Top Tweets for #FineMapping
Introducing #scDRS-FM for #finemapping #polygenic disease associations across individual cells in #scRNAseq!
✅Distinguishes disease associations among closely related cell populations
✅Substantially higher power than #scDRS
https://t.co/20Vr18wElS
Identification and fine mapping of a major #QTL for #grain protein content, #qGPC4D, using #wheat–#Aegilops tauschii introgression lines
🌟https://t.co/aXpzfOiHVX
#FineMapping #PlantScience #CropScience
Excited to share our latent factor approach for high-dimensional trait #GWAS + #finemapping out in @CellGenomics
https://t.co/DKfSmAVDME
Uses summary-level data.
Software: https://t.co/L4D0Hs7r0Q
@FZ_Cambridge @WilliamAstle @aidanbutty
@MRC_BSU @CAMBRIDGE_CEU
Improved genetic discovery and fine-mapping resolution through multivariate latent factor analysis of high-dimensional traits https://t.co/MXxrZKj7VU
Have you been working on trait mapping, genomics-assisted breeding, etc.? Share your research on the latest techniques/findings in our collection🥳🙏! We are accepting original research, reviews, methods, & more🤞 #QTLMapping #QTL/GeneCloning #Breeding #FineMapping
🚀Join us in exploring the outcomes of QTL mapping on breeding programs, and its role in developing climate-resilient, high-yielding crop varieties!
Share your insights by the 18th of April 2025
https://t.co/nfINAYFG4D
📢 New preprint led by Kai Yuan introduces SuSiEx, a powerful method for cross-population fine-mapping! SuSiEx improves genetic resolution by leveraging genomic diversity across ancestries, applied to GWAS summary statistics. 🧬🌍 #Genetics #FineMapping👇
New preprint - genetic analyses of latent factors from high-dimensional traits give enhanced power for #GWAS discovery and #finemapping
Highest gains are through multi-trait fine-mapping of latent factors - we introduce flashfmZero
@FZ_Cambridge, @WilliamAstle, @aidanbutty
Improved genetic discovery and fine-mapping resolution through multivariate latent factor analysis of high-dimensional traits https://t.co/aDvR8BfRTV #biorxiv_genetic
Excited to share that our new multi-group multi-trait #finemapping method MGflashfm, that uses #GWAS summary statistics, has been published online at @NatureComms
@FZ_Cambridge, @OpeSoremekun, @tchikowore1, @SFatumo, @InesBarroso4, Andrew Morris
@MRC_BSU
https://t.co/rtopjNkilU
Please save the date: Wed Oct 11 at 9.45am for the symposium organized by @HEdenberg2, @stephanripke, @kt_neuro, Kai Yuan, Gio Panagiotaropoulou and I focusing on #finemapping. Schedule attached below 👇#WCPG2023
Building up the hype for #WCPG2023! Please save the date for the symposium on Wed Oct 11 at 9.45 am organized by @HEdenberg2, @stephanripke, @kt_neuro, Kai Yuan, Gio Panagiotaropoulou and I to discuss about latest advances and cutting-edge dry and wet lab #finemapping methods! 👇
Building up the hype for #WCPG2023! Please save the date for the symposium on Wed Oct 11 at 9.45 am organized by @HEdenberg2, @stephanripke, @kt_neuro, Kai Yuan, Gio Panagiotaropoulou and I to discuss about latest advances and cutting-edge dry and wet lab #finemapping methods! 👇
Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease. By Julie Lake et al. @NIHAging #alzheimers #genetics #meetaanalysis #multiancesntry #finemapping #neuropsychiatry #OpenAcces https://t.co/ANASTzXocr
The paper on our new fine-mapping method - which (1) applies an efficient effect size prior, (2) can account for LD misspecification, and (3) runs super-fast MCMC - is now published! #GWAS #finemapping #bioinformatics #Genetics @UniOulu
https://t.co/ri5pBsqqAr
Happy to share our article with you. Dive into #finemapping, #genediscovery, and #genomicsassisted breeding + the productivity/quality + effect of rising temperatures in semi-arid environments on groundnut. Thanks to all authors @Gangurde_SS @ICRISAT
https://t.co/lLDfyAYgVw
This is my super smart cousin who's presenting his work in a plenary session at #ASHG22 #ASHG2022 be sure to check it out!! #Alzheimers
#finemapping #variants
Be sure to check it out!!
Here's the abstract: https://t.co/GcOsCR2X3b
If you’re at #ASHG22 join for my talk at 11:45 on Thursday, ProgNbr 270! I’ll be presenting my work on fine-mapping of Alzheimer’s Disease loci in the “methylome and transcriptome of complex traits” session. Look out for all of this incredible work from the Raj Lab as well!
Revisiting a GWAS peak in Arabidopsis thaliana reveals possible confounding by genetic heterogeneity https://t.co/zikZgePbdA
When GWAS goes wrong: a spurious association may be due to two causal loci.
#GWAS #finemapping #Arabidopsis
Revisiting a GWAS peak in Arabidopsis thaliana reveals possible confounding by genetic heterogeneity https://t.co/zikZgePbdA
When GWAS goes wrong: a spurious association may be due to two causal loci.
#GWAS #finemapping #Arabidopsis
Revisiting a GWAS peak in Arabidopsis thaliana reveals possible confounding by genetic heterogeneity https://t.co/zikZgexzP0
When GWAS goes wrong: a spurious association may be due to two causal loci.
#GWAS #finemapping #Arabidopsis
Revisiting a GWAS peak in Arabidopsis thaliana reveals possible confounding by genetic heterogeneity https://t.co/zikZgexzP0
When GWAS goes wrong: a spurious association may be due to two causal loci.
#GWAS #finemapping #Arabidopsis
Revisiting a GWAS peak in Arabidopsis thaliana reveals possible confounding by genetic heterogeneity https://t.co/zikZgePbdA
When GWAS goes wrong: a spurious association may be due to two causal loci.
#GWAS #finemapping #Arabidopsis
Revisiting a GWAS peak in Arabidopsis thaliana reveals possible confounding by genetic heterogeneity https://t.co/zikZgexzP0
When GWAS goes wrong: a spurious association may be due to two causal loci.
#GWAS #finemapping #Arabidopsis
Revisiting a GWAS peak in Arabidopsis thaliana reveals possible confounding by genetic heterogeneity https://t.co/zikZgexzP0
When GWAS goes wrong: a spurious association may be due to two causal loci.
#GWAS #finemapping #Arabidopsis
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