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Published in Animal Genetics, 2023
Recommended citation: Wang, J., Yang, H., Chen, S., Li, W., Yu, J., Hu, Z., Zhuo, Y., Huang, Q., Liu, Z., Zhou, L., Wu, J., Wang, Z., Guo, F., Yun, P., Wang, X., & Liu, J.-F. (2023). Genome-wide association study reveals candidate genes for pollution excreta traits in pigs. Animal Genetics, 54(4), 553–557.
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Published in Genes, 2023
Recommended citation: Marceau, A., Wang, J., Iqbal, V., Jiang, J., Liu, G. E., & Ma, L. (2023). Investigation of lncRNA in Bos taurus Mammary Tissue during Dry and Lactation Periods. Genes, 14(9), 1789.
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Published in Frontiers in Genetics, 2025
Recommended citation: Wang, J., Tiezzi, F., Huang, Y., Maltecca, C., & Jiang, J. (2025). Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs. Frontiers in Genetics, 16.
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Published in Journal of Dairy Science, 2025
Recommended citation: Wang, J., Gao, Y., Toghiani, S., Cole, J. B., Maltecca, C., Ma, L., & Jiang, J. (2025). Genome-wide association study and fine-mapping using imputed sequences to prioritize candidate genes for 30 complex traits in 50,309 Holstein bulls. Journal of Dairy Science, 108(11), 12506–12518.
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Published in Briefings in Bioinformatics, 2025
This paper presents adaptations of fine-mapping methods for populations with genetic relatedness.
Recommended citation: Wang, J., Tiezzi, F., Huang, Y., See, G., Schwab, C., Wei, J., Maltecca, C., & Jiang, J. (2025). Fine-mapping methods for complex traits: Essential adaptations for samples of related individuals. Briefings in Bioinformatics, 26(6), bbaf614.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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