Soto-Ortolaza Alexandra I, Heckman Michael G, Labbé Catherine, Serie Daniel J, Puschmann Andreas, Rayaprolu Sruti, Strongosky Audrey, Boczarska-Jedynak Magdalena, Opala Grzegorz, Krygowska-Wajs Anna, Barcikowska Maria, Czyzewski Krzysztof, Lynch Timothy, Uitti Ryan J, Wszolek Zbigniew K, Ross Owen A
Department of Neuroscience, Mayo Clinic Jacksonville, Florida, USA.
Am J Neurodegener Dis. 2013 Nov 29;2(4):287-99. eCollection 2013.
Parkinson's disease (PD) is a multifactorial movement disorder characterized by progressive neurodegeneration. Genome-wide association studies (GWAS) have nominated over fifteen distinct loci associated with risk of PD, however the biological mechanisms by which these loci influence disease risk are mostly unknown. GWAS are only the first step in the identification of disease genes: the specific causal variants responsible for the risk within the associated loci and the interactions between them must be identified to fully comprehend their impact on the development of PD. In the present study, we first attempted to replicate the association signals of 17 PD GWAS loci in our series of 1381 patients with PD and 1328 controls. BST1, SNCA, HLA-DRA, CCDC62/HIP1R and MAPT all showed a significant association with PD under different models of inheritance and LRRK2 showed a suggestive association. We then examined the role of coding LRRK2 variants in the GWAS association signal for that gene. The previously identified LRRK2 risk mutant p.M1646T and protective haplotype p.N551K-R1398H-K1423K did not explain the association signal of LRRK2 in our series. Finally, we investigated the gene-gene interaction between PARK16 and LRRK2 that has previously been proposed. We observed no interaction between PARK16 and LRRK2 GWAS variants, but did observe a non-significant trend toward interaction between PARK16 and LRRK2 variants within the protective haplotype. Identification of causal variants and the interactions between them is the crucial next step in making biological sense of the massive amount of data generated by GWAS studies. Future studies combining larger sample sizes will undoubtedly shed light on the complex molecular interplay leading to the development of PD.
帕金森病(PD)是一种多因素运动障碍性疾病,其特征为进行性神经退行性变。全基因组关联研究(GWAS)已确定了超过15个与PD风险相关的不同位点,然而这些位点影响疾病风险的生物学机制大多未知。GWAS只是鉴定疾病基因的第一步:必须确定相关位点内导致风险的具体因果变异及其之间的相互作用,才能全面理解它们对PD发生发展的影响。在本研究中,我们首先尝试在我们的1381例PD患者和1328例对照系列中重复17个PD GWAS位点的关联信号。BST1、SNCA、HLA-DRA、CCDC62/HIP1R和MAPT在不同遗传模型下均显示与PD有显著关联,而LRRK2显示有提示性关联。然后我们研究了编码LRRK2变异在该基因GWAS关联信号中的作用。先前确定的LRRK2风险突变体p.M1646T和保护性单倍型p.N551K-R1398H-K1423K并不能解释我们系列中LRRK2的关联信号。最后,我们研究了先前提出的PARK16和LRRK2之间的基因-基因相互作用。我们未观察到PARK16和LRRK2 GWAS变异之间的相互作用,但确实观察到在保护性单倍型内PARK16和LRRK2变异之间有不显著的相互作用趋势。确定因果变异及其之间的相互作用是理解GWAS研究产生的大量数据生物学意义的关键下一步。未来结合更大样本量的研究无疑将阐明导致PD发生发展的复杂分子相互作用。