The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A unified mixed-model method for association mapping that accounts for multiple levels of relatedness
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Citations
Cites
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162
A General Test of Association for Quantitative Traits in Nuclear Families
Abecasis, G. R., Cardon, L. R., & Cookson, W. O. C. (2000) · The American Journal of Human Genetics · doi:10.1086/302698 · Cited by 1,126 · cited 1×
“Family-based samples (area II) have been exploited to avoid the effect of population structur”
MethodThe effects of human population structure on large genetic association studies
Marchini, J., Cardon, L. R., Phillips, M. S., & Donnelly, P. (2004) · Nature Genetics · doi:10.1038/ng1337 · Cited by 869
Zhang, W., Collins, A., Gibson, J., Tapper, W. J., Hunt, S., Deloukas, P., Bentley, D. R., & Morton, N. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408251102 · Cited by 49
Cited by
10 Years of GWAS Discovery: Biology, Function, and Translation
Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A., & Yang, J. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.005 · Cited by 3,719
Genome-wide efficient mixed-model analysis for association studies
Zhou, X., & Stephens, M. (2012) · Nature Genetics · doi:10.1038/ng.2310 · Cited by 3,627
Variance component model to account for sample structure in genome-wide association studies
Kang, H. M., Sul, J. H., Service, S. K., Zaitlen, N. A., Kong, S.-Y., Freimer, N. B., Sabatti, C., & Eskin, E. (2010) · Nature Genetics · doi:10.1038/ng.548 · Cited by 2,817
Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP
Endelman, J. B. (2011) · The Plant Genome · doi:10.3835/plantgenome2011.08.0024 · Cited by 2,094
Efficient Bayesian mixed-model analysis increases association power in large cohorts
Loh, P.-R., Tucker, G., Bulik-Sullivan, B. K., Vilhjálmsson, B. J., Finucane, H. K., Salem, R. M., Chasman, D. I., Ridker, P. M., Neale, B. M., Berger, B., et al. (2015) · Nature Genetics · doi:10.1038/ng.3190 · Cited by 1,507
Metadata
- Authors
- Yu, J., Pressoir, G., Briggs, W. H., Vroh Bi, I., Yamasaki, M., Doebley, J. F., McMullen, M. D., Gaut, B. S., Nielsen, D. M., Holland, J. B., Kresovich, S., & Buckler, E. S.
- Venue
- Nature Genetics
- Published
- 2005-12-25
- Volume
- 38
- Issue
- 2
- Pages
- 203-208
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2134036574
- Cited by
- 4,133
- References
- 4
- FWCI
- 26.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. https://app.cochat.ai/papers/10.1038/ng1702
- The paper
- Yu, J., Pressoir, G., Briggs, W. H., Vroh Bi, I., Yamasaki, M., Doebley, J. F., McMullen, M. D., Gaut, B. S., Nielsen, D. M., Holland, J. B., Kresovich, S., & Buckler, E. S. (2006). A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nature Genetics. https://doi.org/10.1038/ng1702
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.