School of Medicine, Kunming University of Science and Technology, Kunming, China.
Department of Medical Genetics, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, The First People's Hospital of Yunnan Province / The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
J Matern Fetal Neonatal Med. 2024 Dec;37(1):2397722. doi: 10.1080/14767058.2024.2397722. Epub 2024 Sep 16.
The inconsistency in conclusions from early observational studies has sparked our interest in elucidating the relationship between lipid levels and susceptibility to hyperemesis gravidarum (HG). This study wishes to employed Mendelian randomization analysis to investigate the causal relationship between low-density lipoprotein cholesterol (LDL-C) and HG.
We employed Tow-Sample MR analysis to investigate the causal associations between LDL-C and HG. Specific variables were selected from GWAS database for MR analysis, using single nucleotide polymorphisms (SNPs) as our instruments. The threshold for significant SNPs as genetic instruments has been set at 5 × 10. F-statistic was employed to validate the strength of exposure instruments. The causality was mainly evaluated by Inverse Variance Weighted method (IVW). To address potential bias from the selection of genetic variants with pleiotropic effects, sensitivity analysis was performed by Cochrane Q-test, MR Egger, weighted median, MR-PRESSO and Leave-one-out methods. To validate the directionality of causal relationships, we employed Steiger test to filter SNPs. At last, we conducted reverse MR to exclude the causal impact of HG on LDL-C levels.
Our MR results identified the effect of genetically predicted increased LDL-C levels on increased genetic susceptibility to HG (:1.30; :1.03-1.65; = 0.028). In reverse MR analyses, no evidence was found for causal effect of HG on LDL-C levels (:1.00; :1.00-1.01; = 0.163). Sensitivity analyses were used to confirm reliability.
This study may have provided evidence of genetically predicted increased LDL-C levels on increased genetic susceptibility to HG. Appropriate lowering LDL-C levels may serve as a preventive and treatment measure for HG.
早期观察性研究结论的不一致引起了我们对阐明血脂水平与妊娠剧吐(HG)易感性之间关系的兴趣。本研究希望采用孟德尔随机化分析来研究低密度脂蛋白胆固醇(LDL-C)与 HG 之间的因果关系。
我们采用两样本 MR 分析来研究 LDL-C 与 HG 之间的因果关联。使用单核苷酸多态性(SNP)作为工具,从 GWAS 数据库中选择特定变量进行 MR 分析。作为遗传工具的显著 SNP 的阈值设定为 5×10。F 统计量用于验证暴露工具的强度。因果关系主要通过逆方差加权法(IVW)进行评估。为了解决具有多效性遗传变异选择偏倚的潜在问题,通过 Cochrane Q 检验、MR Egger、加权中位数、MR-PRESSO 和单倍型缺失方法进行了敏感性分析。为了验证因果关系的方向性,我们采用 Steiger 检验来筛选 SNP。最后,我们进行了反向 MR 分析,以排除 HG 对 LDL-C 水平的因果影响。
我们的 MR 结果表明,遗传预测的 LDL-C 水平升高与 HG 遗传易感性增加之间存在关联(:1.30; :1.03-1.65; = 0.028)。在反向 MR 分析中,没有发现 HG 对 LDL-C 水平的因果影响(:1.00; :1.00-1.01; = 0.163)。敏感性分析用于确认可靠性。
本研究可能为遗传预测的 LDL-C 水平升高与 HG 遗传易感性增加之间的关系提供了证据。适当降低 LDL-C 水平可能是 HG 的预防和治疗措施。