The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Genetic Design and Statistical Power of Nested Association Mapping in Maize
Open accessAbstract
We investigated the genetic and statistical properties of the nested association mapping (NAM) design currently being implemented in maize (26 diverse founders and 5000 distinct immortal genotypes) to dissect the genetic basis of complex quantitative traits. The NAM design simultaneously exploits the advantages of both linkage analysis and association mapping. We demonstrated the power of NAM for high-power cost-effective genome scans through computer simulations based on empirical marker data and simulated traits with different complexities. With common-parent-specific (CPS) markers genotyped for the founders and the progenies, the inheritance of chromosome segments nested within two adjacent CPS markers was inferred through linkage. Genotyping the founders with additional high-density markers enabled the projection of genetic information, capturing linkage disequilibrium information, from founders to progenies. With 5000 genotypes, 30–79% of the simulated quantitative trait loci (QTL) were precisely identified. By integrating genetic design, natural diversity, and genomics technologies, this new complex trait dissection strategy should greatly facilitate endeavors to link molecular variation with phenotypic variation for various complex traits.
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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
Genome sequence, comparative analysis and haplotype structure of the domestic dog
members, B. S. P., Lindblad-Toh, K., Wade, C. M., Mikkelsen, T. S., Karlsson, E. K., Jaffe, D. B., Kamal, M., Clamp, M., Chang, J. L., Kulbokas, E. J., et al. (2005) · Nature · doi:10.1038/nature04338 · Cited by 2,568
The Genetic Architecture of Quantitative Traits
Mackay, T. F. C. (2001) · Annual Review of Genetics · doi:10.1146/annurev.genet.35.102401.090633 · Cited by 1,106
The allelic architecture of human disease genes: common disease-common variant... or not?
Pritchard, J. K. (2002) · Human Molecular Genetics · doi:10.1093/hmg/11.20.2417 · Cited by 711
Gene-to-phenotype models and complex trait genetics
Cooper, M., Podlich, D. W., & Smith, O. S. (2005) · Australian Journal of Agricultural Research · doi:10.1071/ar05154 · Cited by 104
Darvasi, A., & Shifman, S. (2005) · Nature Genetics · doi:10.1038/ng0205-118 · Cited by 84
Cited by
Association mapping: critical considerations shift from genotyping to experimental design
Myles, S., Peiffer, J., Brown, P. J., Ersoz, E. S., Zhang, Z., Costich, D. E., & Buckler, E. S. (2009) · The Plant Cell · doi:10.1105/tpc.109.068437 · Cited by 857
Self-citationDe novo assembly, annotation, and comparative analysis of 26 diverse maize genomes
Hufford, M. B., Seetharam, A. S., Woodhouse, M. R., Chougule, K. M., Ou, S., Liu, J., Ricci, W. A., Guo, T., Olson, A., Qiu, Y., et al. (2021) · Science · doi:10.1126/science.abg5289 · Cited by 747
Self-citationQuantitative Trait Loci and Crop Performance under Abiotic Stress: Where Do We Stand?: Table I.
Collins, N. C., Tardieu, F., & Tuberosa, R. (2008) · PLANT PHYSIOLOGY · doi:10.1104/pp.108.118117 · Cited by 559
Metabolomics-assisted breeding: a viable option for crop improvement?
Fernie, A. R., & Schauer, N. (2009) · Trends in Genetics · doi:10.1016/j.tig.2008.10.010 · Cited by 550
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Metadata
- Authors
- Yu, J., Holland, J. B., McMullen, M. D., & Buckler, E. S.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-01-01
- Volume
- 178
- Issue
- 1
- Pages
- 539-551
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2131354461
- Cited by
- 1,094
- References
- 6
- FWCI
- 30.06
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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