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University of Cambridge > Talks.cam > Computational and Systems Biology Seminar Series 2023 - 24 > Buffering genetic variation in populations
Buffering genetic variation in populationsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Samantha Noel. Our intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator. Natural populations harbour enormous genetic variation – differences in the coding and non-coding part that give rise to differential susceptibility to infections/ diseases and responsiveness to treatment. Think of side effects that we get due to covid vaccines – some people have strong effects, some have no effects after vaccination. It is likely that genetic differences among individuals of the population underlies this variation in response to vaccines. Cells have evolved multiple mechanisms by which the effects of genetic variation are minimised, or ‘buffered’. Our work focusses on genetic variation in the non-coding parts of the genome and a cellular strategy dependent on a molecular chaperone. The talk will specifically focus on variation in repetitive parts of the genome and single-nucleotide polymorphism, combining computational tools for data analysis with hypothesis testing using biochemical approaches. This talk is part of the Computational and Systems Biology Seminar Series 2023 - 24 series. This talk is included in these lists:
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