Genome-wide analysis of blood lipid metabolites in over 5000 South Asians reveals biological insights at cardiometabolic disease loci.
View / Open Files
Authors
Harshfield, Eric L
Fauman, Eric B
Stacey, David
Ziemek, Daniel
Ong, Rachel M Y
Danesh, John
Butterworth, Adam S
Rasheed, Asif
Sattar, Taniya
Zameer-Ul-Asar
Saleem, Imran
Hina, Zoubia
Ishtiaq, Unzila
Qamar, Nadeem
Mallick, Nadeem Hayat
Yaqub, Zia
Saghir, Tahir
Rizvi, Syed Nadeem Hasan
Memon, Anis
Ishaq, Mohammad
Rasheed, Syed Zahed
Memon, Fazal-Ur-Rehman
Jalal, Anjum
Abbas, Shahid
Frossard, Philippe
Saleheen, Danish
Wood, Angela M
Griffin, Julian L
Koulman, Albert
Publication Date
2021-09-10Journal Title
BMC medicine
ISSN
1741-7015
Volume
19
Issue
1
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Harshfield, E. L., Fauman, E. B., Stacey, D., Paul, D. S., Ziemek, D., Ong, R. M. Y., Danesh, J., et al. (2021). Genome-wide analysis of blood lipid metabolites in over 5000 South Asians reveals biological insights at cardiometabolic disease loci.. BMC medicine, 19 (1) https://doi.org/10.1186/s12916-021-02087-1
Description
Funder: Pfizer
Funder: Novartis
Funder: National Institute for Health Research
Funder: Merck
Abstract
<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.
Keywords
Genetics, Lipidomics, Network Analysis, South Asian, Gaussian Graphical Modelling
Sponsorship
Wellcome Trust (105602/Z/14/Z)
British Heart Foundation (SP/09/002, RG/18/13/33946, RG/13/13/30194)
Medical Research Council (MC_PC_13030, MC_UP_A090_1006, G0800270, G0800783, MR/L003120/1)
Sixth Framework Programme (Bloodomics Integrated Project)
Identifiers
PMC8431908, 34503513
External DOI: https://doi.org/10.1186/s12916-021-02087-1
This record's URL: https://www.repository.cam.ac.uk/handle/1810/329330
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.