Genetic Epidemiology of Parkinson's Disease

Genetic epidemiology of Parkinson’s disease examines how inherited variations influence the risk, distribution and progression of this multisystem neurodegenerative disorder. Familial forms account for a minority of cases and are often linked to monogenic mutations in genes such as SNCA, LRRK2, PRKN and PINK1, whereas the majority of patients present with a complex interplay of multiple common variants and environmental modifiers. Twin and family studies have estimated heritability at approximately 15–30%, with individual variants showing highly variable penetrance across populations. Genome-wide association studies have identified numerous risk loci of modest effect size that contribute cumulatively to disease susceptibility, leading to development of polygenic risk scores for stratifying at-risk individuals. Next-generation sequencing in diverse cohorts has revealed both rare pathogenic mutations and novel variants of uncertain significance, highlighting the need for functional validation and replication. The field is increasingly focused on interactions between genetic risk factors and environmental exposures—such as pesticides, microbiota alterations and lifestyle factors—as well as epigenetic mechanisms. Global efforts to harmonise genetic data and integrate multi-omics approaches promise to refine risk prediction, inform early detection strategies and guide the design of targeted therapies.

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Genetic Epidemiology of Parkinson's Disease publication trend

The graph below shows the total number of articles in genetic epidemiology of parkinson's disease across all publications each year (not limited to Nature Index journals).

Technical terms

Heritability: Proportion of variation in disease risk attributable to genetic differences within a population.

Penetrance: Probability that an individual carrying a particular genetic variant will exhibit the associated clinical phenotype.

Single nucleotide polymorphism (SNP): A common type of genetic variation involving a single base change in the DNA sequence.

Genome-wide association study (GWAS): A large-scale analysis that scans the genome for common variants associated with a trait or disease.

Next-generation sequencing (NGS): A high-throughput technology that enables rapid sequencing of large stretches of DNA to detect rare and common variants.

α-Synuclein: A neuronal protein prone to misfolding and aggregation, forming characteristic Lewy bodies in Parkinson’s disease.

References

1. Escherichia coli triggers α-synuclein pathology in the LRRK2 transgenic mouse model of PD. Gut Microbes (2023).
2. Assessing the reproducibility of machine-learning-based biomarker discovery in Parkinson’s disease. Computers in Biology and Medicine (2024).
3. A Next-Generation Sequencing Study in a Cohort of Sicilian Patients with Parkinson’s Disease. Biomedicines (2023).