
egyptian/مصرية 🇪🇬𓂀 • @DataTecnica • currently @NIH studying neurodegen. *omics 🧬🧠 • @geno_ml core dev • @LoyolaChicago @UCLIoN alumna • she/her
washington dc-ish
Joined August 2012
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- Following564
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Mary Makarious retweeted
GP2 release 7 is now live!!!
Massive effort from great collaborators across @DataTecnica , @NIHAging , @Verily , MJFF and @ASAP_Research to get this done.
Check out the release that is now live on Verily Workbench and Terra.
Mary Makarious retweeted
Paper out!
Federated learning for multi-omics: A performance evaluation in Parkinson’s disease
TL/DR: Federated learning particularly in a boosted framework is comparable to central analyses ... let's start learning across data silos now!
cell.com/patterns/fulltext/S…
M&M at it again - honored to present this morning in the beautiful Cartagena about future directions, analyses, and data for @ASAP_Research's GP2! – at Cartagena, Colombia
Lucky to team with the amazing @mbmakarious to talk data engineering for accelerating #openscience at @ASAP_Research GP regional meet in Cartagena.
Sidenote, the dual monitors are quite bright. 🫥
📸 @SingletonNeuro
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Get some rest and use this as the reason (after reading this) 😴
Get some sleep!
Sleep issues in 2M samples show risk of neurodegeneration 15 years out and compensates for low genetic risk.
Check the link for a break down of our preprint from a collaboration between the UKDRI, NIH's CARD and @DataTecnica.
datatecnica.com/blog/working…
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Mary Makarious retweeted
New blog post on our proof of concept for federated learning applications in healthcare. datatecnica.com/blog/federat…
We show in a multi-modal precision medicine application, federated machine learning is comparable to centralized data efforts but is safe and efficient across silos!
Mary Makarious retweeted
Hats off to this trio of outstanding scientists for their huge contributions to the field of PD genetics.
Congrats to my mentor @SingletonNeuro - Thanks for your tireless effort, perseverance and a never-give-up attitude. What a daily source of inspiration!
Congratulations to Thomas Gasser, Ellen Sidransky and Andrew Singleton, who win the 2024 Breakthrough Prize in Life Sciences for discovering key genetic risk factors for Parkinson's disease. breakthroughprize.org/News/8…
@NIHAging @NIH @genome_gov @DZNE_en @uni_tue
Mary Makarious retweeted
Proud of our guy @SingletonNeuro !!!
Congratulations to Thomas Gasser, Ellen Sidransky and Andrew Singleton, who win the 2024 Breakthrough Prize in Life Sciences for discovering key genetic risk factors for Parkinson's disease. breakthroughprize.org/News/8…
@NIHAging @NIH @genome_gov @DZNE_en @uni_tue
So honored to be part of GP2 and be a part of this work! 😊
Check out @ELeap29 blog on #GBA1Discovery and the way #GP2research is pioneering collaborative science gp2.org/collaborative-scienc…
Mary Makarious retweeted
(1/2) Thanks to @NewsHour for giving me the opportunity to chat with @johnyangtv about the groundbreaking #GBA1discovery from @ASAP_Research's #GP2 researchers!
Intentional #collaboration + #inclusive research paves the way for #discoveries 🙌🏾🙌🏾
We're moving full speed ahead!
New research has identified a genetic variant that increases the risk of Parkinson’s in people of African descent, and is not seen in those with European ancestry.
@johnyangtv speaks to @ELeap29 for more.
👏👏👏
Today I presented my project on #GP2AIM. It is a pleasure to talk about the ancestry in association studies and the positive impact in addressing this information in the studies.
Let's make science more inclusive
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Out now in @Brain1878! 🥳 Here, we conduct the first large-scale study to investigate rare variant associations of Parkinson's disease risk at a genome-wide scale. In total, we looked at 7,184 PD cases, 6,701 proxy cases, and 51,650 healthy controls
New research from @mbmakarious @cornelisblauw & colleagues presents the largest #Parkinsons genetic burden test to date; identifying GBA1 & LRRK2 as 2 genes harboring rare variants associated with PD & nominating several other previously unidentified gene
academic.oup.com/brain/advan…
However, further research into the biological mechanisms is critical to confirm the role of these genes in PD. Further replication in larger datasets that prioritize familial PD cases and non-European ancestry will provide greater insight into all nominated genes
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Link to the manuscript can be found here: academic.oup.com/brain/advan…
Mary Makarious retweeted
Our own @C_WSolsberg @halsty and friends from NIH CARD 🧬 identify novel AD loci by leveraging diversity across populations @UCSFmac – at Miguel Hidalgo, Distrito Federal
And another one … @C_WSolsberg and @HamptonLLeonard cranking out #AlzheimersDisease multi-ancestry meta-analysis #GWAS. With some deep dives into heterogeneity of effects and risk prediction implications. Team effort from NIH’s CARD and friends!
nature.com/articles/s41380-0…
Mary Makarious retweeted
Been a great day for publications from the team. @mkoretsky1 and the team great job on showing genetic overlap and in some instances a depletion of genetic risk across and within neurodegenerative diseases. – at Nashville, TN
Genetic risk factor clustering within and across neurodegenerative conditions (such as #Parkinsons, #Alzheimers, #ALS) - from @HamptonLLeonard & colleagues; "Neurodegenerative diseases have more overlapping genetic etiology than previously expected"
academic.oup.com/brain/advan…
Mike is right, Chelsea Alvarado (twitterless 🥲) and @HamptonLLeonard's exciting work here is just the beginning... 🙏
New preprint from the team at CARD, nominating novel drug targets for neurodegenerative disease using multi-omic and genetic data.
Hoping this is a starting point for community target discovery specifically focused on ADRD.
medrxiv.org/content/10.1101/…
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