A large-scale genome-lipid association map guides lipid identification.
Document Type
Article
Publication Date
10-2020
Keywords
JMG
JAX Source
Nat Metab 2020 Oct; 2(10):1149-1162
Volume
2
Issue
10
First Page
1149
Last Page
1162
ISSN
2522-5812
PMID
32958938
DOI
https://doi.org/10.1038/s42255-020-00278-3
Abstract
Despite the crucial roles of lipids in metabolism, we are still at the early stages of comprehensively annotating lipid species and their genetic basis. Mass spectrometry-based discovery lipidomics offers the potential to globally survey lipids and their relative abundances in various biological samples. To discover the genetics of lipid features obtained through high-resolution liquid chromatography-tandem mass spectrometry, we analysed liver and plasma from 384 diversity outbred mice, and quantified 3,283 molecular features. These features were mapped to 5,622 lipid quantitative trait loci and compiled into a public web resource termed LipidGenie. The data are cross-referenced to the human genome and offer a bridge between genetic associations in humans and mice. Harnessing this resource, we used genome-lipid association data as an additional aid to identify a number of lipids, for example gangliosides through their association with B4galnt1, and found evidence for a group of sex-specific phosphatidylcholines through their shared locus. Finally, LipidGenie's ability to query either mass or gene-centric terms suggests acyl-chain-specific functions for proteins of the ABHD family.
Recommended Citation
Linke V,
Overmyer K,
Miller I,
Brademan D,
Hutchins P,
Trujillo E,
Reddy T,
Russell J,
Cushing E,
Schueler K,
Stapleton D,
Rabaglia M,
Keller M,
Gatti D,
Keele G,
Pham D,
Broman K,
Churchill G,
Attie A,
Coon J.
A large-scale genome-lipid association map guides lipid identification. Nat Metab 2020 Oct; 2(10):1149-1162