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    Home > Active Ingredient News > Study of Nervous System > JNNP: New study could improve the accuracy of Parkinson's predictions.

    JNNP: New study could improve the accuracy of Parkinson's predictions.

    • Last Update: 2020-10-07
    • Source: Internet
    • Author: User
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    September 17, 2020 /--- A study led by Queen Mary University of London suggests that genetic markers can improve the predictive accuracy of Parkinson's disease.
    is the world's second most common neurodegenerative disease.
    was diagnosed with the disease, it had caused permanent irreversible damage.
    identify people at risk or detect disease early is the best hope for preventing or developing effective treatments for Parkinson's disease.
    (Photo: www.pixabay.com) researchers used data from more than 2,000 patients diagnosed with Parkinson's disease and compared them with 1 million controls in the UK biolibrary, first investigating the correlation between certain risk factors and Parkinson's disease.
    have a family history of the disease, non-smoking, low alcohol consumption, depression, daytime drowsiness, epilepsy, early onset and a family history of dementia are less associated with individuals with Parkinson's disease.
    genetic risk factors also contribute to the development of Parkinson's disease, and by combining genetic factors with a "multigene risk score" and the above factors, the ability to predict Parkinson's disease will improve.
    continue to show that interactions between environmental and genetic risk factors can explain more missed risks.
    Dr Alastair Noyce, co-author of the study at the Wolfson Institute for Preventive Medicine at Queen Mary Hospital, said: "These results provide further evidence that we can identify people at higher risk of Parkinson's disease who will be ideal candidates for neuroprotesistive drug trials or other prevention strategies.
    study is another step forward in considering the prevention of Parkinson's disease and who is the best person to prevent it.
    .com Source: Improving Prediction of Parkinson's Disease Source: Benjamin Meir Jacobs et al. Parkinson's disease determinants, prediction and gene-environment interactions in the UK Biobank, Journal of Neurology, Neurosurgery and Psython (2020). DOI: 10.1136/jnnp-2020-323646.
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