Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Integrative Translational Genetic, Regeneron Genetic Center, Tarrytown, NY 10591, USA.
Am J Hum Genet. 2023 Jan 5;110(1):58-70. doi: 10.1016/j.ajhg.2022.12.005.
Expression quantitative locus (eQTL) studies have paved the way in identifying genetic variation impacting gene expression levels. African Americans (AAs) are disproportionately underrepresented in eQTL studies, resulting in a lack of power to identify population-specific regulatory variants especially related to drug response. Specific drugs are known to affect the biosynthesis of drug metabolism enzymes as well as other genes. We used drug perturbation in cultured primary hepatocytes derived from AAs to determine the effect of drug treatment on eQTL mapping and to identify the drug response eQTLs (reQTLs) that show altered effect size following drug treatment. Whole-genome genotyping (Illumina MEGA array) and RNA sequencing were performed on 60 primary hepatocyte cultures after treatment with six drugs (Rifampin, Phenytoin, Carbamazepine, Dexamethasone, Phenobarbital, and Omeprazole) and at baseline (no treatment). eQTLs were mapped by treatment and jointly with Meta-Tissue. We found varying transcriptional changes across different drug treatments and identified Nrf2 as a potential general transcriptional regulator. We jointly mapped eQTLs with gene expression data across all drug treatments and baseline, which increased our power to detect eQTLs by 2.7-fold. We also identified 2,988 reQTLs (eQTLs with altered effect size after drug treatment). reQTLs were more likely to overlap transcription factor binding sites, and we uncovered reQTLs for drug metabolizing genes such as CYP3A5. Our results provide insights into the genetic regulation of gene expression in hepatocytes through drug perturbation and provide insight into SNPs that effect the liver's ability to respond to transcription upregulation.
表达数量性状基因座 (eQTL) 研究为鉴定影响基因表达水平的遗传变异铺平了道路。非裔美国人 (AA) 在 eQTL 研究中代表性不足,导致缺乏识别与药物反应特别相关的特定于人群的调节变异的能力。已知特定药物会影响药物代谢酶以及其他基因的生物合成。我们使用培养的源自 AA 的原代肝细胞中的药物扰动来确定药物处理对 eQTL 图谱的影响,并鉴定药物反应 eQTL(reQTL),这些 eQTL 在药物处理后表现出改变的效应大小。在对 60 个原代肝细胞培养物进行六种药物(利福平、苯妥英、卡马西平、地塞米松、苯巴比妥和奥美拉唑)处理和基线(无处理)后,进行全基因组基因分型(Illumina MEGA 阵列)和 RNA 测序。通过处理和与 Meta-Tissue 联合映射 eQTL。我们发现不同的药物处理导致不同的转录变化,并确定 Nrf2 是一种潜在的通用转录调节剂。我们联合所有药物处理和基线的基因表达数据映射 eQTL,这使我们检测 eQTL 的能力提高了 2.7 倍。我们还鉴定了 2988 个 reQTL(药物处理后效应大小改变的 eQTL)。reQTL 更有可能重叠转录因子结合位点,我们发现了药物代谢基因如 CYP3A5 的 reQTL。我们的研究结果提供了通过药物扰动了解肝细胞中基因表达遗传调控的见解,并为影响肝脏对转录上调反应能力的 SNPs 提供了见解。