GCH1 variants contribute to the risk and earlier age-at-onset of Parkinson’s disease: a two-cohort case-control study

Hong-xu Pan(Central South University), Yuwen Zhao(Central South University), Junpu Mei(Central South University), Zhenghuan Fang(Central South University), Yige Wang(Central South University), Xun Zhou(Central South University), Yangjie Zhou(Central South University), Rui Zhang(Central South University), Kailin Zhang(Central South University), Jiang Li(Central South University), Qian Zeng(Central South University), Yan He(Central South University), Zheng Wang(Central South University), Zhenhua Liu(Central South University), Qian Xu(Central South University), Qiying Sun(Central South University), Yang Yang(Central South University), Yacen Hu(Central South University), Yase Chen(Central South University), Juan Du(Central South University), Lifang Lei(Central South University), Hainan Zhang(Central South University), Chunyu Wang(Central South University), Xinxiang Yan(Central South University), Lu Shen(Central South University), Hong Jiang(Central South University), Jieqiong Tan(Central South University), Jinchen Li(Central South University), Beisha Tang(Central South University), Jifeng Guo(Central South University)
Translational Neurodegeneration
August 4, 2020
Cited by 51Open Access
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Abstract

BACKGROUND: Common and rare variants of guanosine triphosphate cyclohydrolase 1 (GCH1) gene may play important roles in Parkinson's disease (PD). However, there is a lack of comprehensive analysis of GCH1 genotypes, especially in non-coding regions. The aim of this study was to explore the genetic characteristics of GCH1, including rare and common variants in coding and non-coding regions, in a large population of PD patients in Chinese mainland, as well as the phenotypic characteristics of GCH1 variant carriers. METHODS: In the first cohort of this case-control study, we performed whole-exome sequencing in 1555 patients with early-onset or familial PD and 2234 healthy controls; then in the second cohort, whole-genome sequencing was performed in sporadic late-onset PD samples (1962 patients), as well as 1279 controls. Variants at target GCH1 regions were extracted, and then genetic and detailed phenotypic data were analyzed using regression models and the sequence kernel association test. We also performed a meta-analysis to correlate deleterious GCH1 variants with age at onset (AAO) in PD patients. RESULTS: For coding variants, we identified a significant burden of GCH1 deleterious variants in early-onset or familial PD cases compared to controls (1.2% vs 0.1%, P < 0.0001). In the analysis of possible regulatory variants in GCH1 non-coding regions, rs12323905 (P = 0.001, odds ratio = 1.19, 95%CI 1.07-1.32) was significantly associated with PD, and variant sets in untranslated regions and intron regions, GCH1 brain-specific expression quantitative trait loci, and two possible promoter/enhancer (GH14J054857 and GH14J054880) were suggestively associated with PD. Genotype-phenotype correlation analysis revealed that the carriers of GCH1 deleterious variants manifested younger AAO (P < 0.0001), and had milder motor symptoms, milder fatigue symptoms and more autonomic nervous dysfunctions. Meta-analysis of six studies demonstrated 6.4-year earlier onset in GCH1 deleterious variant carriers (P = 0.0009). CONCLUSIONS: The results highlight the importance of deleterious variants and non-coding variants of GCH1 in PD in Chinese mainland and suggest that GCH1 mutation can influence the PD phenotype, which may help design experimental studies to elucidate the mechanisms of GCH1 in the pathogenesis of PD.


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