Gene networks and pathways for plasma lipid traits via multitissue multiomics systems analysis

Autor: Zara Saleem, In Sook Ahn, Yuqi Zhao, Helen Luk, Montgomery Blencowe, Ingrid Cely, Ville-Petteri Mäkinen, Xia Yang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
0301 basic medicine
FDR
false discovery rate

LD
linkage disequilibrium

GLGC
Global Lipids Genetics Consortium

Genome-wide association study
pathway and network analysis
T2D
type 2 diabetes

QD415-436
030204 cardiovascular system & hematology
APOF
CVD
cardiovascular disease

HAEC
human aortic endothelial cell

MAF
minor allele frequency

Biochemistry
eQTL
expression quantitative trait locus

KEGG
Kyoto Encyclopedia of Genes and Genomes

MSEA
Marker Set Enrichment Analysis

KDA
key driver analysis

03 medical and health sciences
chemistry.chemical_compound
integrative genomics
eSNP
expression SNP

0302 clinical medicine
Endocrinology
Adipocyte
coagulation factor II
lipid metabolism
GWAS
KEGG
GWAS
genome-wide association study

Gene knockdown
biology
TG
triglyceride

Lipid metabolism
Cell Biology
Cell biology
TC
total cholesterol

iGSEA
improved gene-set-enrichment analysis

030104 developmental biology
UC
unesterified cholesterol

chemistry
ABCA1
Expression quantitative trait loci
biology.protein
lipids (amino acids
peptides
and proteins)

Research Article
Genome-Wide Association Study
Zdroj: Journal of Lipid Research
Journal of Lipid Research, Vol 62, Iss, Pp 100019-(2021)
ISSN: 1539-7262
0022-2275
Popis: Genome-wide association studies (GWASs) have implicated ∼380 genetic loci for plasma lipid regulation. However, these loci only explain 17–27% of the trait variance, and a comprehensive understanding of the molecular mechanisms has not been achieved. In this study, we utilized an integrative genomics approach leveraging diverse genomic data from human populations to investigate whether genetic variants associated with various plasma lipid traits, namely, total cholesterol, high and low density lipoprotein cholesterol (HDL and LDL), and triglycerides, from GWASs were concentrated on specific parts of tissue-specific gene regulatory networks. In addition to the expected lipid metabolism pathways, gene subnetworks involved in “interferon signaling,” “autoimmune/immune activation,” “visual transduction,” and “protein catabolism” were significantly associated with all lipid traits. In addition, we detected trait-specific subnetworks, including cadherin-associated subnetworks for LDL; glutathione metabolism for HDL; valine, leucine, and isoleucine biosynthesis for total cholesterol; and insulin signaling and complement pathways for triglyceride. Finally, by using gene-gene relations revealed by tissue-specific gene regulatory networks, we detected both known (e.g., APOH, APOA4, and ABCA1) and novel (e.g., F2 in adipose tissue) key regulator genes in these lipid-associated subnetworks. Knockdown of the F2 gene (coagulation factor II, thrombin) in 3T3-L1 and C3H10T1/2 adipocytes altered gene expression of Abcb11, Apoa5, Apof, Fabp1, Lipc, and Cd36; reduced intracellular adipocyte lipid content; and increased extracellular lipid content, supporting a link between adipose thrombin and lipid regulation. Our results shed light on the complex mechanisms underlying lipid metabolism and highlight potential novel targets for lipid regulation and lipid-associated diseases.
Databáze: OpenAIRE