Quantitative Trait Loci

Displaying 1 - 9 of 9CSV
Yao, M., Miller, G. W., Vardarajan, B. N., Baccarelli, A. A., Guo, Z., & Liu, Z. (2024). Deciphering proteins in Alzheimer’s disease: A new Mendelian randomization method integrated with AlphaFold3 for 3D structure prediction. Cell Genomics, 4(12), 100700. https://doi.org/10.1016/j.xgen.2024.100700
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D’Alessandro, A., Keele, G. R., Hay, A., Nemkov, T., Earley, E. J., Stephenson, D., Vincent, M., Deng, X., Stone, M., Dzieciatkowska, M., Hansen, K. C., Kleinman, S., Spitalnik, S. L., Roubinian, N., Norris, P. J., Busch, M. P., Page, G. P., Stockwell, B. R., Churchill, G. A., & Zimring, J. C. (2025). Ferroptosis regulates hemolysis in stored murine and human red blood cells. Blood, 145(7), 765–783. https://doi.org/10.1182/blood.2024026109
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Verma, A., Huffman, J. E., Rodriguez, A., Conery, M., Liu, M., Ho, Y.-L., Kim, Y., Heise, D. A., Guare, L., Panickan, V. A., Garcon, H., Linares, F., Costa, L., Goethert, I., Tipton, R., Honerlaw, J., Davies, L., Whitbourne, S., Cohen, J., … Liao, K. P. (2024). Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program. Science, 385(6706). https://doi.org/10.1126/science.adj1182
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Xu, C., Bao, S., Wang, Y., Li, W., Chen, H., Shen, Y., Jiang, T., & Zhang, C. (2024). Reference-informed prediction of alternative splicing and splicing-altering mutations from sequences. Genome Research, 34(7), 1052–1065. https://doi.org/10.1101/gr.279044.124
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Bravo, J. I., Mizrahi, C. R., Kim, S., Zhang, L., Suh, Y., & Benayoun, B. A. (2024). An eQTL-based approach reveals candidate regulators of LINE-1 RNA levels in lymphoblastoid cells. PLOS Genetics, 20(6), e1011311. https://doi.org/10.1371/journal.pgen.1011311
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Kasela, S., Aguet, F., Kim-Hellmuth, S., Brown, B. C., Nachun, D. C., Tracy, R. P., Durda, P., Liu, Y., Taylor, K. D., Johnson, W. C., Van Den Berg, D., Gabriel, S., Gupta, N., Smith, J. D., Blackwell, T. W., Rotter, J. I., Ardlie, K. G., Manichaikul, A., Rich, S. S., … Lappalainen, T. (2024). Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects. The American Journal of Human Genetics, 111(1), 133–149. https://doi.org/10.1016/j.ajhg.2023.11.013
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Liu, W., Lin, H., Liu, L., Ma, Y., Wei, Y., & Li, Y. (2023). Supervised structural learning of semiparametric regression on high‐dimensional correlated covariates with applications to eQTL studies. Statistics in Medicine, 42(18), 3145–3163. Portico. https://doi.org/10.1002/sim.9769
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Moore, A., Busch, M. P., Dziewulska, K., Francis, R. O., Hod, E. A., Zimring, J. C., D’Alessandro, A., & Page, G. P. (2022). Genome-wide metabolite quantitative trait loci analysis (mQTL) in red blood cells from volunteer blood donors. Journal of Biological Chemistry, 298(12), 102706. https://doi.org/10.1016/j.jbc.2022.102706
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Roostaei, T., Klein, H.-U., Ma, Y., Felsky, D., Kivisäkk, P., Connor, S. M., Kroshilina, A., Yung, C., Kaskow, B. J., Shao, X., Rhead, B., Ordovás, J. M., Absher, D. M., Arnett, D. K., Liu, J., Patsopoulos, N., Barcellos, L. F., Weiner, H. L., & De Jager, P. L. (2021). Proximal and distal effects of genetic susceptibility to multiple sclerosis on the T cell epigenome. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-27427-w
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