The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Status and Prospects of Association Mapping in Plants
Open accessAbstract
There is tremendous interest in using association mapping to identify genes responsible for quantitative variation of complex traits with agricultural and evolutionary importance. Recent advances in genomic technology, impetus to exploit natural diversity, and development of robust statistical analysis methods make association mapping appealing and affordable to plant research programs. Association mapping identifies quantitative trait loci (QTLs) by examining the marker‐trait associations that can be attributed to the strength of linkage disequilibrium between markers and functional polymorphisms across a set of diverse germplasm. General understanding of association mapping has increased significantly since its debut in plants. We have seen a more concerted effort in assembling various association‐mapping populations and initiating experiments through either candidate‐gene or genome‐wide approaches in different plant species. In this review, we describe the current status of association mapping in plants and outline opportunities and challenges in complex trait dissection and genomics‐assisted crop improvement.
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Cites
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
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
Population Structure and Eigenanalysis
Patterson, N., Price, A. L., & Reich, D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020190 · Cited by 5,280
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · cited 2×
“With GC, a set of random markers is used to estimate the degree that test statistics are inl ated by population structure, assuming such structure has a similar ef ect on all loci (Devlin and Roeder, 1999).”
BackgroundMethodLinkage disequilibrium in finite populations
Hill, W. G., & Robertson, A. (1968) · Theoretical and Applied Genetics · doi:10.1007/bf01245622 · Cited by 2,035
Use of Unlinked Genetic Markers to Detect Population Stratification in Association Studies
Pritchard, J. K., & Rosenberg, N. A. (1999) · The American Journal of Human Genetics · doi:10.1086/302449 · Cited by 1,198
Haplotype tagging for the identification of common disease genes
Johnson, G. C. L., Esposito, L., Barratt, B. J., Smith, A. N., Heward, J., Di Genova, G., Ueda, H., Cordell, H. J., Eaves, I. A., Dudbridge, F., et al. (2001) · Nature Genetics · doi:10.1038/ng1001-233 · Cited by 1,174
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
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
Candidate-gene approaches for studying complex genetic traits: practical considerations
Tabor, H. K., Risch, N. J., & Myers, R. M. (2002) · Nature Reviews Genetics · doi:10.1038/nrg796 · Cited by 1,076
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-citationGenome-wide analysis of yield in Europe: allelic effects as functions of drought and heat scenarios
Millet, E., Welcker, C., Kruijer, W., Negro, S., Nicolas, S., Praud, S., Ranc, N., Presterl, T., Tuberosa, R., Bedo, Z., et al. (2016) · Plant Physiology · doi:10.1104/pp.16.00621 · Cited by 160
Wan, H., Chen, L., Guo, J., Li, Q., Wen, J., Yi, B., Ma, C., Tu, J., Fu, T., & Shen, J. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.00593 · Cited by 100
Quantitative Trait Loci Mapping in Plants: Concepts and Approaches
Sehgal, D., Singh, R., & Rajpal, V. R. (2016) · Sustainable Development and Biodiversity · doi:10.1007/978-3-319-27090-6_2 · Cited by 50
Metadata
- Authors
- Zhu, C., Gore, M., Buckler, E. S., & Yu, J.
- Venue
- The Plant Genome
- Publisher
- Wiley
- Published
- 2008-07
- Volume
- 1
- Issue
- 1
- ISSN
- 1940-3372 (ISSN-L)
- OpenAlex
- W2104905104
- Cited by
- 1,343
- References
- 13
- FWCI
- 22.85
- Type
- journal article
- Language
- en
- Open access
- gold
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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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