Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to page options Skip directly to site content


Main|Search|PHGKB
Search PHGKB:

Last Posted: Apr 11, 2024
spot light Highlights

Improved measurement of disease progression in people living with early Parkinson's disease using digital health technologies.
Matthew D Czech et al. Commun Med (Lond) 2024 3 (1) 49

From the abstract: "Digital health technologies show promise for improving the measurement of Parkinson’s disease in clinical research and trials. However, it is not clear whether digital measures demonstrate enhanced sensitivity to disease progression compared to traditional measurement approaches. We develop a wearable sensor-based digital algorithm for deriving features of upper and lower-body bradykinesia and evaluate the sensitivity of digital measures to 1-year longitudinal progression using data from the WATCH-PD study, a multicenter, observational digital assessment study in participants with early, untreated Parkinson’s disease. "

Challenges of Parkinson's disease GWASs in African people.
Samia Ben Sassi et al. Lancet Neurol 2023 10 (11) 975-976

From the paper: "The genetic architecture of Parkinson's disease ranges from familial monogenic forms caused by rare highly penetrant variants to complex sporadic forms associated with high-frequency low-penetrance variants. Most large-scale genome-wide association studies (GWASs) have been done in individuals of European ancestry, and data on common low-penetrance risk variants associated with Parkinson's disease in African people are scarce. "

Risk factor for Parkinson's discovered in genes from people of African descent
J Hamilton, NPR, September 24, 2023

From the website: "A global effort to make genetic studies more diverse has led to a discovery about Parkinson's disease, a common brain disorder that can impair a person's ability to move and speak. A team that included scientists from Lagos, London and the U.S. found a previously unknown gene variant that can nearly quadruple the risk of Parkinson's for people of African ancestry. "

AI detects eye disease and risk of Parkinson's from retinal images.
Mariana Lenharo et al. Nature 2023 9

From the article: " Scientists have developed an artificial intelligence (AI) tool capable of diagnosing and predicting the risk of developing multiple health conditions — from ocular diseases to heart failure to Parkinson’s disease — all on the basis of people’s retinal images. AI tools have been trained to detect disease using retinal images before, but what makes the new tool — called RETFound — special is that it was developed using a method known as self-supervised learning. That means that the researchers did not have to analyse each of the 1.6 million retinal images used for training and label them as ‘normal’ or ‘not normal’, for instance. "

Search Result Summary


Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

TOP