The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Trans-ancestry analysis reveals genetic and nongenetic associations with COVID-19 susceptibility and severity
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Cites
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Self-citationHoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Self-citationAn interactive web-based dashboard to track COVID-19 in real time
Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048
Factors associated with COVID-19-related death using OpenSAFELY
Williamson, E. J., Walker, A. J., Bhaskaran, K., Bacon, S., Bates, C., Morton, C. E., Curtis, H. J., Mehrkar, A., Evans, D., Inglesby, P., et al. (2020) · Nature · doi:10.1038/s41586-020-2521-4 · Cited by 6,674
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
Structural basis for the recognition of SARS-CoV-2 by full-length human ACE2
Yan, R., Zhang, Y., Li, Y., Xia, L., Guo, Y., & Zhou, Q. (2020) · Science · doi:10.1126/science.abb2762 · Cited by 5,040
A reference panel of 64,976 haplotypes for genotype imputation
the Haplotype Reference Consortium (2016) · Nature Genetics · doi:10.1038/ng.3643 · Cited by 2,836
Dean, M., Carrington, M., Winkler, C., Huttley, G. A., Smith, M. W., Allikmets, R., Goedert, J. J., Buchbinder, S. P., Vittinghoff, E., Gomperts, E., et al. (1996) · Science · doi:10.1126/science.273.5283.1856 · Cited by 2,484
Longitudinal analyses reveal immunological misfiring in severe COVID-19
Lucas, C., Wong, P., Klein, J., Castro, T. B. R., Silva, J., Sundaram, M., Ellingson, M. K., Mao, T., Oh, J. E., Israelow, B., et al. (2020) · Nature · doi:10.1038/s41586-020-2588-y · Cited by 2,074
Cited by
Qin, Y., Havulinna, A. S., Liu, Y., Jousilahti, P., Ritchie, S. C., Tokolyi, A., Sanders, J. G., Valsta, L., Brożyńska, M., Zhu, Q., et al. (2022) · Nature Genetics · doi:10.1038/s41588-021-00991-z · Cited by 586
Chronic overlapping pain conditions and nociplastic pain
Johnston, K. J. A., Signer, R., & Huckins, L. M. (2025) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2024.100381 · Cited by 35
Metadata
- Authors
- Shelton, J. F., Shastri, A. J., Ye, C., Weldon, C. H., Filshtein-Sonmez, T., Coker, D., Symons, A., Esparza-Gordillo, J., The 23andMe COVID-19 Team, Chubb, A., Fitch, A., Kung, A., Altman, A., Kill, A., Tan, J., Pollard, J., McCreight, J., Bielenberg, J., Matthews, J., Lee, J., Tran, L., Agee, M., Royce, M., Tang, N., Gandhi, P., d’Amore, R., Tennen, R., Dvorak, S., Hadly, S., Park, S., Morrow, T., Le, T., Zheng, Y., Aslibekyan, S., & Auton, A.
- Venue
- Nature Genetics
- Published
- 2021-04-22
- Volume
- 53
- Issue
- 6
- Pages
- 801-808
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W3156994935
- Cited by
- 282
- References
- 38
- FWCI
- 30.34
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Trans-ancestry analysis reveals genetic and nongenetic associations with COVID-19 susceptibility and severity. https://app.cochat.ai/papers/10.1038/s41588-021-00854-7
- The paper
- Shelton, J. F., Shastri, A. J., Ye, C., Weldon, C. H., Filshtein-Sonmez, T., Coker, D., Symons, A., Esparza-Gordillo, J., The 23andMe COVID-19 Team, Chubb, A., Fitch, A., Kung, A., Altman, A., Kill, A., Tan, J., Pollard, J., McCreight, J., Bielenberg, J., Matthews, J., . . . Auton, A. (2021). Trans-ancestry analysis reveals genetic and nongenetic associations with COVID-19 susceptibility and severity. Nature Genetics. https://doi.org/10.1038/s41588-021-00854-7
Data sources
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.
