Gupta Meenal, Chauhan Chitra, Bhatnagar Pallav, Gupta Simone, Grover Sandeep, Singh Prashant K, Purushottam Meera, Mukherjee Odity, Jain Sanjeev, Brahmachari Samir K, Kukreti Ritushree
Functional Genomics Unit, Institute of Genomics and Integrative Biology (Council of Scientific and Industrial Research), Mall Road, Delhi 110 007, India.
Pharmacogenomics. 2009 Feb;10(2):277-91. doi: 10.2217/14622416.10.2.277.
We investigated 16 polymorphisms from three genes, dopamine receptor D2 (DRD2), catechol-O-methyl transferase (COMT) and brain derived neurotrophic factor (BDNF), which are involved in the dopaminergic pathways, and have been reported to be associated with susceptibility to schizophrenia and response to antipsychotic therapy.
MATERIALS & METHODS: Single-locus association analyses of these polymorphisms were carried out in 254 patients with schizophrenia and 225 controls, all of southern Indian origin. Additionally, multifactor-dimensionality reduction analysis was performed in 422 samples (243 cases and 179 controls) to examine the gene-gene interactions and to identify combinations of multilocus genotypes associated with either high or low risk for the disease.
Our results demonstrated initial significant associations of two SNPs for DRD2 (rs11608185, genotype: chi(2) = 6.29, p-value = 0.043; rs6275, genotype: chi(2) = 8.91, p-value = 0.011), and one SNP in the COMT gene (rs4680, genotype: chi(2) = 6.67, p-value = 0.035 and allele: chi(2) = 4.75, p-value = 0.029; odds ratio: 1.33, 95% confidence interval: 1.02-1.73), but not after correction for multiple comparisons indicating a weak association of individual markers of DRD2 and COMT with schizophrenia. Multifactor-dimensionality reduction analysis suggested a two locus model (rs6275/DRD2 and rs4680/COMT) as the best model for gene-gene interaction with 90% cross-validation consistency and 42.42% prediction error in predicting disease risk among schizophrenia patients.
The present study thus emphasizes the need for multigene interaction studies in complex disorders such as schizophrenia and to understand response to drug treatment, which could lead to a targeted and more effective treatment.
我们研究了来自三个基因(多巴胺受体D2(DRD2)、儿茶酚-O-甲基转移酶(COMT)和脑源性神经营养因子(BDNF))的16个多态性,这些基因参与多巴胺能通路,并且据报道与精神分裂症易感性及抗精神病治疗反应相关。
对这些多态性进行单基因座关联分析,研究对象为254例精神分裂症患者和225例对照,均来自印度南部。此外,对422个样本(243例病例和179例对照)进行多因素降维分析,以检验基因-基因相互作用,并识别与疾病高风险或低风险相关的多位点基因型组合。
我们的结果显示,DRD2基因的两个单核苷酸多态性(SNPs)(rs11608185,基因型:χ2 = 6.29,p值 = 0.043;rs6275,基因型:χ2 = 8.91,p值 = 0.011)以及COMT基因的一个SNP(rs4680,基因型:χ2 = 6.67,p值 = 0.035;等位基因:χ2 = 4.75,p值 = 0.029;优势比:1.33,95%置信区间:1.02 - 1.73)最初存在显著关联,但在进行多重比较校正后不再显著,这表明DRD2和COMT的单个标记与精神分裂症的关联较弱。多因素降维分析表明,双基因座模型(rs6275/DRD2和rs4680/COMT)是基因-基因相互作用的最佳模型,在预测精神分裂症患者疾病风险时具有90%的交叉验证一致性和42.42%的预测误差。
本研究因此强调了在精神分裂症等复杂疾病中进行多基因相互作用研究以及了解药物治疗反应的必要性,这可能会带来更有针对性和更有效的治疗。