The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.
Advancing the use of genome-wide association studies for drug repurposing
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Cites
Bowden, J., Davey Smith, G., & Burgess, S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv080 · Cited by 9,816
Bowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21965 · Cited by 8,922
Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome
Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898
Verbanck, M., Chen, C.-Y., Neale, B., & Do, R. (2018) · Nature Genetics · doi:10.1038/s41588-018-0099-7 · Cited by 8,591
DrugBank 5.0: a major update to the DrugBank database for 2018
Wishart, D. S., Feunang, Y. D., Guo, A. C., Lo, E. J., Marcu, A., Grant, J. R., Sajed, T., Johnson, D., Li, C., Sayeeda, Z., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1037 · Cited by 8,404
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
The MR-Base platform supports systematic causal inference across the human phenome
Hemani, G., Zheng, J., Elsworth, B., Wade, K. H., Haberland, V., Baird, D., Laurin, C., Burgess, S., Bowden, J., Langdon, R., et al. (2018) · eLife · doi:10.7554/elife.34408 · Cited by 7,959
Biological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
Burgess, S., Butterworth, A., & Thompson, S. G. (2013) · Genetic Epidemiology · doi:10.1002/gepi.21758 · Cited by 6,050
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
Cited by
Genetic regulation of the human plasma proteome in 54,306 UK Biobank participants
Sun, B. B., Chiou, J., Traylor, M., Benner, C., Hsu, Y.-H., Richardson, T. G., Surendran, P., Mahajan, A., Robins, C., Vasquez-Grinnell, S. G., et al. (2022) · doi:10.1101/2022.06.17.496443 · Cited by 1,833
Plasma proteomic associations with genetics and health in the UK Biobank
Sun, B. B., Chiou, J., Traylor, M., Benner, C., Hsu, Y.-H., Richardson, T. G., Surendran, P., Mahajan, A., Robins, C., Vasquez-Grinnell, S. G., et al. (2023) · Nature · doi:10.1038/s41586-023-06592-6 · Cited by 1,880
The immunology of multiple sclerosis
Attfield, K. E., Jensen, L. T., Kaufmann, M., Friese, M. A., & Fugger, L. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-022-00718-z · Cited by 380
Potential drug targets for multiple sclerosis identified through Mendelian randomization analysis
Lin, J., Zhou, J., & Xu, Y. (2023) · Brain · doi:10.1093/brain/awad070 · Cited by 271
“8 MR is a genetic instrumental variable analysis that usually utilizes single nucleotide polymorphisms (SNPs) from genome-wide association studies (GWAS) as genetic instruments to estimate the causal effect of an exposure on an outcome.”
Fang, J., Zhang, P., Wang, Q., Chiang, C.-W., Zhou, Y., Hou, Y., Xu, J., Chen, R., Zhang, B., Lewis, S. J., et al. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-021-00951-z · Cited by 140
Metadata
- Authors
- Reay, W. R., & Cairns, M. J.
- Venue
- Nature Reviews Genetics
- Published
- 2021-07-23
- Volume
- 22
- Issue
- 10
- Pages
- 658-671
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W3184279863
- Cited by
- 283
- References
- 150
- FWCI
- 8.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Advancing the use of genome-wide association studies for drug repurposing. https://app.cochat.ai/papers/10.1038/s41576-021-00387-z
- The paper
- Reay, W. R., & Cairns, M. J. (2021). Advancing the use of genome-wide association studies for drug repurposing. Nature Reviews Genetics. https://doi.org/10.1038/s41576-021-00387-z
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
