The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Bayesian statistical methods for genetic association studies
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
A new multipoint method for genome-wide association studies by imputation of genotypes
Marchini, J., Howie, B., Myers, S., McVean, G., & Donnelly, P. (2007) · Nature Genetics · doi:10.1038/ng2088 · Cited by 2,609
SLCO1B1 Variants and Statin-Induced Myopathy — A Genomewide Study
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801936 · Cited by 2,043
Sterne, J. A. C. (2001) · BMJ · doi:10.1136/bmj.322.7280.226 · Cited by 1,466
High-Resolution Mapping of Expression-QTLs Yields Insight into Human Gene Regulation
Veyrieras, J.-B., Kudaravalli, S., Kim, S. Y., Dermitzakis, E. T., Gilad, Y., Stephens, M., & Pritchard, J. K. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000214 · Cited by 536
Self-citationShifting Paradigm of Association Studies: Value of Rare Single-Nucleotide Polymorphisms
Gorlov, I. P., Gorlova, O. Y., Sunyaev, S. R., Spitz, M. R., & Amos, C. I. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2007.09.006 · Cited by 338
Simultaneous Analysis of All SNPs in Genome-Wide and Re-Sequencing Association Studies
Hoggart, C. J., Whittaker, J. C., De Iorio, M., & Balding, D. J. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000130 · Cited by 321 · cited 1×
“By contrast, step-wise selection or penalized likelihood approaches, such as the Lasso approac”
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Cited by
Giambartolomei, C., Vukcevic, D., Schadt, E. E., Franke, L., Hingorani, A. D., Wallace, C., & Plagnol, V. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004383 · Cited by 4,261
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
Fritsche, L. G., Igl, W., Bailey, J. N. C., Grassmann, F., Sengupta, S., Bragg-Gresham, J. L., Burdon, K. P., Hebbring, S. J., Wen, C., Gorski, M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3448 · Cited by 1,544
HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
Wiecki, T. V., Sofer, I., & Frank, M. J. (2013) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2013.00014 · Cited by 1,047
A simple new approach to variable selection in regression, with application to genetic fine mapping
Wang, G., Sarkar, A., Carbonetto, P., & Stephens, M. (2020) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/rssb.12388 · Cited by 1,121
Self-citation
Metadata
- Authors
- Stephens, M., & Balding, D. J.
- Venue
- Nature Reviews Genetics
- Published
- 2009-10
- Volume
- 10
- Issue
- 10
- Pages
- 681-690
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2078803352
- Cited by
- 468
- References
- 10
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
