Comprehensive genetic analysis of the human lipidome identifies loci associated with lipid homeostasis with links to coronary artery disease
Dysregulation of lipid metabolism is associated with coronary artery disease (CAD). Here, the authors perform GWAS of the serum lipidome to identify variants associated with lipid species that are putatively in the mechanistic pathway to CAD.
Main Authors: | Gemma Cadby, Corey Giles, Phillip E. Melton, Kevin Huynh, Natalie A. Mellett, Thy Duong, Anh Nguyen, Michelle Cinel, Alex Smith, Gavriel Olshansky, Tingting Wang, Marta Brozynska, Mike Inouye, Nina S. McCarthy, Amir Ariff, Joseph Hung, Jennie Hui, John Beilby, Marie-Pierre Dubé, Gerald F. Watts, Sonia Shah, Naomi R. Wray, Wei Ling Florence Lim, Pratishtha Chatterjee, Ian Martins, Simon M. Laws, Tenielle Porter, Michael Vacher, Ashley I. Bush, Christopher C. Rowe, Victor L. Villemagne, David Ames, Colin L. Masters, Kevin Taddei, Matthias Arnold, Gabi Kastenmüller, Kwangsik Nho, Andrew J. Saykin, Xianlin Han, Rima Kaddurah-Daouk, Ralph N. Martins, John Blangero, Peter J. Meikle, Eric K. Moses |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-06-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-30875-7 |
Similar Items
-
Concordant peripheral lipidome signatures in two large clinical studies of Alzheimer’s disease
by: Kevin Huynh, et al.
Published: (2020-11-01) -
Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts
by: Habtamu B. Beyene, et al.
Published: (2023-10-01) -
High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies.
by: Habtamu B Beyene, et al.
Published: (2020-09-01) -
Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
by: Taeho Jo, et al.
Published: (2019-08-01) -
Lipidomic Signatures of Changes in Adiposity: A Large Prospective Study of 5849 Adults from the Australian Diabetes, Obesity and Lifestyle Study
by: Habtamu B. Beyene, et al.
Published: (2021-09-01)