Citations on EpiGraphDB
Below are some of the research studies (ordered chronologically) that cites EpiGraphDB (the Bioinformatics article or the online platform).
- Zhao et al., Proteome-wide association study in global biobank meta-analysis reveals trans-ancestry drug targets for common diseases, BioRxiv, forthcoming
- Deciphering how early life adiposity influences breast cancer risk using Mendelian randomization Marina Vabistsevits, George Davey Smith, Eleanor Sanderson, Tom G Richardson, Bethan Lloyd-Lewis, Rebecca C Richmond medRxiv 2021.06.22.21259310; doi: https://doi.org/10.1101/2021.06.22.21259310
- RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine E. C. Wood, Amy K. Glen, Lindsey G. Kvarfordt, Finn Womack, Liliana Acevedo, Timothy S. Yoon, Chunyu Ma, Veronica Flores, Meghamala Sinha, Yodsawalai Chodpathumwan, Arash Termehchy, Jared C. Roach, Luis Mendoza, Andrew S. Hoffman, Eric W. Deutsch, David Koslicki, Stephen A. Ramsey bioRxiv 2021.10.17.464747; doi: https://doi.org/10.1101/2021.10.17.464747
- Williams JA, Russ D, Bravo-Merodio L, Cardoso VR, Pendleton SC, Aziz F, Acharjee A, Gkoutos GV. A Causal Web between Chronotype and Metabolic Health Traits. Genes. 2021; 12(7):1029. https://doi.org/10.3390/genes12071029
- Multi-omics study revealing tissue-dependent putative mechanisms of SARS-CoV-2 drug targets on viral infections and complex diseases Jie Zheng, Yuemiao Zhang, Yi Liu, Denis Baird, Xingzi Liu, Lin Wang, Hong Zhang, George Davey Smith, Tom R Gaunt medRxiv 2020.05.07.20093286; doi: https://doi.org/10.1101/2020.05.07.20093286
- Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics Liza Darrous, Ninon Mounier, Zoltán Kutalik medRxiv 2020.01.27.20018929; doi: https://doi.org/10.1101/2020.01.27.20018929
- Zheng J, Haberland V, Baird D, Walker V, Haycock PC, Hurle MR, Gutteridge A, Erola P, Liu Y, Luo S, Robinson J, Richardson TG, Staley JR, Elsworth B, Burgess S, Sun BB, Danesh J, Runz H, Maranville JC, Martin HM, Yarmolinsky J, Laurin C, Holmes MV, Liu JZ, Estrada K, Santos R, McCarthy L, Waterworth D, Nelson MR, Smith GD, Butterworth AS, Hemani G, Scott RA, Gaunt TR. Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases. Nat Genet. 2020 Oct;52(10):1122-1131. doi: 10.1038/s41588-020-0682-6. Epub 2020 Sep 7. PMID: 32895551; PMCID: PMC7610464.