GWAS Identifies DPP6 as Risk Gene of Cognitive Decline in Parkinson’s Disease

Author:

Li Chunyu1,Hou Yanbing1,Ou Ruwei1,Wei Qianqian1,Zhang Lingyu1,Liu Kuncheng1,Lin Junyu1,Chen Xueping1,Song Wei1,Zhao Bi1,Wu Ying1,Shang Huifang1ORCID

Affiliation:

1. Laboratory of Neurodegenerative Disorders, Department of Neurology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University , Chengdu , China

Abstract

Abstract Background Cognitive decline is among the most common non-motor symptoms in Parkinson’s disease (PD), while its physiological mechanisms remain poorly understood. Genetic factors constituted a fundamental determinant in the heterogeneity of cognitive decline among PD patients. However, the underlying genetic background was still less studied. Methods To explore the genetic determinants contributing to cognitive decline in PD, we performed genome-wide survival analysis using a Cox proportional hazards model in a longitudinal cohort of 450 Chinese patients with PD, and further explored the functional effect of the target variant. Additionally, we built a clinical-genetic model by incorporating clinical characteristics and polygenic risk score (PRS) to predict cognitive decline in PD. Results The cohort was followed up for an average of 5.25 (SE = 2.46) years, with 95 incidents of cognitive impairment. We identified significant association between locus rs75819919 (DPP6) and accelerated cognitive decline (p = 8.63E-09, beta = 1.74, SE = 0.30). Dual-luciferase reporter assay suggested this locus might be involved in the regulation of DPP6 expression. Using data set from the UK Biobank, we identified rs75819919 was associated with cognitive performance in the general population. Incorporation of PRS increased the model’s predictability, achieving an average AUC of 75.6% through fivefold cross-validation in 1 000 iterations. Conclusions These findings improve the current understanding of the genetic etiology of cognitive impairment in PD, and provide a novel target DPP6 to explore therapeutic options. Our results also demonstrate the potential to develop clinical-genetic model to identify patients susceptible to cognitive impairment and thus provide personalized clinical guidance.

Funder

National Key Research and Development Program of China

Sichuan Science and Technology

Publisher

Oxford University Press (OUP)

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