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Research Article

孟德尔婴儿长度和2型糖尿病风险的随机研究

卷 19, 期 4, 2019

页: [224 - 231] 页: 8

弟呕挨: 10.2174/1566523219666190925115535

价格: $65

摘要

目的：婴儿身长（IL）是2型糖尿病（T2DM）的正相关表型，但其因果关系仍不清楚。在这里，我们应用孟德尔随机（MR）研究来探讨IL和T2DM之间的因果关系，这有可能为评估年轻高危人群的T2DM活性和T2DM预防提供指导。 材料和方法：为了对研究进行分类，采用了两个样本的MR，使用遗传工具变量（IV）探索因果关系，以检验IL对T2DM风险的影响。在这项研究中，使用8个独立的IL SNP作为IV对GWAS数据进行了MR。通过逆方差加权方法计算这些SNP的合并比值比（OR），以评估较短的IL给T2DM带来的风险。进行敏感性验证以鉴定单个SNP的作用。 MR-Egger回归用于检测IVs的多效性偏倚。 结果：IVW方法的合并优势比为1.03（95％CI 0.89-1.18，P = 0.0785），低截距为-0.477，P = 0.252，OR的小波动范围为-0.062（（0.966-1.03） /一千零三验证）中的0.05（（1.081-1.03）/ 1.03）。 结论：我们证实较短的IL不会对T2DM造成额外风险。敏感性分析和MR-Egger回归分析也提供了充分的证据，表明上述结果并非归因于IV的任何异质性或多效性。

关键词: 婴儿身长，T2DM，孟德尔随机化，因果效应，工具变量，MR-egger。

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