Examining the link between 179 lipid species and 7 diseases using genetic predictors.

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Linda Ottensmann, Rubina Tabassum, Sanni E Ruotsalainen, Mathias J Gerl, Christian Klose, Daniel L McCartney, Elisabeth Widén, Kai Simons, Samuli Ripatti, Veronique Vitart, Caroline Hayward, Matti Pirinen
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引用次数: 0

Abstract

Background: Genome-wide association studies of lipid species have identified several loci shared with various diseases, however, the relationship between lipid species and disease risk remains poorly understood. Here we investigated whether the plasma levels of lipid species are causally linked to disease risk.

Methods: We built genetic predictors of 179 lipid species, measured in 7174 Finnish individuals, by utilising either 11 high-impact genomic loci or genome-wide polygenic scores (PGS). We assessed the impact of the lipid species on seven diseases by performing disease association across FinnGen (n = 500,348), UK Biobank (n = 420,531), and Generation Scotland (n = 20,032). We performed univariable Mendelian randomisation (MR) and multivariable MR (MVMR) analyses to examine whether lipid species impact disease risk independently of standard lipids.

Findings: PGS explained >4% of the variance for 34 lipid species but variants outside the high-impact loci had only a marginal contribution. Variants within the high-impact loci showed association with all seven diseases. MVMR supported a causal role of ApoB in ischaemic heart disease after accounting for lipid species. Phosphatidylethanolamine-increasing LIPC variants seemed to lower age-related macular degeneration risk independently of HDL-cholesterol. MVMR suggested a protective effect of four lipid species containing arachidonic acid on cholelithiasis risk independently of Total Cholesterol.

Interpretation: Our study demonstrates how genetic predictors of lipid species can be utilised to gain insights into disease risk. We report potential links between lipid species and age-related macular degeneration and cholelithiasis risk, which can be explored for their utility in disease risk prediction and therapy.

Funding: The funders had no role in the study design, data analyses, interpretation, or writing of this article.

利用遗传预测因子研究179种脂质与7种疾病之间的联系
背景:脂质物种的全基因组关联研究已经确定了与多种疾病共有的几个位点,然而,脂质物种与疾病风险之间的关系仍然知之甚少。在这里,我们调查了血脂种类的血浆水平是否与疾病风险有因果关系。方法:我们利用11个高影响基因组位点或全基因组多基因评分(PGS),构建了7174名芬兰个体中179种脂质的遗传预测因子。我们通过在FinnGen (n = 500,348)、UK Biobank (n = 420,531)和Generation Scotland (n = 20,032)中进行疾病关联来评估脂质物种对七种疾病的影响。我们进行了单变量孟德尔随机化(MR)和多变量随机化(MVMR)分析,以检查脂质种类是否独立于标准脂质影响疾病风险。研究结果:PGS解释了34种脂质的4%的变异,但高影响位点以外的变异只起到了很小的作用。高影响位点内的变异显示与所有七种疾病有关。在考虑脂质种类后,MVMR支持ApoB在缺血性心脏病中的因果作用。磷脂酰乙醇胺增加的LIPC变体似乎独立于hdl -胆固醇降低了与年龄相关的黄斑变性风险。MVMR提示含有花生四烯酸的四种脂类对胆石症风险的保护作用独立于总胆固醇。解释:我们的研究展示了如何利用脂质种类的遗传预测因子来深入了解疾病风险。我们报告了脂质种类与年龄相关性黄斑变性和胆石症风险之间的潜在联系,可以探索它们在疾病风险预测和治疗中的应用。资助:资助者在研究设计、数据分析、解释或本文写作中没有任何作用。
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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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