Would you rather measure proteins directly or use DNAm-based surrogates?

Danni Gadd explores this for GDF15 and NT-proBNP and multiple incident disease outcomes in 17,000 Generation Scotland volunteers with external testing in The Lothian Birth Cohorts

Pre-print link: medrxiv.org/content/10.110…

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

medrxiv.org/content/10.110…

Case-control GWAS on 11m variants in 335k people in <4 mins using ONLY summary-level data! Check out our isGWAS bioRxiv at biorxiv.org/content/10.110… - large multi GWAS now accessible to all! Made possible with MarioniGroup Heiko Runz Zhana & Chris Foley!

New paper:

Endogenous epitope tagging of eEF1A2 in mice reveals early embryonic expression of eEF1A2 and subcellular compartmentalisation of neuronal eEF1A1 and eEF1A2 Centre for Genomic and Experimental Medicine Institute of Genetics and Cancer Cathy Abbott Danni Gadd Grant F. Marshall

doi.org/10.1016/j.mcn.…

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

Robert Hillary, Danni Gadd, and colleagues!

Amazing paper!

journals.plos.org/plosmedicine/a…

Exchange between Institute of Genetics and Cancer and Institute for Molecular Bioscience allowed collaborative genomics research by PhD students Danni Gadd (@MarioniGroup) and Alesha Hatton (McRae Research Group), including utilising the Generation Scotland dataset.

ed.ac.uk/centre-genomic…

Important insights for genetically-informed drug target discovery🧬

Spoiler: odds ratios are *NOT* a good guidance

Refining the impact of genetic evidence on clinical success medrxiv.org/content/10.110…

🚨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 Thomas Duffield Institute of Life Course and Medical Sciences + Inflammation and Ageing University of Oxford

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biorxiv.org/content/10.110…

Really proud of the latest work from Faith, Grant F. Marshall and Danni Gadd. 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
biorxiv.org/content/10.110…

Really important paper.. a sensitive and specific biomarker for alpha-synuclein pathology is here thelancet.com/journals/laneu…

Delighted to share Yipeng's paper looking at DNAm EpiScores for Type 2 diabetes in Generation Scotland and #KORA cohorts. Published today in Nature Aging.

ed.ac.uk/news/2023/new-…

rdcu.be/c9kEO

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

Great to join Hannah on the Hannah Went 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. Generation Scotland Institute of Genetics and Cancer

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

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.

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 Genome Biology.

💡 moments today. Thanks Danni from MarioniGroup for sharing how they use Generation Scotland 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 genscot.igc.ed.ac.uk

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!

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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 biorxiv.org/content/10.110… and 🧵below

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A Review in Nature Reviews Genetics discusses emerging research on the interplay of environmental pollutants with the human genome and epigenome. go.nature.com/3wQfc8S