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Editorial: Advances in statistical methods for the genetic dissection of complex traits in plants.

作者信息

Zhang Yuan-Ming, Jia Zhenyu, Xie Shang-Qian, Wen Jia, Wang Shibo, Zhang Ya-Wen

机构信息

College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.

Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA, United States.

出版信息

Front Plant Sci. 2024 Jan 15;15:1357564. doi: 10.3389/fpls.2024.1357564. eCollection 2024.

DOI:10.3389/fpls.2024.1357564
PMID:38287980
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10822929/
Abstract
摘要

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本文引用的文献

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2
Multi-locus genome-wide association study and genomic prediction for flowering time in chrysanthemum.菊花开花时间的多位点全基因组关联研究及基因组预测
Planta. 2023 Dec 8;259(1):13. doi: 10.1007/s00425-023-04297-8.
3
IIIVmrMLM: The R and C++ tools associated with 3VmrMLM, a comprehensive GWAS method for dissecting quantitative traits.IIIVmrMLM：与3VmrMLM相关的R和C++工具，3VmrMLM是一种用于剖析数量性状的综合全基因组关联研究方法。
Mol Plant. 2022 Aug 1;15(8):1251-1253. doi: 10.1016/j.molp.2022.06.002. Epub 2022 Jun 8.
4
A compressed variance component mixed model for detecting QTNs and QTN-by-environment and QTN-by-QTN interactions in genome-wide association studies.用于全基因组关联研究中检测 QTNs 及其与环境和 QTN 间互作的压缩方差组分混合模型。
Mol Plant. 2022 Apr 4;15(4):630-650. doi: 10.1016/j.molp.2022.02.012. Epub 2022 Feb 22.
5
mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies.mrMLM v4.0.2：一个用于多基因座全基因组关联研究的 R 平台。
Genomics Proteomics Bioinformatics. 2020 Aug;18(4):481-487. doi: 10.1016/j.gpb.2020.06.006. Epub 2020 Dec 18.
6
Editorial: The Applications of New Multi-Locus GWAS Methodologies in the Genetic Dissection of Complex Traits.社论：新的多位点全基因组关联研究方法在复杂性状基因剖析中的应用
Front Plant Sci. 2019 Feb 11;10:100. doi: 10.3389/fpls.2019.00100. eCollection 2019.