Gene-gene interaction between FGF20 and MAOB in Parkinson disease
Gene-gene interaction between FGF20 and MAOB in Parkinson disease
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DOI：
10.1111/j.1469-1809.2007.00418.x
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发表时间：
2008-03-01
影响因子：
1.9
通讯作者：
Martin, E. R.
中科院分区：
文献类型：
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作者：
Gao, X.;Scott, W. K.;Martin, E. R.
成纤维细胞生长因子20（FGF 20）和单胺氧化酶B（MAOB）基因与帕金森病（PD）风险相关，并且两者都在多巴胺生物途径中。因此，我们研究了FGF 20和MAOB基因多态性之间的联合效应，以寻找导致PD风险的相互作用的证据。在736个家系中对14个多态性（8个为FGF20，6个为MAOB）进行基因分型，并使用条件Logistic回归（CSTR）进行分析。在女性群体中，FGF20的rs1721100多态性与MAOB的rs1799836多态性之间、FGF20的rs1721082多态性与MAOB的rs1799836多态性之间存在显著的双位点交互作用。rs1721100 C、rs1721082 T和rs1799836 A的每个SNP的风险等位基因与以前的报道一致。使用SNP基因型的指示变量，与参考组rs1721100 GG和rs1799836 GG相比，rs1721100 GC和rs1799836 AA显示出显著的交互作用（P = 0.021）。使用等位基因剂量模型的风险等位基因，rs1721100和rs1799836显示出显着的相互作用（P = 0.019）。我们在rs1721082和rs1799836之间发现了类似的相互作用结果。总之，FGF 20和MAOB的变异显示了统计学相互作用的证据，这强调了在PD的遗传分析中联合考虑它们的重要性，并说明了导致PD风险的生物学相互作用的潜在模式。
The fibroblast growth factor 20 (FGF20) and monoamine oxidase B (MAOB) genes are associated with Parkinson Disease (PD) risk and both are in the dopamine bio-pathway. Therefore, we investigated the joint effect between polymorphisms in the FGF20 and MAOB genes for evidence of interaction contributing to PD risk. Fourteen polymorphisms (eight for FGF20, six for MAOB) were genotyped in 736 families and analyzed using conditional logistic regression (CLR). Significant two-locus interactions were found in females between the polymorphisms rs1721100 of FGF20 and rs1799836 of MAOB, and between the polymorphisms rs1721082 of FGF20 and rs1799836 of MAOB. The risk alleles for each SNP identified from CLR, rs1721100 C, rs1721082 T and rs1799836 A, are consistent with previous reports. Using indicator variables for the SNP genotypes, rs1721100 GC with rs1799836 AA showed significant interaction (P = 0.021), compared with the reference group rs1721100 GG with rs1799836 GG. Using an allele-dose model for the risk alleles, rs1721100 and rs1799836 showed significant interaction (P = 0.019). We found similar interaction results between rs1721082 and rs1799836. In conclusion, variants in FGF20 and MAOB show evidence of statistical interactions, which emphasizes the importance of considering them jointly in genetic analysis of PD and illustrates potential patterns of biological interaction contributing to PD risk.