. Less certain findings showed that genetic variants of high CRF might cause lower body mass index, healthier HDL cholesterol, and lower resting heart rate.

探索最大摄氧量与疾病之间的共同遗传学:HUNT研究。
心肺功能低下,以最大摄氧量(V̇o2max)衡量,与全因死亡率和疾病特异性发病率和死亡率有关,估计有很大的遗传成分(~60%)。然而,解释这些关联的潜在机制尚不清楚,也没有关联研究评估直接测量的V̇o2max与疾病之间的共同遗传学。我们认为,确定解释低V̇o2max与疾病风险增加之间关系的机制有助于预防和治疗。我们使用了一种现象广泛的关联研究方法来测试共享遗传学。Trøndelag健康研究(HUNT)共有64479名参与者参与其中。先前与V̇o2max相关的遗传变异与心血管系统、糖尿病、痴呆症、精神障碍和癌症相关疾病的相关性,以及HUNT的临床测量和生物标志物。在总人群中,发现促卵泡激素受体基因(FSHR)中及其附近的三个单核苷酸多态性(SNPs)与血清肌酐水平相关(假发现率<0.05),Rap相关DIL结构域基因(RADIL)中的一个内含子SNP与1型糖尿病和神经系统表现相关。在男性中,发现PBX/打结同源盒2基因(PKNOX2)中的四个内含子SNPs与心内膜炎有关。在女性人群中,没有一项关联测试达到总体统计显著性;与最低P值相关的包括其他心脏传导障碍、硬膜下出血和心肌炎。这些结果可能表明V̇o2max与疾病之间存在共同的遗传学。然而,应该在更大的队列中进一步研究先天性V̇o2max与疾病之间潜在的共享遗传学,以提高统计能力。新的和值得注意的是,据我们所知,这是第一项探索与心肺功能(CRF)相关的基因如何与疾病风险相关的基因关联研究。通过研究共享遗传学,我们发现与直接测量CRF相关的遗传变异也会影响血肌酐水平、糖尿病风险和心内膜炎。不太确定的研究结果表明,高CRF的基因变异可能导致体重指数降低、高密度脂蛋白胆固醇更健康和静息心率降低。
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来源期刊
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
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.
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