A new method to detect outlier methylation regions, presented by Christine Hansen yesterday at #Epigenomics22. Never thought about the concept of defining rare methylation patterns and counting burden of rare methylation outliers, analogous to burden of rare genetic variants. Some potentially interesting preliminary associations with psychiatric outcomes. Looking forward to the full paper and curious to try myself the method.
https://gitlab.com/CSoeholm/outlier-methylation-analysis-oma
Another talk about long reads: Duncan Sproul on Genome-wide analysis of single-molecule DNA methylation
Last day: Ariel Gershman from Johns Hopkins reminding us that hg38 is still far from a "finished" assembly of the human genome, which has implication for epigenetics, too
Elad Segev: Discontinuities aging: finding switch points in DNA methylation
Andrew Teschendorff on "Cell-type deconvolution of solid tissue DNA methylomes at cell-type resolution" - this one is quite close to my heart, as we're working on similar stuff 😉
Martin Hirst - EpiATLAS, a reference for epigenetic research
Useful resource: IHEC - the International Human Epigenome Consortium
Rama Natarajan now talking about Epigenetics and noncoding RNAs in #diabetes
#epigenetics #Epigenomics22 #diabetes
B-cell involvement in MS: EBV latent in MS B-Cells, alterations to the epigenome (predominant hypomethylation) ➡️ Age associated B-cells?
methylation differences distinguish risk groups of MS progression. Searching for genetic predisposition conditional on DNAm revealed HLA differences between progressing and non-progressing groups #Epigenomics22 #epigenetics
First up: Maja Jagodic from Karolinska Institute talking about mechanisms of Multiple Sclerosis development and progression
Not sure how interested anyone in my network is in my live-tooting of talks from the #Epigenomics of Common Disease 2022 conference? Anyway, I'll keep going for now 🙃
#epigenetics #Epigenomics22 #Epigenomics
Sonia Garcia-Calzon - Novel subgroups of type 2 #diabetes reveal different DNA methylation patterns:
adipose tissue methylation changes distinguish subtypes, and some of these are detectable also in blood. Also predict future risk of complications.
#epigenetics #Epigenomics22 #diabetes
Short talks now: Marie de Borre on cfDNA detection of
#preeclempsia using methylation changes. Use CpG sites with placenta-specific methyl. as markers. Early detection before usual diagnosis has high AUC #Epigenomics22 #epigenetics
#epigenetics #Epigenomics22 #preeclempsia
"spatial multi-omic heart atlas": link spatial transcriptomics with single-cell RNA and epigenetics. Also sampling over multiple timepoints including accute myocardial infarction.
"spatial multi-omic heart atlas": link spatial transcriptomics with single-cell RNA and epigenetics. Also sampling over multiple timepoints including accute myocardial infarction.
Next: Christoph Kuppe from Aachen talking about Spatial and single cell multi-omic analysis of human heart disease
Regulation of ZBTB16 prob directly regulated by gccs through altering methylation levels around gcc response element in the enhancer. #Epigenomics22 #epigenetics
in-vitro stimulation of brain organoids with glucocorticoids shows upregulation of ZBTB16. KO of that gene blocks some effects of gccs #Epigenomics22 #epigenetics
Glucocorticoid response elements GREs show demethylation upon increased transcriptional response. Priming during pregnancy? #Epigenomics22 #epigenetics
Glucocorticoids given during pregnancy or as a result of stress can impact epigenetic marks in offspring - epigenetic "memory"?