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Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain.
Wu D, Li X, Tanaka R, Wood JC, Tibbs-Cortes LE, Magallanes-Lundback M, Bornowski N, Hamilton JP, Vaillancourt B, Diepenbrock CH, Li X, Deason NT, Schoenbaum GR, Yu J, Buell CR, DellaPenna D, Gore MA. Wu D, et al. Among authors: tibbs cortes le. Genetics. 2022 Jul 30;221(4):iyac091. doi: 10.1093/genetics/iyac091. Genetics. 2022. PMID: 35666198 Free PMC article.
An integrated framework reinstating the environmental dimension for GWAS and genomic selection in crops.
Li X, Guo T, Wang J, Bekele WA, Sukumaran S, Vanous AE, McNellie JP, Tibbs-Cortes LE, Lopes MS, Lamkey KR, Westgate ME, McKay JK, Archontoulis SV, Reynolds MP, Tinker NA, Schnable PS, Yu J. Li X, et al. Among authors: tibbs cortes le. Mol Plant. 2021 Jun 7;14(6):874-887. doi: 10.1016/j.molp.2021.03.010. Epub 2021 Mar 10. Mol Plant. 2021. PMID: 33713844 Free article.
Genomic prediction of tocochromanols in exotic-derived maize.
Tibbs-Cortes LE, Guo T, Li X, Tanaka R, Vanous AE, Peters D, Gardner C, Magallanes-Lundback M, Deason NT, DellaPenna D, Gore MA, Yu J. Tibbs-Cortes LE, et al. Plant Genome. 2023 Dec;16(4):e20286. doi: 10.1002/tpg2.20286. Epub 2022 Dec 27. Plant Genome. 2023. PMID: 36575809 Free article.
Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain.
Tanaka R, Wu D, Li X, Tibbs-Cortes LE, Wood JC, Magallanes-Lundback M, Bornowski N, Hamilton JP, Vaillancourt B, Li X, Deason NT, Schoenbaum GR, Buell CR, DellaPenna D, Yu J, Gore MA. Tanaka R, et al. Among authors: tibbs cortes le. Plant Genome. 2023 Dec;16(4):e20276. doi: 10.1002/tpg2.20276. Epub 2022 Nov 2. Plant Genome. 2023. PMID: 36321716 Free article.