Member Publications and Conference Presentations - Q2 2024

Hi there, DCoP members! I hope April and Q2 are off to a good start. As usual, we’re creating a new Topic where you all can share the work you’ve been doing, including papers or pre-prints you’ve written or been involved with, or talks you’ve given. Please use this thread to add links to any relevant articles that you have written recently, or to link to slides and/or recordings of your conference presentations.

We love hearing what you’re working on, and sharing your projects can be a great way to make connections or foster new collaborations. Thanks to everyone who shared on the Q1 2024 Topic – it’s very cool to see the breadth of topics that you’re focusing on.

Really looking forward to seeing your work!

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Hi everyone, I am happy to share that we “re-submitted” the Multi-ancestry PRS conducted in GP2 release 6 data, TODAY! In this version, we moved from release 5 to 6, and compared 2 PRS models. Here is the link. If you find it interesting, I could make a summary on the main findings to share with you.

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Hi DCOP, got one of our papers (A person-centered approach to characterizing longitudinal ambulatory impairment in Parkinson's disease | Scientific Reports) accepted in Scientific Reports - modelling self-reported mobility impairments in Parkinson’s disease based on data from the FOX DEN. The goal for this paper was to create endpoints for GWAS, which has been done, I just need an extract pair of hands to write it :).

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Hi everyone! I’m excited to share our recent paper Genetic analysis and natural history of Parkinson’s disease due to the LRRK2 G2019S variant published today in BRAIN.

Please don’t hesitate to reach out if there’s any questions or feedback!

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Wow! I’m REALLY IMPRESSED by your research! Congratulations, Matthew! This information is very useful for me, as I’m working with subtyping approaches for PD and this is yet another justification for the methodology of my work, as we’ve opted to only subtype patients that have sporadic PD, excluding monogenic forms. The rationale is the same as your article clearly describes: that some monogenic forms have specific and distinctive clinical trajectories. Not accounting for this in subtyping is, therefore, a significant bias :slight_smile:

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Thank you @danieltds! I’m really glad that you found our publication useful :slightly_smiling_face:

I’m looking forward to seeing your sub-typing work. I’m also working on sub-typing, but on the other side of the coin; within “monogenic” forms of PD. Best of luck!

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Hi folks, happy to report that our revised Fox Insight data descriptor was just published in Nature: Scientific Data! (Fox Insight at 5 years - a cohort of 54,000 participants contributing longitudinal patient-reported outcome, genetic, and microbiome data relating to Parkinson’s disease). This is an expanded manuscript building on our 2020 report which dives into all the new and exciting study data. Namely: 20,000 additional participants, 1,747,729 more surveys completed, 130gb of genetic data made available, 16 new one-time surveys, and the release of microbiome data. Please feel free to reach out with any questions – and big thanks to fellow community members @lkirsch and @keatons for their contributions to this effort!

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That’s amazing! Such a rich data set - really excited to see what researchers find by mining all the microbiome data!

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Awesome! Congratulations @jgottesman!

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