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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: schoenbaum gr. Genetics. 2022 Jul 30;221(4):iyac091. doi: 10.1093/genetics/iyac091. Genetics. 2022. PMID: 35666198 Free PMC 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: schoenbaum gr. Plant Genome. 2023 Dec;16(4):e20276. doi: 10.1002/tpg2.20276. Epub 2022 Nov 2. Plant Genome. 2023. PMID: 36321716 Free article.