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Gene-environment Interaction Models to Unmask Susceptibility Mechanisms in Parkinson's Disease
Published on: January 7, 2014
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A transcriptome-wide association study identifies susceptibility genes for Parkinson's disease
Shi Yao1,2, Xi Zhang1, Shu-Cheng Zou1
1Department of Neurosurgery, Hunan Brain Hospital, Clinical Medical School of Hunan University of Chinese Medicine, Changsha, Hunan, P. R. China.
NPJ Parkinson'S Disease
|September 10, 2021
Summary
This study used transcriptome-wide association studies (TWAS) to identify genes linked to Parkinson's disease (PD). The research pinpointed 18 significant genes, including LRRC37A2, offering new insights into PD's genetic causes.
Area of Science:
- Neurogenetics
- Genomics
- Molecular Biology
Background:
- Genome-wide association studies (GWAS) have identified genetic loci associated with Parkinson's disease (PD).
- However, many GWAS signals are in non-coding regions, making it difficult to pinpoint specific biological mechanisms or causal genes.
- Integrating genetic data with gene expression data is crucial for understanding the functional impact of genetic associations.
Purpose of the Study:
- To identify candidate causal genes for Parkinson's disease (PD) by integrating GWAS results with expression quantitative trait loci (eQTL) data.
- To investigate the role of genetically regulated gene expression in PD pathogenesis.
- To discover novel genes and biological mechanisms underlying PD.
Main Methods:
- Conducted a transcriptome-wide association study (TWAS) for PD using summary statistics from a large-scale GWAS (>480,000 individuals).
- Integrated TWAS results with eQTL data from 13 diverse brain tissues.
- Performed conditional analyses to identify independent genetic signals and assess the contribution of gene expression to PD risk.
Main Results:
- Identified 18 genes significantly associated with PD after Bonferroni correction.
- The gene LRRC37A2 showed strong association across all 13 brain tissues analyzed.
- Discovered eight conditionally independent genes, including four novel genes (CD38, LRRC37A2, RNF40, ZSWIM7) at known PD loci.
- Demonstrated that genetically regulated gene expression underlies several significant PD GWAS signals, with LRRC37A2 and ZSWIM7 explaining substantial portions of the association signals at their respective loci.
Conclusions:
- The TWAS approach effectively prioritized candidate causal genes for PD.
- Identified LRRC37A2 and ZSWIM7 as key genes potentially influencing PD risk through gene expression.
- Uncovered potential links between PD and other phenotypes via genetic analysis of identified genes.
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