scholarly journals Parkinson’s disease determinants, prediction and gene–environment interactions in the UK Biobank

2020 ◽  
Vol 91 (10) ◽  
pp. 1046-1054 ◽  
Author(s):  
Benjamin Meir Jacobs ◽  
Daniel Belete ◽  
Jonathan Bestwick ◽  
Cornelis Blauwendraat ◽  
Sara Bandres-Ciga ◽  
...  

ObjectiveTo systematically investigate the association of environmental risk factors and prodromal features with incident Parkinson’s disease (PD) diagnosis and the interaction of genetic risk with these factors. To evaluate whether existing risk prediction algorithms are improved by the inclusion of genetic risk scores.MethodsWe identified individuals with an incident diagnosis of PD (n=1276) and controls (n=500 406) in UK Biobank. We determined the association of risk factors with incident PD using adjusted logistic regression models. We constructed polygenic risk scores (PRSs) using external weights and selected the best PRS from a subset of the cohort (30%). The PRS was used in a separate testing set (70%) to examine gene–environment interactions and compare predictive models for PD.ResultsStrong evidence of association (false discovery rate <0.05) was found between PD and a positive family history of PD, a positive family history of dementia, non-smoking, low alcohol consumption, depression, daytime somnolence, epilepsy and earlier menarche. Individuals with the highest 10% of PRSs had increased risk of PD (OR 3.37, 95% CI 2.41 to 4.70) compared with the lowest risk decile. A higher PRS was associated with earlier age at PD diagnosis and inclusion of the PRS in the PREDICT-PD algorithm led to a modest improvement in model performance. We found evidence of an interaction between the PRS and diabetes.InterpretationHere, we used UK Biobank data to reproduce several well-known associations with PD, to demonstrate the validity of a PRS and to demonstrate a novel gene–environment interaction, whereby the effect of diabetes on PD risk appears to depend on background genetic risk for PD.

2020 ◽  
Author(s):  
Benjamin M. Jacobs ◽  
Daniel Belete ◽  
Jonathan P Bestwick ◽  
Cornelis Blauwendraat ◽  
Sara Bandres-Ciga ◽  
...  

AbstractObjectiveTo systematically investigate the association of environmental risk factors and prodromal features with incident Parkinson’s disease (PD) diagnosis and the interaction of genetic risk with these factors. To evaluate existing risk prediction algorithms and the impact of including addition genetic risk on the performance of prediction.MethodsWe identified individuals with incident PD diagnoses (n=1276) and unmatched controls (n=500,406) in UK Biobank. We determined the association of risk factors with incident PD using adjusted logistic regression models. A polygenic risk score (PRS) was constructed and used to examine gene-environment interactions. The PRS was also incorporated into a previously-developed prediction algorithm for finding incident cases.ResultsStrong evidence of association (Pcorr<0.05) was found between PD and a positive family history of PD, a positive family history of dementia, non-smoking, low alcohol consumption, depression, and daytime somnolence, and novel associations with epilepsy and earlier menarche. Individuals with the highest 10% of PRS scores had increased risk of PD (OR=3.30, 95% CI 2.57-4.24) compared to the lowest risk decile. Higher PRS scores were associated with earlier age at PD diagnosis and inclusion of the PRS in the PREDICT-PD algorithm improved model performance (Nagelkerke pseudo-R2 0.0053, p=6.87×10−14). We found evidence of interaction between the PRS and diabetes.InterpretationHere we used UK Biobank data to reproduce several well-known associations with PD, to demonstrate the validity and predictive power of a polygenic risk score, and to demonstrate a novel gene-environment interaction, whereby the effect of diabetes on PD risk appears to depend on prior genetic risk for PD.


Author(s):  
Ryan J. Uitti ◽  
Hitoshi Shinotoh ◽  
Margo Hayward ◽  
Michael Schulzer ◽  
Edwin Mak ◽  
...  

ABSTRACT:Background:Parkinson's disease (PD) patients frequently report a family history of PD and this may provide etiological clues to PD. It has also been suggested that a report of a negative family history is reliable. We studied the prevalence of PD in relatives of PD patients to assess the reliability of family history and to evaluate possible explanations of “familial PD”(fPD).Methods:81 of 650 (12.5%) PD probands (all PD patients seen at clinic in 4 years) reported a positive family history of PD. Each fPD proband was matched with non-familial PD (nfPD) proband by gender and year of birth. Screening and follow-up questionnaires were mailed to relatives to obtain information concerning pedigree and presence of neurodegenerative disease. Available family members (regardless of disease status) were examined.Results:On examination, 8 persons, said to be “normal” by probands, relatives and themselves, had definite or possible PD (5 fPD, 3 nfPD). The prevalence rate of PD among first and second degree living relatives of probands varied significantly between fPD and nfPD groups (6269/100 000 versus 1190/100 000; p < 0.001). The weighted prevalence (taking into account the proportions of fPD and nfPD within the clinic) was 1822/100 000, a value more than 5 times higher than reported prevalence rates of PD in the general population (p < 0.001). The prevalence rate was greater in first degree relatives than second degree.Conclusions:“Familial parkinsonism” cannot be explained merely by size of or advanced age within families. Significant numbers of previously unrecognized PD patients may be identified despite a “negative” family history. That is, the patient's report of an absence of familial parkinsonism is frequently inaccurate. The prevalence rate in relatives of PD patients appears to be higher than the general population – regardless of the family history reported by a PD patient. We believe our study suggests that genetic influences or early life environmental exposures are likely to be of etiological importance in PD.


2009 ◽  
Vol 24 (15) ◽  
pp. 2285-2288 ◽  
Author(s):  
Peter Hedera ◽  
John Y. Fang ◽  
Fenna Phibbs ◽  
Michael K. Cooper ◽  
P. David Charles ◽  
...  

1999 ◽  
Vol 18 (5) ◽  
pp. 270-278 ◽  
Author(s):  
Benjamin A. Rybicki ◽  
Christine C. Johnson ◽  
Edward L. Peterson ◽  
Gene X. Kortsha ◽  
Jay M. Gorell

2010 ◽  
Vol 5 (1) ◽  
pp. 30
Author(s):  
Roy N Alcalay ◽  
Cheryl Waters ◽  
◽  

Early-onset Parkinson's disease (EOPD) is defined as disease onset before 40 or 50 years of age. The clinical characteristics of EOPD are very similar to those of late-onset PD, but dystonia is more often a presenting symptom, dementia is rare and disease progression may be slower. Mutations in several genes have been described in cases with EOPD, often with strong family history, including mutations in α-synuclein (SNCA),DJ-1,PTEN-induced kinase-1 (PINK-1) andATP13A2. However, the most common mutations identified in EOPD are in Parkin (PRKN), leucinerich repeat kinase 2 (LRRK2) and glucocerebrosidase (GBA). With the exception ofSNCAandATP13A2carriers, mutation carriers are often indistinguishable from non-carriers. Large series of EOPD cases that are not ascertained by family history estimate mutation frequency at 4–16%. Given that the frequency of positive family history is much higher, we believe that many genetic risk factors are yet to be discovered.


Genetika ◽  
2015 ◽  
Vol 47 (1) ◽  
pp. 303-310
Author(s):  
Irena Vrecar ◽  
Ales Maver ◽  
Zvezdan Pirtosek ◽  
Dejan Georgiev ◽  
Zalika Klemenc-Ketis ◽  
...  

The aim of our study was to examine the contribution of family history of Parkinson's disease and its associated disorders in the assessment of predictive capacity of risk models for Parkinson?s disease. In a population of 192 patients with Parkinson?s disease and 1659 healthy individuals we investigated the impact of environmental factors and the effects of family history on Parkinson's disease risk. Pesticides exposure, positive family history of Parkinson?s disease and a positive family history of dementia and melanoma were associated to an increased risk for Parkinson?s disease, with results regarding family history of depression near to statistical significance. Smoking and caffeine intake were associated to a decreased risk for Parkinson?s disease. Three risk prediction models were assessed using the area under the curve approach: first model was based on known environmental risk factors, in the second model we added family history of Parkinson?s disease and in the third model we additionally included family history of dementia, melanoma and depression. We showed that inclusion of data on family history of associated disorders (AUC 0.76) improves predictive capacity of risk model for Parkinson?s disease in comparison with the first (AUC 0.62) and the second model (AUC 0.71). We concluded that family history of associated disorders: dementia, depression and melanoma improves predictive capacity of risk models for Parkinson?s disease.


Author(s):  
Ma. Elisa Alonso ◽  
Enrique Otero ◽  
Rosalinda D'Regules ◽  
Hector Hugo Figueroa

ABSTRACT:A sample of 122 patients with Parkinson's Disease was studied for the purpose of investigating if the frequency of relatives affected with Parkinson in this group was higher than in a control group and to see if the genetic load was more important in some of the subtypes of Parkinson described by Barbeau and Pourcher (1982).7 In our 122 patients, we found that 1.7% were post-encephalic parkinsonian, 12.3% were symptomatic cases and 86% of the idiopathic variety. There were 16.1% early onset patients in the idiopathic group and among these we found 23.5% with a positive family history of Parkinson in the first-degree relatives. In 6 cases with the tremor onset form of the disease, the family history was positive and 5 patients, 4.7% had familial essential tremor-related Parkinsonism. Our results support Barbeau's hypothesis7.19 that Parkinson is a heterogeneous disease in which some subtypes (such as early onset Parkinson) have an important genetic subceptibility component.


Genes ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 430
Author(s):  
Steven R. Bentley ◽  
Ilaria Guella ◽  
Holly E. Sherman ◽  
Hannah M. Neuendorf ◽  
Alex M. Sykes ◽  
...  

Parkinson’s disease (PD) is typically sporadic; however, multi-incident families provide a powerful platform to discover novel genetic forms of disease. Their identification supports deciphering molecular processes leading to disease and may inform of new therapeutic targets. The LRRK2 p.G2019S mutation causes PD in 42.5–68% of carriers by the age of 80 years. We hypothesise similarly intermediately penetrant mutations may present in multi-incident families with a generally strong family history of disease. We have analysed six multiplex families for missense variants using whole exome sequencing to find 32 rare heterozygous mutations shared amongst affected members. Included in these mutations was the KCNJ15 p.R28C variant, identified in five affected members of the same family, two elderly unaffected members of the same family, and two unrelated PD cases. Additionally, the SIPA1L1 p.R236Q variant was identified in three related affected members and an unrelated familial case. While the evidence presented here is not sufficient to assign causality to these rare variants, it does provide novel candidates for hypothesis testing in other modestly sized families with a strong family history. Future analysis will include characterisation of functional consequences and assessment of carriers in other familial cases.


2021 ◽  
Vol 90 ◽  
pp. 161-164
Author(s):  
Seong-Min Choi ◽  
Soo Hyun Cho ◽  
Kyung Wook Kang ◽  
Jae-Myung Kim ◽  
Byeong C. Kim

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1751 ◽  
Author(s):  
Lucy M Collins ◽  
Janelle Drouin-Ouellet ◽  
Wei-Li Kuan ◽  
Timothy Cox ◽  
Roger A Barker

Background: Recently, the development of Parkinson’s disease (PD) has been linked to a number of genetic risk factors, of which the most common is glucocerebrosidase (GBA) mutations. Methods: We investigated PD and Gaucher Disease (GD) patient derived skin fibroblasts using biochemistry assays. Results: PD patient derived skin fibroblasts have normal glucocerebrosidase (GCase) activity, whilst patients with PD and GBA mutations have a selective deficit in GCase enzyme activity and impaired autophagic flux. Conclusions: This data suggests that only PD patients with a GBA mutation have altered GCase activity and autophagy, which may explain their more rapid clinical progression.


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