Unknown

Dataset Information

0

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


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 (Pcombined = 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 (rb) 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 (rg = 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.

SUBMITTER: Pan H 

PROVIDER: S-EPMC9911746 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Pan Hongxu H   Liu Zhenhua Z   Ma Jinghong J   Li Yuanyuan Y   Zhao Yuwen Y   Zhou Xiaoxia X   Xiang Yaqin Y   Wang Yige Y   Zhou Xun X   He Runcheng R   Xie Yali Y   Zhou Qiao Q   Yuan Kai K   Xu Qian Q   Sun Qiying Q   Wang Junling J   Yan Xinxiang X   Zhang Hainan H   Wang Chunyu C   Lei Lifang L   Liu Weiguo W   Wang Xuejing X   Ding Xuebing X   Wang Tao T   Xue Zheng Z   Zhang Zhentao Z   Chen Ling L   Wang Qing Q   Liu Yonghong Y   Tang Jiayu J   Zhang Xuewei X   Peng Shifang S   Wang Chaodong C   Ding Jianqing J   Liu Chunfeng C   Wang Lijuan L   Chen Haibo H   Shen Lu L   Jiang Hong H   Wu Xinyin X   Tan Hongzhuan H   Luo Dan D   Xiao Shuiyuan S   Chen Xiang X   Tan Jieqiong J   Hu Zhengmao Z   Chen Chao C   Xia Kun K   Zhang Zhuohua Z   Foo Jia Nee JN   Blauwendraat Cornelis C   Nalls Mike A MA   Singleton Andrew B AB   Liu Jun J   Chan Piu P   Zheng Houfeng H   Li Jinchen J   Guo Jifeng J   Yang Jian J   Tang Beisha B  

NPJ Parkinson's disease 20230209 1


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<sub>combin  ...[more]

Similar Datasets

| S-EPMC9039613 | biostudies-literature
| S-EPMC6172286 | biostudies-literature
| S-EPMC7086454 | biostudies-literature
| S-EPMC6173928 | biostudies-literature
| S-EPMC5812477 | biostudies-literature
| S-EPMC4303798 | biostudies-literature
| S-EPMC7994224 | biostudies-literature
| S-EPMC4595747 | biostudies-literature
| S-EPMC8420059 | biostudies-literature
| S-EPMC4479022 | biostudies-literature