Pesticide exposure and risk of Parkinson's disease: a family-based case-control study.

BACKGROUND: Pesticides and correlated lifestyle factors (e.g., exposure to well-water and farming) are repeatedly reported risk factors for Parkinson's disease (PD), but few family-based studies have examined these relationships. METHODS: Using 319 cases and 296 relative and other controls, associations of direct pesticide application, well-water consumption, and farming residences/occupations with PD were examined using generalized estimating equations while controlling for age-at-examination, sex, cigarette smoking, and caffeine consumption. RESULTS: Overall, individuals with PD were significantly more likely to report direct pesticide application than their unaffected relatives (odds ratio = 1.61; 95% confidence interval, 1.13-2.29). Frequency, duration, and cumulative exposure were also significantly associated with PD in a dose-response pattern (p

Smoking, caffeine, and nonsteroidal anti-inflammatory drugs in families with Parkinson disease.

OBJECTIVE: To assess associations between Parkinson disease (PD) and putatively protective factors-smoking, caffeine (coffee, tea, and soft drinks), and nonsteroidal anti-inflammatory drugs (aspirin, ibuprofen, and naproxen). DESIGN: Family-based case-control study. SETTING: Academic medical center clinic. PARTICIPANTS: A total of 356 case subjects and 317 family controls who self-reported environmental exposures. MAIN OUTCOME MEASURES: Associations between PD and environmental measures (history, status, dosage, duration, and intensity) of smoking, coffee, caffeine, nonsteroidal anti-inflammatory drugs, and non-aspirin nonsteroidal anti-inflammatory drugs were examined using generalized estimating equations with an independent correlation matrix while controlling for age and sex. RESULTS: Individuals with PD were significantly less likely to report ever smoking (odds ratio = 0.56; 95% confidence interval, 0.41-0.78). Additional measures of smoking revealed significant inverse associations with PD (P<.05) and trends in odds ratios (P<.005). Increasing intensity of coffee drinking was inversely associated with PD (test for trend P = .05). Increasing dosage (trend P = .009) and intensity (trend P = .01) of total caffeine consumption were also inversely associated, with high dosage presenting a significant inverse association for PD (odds ratio = 0.58; 95% confidence interval, 0.34-0.99). There were no significant associations between nonsteroidal anti-inflammatory drugs and PD. CONCLUSIONS: Inverse associations of smoking and caffeine were corroborated using families with PD, thus emphasizing smoking and caffeine as important covariates to consider in genetic studies of PD.

NOS2A and the modulating effect of cigarette smoking in Parkinson's disease.

OBJECTIVE: Inducible nitric oxide synthase, a protein product of NOS2A, generates nitric oxide as a defense mechanism, but excessive levels threaten cellular survival. NOS2A is a candidate gene for Parkinson's disease (PD) that potentially interacts with cigarette smoking. We examined NOS2A for association with PD risk and age at onset (AAO) and for interaction with smoking. METHODS: We genotyped 13 NOS2A single nucleotide polymorphisms (SNPs) in 466 singleton families and in a validation set of 286 multiplex families. We tested allelic and haplotypic association using the association in the presence of linkage test, genotypic associations using the genotype pedigree disequilibrium test, AAO effects using the quantitative transmission disequilibrium test, and interactions using generalized estimating equations. RESULTS: Among the pooled earliest onset families, rs2255929 and rs1060826 generated significant allelic (p = 0.000059 and 0.0062, respectively) and genotypic (p = 0.0039 and 0.0014, respectively) associations with risk and AAO (p = 0.00070 and 0.0073, respectively); the two-SNP haplotype generated even stronger association with PD (p = 0.000013). Significant interactions with smoking (p = 0.0015 for rs 2255929 and p < 0.0001 for rs 1060826) were detected in a subset of the families; smoking was inversely associated with PD among risk allele noncarriers, but significance diminished among carriers. INTERPRETATION: Our findings support NOS2A as a genetic risk factor in PD, potentially by influencing AAO and by modifying the inverse association between PD and smoking.

Expression profiling of substantia nigra in Parkinson disease, progressive supranuclear palsy, and frontotemporal dementia with parkinsonism.

BACKGROUND: Parkinson disease (PD) is characterized by loss of dopaminergic neurons in the substantia nigra. Genes contributing to rare mendelian forms of PD have been identified, but the genes involved in the more common idiopathic PD are not well understood. OBJECTIVES: To identify genes important to PD pathogenesis using microarrays and to investigate their potential to aid in diagnosing parkinsonism. DESIGN: Microarray expression analysis of postmortem substantia nigra tissue. PATIENTS: Substantia nigra samples from 14 unrelated individuals were analyzed, including 6 with PD, 2 with progressive supranuclear palsy, 1 with frontotemporal dementia with parkinsonism, and 5 control subjects. MAIN OUTCOME MEASURES: Identification of genes significantly differentially expressed (P<.05) using Affymetrix U133A microarrays. RESULTS: There were 142 genes that were significantly differentially expressed between PD cases and controls and 96 genes that were significantly differentially expressed between the combined progressive supranuclear palsy and frontotemporal dementia with parkinsonism cases and controls. The 12 genes common to all 3 disorders may be related to secondary effects. Hierarchical cluster analysis after exclusion of these 12 genes differentiated 4 of the 6 PD cases from progressive supranuclear palsy and frontotemporal dementia with parkinsonism. CONCLUSIONS: Four main molecular pathways are altered in PD substantia nigra: chaperones, ubiquitination, vesicle trafficking, and nuclear-encoded mitochondrial genes. These results correlate well with expression analyses performed in several PD animal models. Expression analyses have promising potential to aid in postmortem diagnostic evaluation of parkinsonism.

Genomic convergence to identify candidate genes for Parkinson disease: SAGE analysis of the substantia nigra.

Genomic convergence is a multistep approach that combines gene expression with genomic linkage to identify and prioritize susceptibility genes for complex disease. As a first step, we previously performed linkage analysis on 174 multiplex Parkinson's disease (PD) families, identifying five peaks for PD risk and two for genes affecting age at onset (AAO) in PD [Hauser et al., Hum Mol Genet 2003;12:671-677]. We report here the next step: serial analysis of gene expression [SAGE; Scott et al., JAMA 2001;286:2239-2242] to analyze substantia nigra tissue from three PD patients and two age-matched controls. We find 933 differentially expressed genes (P<0.05) between PD and controls, but of these, only 50 genes represented by unique SAGE tags map within our previously described PD linkage regions. Furthermore, genes encoded by mitochondrial DNA are expressed 1.5-fold higher in PD patients versus controls, without an increase in the corresponding nuclear-encoded mitochondrial components, suggesting an increase in mtDNA genomes in PD or a disjunction with nuclear expression. The next step in the genomic convergence process will be to screen these 50 high-quality candidate genes for association with PD risk susceptibility and genetic effects on AAO.