Genome-wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease.
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Authors
Chen, George
Song, Ci
Keefe, Joshua
Mendelson, Michael
Huan, Tianxiao
Laser, Annika
Maranville, Joseph C
Wu, Hongsheng
Ho, Jennifer E
Courchesne, Paul
Lyass, Asya
Larson, Martin G
Gieger, Christian
Johnson, Andrew D
Danesh, John
Runz, Heiko
Hwang, Shih-Jen
Liu, Chunyu
Levy, Daniel
Publication Date
2018-08-15Journal Title
Nat Commun
ISSN
2041-1723
Publisher
Springer Science and Business Media LLC
Volume
9
Issue
1
Pages
3268
Language
eng
Type
Article
Physical Medium
Electronic
Metadata
Show full item recordCitation
Yao, C., Chen, G., Song, C., Keefe, J., Mendelson, M., Huan, T., Sun, B. B., et al. (2018). Genome-wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease.. Nat Commun, 9 (1), 3268. https://doi.org/10.1038/s41467-018-05512-x
Abstract
Identifying genetic variants associated with circulating protein concentrations (protein quantitative trait loci; pQTLs) and integrating them with variants from genome-wide association studies (GWAS) may illuminate the proteome's causal role in disease and bridge a knowledge gap regarding SNP-disease associations. We provide the results of GWAS of 71 high-value cardiovascular disease proteins in 6861 Framingham Heart Study participants and independent external replication. We report the mapping of over 16,000 pQTL variants and their functional relevance. We provide an integrated plasma protein-QTL database. Thirteen proteins harbor pQTL variants that match coronary disease-risk variants from GWAS or test causal for coronary disease by Mendelian randomization. Eight of these proteins predict new-onset cardiovascular disease events in Framingham participants. We demonstrate that identifying pQTLs, integrating them with GWAS results, employing Mendelian randomization, and prospectively testing protein-trait associations holds potential for elucidating causal genes, proteins, and pathways for cardiovascular disease and may identify targets for its prevention and treatment.
Keywords
Adult, Blood Proteins, Cardiovascular Diseases, Chromosome Mapping, Female, Gene Expression Profiling, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Signal Transduction
Sponsorship
Medical Research Council (MR/L003120/1)
European Research Council (268834)
Medical Research Council (G0800270)
British Heart Foundation (None)
Identifiers
External DOI: https://doi.org/10.1038/s41467-018-05512-x
This record's URL: https://www.repository.cam.ac.uk/handle/1810/284992
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