Department of Genetics, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS) Lucknow, Uttar Pradesh, India.
PLoS One. 2013;8(4):e59173. doi: 10.1371/journal.pone.0059173. Epub 2013 Apr 8.
Cholesterol gallstone disease (CGD) is a multifactorial and multistep disease. Apart from female gender and increasing age being the documented non-modifiable risk factor for gallstones the pathobiological mechanisms underlying the phenotypic expression of CGD appear to be rather complex, and one or more variations in genes could play critical roles in the diverse pathways further progressing to cholesterol crystal formation. In the present study we performed genotyping score, Multifactor dimensionality reduction (MDR) and Classification and Regression Tree analysis (CART) to identify combinations of alleles among the hormonal, hepatocanalicular transporter and adipogenesis differentiation pathway genes in modifying the risk for CGD.
The present case-control study recruited total of 450 subjects, including 230 CGD patients and 220 controls. We analyzed common ESR1, ESR2, PGR, ADRB3, ADRA2A, ABCG8, SLCO1B1, PPARγ2, and SREBP2 gene polymorphisms to find out combinations of genetic variants contributing to CGD risk, using multi-analytical approaches (G-score, MDR, and CART).
Single locus analysis by logistic regression showed association of ESR1 IVS1-397C>T (rs2234693), IVS1-351A>G (rs9340799) PGR ins/del (rs1042838) ADRB3-190 T>C (rs4994) ABCG8 D19H (rs11887534), SLCO1B1 Exon4 C>A (rs11045819) and SREBP2 1784G>C (rs2228314) with CGD risk. However, the MDR and CART analysis revealed ESR1 IVS1-397C>T (rs2234693) ADRB3-190 T>C (rs4994) and ABCG8 D19H (rs11887534) polymorphisms as the best polymorphic signature for discriminating between cases and controls. The overall odds ratio for the applied multi-analytical approaches ranged from 4.33 to 10.05 showing an incremental risk for cholesterol crystal formation. In conclusion, our muti-analytical approach suggests that, ESR1, ADRB3, in addition to ABCG8 genetic variants confer significant risk for cholesterol gallstone disease.
胆石病(CGD)是一种多因素、多步骤的疾病。除了女性性别和年龄增长是胆结石形成的有记录的不可改变的危险因素外,CGD 表型表达的病理生物学机制似乎相当复杂,一个或多个基因变异可能在进一步导致胆固醇晶体形成的多种途径中发挥关键作用。在本研究中,我们进行了基因分型评分、多因子降维(MDR)和分类回归树分析(CART),以确定激素、胆小管转运体和脂肪生成分化途径基因中的等位基因组合,从而改变 CGD 的风险。
本病例对照研究共招募了 450 名受试者,包括 230 名 CGD 患者和 220 名对照。我们分析了常见的 ESR1、ESR2、PGR、ADRB3、ADRA2A、ABCG8、SLCO1B1、PPARγ2 和 SREBP2 基因多态性,以找出导致 CGD 风险的遗传变异组合,使用多分析方法(G 评分、MDR 和 CART)。
逻辑回归的单基因座分析显示,ESR1 IVS1-397C>T(rs2234693)、IVS1-351A>G(rs9340799)PGRins/del(rs1042838)ADRB3-190T>C(rs4994)ABCG8D19H(rs11887534)、SLCO1B1Exon4C>A(rs11045819)和 SREBP21784G>C(rs2228314)与 CGD 风险相关。然而,MDR 和 CART 分析显示,ESR1 IVS1-397C>T(rs2234693)、ADRB3-190T>C(rs4994)和 ABCG8D19H(rs11887534)多态性是区分病例和对照的最佳多态性特征。应用多分析方法的总优势比范围为 4.33 至 10.05,显示胆固醇晶体形成的风险增加。总之,我们的多分析方法表明,ESR1、ADRB3 以及 ABCG8 基因变异赋予胆固醇胆石病显著的风险。