Genome-wide analysis of blood lipid metabolites in over 5000 South Asians reveals biological insights at cardiometabolic disease loci.
Gaussian Graphical Modelling
Genetics
Lipidomics
Network analysis
South Asian
Journal
BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723
Informations de publication
Date de publication:
10 09 2021
10 09 2021
Historique:
received:
25
09
2020
accepted:
04
08
2021
entrez:
10
9
2021
pubmed:
11
9
2021
medline:
16
10
2021
Statut:
epublish
Résumé
Genetic, lifestyle, and environmental factors can lead to perturbations in circulating lipid levels and increase the risk of cardiovascular and metabolic diseases. However, how changes in individual lipid species contribute to disease risk is often unclear. Moreover, little is known about the role of lipids on cardiovascular disease in Pakistan, a population historically underrepresented in cardiovascular studies. We characterised the genetic architecture of the human blood lipidome in 5662 hospital controls from the Pakistan Risk of Myocardial Infarction Study (PROMIS) and 13,814 healthy British blood donors from the INTERVAL study. We applied a candidate causal gene prioritisation tool to link the genetic variants associated with each lipid to the most likely causal genes, and Gaussian Graphical Modelling network analysis to identify and illustrate relationships between lipids and genetic loci. We identified 253 genetic associations with 181 lipids measured using direct infusion high-resolution mass spectrometry in PROMIS, and 502 genetic associations with 244 lipids in INTERVAL. Our analyses revealed new biological insights at genetic loci associated with cardiometabolic diseases, including novel lipid associations at the LPL, MBOAT7, LIPC, APOE-C1-C2-C4, SGPP1, and SPTLC3 loci. Our findings, generated using a distinctive lipidomics platform in an understudied South Asian population, strengthen and expand the knowledge base of the genetic determinants of lipids and their association with cardiometabolic disease-related loci.
Sections du résumé
BACKGROUND
Genetic, lifestyle, and environmental factors can lead to perturbations in circulating lipid levels and increase the risk of cardiovascular and metabolic diseases. However, how changes in individual lipid species contribute to disease risk is often unclear. Moreover, little is known about the role of lipids on cardiovascular disease in Pakistan, a population historically underrepresented in cardiovascular studies.
METHODS
We characterised the genetic architecture of the human blood lipidome in 5662 hospital controls from the Pakistan Risk of Myocardial Infarction Study (PROMIS) and 13,814 healthy British blood donors from the INTERVAL study. We applied a candidate causal gene prioritisation tool to link the genetic variants associated with each lipid to the most likely causal genes, and Gaussian Graphical Modelling network analysis to identify and illustrate relationships between lipids and genetic loci.
RESULTS
We identified 253 genetic associations with 181 lipids measured using direct infusion high-resolution mass spectrometry in PROMIS, and 502 genetic associations with 244 lipids in INTERVAL. Our analyses revealed new biological insights at genetic loci associated with cardiometabolic diseases, including novel lipid associations at the LPL, MBOAT7, LIPC, APOE-C1-C2-C4, SGPP1, and SPTLC3 loci.
CONCLUSIONS
Our findings, generated using a distinctive lipidomics platform in an understudied South Asian population, strengthen and expand the knowledge base of the genetic determinants of lipids and their association with cardiometabolic disease-related loci.
Identifiants
pubmed: 34503513
doi: 10.1186/s12916-021-02087-1
pii: 10.1186/s12916-021-02087-1
pmc: PMC8431908
doi:
Substances chimiques
Lipids
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
232Subventions
Organisme : Medical Research Council
ID : MC_PC_13030
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L003120/1
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/13/13/30194
Pays : United Kingdom
Organisme : British Heart Foundation (GB)
ID : SP/09/002
Organisme : Medical Research Council
ID : G0800783
Pays : United Kingdom
Organisme : British Heart Foundation
ID : SP/09/002
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UP_A090_1006
Pays : United Kingdom
Organisme : Medical Research Council (GB)
ID : MR/L003120/1
Organisme : British Heart Foundation (GB)
ID : RG/13/13/30194
Organisme : Wellcome Trust
ID : 105602/Z/14/Z
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0800270
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/18/13/33946
Pays : United Kingdom
Informations de copyright
© 2021. The Author(s).
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