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Lipoprotein lipase gene sequencing and plasma lipid profile

机译:脂蛋白脂肪酶基因测序和血浆脂质谱

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摘要

Lipoprotein lipase (LPL) plays a crucial role in lipid metabolism by hydrolyzing triglyceride (TG)-rich particles and affecting HDL cholesterol (HDL-C) levels. In this study, the entire LPL gene plus flanking regions were resequenced in individuals with extreme HDL-C/TG levels (n = 95), selected from a population-based sample of 623 US non-Hispanic White (NHW) individuals. A total of 176 sequencing variants were identified, including 28 novel variants. A subset of 64 variants [common tag single nucleotide polymorphisms (tagSNP) and selected rare variants] were genotyped in the total sample, followed by association analyses with major lipid traits. A gene-based association test including all genotyped variants revealed significant association with HDL-C (P = 0.024) and TG (P = 0.006). Our single-site analysis revealed seven independent signals (P < 0.05; r2 < 0.40) with either HDL-C or TG. The most significant association was for the SNP rs295 exerting opposite effects on TG and HDL-C levels with P values of 7.5.10−4 and 0.002, respectively. Our work highlights some common variants and haplotypes in LPL with significant associations with lipid traits; however, the analysis of rare variants using burden tests and SKAT-O method revealed negligible effects on lipid traits. Comprehensive resequencing of LPL in larger samples is warranted to further test the role of rare variants in affecting plasma lipid levels.
机译:脂蛋白脂肪酶(LPL)通过水解富含甘油三酸酯(TG)的颗粒并影响HDL胆固醇(HDL-C)的水平,在脂质代谢中起关键作用。在这项研究中,从具有623名美国非西班牙裔白人(NHW)人群的样本中选择了具有极端HDL-C / TG水平(n = 95)的个体,对整个LPL基因加上侧翼区域进行了重新测序。总共鉴定了176个测序变异体,包括28个新的变异体。在总样本中对64个变异的子集[通用标签单核苷酸多态性(tagSNP)和选定的稀有变异]进行基因分型,然后进行与主要脂质性状的关联分析。一项基于基因的关联测试,包括所有基因型变异,显示与HDL-C(P = 0.024)和TG(P = 0.006)显着关联。我们的单点分析揭示了HDL-C或TG的七个独立信号(P <0.05; r 2 <0.40)。最显着的关联是SNP rs295对TG和HDL-C水平产生相反的影响,P值分别为7.5.10 -4 和0.002。我们的工作着重介绍了LPL中的一些常见变异和单倍型,它们与脂质性状有着显着的关联。然而,使用负荷测试和SKAT-O方法对稀有变体的分析显示,对脂质性状的影响可忽略不计。较大样品中LPL的全面重测序是有必要进一步测试稀有变体在影响血浆脂质水平中的作用。

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