Next generation high throughput lipidomics using adaptive modelling

本项目旨在开发一种独特的高通量方法，以获取适合于大规模人群筛查的人血浆脂肪组谱。脂类是每个生物系统的基础，但我们对其在人类体内的调节作用的了解很大程度上是肤浅的。通过将新的脂类组学方法与基因组数据相结合，该项目旨在通过确定脂类代谢的调节因素来扩大我们对人类生物学的理解。人类的巨大多样性需要足够的样本量来确定真正的遗传调节因子，但到目前为止，捕获表型数据(脂类)的技术在很大程度上是有限的。预计这项研究将确定人类脂代谢的新调节剂。

This project aims to develop a unique high-throughput method to capture the lipidomic profile of human plasma suitable for large human population screening. Lipids are fundamental to every biological system, but our understanding of their regulation in humans have been largely superficial. By incorporating a new lipidomics approach, with genomic data, this project aims to expand our understanding of human biology by identifying regulators of lipid metabolism. The large diversity in humans necessitate sufficient sample sizes to identify true genetic regulators, but to date techniques capturing phenotypic data (lipids) have been largely limited. It is anticipated that this study will identify new regulators of lipid metabolism in humans.