About the speaker
Haakon E. Nustad is a PhD student at Oslo University Hospital in the Department of Medical Genetics. He works with DNA methylation analysis and statistics, and is especially interested in correlation structures in DNA methylation data.
"Using neighboring correlation to identify differentially methylated regions"
It is well known that DNA methylation at sites close to each other tend to have similar methylation status. This gives rise to correlated DNA methylation measurements on an aggregated level, which can be approximated by calculating the neighboring correlation (auto-correlation lag 1). Here, we present a method for identifying differentially methylated regions between two groups of samples by comparing the neighboring correlation of the mean differences between the groups. By investigating how the correlation estimate change for increasing sample size, we are able to identify if there are differences between the groups within the region.