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SUMMARY:Modelling microbiome-mediated epigenetic inheritance of disease ri
 sk - Bobby Ranjan
DTSTART:20250317T170000Z
DTEND:20250317T174500Z
UID:TALK229144@talks.cam.ac.uk
CONTACT:Chaitanya's Talks List
DESCRIPTION:My overarching research question deals with the epigenetic inh
 eritance of disease risk. Numerous multi-generational studies across speci
 es have shown that DNA sequence variation only explains a part of the heri
 tability of disease risk. Molecular traits like DNA methylation\, histone 
 modifications and small non-coding RNAs have been shown to propagate pheno
 types of obesity and metabolic disease to the next generation. However\, e
 pigenetically inherited phenotypes tend to manifest in a noisy\, probabili
 stic\, partially-penetrant manner with low effect sizes\, making them chal
 lenging to model using standard analytical approaches that make assumption
 s of linearity. Deep learning approaches are better suited to model the pr
 esentation of epigenetic inheritance\, but the methods developed in this d
 omain suffer from a lack of context-specificity and interpretability.\n\nI
 n this talk\, I will discuss my work during my PhD on microbiome-mediated 
 epigenetic inheritance of disease risk in mice\, specifically on our attem
 pts to model its presentation in embryonic development and offspring physi
 ology\, with an eye towards future perspectives.\n\n\nThis talk can also b
 e followed online using the following link: https://meet.google.com/osj-hy
 jc-yyr
LOCATION:Lecture Theatre 1\, Computer Laboratory\, William Gates Building
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