Dataset Information

The combined effect of lifestyle factors and polygenic scores on age at onset in Parkinson's disease.

ABSTRACT:

Objective

To investigate the association between a Parkinson's disease (PD)-specific polygenic score (PGS) and protective lifestyle factors on age at onset (AAO) in PD.

Methods

We included data from 4375 patients with idiopathic PD, 167 patients with GBA1-PD, and 3091 healthy controls of European ancestry from AMP-PD, PPMI, and Fox Insight cohorts. The PGS was calculated based on a previously proposed composition of 1805 variants. The association between PGS and lifestyle factors (i.e., coffee, tobacco, and aspirin) on AAO was assessed with linear and Cox proportional hazards models.

Results

The PGS showed a negative association with AAO (β=-1.07, p=6×10^-7). The use of one, two, or three of the protective lifestyle factors showed a reduction in the hazard ratio by 21% (p=0.0001), 45% (p<2×10^-16), and 55% (p<2×10^-16), respectively, compared to no use. An additive effect of aspirin (β=7.61, p=8×10^-7) and PGS (β=-1.63, p=0.0112) was found for AAO without an interaction (p=0.9789) in the linear regressions, and similar effects were seen for tobacco. Aspirin is shown to be a better predictor of AAO (R²=0.1740) compared to coffee and tobacco use (R²=0.0243, R²=0.0295) or the PGS (R²=0.0141). In contrast, no association between aspirin and AAO was found in GBA1-PD (p>0.05).

Interpretation

In our cohort, coffee, tobacco, aspirin, and PGS are independent predictors of PD AAO. Additionally, lifestyle factors seem to have a greater influence on AAO than common genetic risk variants with aspirin presenting the largest effect. External validation of our findings is needed.

SUBMITTER: Gabbert C

PROVIDER: S-EPMC10473779 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Publications

The combined effect of lifestyle factors and polygenic scores on age at onset in Parkinson's disease.

Gabbert Carolin C Blöbaum Leonie L Lüth Theresa T König Inke R IR Caliebe Amke A Koch Sebastian S Björn-Hergen Laabs L Klein Christine C Trinh Joanne J

medRxiv : the preprint server for health sciences 20230825

<h4>Objective</h4>To investigate the association between a Parkinson's disease (PD)-specific polygenic score (PGS) and protective lifestyle factors on age at onset (AAO) in PD.<h4>Methods</h4>We included data from 4375 patients with idiopathic PD, 167 patients with <i>GBA1</i>-PD, and 3091 healthy controls of European ancestry from AMP-PD, PPMI, and Fox Insight cohorts. The PGS was calculated based on a previously proposed composition of 1805 variants. The association between PGS and lifestyle f ...[more]

PMID: 37662355

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Project description:The risk of depression could be evaluated through its multifactorial nature using the polygenic score (PGS) approach. Assuming a "clinical continuum" hypothesis of mental diseases, a preliminary assessment of individuals with elevated risk for developing depression in a non-clinical group is of high relevance. In turn, epidemiological studies suggest including social/lifestyle factors together with PGS to address the "missing heritability" problem. We designed regression models, which included PGS using 27 SNPs and social/lifestyle factors to explain individual differences in depression levels in high-education students from the Volga-Ural region (VUR) of Eurasia. Since issues related to population stratification in PGS scores may lead to imprecise variant effect estimates, we aimed to examine a sensitivity of PGS calculated on summary statistics of depression and neuroticism GWAS from Western Europeans to assess individual proneness to depression levels in the examined sample of Eastern Europeans. A depression score was assessed using the revised version of the Beck Depression Inventory (BDI) in 1065 young adults (age 18-25 years, 79% women, Eastern European ancestry). The models based on weighted PGS demonstrated higher sensitivity to evaluate depression level in the full dataset, explaining up to 2.4% of the variance (p = 3.42 × 10-7); the addition of social parameters enhanced the strength of the model (adjusted r2 = 15%, p < 2.2 × 10-16). A higher effect was observed in models based on weighted PGS in the women group, explaining up to 3.9% (p = 6.03 × 10-9) of variance in depression level assuming a combined SNPs effect and 17% (p < 2.2 × 10-16)-with the addition of social factors in the model. We failed to estimate BDI-measured depression based on summary statistics from Western Europeans GWAS of clinical depression. Although regression models based on PGS from neuroticism (depression-related trait) GWAS in Europeans were associated with a depression level in our sample (adjusted r2 = 0.43%, p = 0.019-for unweighted model), the effect was mainly attributed to the inclusion of social/lifestyle factors as predictors in these models (adjusted r2 = 15%, p < 2.2 × 10-16-for unweighted model). In conclusion, constructed PGS models contribute to a proportion of interindividual variability in BDI-measured depression in high-education students, especially women, from the VUR of Eurasia. External factors, including the specificity of rearing in childhood, used as predictors, improve the predictive ability of these models. Implementation of ethnicity-specific effect estimates in such modeling is important for individual risk assessment.

Project description:BackgroundPolygenic risk scores (PRS) for coronary heart disease (CHD) may contribute to assess the overall risk of CHD. We evaluated how PRS may influence CHD risk when the distribution of age-at-onset, sex, and family health history differ significantly.MethodsOur study included 3 family-based ascertainments: LLFS (Long Life Family Study, NIndividuals=4572), which represents a low CHD risk, and Family Heart Study, which consists of randomly selected families (FamHS-random, NIndividuals=1806), and high CHD risk families (FamHS-high risk, NIndividuals=2301). We examined the effects of PRS, sex, family ascertainment, PRS interaction with sex (PRS*sex) and with family ascertainment (PRS*LLFS and PRS*FamHS-high risk) on CHD, corrected for traditional cardiovascular risk factors using Cox proportional hazard regression models.ResultsHealthy-aging LLFS presented ≈17 years delayed for CHD age-at-onset compared with FamHS-high risk (P<1.0×10-4). Sex-specific association (P<1.0×10-17) and PRS*sex (P=2.7×10-3) predicted prevalent CHD. CHD age-at-onset was associated with PRS (hazard ratio [HR], 1.57; P=1.3×10-5), LLFS (HR, 0.54; P=2.6×10-5), and FamHS-high risk (HR, 2.86; P=6.70x10-15) in men, and with PRS (HR, 1.76; P=7.70×10-3), FamHS-high risk (HR, 4.88; P=8.70×10-10), and PRS×FamHS-high risk (HR, 0.61; P=3.60×10-2) in women. In the PRS extreme quartile distributions, CHD age-at-onset was associated (P<0.05) with PRS, FamHS-high risk, and PRS interactions with both low and high CHD risk families for women. For men, the PRS quartile results remained similar to the whole distribution.ConclusionsDifferences in CHD family-based ascertainments show evidence of PRS interacting with sex to predict CHD risk. In women, CHD age-at-onset was associated with PRS, CHD family history, and interactions of PRS with family history. In men, PRS and CHD family history were the major effects on the CHD age-at-onset. Understanding the heterogeneity of risks associated with CHD end points at both the personal and familial levels may shed light on the underlying genetic effects influencing CHD and lead to more personalized risk prediction.

Dataset Information

The combined effect of lifestyle factors and polygenic scores on age at onset in Parkinson's disease.

Objective

Methods

Results

Interpretation

Publications

The combined effect of lifestyle factors and polygenic scores on age at onset in Parkinson's disease.

Similar Datasets

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