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对英国生物银行中144286人的全基因组生存分析确定了与血压相关的新基因座。

Whole -genome survival analysis of 144 286 people from the UK Biobank identifies novel loci associated with blood pressure.

作者信息

Saluja Sushant, Darlay Rebecca, Lennon Rachel, Keavney Bernard D, Cordell Heather J

机构信息

Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester.

Division of Medicine and Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust Manchester, Manchester.

出版信息

J Hypertens. 2024 Sep 1;42(9):1647-1652. doi: 10.1097/HJH.0000000000003801. Epub 2024 Jul 10.

DOI:10.1097/HJH.0000000000003801
PMID:39011893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11296269/
Abstract

This study utilized UK Biobank data from 144 286 participants and employed whole-genome sequencing (WGS) data and time-to-event data over a 12-year follow-up period to identify susceptibility in genetic variants associated with hypertension. Following genotype quality control, 6 319 822 single nucleotide polymorphisms underwent analysis, revealing 31 significant variant-level associations. Among these, 29 were novel - 15 in Fibrillin-2 ( FBN2 ) and 4 in Junctophilin-2 ( JPH2 ). Mendelian randomization utilizing two identified variants (rs17677724 and rs1014754) suggested that a genetically induced decrease in heart FBN2 expression and an increase in adrenal gland JPH2 expression were causally linked to hypertension. Phenome-wide association (PheWAS) analysis using the FinnGen dataset confirmed positive associations of rs17677724 and rs1014754 with hypertension, assessed across 2727 traits in 377 277 individuals. Lastly, rs1014754 positively associated with kallistatin, whereas rs17677724 negatively associated with renin in the Fenland study, suggesting a counterregulatory response to high blood pressure. This study, employing WGS data, identified novel genetic loci and potential therapeutic targets for hypertension.

摘要

本研究利用了英国生物银行中144286名参与者的数据,并采用全基因组测序(WGS)数据以及12年随访期内的事件发生时间数据,以确定与高血压相关的基因变异中的易感性。经过基因型质量控制后,对6319822个单核苷酸多态性进行了分析,发现了31个显著的变异水平关联。其中,29个是新发现的——15个在原纤蛋白-2(FBN2)中,4个在连接蛋白-2(JPH2)中。利用两个已确定的变异(rs17677724和rs1014754)进行的孟德尔随机化分析表明,基因诱导的心脏FBN2表达降低和肾上腺JPH2表达增加与高血压存在因果关系。使用芬兰基因数据集进行的全表型组关联(PheWAS)分析证实了rs17677724和rs1014754与高血压的正相关,该分析在377277名个体的2727个特征中进行评估。最后,在芬兰芬兰特研究中,rs1014754与激肽释放酶原抑制剂呈正相关,而rs17677724与肾素呈负相关,这表明对高血压存在一种反调节反应。本研究采用WGS数据,确定了高血压的新基因位点和潜在治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e751/11296269/73a8a2a948ce/jhype-42-1647-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e751/11296269/c05773d2506a/jhype-42-1647-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e751/11296269/1b9568a53541/jhype-42-1647-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e751/11296269/73a8a2a948ce/jhype-42-1647-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e751/11296269/c05773d2506a/jhype-42-1647-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e751/11296269/1b9568a53541/jhype-42-1647-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e751/11296269/73a8a2a948ce/jhype-42-1647-g003.jpg

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