Statistics and Mathematics colloquium: Mining Lipidomics for Biological Insight
Event status:
You are welcome to attend the following joint Statistics and Mathematics colloquium (part of the Colloquium Series of the Department of Mathematical and Physical Sciences) at La Trobe University organised together with the PVSeminar
- Date:
- Thursday 01 June 2023 12:00 pm until Thursday 01 June 2023 01:00 pm (Add to calendar)
- Contact:
- Andriy Olenko
a.olenko@latrobe.edu.au - Presented by:
- Nicholas Sing
- Type of Event:
- Public
- Cost:
- Free
Lipidomics is the study of all lipids that make up cells and organisms. Abnormal lipid metabolism is associated with many cardiovascular risk factors.
Past lipidomic studies have lacked appropriate cohort sizes to explore bioinformatics methodologies used for dealing with large cohorts.
The Baker Heart and Diabetes Institute has uniquely generated lipidomic datasets for large population cohort studies.
During lipidomic analysis unwanted variation can arise due to variation in laboratory processing and handling, which unwanted variation removal algorithms aim to minimise.
To identify technical sources of unwanted variation in the plasma lipidome during laboratory processing we performed a laboratory experiment and utilised the Removing Unwanted Variation-III (RUV-III) algorithm to remove these sources of unwanted variation from (1) the lipidomic dataset we acquired and (2) these same sources of unwanted variation in a large population cohort study generated via the Baker Heart and Diabetes Institute’s Lipidomic’s platform.
We then focus on modelling the metabolic associations between groups of lipid species and cardiovascular disease.
We specifically, used lipid set enrichment analysis and eigenlipids to explore lipid biology associated with cardiovascular disease using the lipidomic datasets generated for two large population cohorts via the Baker Heart and Diabetes Institute’s Lipidomics platform.
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