Here, we estimated the effects of 1002 proteins on 225 phenotypes using two-sample Mendelian randomization (MR) and colocalization. Of 413 associations supported by evidence from … 01-173-940-160 2013 2020. Bristol Population Health Science Institute. Follow. Email Jie.Zheng@bristol.ac.uk; BS8 2BN. Lead author, Dr Zheng, said their estimated effects of proteins on human diseases could be used to predict the effects of drugs targeting these proteins. (Contributor), Duggirala, A. 8064 BBSRC - Identification of molecular mechanisms mediating the relationship of diabetes with chronic kidney disease, MR-Base: a database and analytical platform for Mendelian randomization, Application of Mendelian randomization to predict therapeutic effect, Education, intelligence and Alzheimer’s disease: evidence from a multivariable two-sample Mendelian randomization study, Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework, Introducing M-GCTA a Software Package to Estimate Maternal (or Paternal) Genetic Effects on Offspring Phenotypes, http://data.bris.ac.uk/data/dataset/r9bxayo5mmk510dczq6golkmb, Fine Mapping of Genetic Variants Influencing Complex Traits in Human. These companies typically use a cookie or third party web beacon to collect this information. We have demonstrated that this re-use of existing data offers an efficient approach to reducing drug development costs with anticipated benefits for health and society.". Vice-Chancellor's Fellow, University of Bristol. The next step is for the analytical protocol to be used in early drug target validation pipeline by the study's pharmaceutical collaborators. Recent external collaboration on country level. Dr Jie Zheng, Professor Tom Gaunt and colleagues from the University of Bristol, worked with pharmaceutical companies to set up a multi-disciplinary collaboration to address this scientific question. By continuing you agree to the use of cookies, University of Bristol data protection policy. Mask Significantly Reduce Spread Of COVID-19 - Are Laws Needed? An innovative genetic study of blood protein levels, led by researchers in the MRC Integrative Epidemiology Unit (MRC-IEU) at the University of Bristol, has demonstrated how genetic data can be used to support drug target prioritisation by identifying the causal effects of proteins on diseases. If you made any changes in Pure these will be visible here soon. The results of this study are accessible via EpiGraphDB: http://www.epigraphdb.org/pqtl/. Jie has 1 job listed on their profile. Dr Jie Zheng, Professor Tom Gaunt and colleagues from the University of Bristol, worked with pharmaceutical companies to set up a multi-disciplinary collaboration to address this scientific question. To learn more about this behavioral advertising practice or to opt-out of this type of advertising, please visit networkadvertising.org. is a service of the American Association for the Advancement of Science. The results of this study are accessible via EpiGraphDB: http://www.epigraphdb.org/pqtl/. "This analysis pipeline could be used to validate both efficacy and potential adverse effects of novel drug targets, as well as provide evidence to repurpose existing drugs to other indications. See the complete profile on LinkedIn and discover Jie’s … IMAGE: Comparing the genetic inferred causal relationships of proteins on human diseases with historic drug development programs, this study, for the first time, showed that protein-disease pairs with genetic predicted causal... An innovative genetic study of blood protein levels, led by researchers in the MRC Integrative Epidemiology Unit (MRC-IEU) at the University of Bristol, has demonstrated how genetic data can be used to support drug target prioritisation by identifying the causal effects of proteins on diseases. Using a set of genetic epidemiology approaches, including Mendelian randomization and genetic colocalization, the researchers built a causal network of 1002 plasma proteins on 225 human diseases. EurekAlert! Working in collaboration with pharmaceutical companies, Bristol researchers have developed a comprehensive analysis pipeline using genetic prediction of protein levels to prioritise drug targets, and have quantified the potential of this approach for reducing the failure rate of drug development.

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