Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama 35294-0022, USA.
Pharmacogenet Genomics. 2012 May;22(5):367-72. doi: 10.1097/FPC.0b013e328351a486.
Fenofibrate, a peroxisome proliferator-activated receptor-α (PPARα) agonist, reduces triglyceride (TG) concentrations by 25-60%. Given significant interindividual variations in the TG response, we investigated the association of PPARA rare variants with treatment response in the Genetics of Lipid-Lowering Drugs and Diet Network study.
We calculated the change in the TG concentration (ΔTG) among 861 GOLDN participants treated with fenofibrate (160 mg/day) for 3 weeks. From the distribution of ΔTG adjusted for age and sex, the 150 highest and 150 lowest fenofibrate responders were selected from the tails of the distribution for PPARA resequencing. The resequencing strategy was based on VariantSEQr technology for the amplification of exons and regulatory regions.
We identified 73 variants with an average minor allele frequency of 4.8% (range: 0.2-16%). We tested the association of rare variants located in a coding or a regulatory region (minor allele frequency<1%, 13 variants) with treatment response group by an indicator variable (presence/absence of ≥1 rare variant) using general linear mixed models to allow for adjustment for family relationship. After adjusting for baseline, fasting TG concentration carrying at least one rare variant was associated with a low fenofibrate response (odds ratio=6.46; 95% confidence interval: 1.4-30.8). Carrier status was also associated with a relative change in the total cholesterol concentration (P=0.02), but not high-density lipoprotein or low-density lipoprotein concentration.
Rare, potentially functional variants in PPARA may play a role in the TG response to fenofibrate, but future experimental studies will be necessary to replicate the findings and confirm functional effects.
贝特类药物是过氧化物酶体增殖物激活受体-α(PPARα)激动剂,可使甘油三酯(TG)浓度降低 25%-60%。鉴于 TG 反应存在显著的个体间差异,我们在脂质降低药物和饮食网络遗传学研究(Genetics of Lipid-Lowering Drugs and Diet Network study)中研究了 PPARA 稀有变异与治疗反应的关系。
我们计算了 861 名接受非诺贝特(160mg/天)治疗 3 周的 GOLDN 参与者的 TG 浓度变化(ΔTG)。根据年龄和性别调整的 ΔTG 分布,从分布的尾部选择 150 名最高和 150 名最低的非诺贝特反应者进行 PPARA 重测序。重测序策略基于 VariantSEQr 技术扩增外显子和调控区。
我们鉴定了 73 个平均 Minor Allele Frequency 为 4.8%(范围:0.2-16%)的变异。我们使用一般线性混合模型,通过指示变量(至少存在 1 个稀有变异的存在/不存在)测试位于编码或调控区的稀有变异(MAF<1%,13 个变异)与治疗反应组的关联,以允许对家族关系进行调整。调整基线后,携带至少 1 个稀有变异的个体的非诺贝特低反应与低非诺贝特反应相关(比值比=6.46;95%置信区间:1.4-30.8)。携带状态也与总胆固醇浓度的相对变化相关(P=0.02),但与高密度脂蛋白或低密度脂蛋白浓度无关。
PPARA 中的稀有、潜在功能变异可能在非诺贝特对 TG 的反应中起作用,但需要进一步的实验研究来复制这些发现并确认功能影响。