Gokuladhas Sreemol, Miller Catriona, Cooper Antony A, O'Sullivan Justin M
The Liggins Institute, University of Auckland, Auckland, 1023, New Zealand.
Australian Parkinson's Mission, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Mol Neurobiol. 2025 Jun 2. doi: 10.1007/s12035-025-05101-2.
Parkinson's disease (PD) pathogenesis involves complex interactions between genetic factors. We employed two-sample Mendelian randomization (MR) integrating tissue-specific gene regulatory networks to identify causal genes and regulatory elements modulating PD risk. Two-sample MR analysis identified 79 putative causal genes for PD. A subset of the 79 causal genes was enriched within chr17q21.31 and chr16p11.2 cytobands that have been previously linked to neurodevelopmental disorders. Functional enrichment analysis of the 79 genes revealed autophagosome-lysosome fusion as a key process. Ten genes (ELOVL7, HSD3B7, PLEKHM1, PRSS53, SNCA, STX1B, STX4, ZSWIM7, LINC02210, and RP11-1072 A3.3) showed causal associations with tissue-specific expression patterns driving risk or protection for PD. Further investigation into their tissue-specific isoform expression profile revealed isoform-specific contributions to disease risk (or protection). These findings highlight the critical role of isoform-specific expression of causal genes in modulating PD risk, particularly relating to autophagosome-lysosome fusion. While our findings provide new insights into PD susceptibility, we acknowledge that the observed isoform-specific changes may, in part, reflect sample selection bias. Therefore, further experimental verification is needed to confirm the importance of incorporating tissue-specific gene isoform profiles in understanding PD causal mechanisms.
帕金森病(PD)的发病机制涉及遗传因素之间的复杂相互作用。我们采用整合组织特异性基因调控网络的两样本孟德尔随机化(MR)方法来鉴定调节PD风险的因果基因和调控元件。两样本MR分析确定了79个PD的推定因果基因。这79个因果基因的一个子集在先前与神经发育障碍相关的17号染色体q21.31和16号染色体p11.2细胞带中富集。对这79个基因的功能富集分析表明自噬体-溶酶体融合是一个关键过程。10个基因(ELOVL7、HSD3B7、PLEKHM1、PRSS53、SNCA、STX1B、STX4、ZSWIM7、LINC02210和RP11-1072 A3.3)显示出与驱动PD风险或保护的组织特异性表达模式存在因果关联。对其组织特异性异构体表达谱的进一步研究揭示了异构体对疾病风险(或保护)的特异性贡献。这些发现突出了因果基因的异构体特异性表达在调节PD风险中的关键作用,特别是与自噬体-溶酶体融合有关。虽然我们的发现为PD易感性提供了新的见解,但我们承认观察到的异构体特异性变化可能部分反映了样本选择偏差。因此,需要进一步的实验验证来确认在理解PD因果机制中纳入组织特异性基因异构体谱的重要性。