Danielle
@DPosthu
Followers
2K
Following
3K
Media
42
Statuses
900
Scientist. Mother. Captain's wife. Loves numbers. https://t.co/UZXyuOFvD8
Amsterdam, The Netherlands
Joined May 2015
The largest GWAS for Alzheimer's disease is now out 👉109,479 cases, 74,141 proxy cases, 2,131,799 controls, 499,708 proxy controls 👉improved SNP-based heritability: 5% in previous studies --> 19% 👉127 loci, 48 novel with enrichment in microglia & neurons
3
38
150
Out today from #CTGlab as part of the EU funded @REALMENT_H2020 consortium, hear hear👇 #PRS #machinelearning #prediction #genetic
When do machine learning models actually outperform standard polygenic scores? 🤔 In our new preprint, we benchmark how non-additive genetic effects (i.e, dominance deviations) shape polygenic prediction across simulated and UK Biobank traits. 👉 https://t.co/FMbNEkIQpw 🧵 1/6
0
0
3
Proud that the third GWAS for Alzheimer's dementia from the PGC-ALZ working group was just posted online! Huge amounts of work, and what a great collaboration! Check out our exciting findings below 👇 @PGCgenetics #ctglab #alzheimer #dementia #GWAS
🚨 The preprint for our GWAS of Alzheimer’s disease (AD) is out Preprint: https://t.co/fbZDUj3c0F 🧵
0
6
11
Our new preprint on "The genetic landscape of heterogeneity in human functional brain connectivity" is available on medRxiv. Check it out! @MJ_Schipper, Christiaan de Leeuw, @cato_romero, @khelwegen, @DPosthu, Jeanne Savage and Martijn van den Heuvel. https://t.co/ZcuZNKcmpY
medrxiv.org
Understanding the genetic underpinnings of functional brain connectivity is essential to understand its role in brain health and disease. A mass-univariate approach was adopted to investigate the...
0
9
10
#ctglab is hiring! We have #vacancies! 2 PhD and 2 postdoc positions, in #statistical #genetics and/or #bioinformatics - if you like GWAS, method development and linking with biology - check these out 👇 https://t.co/0Cy3KF75lI
https://t.co/ENI5KeI6yF
https://t.co/qOLaauKNLV
0
8
15
#ctglab is hiring! We have #vacancies! 2 PhD and 2 postdoc positions, in #statistical #genetics and/or #bioinformatics - if you like GWAS, method development and linking with biology - check these out 👇 https://t.co/0Cy3KF75lI
https://t.co/ENI5KeI6yF
https://t.co/qOLaauKNLV
0
8
15
Using GWAS to detect putative drug targets for Parkinson's disease 👇
Many drug targets in ongoing Parkinson's disease clinical trials have strong genetic links. We prioritized PD GWAS genes that may represent our next-best candidates for developing disease-modifying therapeutics. https://t.co/rmPCPgAYsi
0
0
2
Just out - our latest from #ctglab! Congrats @cato_romero!
I'm so happy to share that our paper "Immune-developmental processes contribute to schizophrenia risk: insights from a genetic overlap study with height" has been published in Biological Psychiatry 🥳
0
2
4
Incredibly proud to see our latest work out in Nature Genetics: https://t.co/Sjyo9KOGBJ Here we share our FLAMES framework, which predicts the effector genes in GWAS loci with state-of-the-art precision🔥 Special thanks to @DPosthu Full thread describing findings below!
nature.com
Nature Genetics - FLAMES is a machine learning approach combining variant fine-mapping, SNP-to-gene annotations and convergence-based gene prioritization scores to identify candidate effector genes...
1
4
7
Just out from #ctglab by @MJ_Schipper - our new tool FLAMES 🔥🔥, to identify the most likely causal genes in GWAS loci, using machine learning techniques, thoroughly benchmarked and freely available Paper: https://t.co/Zc5dHzkapC Code:
github.com
FLAMES: Accurate gene prioritization in GWAS loci. Contribute to Marijn-Schipper/FLAMES development by creating an account on GitHub.
How can we accurately identify which genes are responsible for trait-associated genetic variants discovered in genome-wide association studies (GWAS)?@NatureGenet "Prioritizing effector genes at trait-associated loci using multimodal evidence" • Recent GWAS have identified
0
17
41
I'll stick around a bit, but .. I am moving to the blue side, find me at
0
0
2
New biotech launch (@TraceNeuro) targeting UNC13A in ALS with an ASO is another example of human genetics informing drug development🧬 UNC13A was among the first GWAS hits discovered for ALS https://t.co/ZQK1De658v
https://t.co/UzdeP2ycMH
0
5
22
Thanks for joining us 🤩
Something that makes me feel I am in Istanbul🇹🇷2 Thanks @itumbgclub for the amazing time in Istanbul!!
0
1
15
Huge thanks to all the students @itumbgclub who organized and hosted a fantastic meeting - 17th international ITU Mulecular Biology and Genetics Student Congress. Well done! Hope to see some of you #ctglab @VUamsterdam!
0
1
16
Had an absolute blast at #wcpg2024 in Singapore ! ✨🥳 Thank you to everyone who came to check out my poster and for the nice discussions And also the 🕺🎤🎵
0
2
18
Had a great time presenting my poster at #wcpg2024! Thanks for all the insightful discussions 🥳🧬
0
2
18
16:30 - poster F93 by first year PhD student in our @BRAINSCAPES1 project: Zeli Chen: "Prioritizing Candidate Genes in Genomic Risk Loci for Alcohol-Related Behavior with Functional and Statistical Fine-Mapping" She is an ECIP travel awardee!
0
1
0
Hello WCPG! Friday Oct 18, 2 more stars from #ctglab at the #wcpg2024, make sure not to miss them: 16:30 - poster F27 (by super PhD student who always steps in when I cant make a meeting): @nathanybell ; "Exploring the Impact of Non-Linear Effects on Genetic Risk Prediction"
1
1
11