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Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain by Wu, Di, Li, Xiaowei, Tanaka, Ryokei, Wood, Joshua C., Tibbs-Cortes, Laura E., Magallanes-Lundback, Maria, Bornowski, Nolan, Hamilton, John P., Vaillancourt, Brieanne, Diepenbrock, Christine H., Li, Xianran, Deason, Nicholas T., Schoenbaum, Gregory R., Yu, Jianming, Buell, C. Robin, DellaPenna, Dean, Gore, Michael A.

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Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain by Tanaka, Ryokei, Wu, Di, Li, Xiaowei, Tibbs-Cortes, Laura E., Wood, Joshua C., Magallanes-Lundback, Maria, Bornowski, Nolan, Hamilton, John P., Vaillancourt, Brieanne, Li, Xianran, Deason, Nicholas T., Schoenbaum, Gregory R., Buell, Robin C., DellaPenna, Dean, Yu, Jianming, Gore, Michael A.

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