MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort
Introduction. Genetic factors play an important role in Parkinson’s disease (PD) risk. However, the genetic contribution to progression in Chinese PD patients has rarely been studied. This study investigated genetic associations with progression based on 30 PD risk loci common in a longitudinal coho...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Parkinson's Disease |
| Online Access: | http://dx.doi.org/10.1155/2022/3481102 |
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| author | Shi-Shuang Cui Ling-Yu Wu Gen Li Juan-Juan Du Pei Huang Jin Liu Yun Ling Kang Ren Zhong-Lue Chen Sheng-Di Chen |
| author_facet | Shi-Shuang Cui Ling-Yu Wu Gen Li Juan-Juan Du Pei Huang Jin Liu Yun Ling Kang Ren Zhong-Lue Chen Sheng-Di Chen |
| author_sort | Shi-Shuang Cui |
| collection | DOAJ |
| description | Introduction. Genetic factors play an important role in Parkinson’s disease (PD) risk. However, the genetic contribution to progression in Chinese PD patients has rarely been studied. This study investigated genetic associations with progression based on 30 PD risk loci common in a longitudinal cohort of Chinese PD patients and the Parkinson’s Progression Markers Initiative (PPMI) cohort. Methods. PD patients from the true world (TW) Chinese PD longitudinal cohort and the PPMI cohort with demographic information and assessment scales were assessed. A panel containing 30 PD risk single nucleotide polymorphisms was tested. Progression rates of each scale were derived from random-effect slope values of mixed-effects regression models. Progression rates of multiple assessments were combined by using principal component analysis (PCA) to derive scores for composite, motor, and nonmotor progression. The association of genetic polymorphism and separate scales or PCA progression was analysed via linear regression. Results. In the Chinese PD cohort, MAOB rs1799836 was associated with progression based on the Montreal Cognitive Assessment, the top 3 principal components (PCs) of nonmotor PCA and PC1 of the composite PCA. In the PPMI cohort, both MDS-Unified Parkinson’s Disease Rating Scale II and motor PC1 progression were associated with RIT2 rs12456492. The PARK16 haplotype was associated with Geriatric Depression Scale and the State-Trait Anxiety Inventory for Adults progression, and the SNCA haplotype was associated with the Hoehn-Yahr staging progression and motor PC1 progression. Ethnicity-stratified analysis showed that the association between MAOB rs1799836 and PD progression may be specific to Asian or Chinese patients. Conclusion. MAOB rs1799836 was associated with the progression of nonmotor symptoms, especially cognitive impairment, and the composite progression of motor and nonmotor symptoms within our Chinese PD cohort. The RIT2 rs12456492 and SNCA haplotypes were associated with motor function decline, and the PARK16 haplotype was associated with progression in mood in the PPMI cohort. |
| format | Article |
| id | doaj-art-5997d9c5adba4a93abbab423598683ff |
| institution | Kabale University |
| issn | 2042-0080 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Parkinson's Disease |
| spelling | doaj-art-5997d9c5adba4a93abbab423598683ff2025-02-03T01:19:59ZengWileyParkinson's Disease2042-00802022-01-01202210.1155/2022/3481102MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI CohortShi-Shuang Cui0Ling-Yu Wu1Gen Li2Juan-Juan Du3Pei Huang4Jin Liu5Yun Ling6Kang Ren7Zhong-Lue Chen8Sheng-Di Chen9Department of Neurology and Institute of NeurologyGyenno Science CO.Department of Neurology and Institute of NeurologyDepartment of Neurology and Institute of NeurologyDepartment of Neurology and Institute of NeurologyDepartment of Neurology and Institute of NeurologyGyenno Science CO.Gyenno Science CO.Gyenno Science CO.Department of Neurology and Institute of NeurologyIntroduction. Genetic factors play an important role in Parkinson’s disease (PD) risk. However, the genetic contribution to progression in Chinese PD patients has rarely been studied. This study investigated genetic associations with progression based on 30 PD risk loci common in a longitudinal cohort of Chinese PD patients and the Parkinson’s Progression Markers Initiative (PPMI) cohort. Methods. PD patients from the true world (TW) Chinese PD longitudinal cohort and the PPMI cohort with demographic information and assessment scales were assessed. A panel containing 30 PD risk single nucleotide polymorphisms was tested. Progression rates of each scale were derived from random-effect slope values of mixed-effects regression models. Progression rates of multiple assessments were combined by using principal component analysis (PCA) to derive scores for composite, motor, and nonmotor progression. The association of genetic polymorphism and separate scales or PCA progression was analysed via linear regression. Results. In the Chinese PD cohort, MAOB rs1799836 was associated with progression based on the Montreal Cognitive Assessment, the top 3 principal components (PCs) of nonmotor PCA and PC1 of the composite PCA. In the PPMI cohort, both MDS-Unified Parkinson’s Disease Rating Scale II and motor PC1 progression were associated with RIT2 rs12456492. The PARK16 haplotype was associated with Geriatric Depression Scale and the State-Trait Anxiety Inventory for Adults progression, and the SNCA haplotype was associated with the Hoehn-Yahr staging progression and motor PC1 progression. Ethnicity-stratified analysis showed that the association between MAOB rs1799836 and PD progression may be specific to Asian or Chinese patients. Conclusion. MAOB rs1799836 was associated with the progression of nonmotor symptoms, especially cognitive impairment, and the composite progression of motor and nonmotor symptoms within our Chinese PD cohort. The RIT2 rs12456492 and SNCA haplotypes were associated with motor function decline, and the PARK16 haplotype was associated with progression in mood in the PPMI cohort.http://dx.doi.org/10.1155/2022/3481102 |
| spellingShingle | Shi-Shuang Cui Ling-Yu Wu Gen Li Juan-Juan Du Pei Huang Jin Liu Yun Ling Kang Ren Zhong-Lue Chen Sheng-Di Chen MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort Parkinson's Disease |
| title | MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort |
| title_full | MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort |
| title_fullStr | MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort |
| title_full_unstemmed | MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort |
| title_short | MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort |
| title_sort | mao b polymorphism associated with progression in a chinese parkinson s disease cohort but not in the ppmi cohort |
| url | http://dx.doi.org/10.1155/2022/3481102 |
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