Ankita Narang, Paul Lacaze, Kathlyn J. Ronaldson, John J. McNeil, Mahesh Jayaram, Naveen Thomas, Rory Sellmer, David N. Crockford, Robert Stowe, Steven C. Greenway, Christos Pantelis, Chad A. Bousman
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引用次数: 1
摘要
在精神分裂症治疗中使用氯氮平的一个限制因素是罕见但可能致命的心肌炎风险。我们之前的全基因组关联研究和人类白细胞抗原分析确定了与氯氮平诱发心肌炎相关的假定位点。然而,细胞色素 P450 基因的 DNA 变异、拷贝数变异和罕见的有害变异的贡献尚未得到研究。我们利用 25 例氯氮平诱发的心肌炎病例和 25 例人口统计学上匹配的氯氮平耐受性对照组的全基因组测序数据,探索了这些尚未探索的 DNA 变异类别。根据罕见变异基因负担分析,我们确定了 15 个基因(MLLT6、CADPS、TACC2、L3MBTL4、NPY、SLC25A21、PARVB、GPR179、ACAD9、NOL8、C5orf33、FAM127A、AFDN、SLC6A11、PXDN)与氯氮平诱发的心肌炎存在名义相关性(p < 0.05)。这些基因中有 13 个在人类心肌组织中表达。尽管这些发现还需要独立的验证,但我们的研究提供了关于罕见基因变异在氯氮平诱发的心肌炎易感性中潜在作用的初步见解。
Whole-genome sequencing analysis of clozapine-induced myocarditis
One of the concerns limiting the use of clozapine in schizophrenia treatment is the risk of rare but potentially fatal myocarditis. Our previous genome-wide association study and human leucocyte antigen analyses identified putative loci associated with clozapine-induced myocarditis. However, the contribution of DNA variation in cytochrome P450 genes, copy number variants and rare deleterious variants have not been investigated. We explored these unexplored classes of DNA variation using whole-genome sequencing data from 25 cases with clozapine-induced myocarditis and 25 demographically-matched clozapine-tolerant control subjects. We identified 15 genes based on rare variant gene-burden analysis (MLLT6, CADPS, TACC2, L3MBTL4, NPY, SLC25A21, PARVB, GPR179, ACAD9, NOL8, C5orf33, FAM127A, AFDN, SLC6A11, PXDN) nominally associated (p < 0.05) with clozapine-induced myocarditis. Of these genes, 13 were expressed in human myocardial tissue. Although independent replication of these findings is required, our study provides preliminary insights into the potential role of rare genetic variants in susceptibility to clozapine-induced myocarditis.
期刊介绍:
The Pharmacogenomics Journal is a print and electronic journal, which is dedicated to the rapid publication of original research on pharmacogenomics and its clinical applications.
Key areas of coverage include:
Personalized medicine
Effects of genetic variability on drug toxicity and efficacy
Identification and functional characterization of polymorphisms relevant to drug action
Pharmacodynamic and pharmacokinetic variations and drug efficacy
Integration of new developments in the genome project and proteomics into clinical medicine, pharmacology, and therapeutics
Clinical applications of genomic science
Identification of novel genomic targets for drug development
Potential benefits of pharmacogenomics.