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鉴定与心肺适能相关的新型遗传变异。

Identification of novel genetic variants associated with cardiorespiratory fitness.

机构信息

Cardiac Exercise Research Group (CERG) at Dept. of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Cardiology, St. Olavs Hospital, Trondheim, Norway.

Cardiac Exercise Research Group (CERG) at Dept. of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Cardiology, St. Olavs Hospital, Trondheim, Norway.

出版信息

Prog Cardiovasc Dis. 2020 May-Jun;63(3):341-349. doi: 10.1016/j.pcad.2020.02.001. Epub 2020 Feb 6.

Abstract

INTRODUCTION

Low maximal oxygen uptake (VO) is a strong and independent risk factor for all-cause and cardiovascular disease (CVD) mortality. For other CVD risk factors, numerous genetic association studies have been performed, revealing promising risk markers and new therapeutic targets. However, large genomic association studies on VO are still lacking, despite the fact that VO has a large genetic component.

METHODS

We performed a genetic association study on 123.545 single-nucleotide polymorphisms (SNPs) and directly measured VO in 3470 individuals (exploration cohort). Candidate SNPs from the exploration cohort were analyzed in a validation cohort of 718 individuals, in addition to 7 wild-card SNPs. Sub-analyses were performed for each gender. Validated SNPs were used to create a genetic score for VO. In silico analyses and genotype-phenotype databases were used to predict physiological function of the SNPs.

RESULTS

In the exploration cohort, 41 SNPs were associated with VO (p < 5.0 ∗ 10). Six of the candidate SNPs were associated with VO also in the validation cohort, in addition to three wild-card SNPs (p < 0.05, in men, women or both). The cumulative number of high-VOSNPs correlated negatively with CVD risk factors, e.g. waist-circumference, visceral fat, fat %, cholesterol levels and BMI. In silico analysis indicated that several of the VO-SNPs influence gene expression in adipose tissue, skeletal muscle and heart.

CONCLUSION

We discovered and validated new SNPs associated with VO and proposed possible links between VO and CVD. Studies combining several large cohorts with directly measured VO are needed to identify more SNPs associated with this phenotype.

摘要

简介

最大摄氧量(VO)较低是全因和心血管疾病(CVD)死亡率的一个强有力且独立的危险因素。对于其他 CVD 风险因素,已经进行了大量的遗传关联研究,揭示了有前途的风险标志物和新的治疗靶点。然而,尽管 VO 具有很大的遗传成分,但针对 VO 的大型基因组关联研究仍然很少。

方法

我们对 3470 名个体(探索队列)进行了 123.545 个单核苷酸多态性(SNP)的遗传关联研究,并直接测量了 VO。从探索队列中选择候选 SNP,并在 718 名个体的验证队列中进行分析,此外还有 7 个随机选择的 SNP。对每个性别进行了亚组分析。对验证的 SNP 进行了 VO 遗传评分的创建。通过计算分析和基因型-表型数据库预测 SNP 的生理功能。

结果

在探索队列中,有 41 个 SNP 与 VO 相关(p < 5.0 × 10)。在验证队列中,有 6 个候选 SNP 与 VO 相关,另外还有 3 个随机选择的 SNP(p < 0.05,男性、女性或两者均有)。高 VO-SNP 的累积数量与 CVD 危险因素呈负相关,例如腰围、内脏脂肪、脂肪%、胆固醇水平和 BMI。计算分析表明,一些 VO-SNP 会影响脂肪组织、骨骼肌和心脏中的基因表达。

结论

我们发现并验证了与 VO 相关的新 SNP,并提出了 VO 与 CVD 之间可能存在的联系。需要结合多个直接测量 VO 的大型队列来识别更多与该表型相关的 SNP。

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