npj Parkinson's Disease (Feb 2023)

Genome-wide association study using whole-genome sequencing identifies risk loci for Parkinson’s disease in Chinese population

  • Hongxu Pan,
  • Zhenhua Liu,
  • Jinghong Ma,
  • Yuanyuan Li,
  • Yuwen Zhao,
  • Xiaoxia Zhou,
  • Yaqin Xiang,
  • Yige Wang,
  • Xun Zhou,
  • Runcheng He,
  • Yali Xie,
  • Qiao Zhou,
  • Kai Yuan,
  • Qian Xu,
  • Qiying Sun,
  • Junling Wang,
  • Xinxiang Yan,
  • Hainan Zhang,
  • Chunyu Wang,
  • Lifang Lei,
  • Weiguo Liu,
  • Xuejing Wang,
  • Xuebing Ding,
  • Tao Wang,
  • Zheng Xue,
  • Zhentao Zhang,
  • Ling Chen,
  • Qing Wang,
  • Yonghong Liu,
  • Jiayu Tang,
  • Xuewei Zhang,
  • Shifang Peng,
  • Chaodong Wang,
  • Jianqing Ding,
  • Chunfeng Liu,
  • Lijuan Wang,
  • Haibo Chen,
  • Lu Shen,
  • Hong Jiang,
  • Xinyin Wu,
  • Hongzhuan Tan,
  • Dan Luo,
  • Shuiyuan Xiao,
  • Xiang Chen,
  • Jieqiong Tan,
  • Zhengmao Hu,
  • Chao Chen,
  • Kun Xia,
  • Zhuohua Zhang,
  • Jia Nee Foo,
  • Cornelis Blauwendraat,
  • Mike A. Nalls,
  • Andrew B. Singleton,
  • Jun Liu,
  • Piu Chan,
  • Houfeng Zheng,
  • Jinchen Li,
  • Jifeng Guo,
  • Jian Yang,
  • Beisha Tang,
  • the Parkinson’s Disease & Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC)

DOI
https://doi.org/10.1038/s41531-023-00456-6
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 11

Abstract

Read online

Abstract Genome-wide association studies (GWASs) have identified numerous susceptibility loci for Parkinson’s disease (PD), but its genetic architecture remains underexplored in populations of non-European ancestry. To identify genetic variants associated with PD in the Chinese population, we performed a GWAS using whole-genome sequencing (WGS) in 1,972 cases and 2,478 controls, and a replication study in a total of 8209 cases and 9454 controls. We identified one new risk variant rs61204179 (P combined = 1.47 × 10−9) with low allele frequency, four previously reported risk variants (NUCKS1/RAB29-rs11557080, SNCA-rs356182, FYN-rs997368, and VPS13C-rs2251086), as well as three risk variants in LRRK2 coding region (A419V, R1628P, and G2385R) with genome-wide significance (P < 5 × 10−8) for PD in Chinese population. Moreover, of the reported genome-wide significant risk variants found mostly in European ancestry populations, the correlation coefficient (r b) of effect size accounting for sampling errors was 0.91 between datasets and 63.6% attained P < 0.05 in Chinese population. Accordingly, we estimated a heritability of 0.14–0.18 for PD, and a moderate genetic correlation between European ancestry and Chinese populations (r g = 0.47, se = 0.21). Polygenic risk score (PRS) analysis revealed that individuals with PRS values in the highest quartile had a 3.9-fold higher risk of developing PD than the lowest quartile. In conclusion, the present GWAS identified PD-associated variants in Chinese population, as well as genetic factors shared among distant populations. Our findings shed light on the genetic homogeneity and heterogeneity of PD in different ethnic groups and suggested WGS might continue to improve our understanding of the genetic architecture of PD.