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A large-scale genome-lipid association map guides lipid identification.

Authors :
Linke V
Overmyer KA
Miller IJ
Brademan DR
Hutchins PD
Trujillo EA
Reddy TR
Russell JD
Cushing EM
Schueler KL
Stapleton DS
Rabaglia ME
Keller MP
Gatti DM
Keele GR
Pham D
Broman KW
Churchill GA
Attie AD
Coon JJ
Source :
Nature metabolism [Nat Metab] 2020 Oct; Vol. 2 (10), pp. 1149-1162. Date of Electronic Publication: 2020 Sep 21.
Publication Year :
2020

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.

Details

Language :
English
ISSN :
2522-5812
Volume :
2
Issue :
10
Database :
MEDLINE
Journal :
Nature metabolism
Publication Type :
Academic Journal
Accession number :
32958938
Full Text :
https://doi.org/10.1038/s42255-020-00278-3