Literature DB >> 29610217

Sequence-Based Analysis of Lipid-Related Metabolites in a Multiethnic Study.

Elena V Feofanova1, Bing Yu1, Ginger A Metcalf2, Xiaoming Liu1, Donna Muzny2, Jennifer E Below1, Lynne E Wagenknecht3, Richard A Gibbs2, Alanna C Morrison1, Eric Boerwinkle4,2.   

Abstract

Small molecule lipid-related metabolites are important components of fatty acid and steroid metabolism-two important contributors to human health. This study investigated the extent to which rare and common genetic variants spanning the human genome influence the lipid-related metabolome. Sequence data from 1552 European-Americans (EA) and 1872 African-Americans (AA) were analyzed to examine the impact of common and rare variants on the levels of 102 circulating lipid-related metabolites measured by a combination of chromatography and mass spectroscopy. We conducted single variant tests [minor allele frequency (MAF) > 5%, statistical significance P-value ≤ 2.45 × 10-10] and tests aggregating rare variants (MAF ≤ 5%) across multiple genomic motifs, such as coding regions and regulatory domains, and sliding windows. Multiethnic meta-analyses detected 53 lipid-related metabolites-locus pairs, which were inspected for evidence of consistent signal between the two ethnic groups. Thirty-eight lipid-related metabolite-genomic region associations were consistent across ethnicities, among which seven were novel. The regions contain genes that are related to metabolite transport (SLC10A1) and metabolism (SCD, FDX1, UGT2B15, and FADS2). Six of the seven novel findings lie in expression quantitative trait loci affecting the expression levels of 14 surrounding genes in multiple tissues. Imputed expression levels of 10 of the affected genes were associated with four corresponding lipid-related traits in at least one tissue. Our findings offer valuable insight into circulating lipid-related metabolite regulation in a multiethnic population.
Copyright © 2018 by the Genetics Society of America.

Entities:  

Keywords:  lipids; metabolome; rare variants; whole genome sequencing

Mesh:

Year:  2018        PMID: 29610217      PMCID: PMC5972430          DOI: 10.1534/genetics.118.300751

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


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