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Genome-Wide Composite Interval Mapping (GCIM) of Expressional Quantitative Trait Loci in Backcross Population

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eQTL Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2082))

Abstract

One of the most remarkable findings in expressional quantitative trait locus (eQTL) mapping is that trans (distal) eQTL has small effect. The widely used approaches have a low power in the detection of small-effect eQTL. To overcome this issue, we integrate polygenic background control with multi-locus genetic model to develop genome-wide composite interval mapping (GCIM). This chapter covers the GCIM procedure in a backcross or doubled haploid populations. We describe the genetic model, parameter estimation, multi-locus genetic model, hypothesis tests, and software. Finally, some issues related to the GCIM method are discussed.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (31571268, U1602261, 31871242), and Huazhong Agricultural University Scientific & Technological Self-innovation Foundation (Program No. 2014RC020).

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Authors and Affiliations

  1. Crop Information Center, College of Plant Science and Technology, Wuhan, P. R. China

    Yuan-Ming Zhang

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  1. Yuan-Ming Zhang
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Correspondence to Yuan-Ming Zhang .

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Editors and Affiliations

  1. Temple University, Philadelphia, PA, USA

    Xinghua Mindy Shi

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Zhang, YM. (2020). Genome-Wide Composite Interval Mapping (GCIM) of Expressional Quantitative Trait Loci in Backcross Population. In: Shi, X. (eds) eQTL Analysis. Methods in Molecular Biology, vol 2082. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0026-9_5

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  • DOI: https://doi.org/10.1007/978-1-0716-0026-9_5

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0025-2

  • Online ISBN: 978-1-0716-0026-9

  • eBook Packages: Springer Protocols

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