Polygenic scores contribution to Parkinson’s disease comorbidities

Comorbidities are common in Parkinson's disease and significantly impact the disease progression and management. While polygenic scores have been widely used to assess genetic risk for complex diseases, their role in comorbidity presentation in Parkinson's disease remains unclear. This study investigates whether genetic predisposition to comorbidities, as measured by polygenic scores, differs between individuals with Parkinson's disease and the general population and explores how genetic risk influences disease onset and sex-related differences. We analysed data from 4144 individuals with Parkinson's disease and 370 480 individuals from the general population in the UK Biobank, focusing on four comorbidities with high-quality genome-wide association study data: Type 2 diabetes, major depressive disorder, migraine headaches and epilepsy. We first compared polygenic score distributions between individuals with Parkinson's disease and the general population. While our findings indicate that comorbidities and polygenic risk scores do not significantly differ between individuals with Parkinson's disease and the general population, we show an association with disease onset and sex-specific differences. Individuals with earlier disease onset (50-70 years old) had higher genetic risk for major depressive disorder (odds ratio: 2.19, <i>P</i>-value: 1.27 × 10⁻¹⁵) and epilepsy (odds ratio: 1.58, <i>P</i>-value: 0.00845). Additionally, a female participant with Parkinson's disease exhibited higher genetic risk scores for major depressive disorder (odds ratio: 1.5, <i>P</i>-value: 0.0119) and migraine headaches (odds ratio: 2.1, <i>P</i>-value: 0.0155), while a male participant displayed higher genetic risk scores for Type 2 diabetes (odds ratio: 2.7, <i>P</i>-value: 2.11 × 10⁻¹⁷). Comorbidity-polygenic score did not differ between people with versus without Parkinson's disease, yet within Parkinson's disease, a higher genetic burden for specific comorbidities was linked to earlier onset and sex-specific presentation, implicating common variants as modifiers of clinical heterogeneity rather than the primary disease risk. These results enhance our understanding of the genetic influences shaping the broader clinical presentation of Parkinson's disease and highlight the need for further research into the interplay between genetic risk factors, comorbidities and disease heterogeneity.

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Publication Details

Journal
Brain Communications
Published
2025-01-01
DOI
https://doi.org/10.1093/braincomms/fcaf325
Citations
2
Primary Topic
Nuclear Receptors and Signaling
Type
article
Field-Weighted Citation Impact
1.82

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article

Polygenic scores contribution to Parkinson’s disease comorbidities

Dennis Lal, Carlos F. Hernández, Ignacio Fernandez Mata, Cristián Tejos et al.
2 citations
Brain Communications
Nuclear Receptors and Signaling
1.82
article

Polygenic scores contribution to Parkinson’s disease comorbidities

Dennis Lal, Carlos F. Hernández, Ignacio Fernandez Mata, Cristián Tejos, Gabriela M. Repetto, Costin Leu, Andrés D. Klein, Eduardo Pérez‐Palma, Camilo Villamán
article en
2 citations

Abstract

Comorbidities are common in Parkinson's disease and significantly impact the disease progression and management. While polygenic scores have been widely used to assess genetic risk for complex diseases, their role in comorbidity presentation in Parkinson's disease remains unclear. This study investigates whether genetic predisposition to comorbidities, as measured by polygenic scores, differs between individuals with Parkinson's disease and the general population and explores how genetic risk influences disease onset and sex-related differences. We analysed data from 4144 individuals with Parkinson's disease and 370 480 individuals from the general population in the UK Biobank, focusing on four comorbidities with high-quality genome-wide association study data: Type 2 diabetes, major depressive disorder, migraine headaches and epilepsy. We first compared polygenic score distributions between individuals with Parkinson's disease and the general population. While our findings indicate that comorbidities and polygenic risk scores do not significantly differ between individuals with Parkinson's disease and the general population, we show an association with disease onset and sex-specific differences. Individuals with earlier disease onset (50-70 years old) had higher genetic risk for major depressive disorder (odds ratio: 2.19, <i>P</i>-value: 1.27 × 10⁻¹⁵) and epilepsy (odds ratio: 1.58, <i>P</i>-value: 0.00845). Additionally, a female participant with Parkinson's disease exhibited higher genetic risk scores for major depressive disorder (odds ratio: 1.5, <i>P</i>-value: 0.0119) and migraine headaches (odds ratio: 2.1, <i>P</i>-value: 0.0155), while a male participant displayed higher genetic risk scores for Type 2 diabetes (odds ratio: 2.7, <i>P</i>-value: 2.11 × 10⁻¹⁷). Comorbidity-polygenic score did not differ between people with versus without Parkinson's disease, yet within Parkinson's disease, a higher genetic burden for specific comorbidities was linked to earlier onset and sex-specific presentation, implicating common variants as modifiers of clinical heterogeneity rather than the primary disease risk. These results enhance our understanding of the genetic influences shaping the broader clinical presentation of Parkinson's disease and highlight the need for further research into the interplay between genetic risk factors, comorbidities and disease heterogeneity.

Brain CommunicationsVol. 7(5)
Broad Institute (US), Cleveland Clinic (US), Universidad del Desarrollo (CL), Pontificia Universidad Católica de Chile (CL), University of Cologne (DE), Millennium Science Initiative (CL), Cleveland Clinic Lerner College of Medicine (US), National Hospital for Neurology and Neurosurgery (GB), Intelligent Health (United Kingdom) (GB), Millennium Institute for Integrative Biology (CL), University College London (GB), The University of Texas Health Science Center at Houston (US)
Agencia Nacional de Investigación y Desarrollo, National Institutes of Health
Openalex Percentile: Top 14%
Nuclear Receptors and Signaling
1.82
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