帕金森病的GWAS危险因素:LRRK2编码变异及其与PARK16的遗传相互作用

American journal of neurodegenerative disease Pub Date : 2013-11-29 eCollection Date: 2013-01-01
Alexandra I Soto-Ortolaza, Michael G Heckman, Catherine Labbé, Daniel J Serie, Andreas Puschmann, Sruti Rayaprolu, Audrey Strongosky, Magdalena Boczarska-Jedynak, Grzegorz Opala, Anna Krygowska-Wajs, Maria Barcikowska, Krzysztof Czyzewski, Timothy Lynch, Ryan J Uitti, Zbigniew K Wszolek, Owen A Ross
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引用次数: 0

摘要

帕金森病(PD)是一种以进行性神经变性为特征的多因素运动障碍。全基因组关联研究(GWAS)已经提名了超过15个与PD风险相关的不同基因座,然而这些基因座影响疾病风险的生物学机制大多是未知的。GWAS只是识别疾病基因的第一步:必须确定相关基因座内导致风险的特定因果变异以及它们之间的相互作用,以充分了解它们对PD发展的影响。在本研究中,我们首先尝试在1381名PD患者和1328名对照组中复制17个PD GWAS位点的关联信号。BST1、SNCA、HLA-DRA、CCDC62/HIP1R和MAPT在不同的遗传模式下均与PD有显著的关联,LRRK2有暗示的关联。然后,我们研究了编码LRRK2变体在该基因的GWAS关联信号中的作用。先前发现的LRRK2风险突变体p.M1646T和保护性单倍型p.N551K-R1398H-K1423K不能解释本系列中LRRK2的关联信号。最后,我们研究了之前提出的PARK16和LRRK2之间的基因-基因相互作用。我们没有观察到PARK16和LRRK2 GWAS变体之间的相互作用,但在保护性单倍型中确实观察到PARK16和LRRK2变体之间的相互作用趋势不显著。确定因果变异及其之间的相互作用是对GWAS研究产生的大量数据进行生物学解释的关键下一步。结合更大样本量的未来研究无疑将揭示导致PD发展的复杂分子相互作用。
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GWAS risk factors in Parkinson's disease: LRRK2 coding variation and genetic interaction with PARK16.

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.

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