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Marker-assisted selection using ridge regression
Open accessAbstract
In crosses between inbred lines, linear regression can be used to estimate the correlation of markers with a trait of interest; these marker effects then allow marker assisted selection (MAS) for quantitative traits. Usually a subset of markers to include in the model must be selected: no completely satisfactory method of doing this exists. We show that replacing this selection of markers by ridge regression can improve the mean response to selection and reduce the variability of selection response.
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Cited by
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
A deep convolutional neural network approach for predicting phenotypes from genotypes
Ma, W., Qiu, Z., Song, J., Li, J., Cheng, Q., Zhai, J., & Ma, C. (2018) · Planta · doi:10.1007/s00425-018-2976-9 · Cited by 341
Accommodating Linkage Disequilibrium in Genetic-Association Analyses via Ridge Regression
Malo, N., Libiger, O., & Schork, N. J. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2007.10.012 · Cited by 133
Washburn, J. D., Burch, M. B., & Franco, J. A. V. (2020) · Crop Science · doi:10.1002/csc2.20052 · Cited by 65
Genomic Selection for Small Grain Improvement
Rutkoski, J. E., Crain, J., Poland, J., & Sorrells, M. E. (2017) · Genomic Selection for Crop Improvement · doi:10.1007/978-3-319-63170-7_5 · Cited by 24
Metadata
- Authors
- WHITTAKER, J. C., THOMPSON, R., & DENHAM, M. C.
- Venue
- Genetical Research
- Publisher
- Hindawi Limited
- Published
- 2000-04
- Volume
- 75
- Issue
- 2
- Pages
- 249-252
- ISSN
- 0016-6723 (ISSN-L)
- 1469-5073
- OpenAlex
- W2171250718
- Cited by
- 364
- References
- 0
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- bronze
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- WHITTAKER, J. C., THOMPSON, R., & DENHAM, M. C. (2000). Marker-assisted selection using ridge regression. Genetical Research. https://doi.org/10.1017/s0016672399004462
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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.
