Plasma campesterol and ABCG5/ABCG8 gene loci on the risk of cholelithiasis and cholecystitis: evidence from Mendelian randomization and colocalization analyses.

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY Human Genomics Pub Date : 2024-02-12 DOI:10.1186/s40246-024-00583-y
Jiarui Mi, Qingwei Jiang, Zhengwei Qi, Zhengye Liu, Xiaoyin Bai, Xia Zheng, Jiaguo Wu, Yanfei Fang, Aiming Yang, Haotian Chen
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Abstract

The causal relationships between plasma metabolites and cholelithiasis/cholecystitis risks remain elusive. Using two-sample Mendelian randomization, we found that genetic proxied plasma campesterol level showed negative correlation with the risk of both cholelithiasis and cholecystitis. Furthermore, the increased risk of cholelithiasis is correlating with the increased level of plasma campesterol. Lastly, genetic colocalization study showed that the leading SNP, rs4299376, which residing at the ABCG5/ABCG8 gene loci, was shared by plasma campesterol level and cholelithiasis, indicating that the aberrant transportation of plant sterol/cholesterol from the blood stream to the bile duct/gut lumen might be the key in preventing cholesterol gallstone formation.

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血浆坎培酯醇和 ABCG5/ABCG8 基因位点对胆石症和胆囊炎风险的影响:孟德尔随机化和共定位分析的证据。
血浆代谢物与胆石症/胆囊炎风险之间的因果关系仍然难以捉摸。通过双样本孟德尔随机法,我们发现基因代表的血浆莰酯醇水平与胆石症和胆囊炎的风险呈负相关。此外,胆石症风险的增加与血浆莰酯醇水平的增加相关。最后,基因共定位研究表明,血浆莰酯醇水平与胆石症共享位于 ABCG5/ABCG8 基因位点的主导 SNP rs4299376,这表明植物固醇/胆固醇从血流到胆管/肠腔的异常运输可能是防止胆固醇胆石形成的关键。
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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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