Tools
Tools
Zheng, Jie, Haberland, Valeriia 
ORCID: https://orcid.org/0000-0002-3874-0683, Baird, Denis, Walker, Venexia, Haycock, Philip C., Hurle, Mark R., Gutteridge, Alex, Erola, Pau, Liu, Yi, Luo, Shan, Robinson, Jamie, Richardson, Tom G., Staley, James R., Elsworth, Benjamin, Burgess, Stephen, Sun, Benjamin B., Danesh, John, Runz, Heiko, Maranville, Joseph C., Martin, Hannah M., Yarmolinsky, James, Laurin, Charles, Holmes, Michael V., Liu, Jimmy Z., Estrada, Karol, Santos, Rita, McCarthy, Linda, Waterworth, Dawn, Nelson, Matthew R., Smith, George Davey, Butterworth, Adam S., Hemani, Gibran, Scott, Robert A. and Gaunt, Tom R.
(2020)
Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases.
Nature Genetics, 52 (10).
1122–1131.
ISSN 1061-4036
Preview |
PDF (Zheng_et_al_accepted_manuscript)
- Accepted Version
Available under License Other licence. Download (301kB) | Preview |
Abstract
The human proteome is a major source of therapeutic targets. Recent genetic association analyses of the plasma proteome enable systematic evaluation of the causal consequences of variation in plasma protein levels. Here we estimated the effects of 1,002 proteins on 225 phenotypes using two-sample Mendelian randomization (MR) and colocalization. Of 413 associations supported by evidence from MR, 130 (31.5%) were not supported by results of colocalization analyses, suggesting that genetic confounding due to linkage disequilibrium is widespread in naïve phenome-wide association studies of proteins. Combining MR and colocalization evidence in cis-only analyses, we identified 111 putatively causal effects between 65 proteins and 52 disease-related phenotypes (https://www.epigraphdb.org/pqtl/). Evaluation of data from historic drug development programs showed that target-indication pairs with MR and colocalization support were more likely to be approved, evidencing the value of this approach in identifying and prioritizing potential therapeutic targets.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 10 Aug 2020 23:51 |
| Last Modified: | 25 Oct 2022 00:09 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/76368 |
| DOI: | 10.1038/s41588-020-0682-6 |
Downloads
Downloads per month over past year
Actions (login required)
 |
View Item |