Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2019 Feb 11:10:100.
doi: 10.3389/fpls.2019.00100. eCollection 2019.

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

Affiliations
Editorial

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

Yuan-Ming Zhang et al. Front Plant Sci. .
No abstract available

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

PubMed Disclaimer

Figures

Figure 1
Figure 1
The pipeline framework of genome-wide association studies and their application.

Comment on

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

Similar articles

Cited by

References

    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

Publication types