Kit based on 14 SNP loci for evaluating peripheral arterial disease prevalence risk

Abstract

The invention discloses a kit based on 14 SNP loci for evaluating the peripheral arterial disease prevalence risk and further discloses an application for detecting a following 14 SNP locus material in preparing a product for evaluating or auxiliary evaluating of the peripheral arterial disease prevalence risk of a to-be-tested person: rs17817449 locus, rs6567160 locus, rs10938397 locus, rs6265 locus, rs574367 locus, rs4715210 locus, rs4776970 locus, rs11671664 locus, rs6545814 locus, rs9356744 locus, rs261967 locus, rs12597579 locus, rs652722 locus and rs11142387 locus. According to the kit based on 14 SNP loci for evaluating the peripheral arterial disease prevalence risk, 14 BM1 genetic loci and BMI-GRS are integrated, and the PAD prevalence risk is comprehensively evaluated; the genetic loci are tested in a large scale, and the kit is suitable for Chinese people; the test kit is economical, convenient and suitable for large-scale promotion.

Description

technical field [0001] The invention belongs to the field of biomedicine and relates to a kit for evaluating the risk of peripheral artery disease based on 14 SNP sites. Background technique [0002] Peripheral arterial disease (PAD) refers to all arterial atherosclerotic lesions except coronary arteries and intracranial arteries, and common lesion areas include carotid arteries, renal arteries, and lower extremity arteries. PAD affects the blood supply to the tissue around the diseased artery, causing pain and even leading to amputation in severe cases. It not only imposes a severe physical burden on patients, but also increases the risk of disability and death from cardiovascular disease. Active and effective assessment and control of major PAD risk factors such as obesity, hypertension, and smoking can not only reduce the long-term adverse cardiovascular event rate, but also improve the quality of life. [0003] Obesity is mainly assessed by BMI, which is commonly used ...

AI Technical Summary

Problems solved by technology

However, whether these BMI genetic loci also increase the risk of PAD, especially the risk of PAD in the Chinese population is still unclear, so it has not been included in the risk assessment system of PAD in my country

[0005] The existing methods for assessing the risk of PAD have the following defects: First, when evaluating the risk of PAD through BMI, the influence of BMI genetic loci on the risk of PAD is not comprehensively considered, and the assessment results are not comprehensive enough

Third, when evaluating the risk of PAD by BMI, it is easily affected by confounding factors and reverse causality, and the evaluation results are not accurate enough

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