Danni Gadd

Scientist and Data Analyst. Former @wellcometrust PhD student @MarioniGroup

[Benjamin Sun @ben_b_sun]

Multiplex blood #proteomics using classic #MachineLearning can predict disease incidences across systems. In case you missed our previous @medrxivpreprint.

https://t.co/VbSrIEEFEc

[Benjamin Sun @ben_b_sun]

Case-control GWAS on 11m variants in 335k people in <4 mins using ONLY summary-level data! Check out our isGWAS @biorxivpreprint at https://t.co/CpvKCb8Mk4 - large multi GWAS now accessible to all! Made possible with @MarioniGroup @heikorunz @ZhanaKuncheva & Chris Foley!

[One Health Genomics Edinburgh @GenomicsEdi]

New paper:

Endogenous epitope tagging of eEF1A2 in mice reveals early embryonic expression of eEF1A2 and subcellular compartmentalisation of neuronal eEF1A1 and eEF1A2 @UoE_CGEM @EdinUni_IGC @CathyAbbottLab @dannigadd @GrantFMarshall

https://t.co/TCUDvk8Q5l

[Hannah Went @EverythingEpi]

Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals

@RobertHillary, @dannigadd, and colleagues!

Amazing paper!

https://t.co/TC2Dg8NdAQ

[Centre for Genomic and Experimental Medicine @UoE_CGEM]

Exchange between @EdinUni_IGC and @IMBatUQ allowed collaborative genomics research by PhD students @dannigadd (@MarioniGroup) and Alesha Hatton (McRae Research Group), including utilising the @genscot dataset.

https://t.co/SfaOF1tca6

[João Pedro de Magalhães @jpsenescence]

🚨New paper on epigenetic fidelity and ageing

We develop a conceptual model to explain aging based on first principles and conclude that epigenetic aging is inevitable.

Exciting work by @_ThomasDuffield @LivuniILCaMS + @InflamAge_UoB @UniofOxford

1/4

https://t.co/4jcq9rVgRj

[Cathy Abbott @CathyAbbottLab]

Really proud of the latest work from Faith, @GrantFMarshall and @dannigadd. We used CRISPR to introduce a V5 tag into eEF1A2 to be able to compare expression patterns of eEF1A1 and eEF1A2 in neurons 1/4
https://t.co/Q5Ty731t3S

[William Scotton @drwillscotton]

Really important paper.. a sensitive and specific biomarker for alpha-synuclein pathology is here https://t.co/5mY1xRVRUK

[Ella Davyson @elladavyson]

Happy to share my 1st paper, in @BiologicalPsyc1! We investigated the links between 249 circulating metabolites & Major Depressive Disorder (MDD) in @uk_biobank. A thread 🧵 of our main findings:👇

[Danni Gadd @dannigadd]

Great to join Hannah on the @EverythingEpi podcast. We discuss what DNA methylation is, the importance of the circulating proteome and how these measures were integrated in my PhD to create new markers for disease prediction. @genscot @EdinUni_IGC

[Hannah Went @EverythingEpi]

Episode 3

Spotify - https://t.co/X6ruAcPINq
YouTube - https://t.co/lhpSiSUKcb

@dannigadd and I and I chat about the circulating proteome, how machine learning can be used to create epigenetic scores, and how information from the blood can be used to stratify risk of disease.

[Yann @LeGuenYann]

Arrived in Boston for AAIC Immunity to present our multi-ancestry analysis of the HLA locus in Alzheimer’s and Parkinson’s diseases and the shared adaptive immune response likely mediated by HLA-DRB1*04 subtypes

[McRae Lab @mcraelab]

New preprint from the lab. We adapt genetic correlation methodology to DNA methylation (or any 'omics data) and examine correlations between adiposity related traits. New insights to sex-specific DNA methylation associations and the epigenetic relationship between traits.

[Danni Gadd @dannigadd]

It has been fantastic to collaborate on this. For a detailed comparison of methylation vs polygenic risk scoring approaches and applications, check out our latest review @GenomeBiology.

[Marta Nabais 🇵🇹 🇬🇧🇪🇺 @RandomWalkin]

An overview of DNA methylation-derived trait score methods and applications: new paper out @GenomeBiology

Thanks @WrayNaomi @dannigadd @PsyEpigenetics @eilis_hannon @mcraelab

I really like this one

https://t.co/n8uMvwklZX

[Sarah Robertson @YLSSarahRobbo]

💡 moments today. Thanks Danni from @MarioniGroup for sharing how they use @genscot data from Volunteers to predict the onset of diseases & how DNA methylation can be reversed through lifestyle changes.

💕 One more reason to become a volunteer https://t.co/haHM7cbqRY

[Verena Zuber @VerenaZuber]

The Lancet Commission to define risk factors for dementia is a key milestone in mapping evidence for 12 modifiable risk factors using reviews and meta-analyses. Yet, it is largely based on observational studies. What does genetic evidence tell us?

Follow this 🧵to find out!

1/

[Verena Zuber @VerenaZuber]

We introduce a novel Multi-Response Mendelian randomization (MR2) model for the analysis of multiple related outcomes:
→ To account for information shared between outcomes and
→ To define shared or distinct causes of disease.
Preprint on https://t.co/2bxOGTy3Be and 🧵below

1/

[Nature Portfolio @NaturePortfolio]

A Review in @NatureRevGenet discusses emerging research on the interplay of environmental pollutants with the human genome and epigenome. https://t.co/ko7FEEXRlq

[Tim Spector MD (Prof) @timspector]

Ultra processed foods assoc w increased risk of most cancers after 10 years finds a large longitudinal observational study of 200k UK biobank subjects. The data keeps mounting but we remain complacent... despite UK having highest rates of UPF in Europe https://t.co/xnTVr6uC6J

[Danni Gadd @dannigadd]

Anyone living in Scotland can sign up and be part of @genscot - a project that will advance our understanding of disease prevention. Just a saliva sample through the post and a short questionnaire!