Feng Zhou

Research Associate

[bioRxiv Genetics @biorxiv_genetic]

Improved genetic discovery and fine-mapping resolution through multivariate latent factor analysis of high-dimensional traits https://t.co/aDvR8BfRTV #biorxiv_genetic

[Jennifer Asimit @JennAsimit]

Happy to share env-MR-MEGA - first in our suite of environment-adjusted #GWAS methods

Use summary-level data to quantify environmental and ancestral heterogeneity

Amazing teamwork with @SiruRooney, @SolaOjewunmi, @ab_kamiza, Michele Ramsay, Andrew Morris, @tchikowore1, @SFatumo

[Jennifer Asimit @JennAsimit]

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

[Jennifer Asimit @JennAsimit]

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

[Jennifer Asimit @JennAsimit]

Fantastic news!
We used multi-trait approaches to identify additional loci associated with lipids traits (MTAG) and refine 99% credible sets (flashfm) in 125,000 individuals of African ancestry

@ab_kamiza, Sounkou Touré, @FZ_Cambridge, @tchikowore1, @SFatumo

@MRC_BSU

[Jennifer Asimit @JennAsimit]

Excited to introduce our new multi-group multi-trait fine-mapping method, MGflashfm

It jointly fine-maps association signals from multiple traits and population groups

@FZ_Cambridge, @OpeSoremekun, @tchikowore1, @SFatumo, @InesBarroso4, Andrew Morris
@MRC_BSU

[MRC Biostatistics Unit @MRC_BSU]

BSU researchers @FZ_Cambridge and @JennAsimit have made video tutorials of how to use their R shiny apps and flashfm-ivis software.

Fine-mapping of multiple quantitative traits.

Watch videos here 👇
https://t.co/swq7w5tYe7

[Jennifer Asimit @JennAsimit]

New all-in-one web tool!!!
Explore and fine-map GWAS signals of traits in UK Biobank with many user-controlled features.

See: https://t.co/CKFb7gcxpc

Preprint at: https://t.co/Fb1P0waIhO

@FZ_Cambridge @aidanbutty
@MRC_BSU @CAMBRIDGE_CEU

[Feng Zhou @FZ_Cambridge]

Three easy steps to use the flashfm-ivis web tool, as mentioned in our recent Bioinformatics paper https://t.co/2ZfCgyzOJM

[MRC Biostatistics Unit @MRC_BSU]

New interactive statistical tool, flashfm-ivis, developed by @JennAsimit, @FZ_Cambridge & colleagues to explore potential causal variants behind diseases.

https://t.co/RMIVBugA2Z

https://t.co/9RFjfQzFUS

[Feng Zhou @FZ_Cambridge]

A graphical abstract will be available in next week. :)

[Jennifer Asimit @JennAsimit]

Excited to share that our interactive visualisation tool for fine-mapping, flashfm-ivis, is out in Bioinformatics
https://t.co/kJyP7SWN87

@FZ_Cambridge @aidanbutty
@MRC_BSU @CAMBRIDGE_CEU

Plot and Play! View potential causal variants that are shared or distinct between traits

[Jennifer Asimit @JennAsimit]

Excited to share that our interactive visualisation tool for fine-mapping, flashfm-ivis, is out in Bioinformatics
https://t.co/kJyP7SWN87

@FZ_Cambridge @aidanbutty
@MRC_BSU @CAMBRIDGE_CEU

Plot and Play! View potential causal variants that are shared or distinct between traits

[Jennifer Asimit @JennAsimit]

New interactive visualisation tool!
Plot and Play with multi- and single-trait fine-mapping results – view potential causal variants that are shared or distinct between traits
@FZ_Cambridge @aidanbutty
@MRC_BSU @CAMBRIDGE_CEU

https://t.co/3x4b1qgBwW
https://t.co/ARSnJHA3Nm
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