Back to Search Start Over

Genetic analysis of transcription factors in dopaminergic neuronal development in Parkinson's disease

Authors :
Yuwen Zhao
Lixia Qin
Hongxu Pan
Tingwei Song
Yige Wang
Xiaoxia Zhou
Yaqin Xiang
Jinchen Li
Zhenhua Liu
Qiying Sun
Jifeng Guo
Xinxiang Yan
Beisha Tang
Qian Xu
Ting Gao
Xiuyuan Hao
Source :
Chinese Medical Journal, Vol 137, Iss 4, Pp 450-456 (2024)
Publication Year :
2024
Publisher :
Wolters Kluwer, 2024.

Abstract

Abstract. Background:. Genetic variants of dopaminergic transcription factor-encoding genes are suggested to be Parkinson's disease (PD) risk factors; however, no comprehensive analyses of these genes in patients with PD have been undertaken. Therefore, we aimed to genetically analyze 16 dopaminergic transcription factor genes in Chinese patients with PD. Methods:. Whole-exome sequencing (WES) was performed using a Chinese cohort comprising 1917 unrelated patients with familial or sporadic early-onset PD and 1652 controls. Additionally, whole-genome sequencing (WGS) was performed using another Chinese cohort comprising 1962 unrelated patients with sporadic late-onset PD and 1279 controls. Results:. We detected 308 rare and 208 rare protein-altering variants in the WES and WGS cohorts, respectively. Gene-based association analyses of rare variants suggested that MSX1 is enriched in sporadic late-onset PD. However, the significance did not pass the Bonferroni correction. Meanwhile, 72 and 1730 common variants were found in the WES and WGS cohorts, respectively. Unfortunately, single-variant logistic association analyses did not identify significant associations between common variants and PD. Conclusions:. Variants of 16 typical dopaminergic transcription factors might not be major genetic risk factors for PD in Chinese patients. However, we highlight the complexity of PD and the need for extensive research elucidating its etiology.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
03666999, 25425641, and 00000000
Volume :
137
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Chinese Medical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.3589daf9463b4e0c83eb7ea7505feabf
Document Type :
article
Full Text :
https://doi.org/10.1097/CM9.0000000000002743