Editorial: The Applications of New Multi-Locus GWAS Methodologies in the Genetic Dissection of Complex Traits

Affiliations

¹ Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
² Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA, United States.
³ School of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom.

Editorial

Yuan-Ming Zhang et al. Front Plant Sci. 2019.

. 2019 Feb 11:10:100.

doi: 10.3389/fpls.2019.00100. eCollection 2019.

¹ Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
² Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA, United States.
³ School of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom.

No abstract available

Keywords: genome-wide association study; mixed linear model; mrMLM; multi-locus model; omics big dataset.

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Editorial on the Research Topic The Applications of New Multi-Locus GWAS Methodologies in the Genetic Dissection of Complex Traits

1. Barsh G. S., Copenhaver G. P., Gibson G., Williams S. M. (2012). Guidelines for genome-wide association studies. PLoS Genet. 8:e1002812. 10.1371/journal.pgen.1002812 - DOI - PMC - PubMed
1. Chang M., He L., Cai L. (2018). An overview of genome-wide association studies. Methods Mol. Biol. 1754, 97–108. 10.1007/978-1-4939-7717-8_6 - DOI - PubMed
1. Eichler E. E., Flint J., Gibson G., Kong A., Leal S. M., Moore J. H., et al. . (2010). Missing heritability and strategies for finding the underlying causes of complex disease. Nat. Rev. Genet. 11, 446–450. 10.1038/nrg2809 - DOI - PMC - PubMed
1. Fadista J., Manning A. K., Florez J. C., Groop L. (2016). The (in)famous GWAS P-value threshold revisited and updated for low-frequency variants. Eur J. Hum. Genet. 24, 1202–1205. 10.1038/ejhg.2015.269 - DOI - PMC - PubMed
1. Feng J. Y., Wen Y. J., Zhang J., Zhang Y. M. (2016). Advances on methodologies for genome-wide association studies in plants. Acta Agron. Sin. 42, 945–956. 10.3724/SP.J.1006.2016.00945 - DOI