Abstract
Massively parallel sequencing technologies provide new opportunities to discover causal variants and narrow down candidate genes responsible for human Mendelian disorders. Such information can in turn provide new insights into understanding the basic science behind, as well as improving diagnosis and treatment for, these disorders. In this chapter, we review experimental design and data analysis for sequencing studies of human immune disorders. We discuss optimal experimental designs for sample selection and sequencing approaches, as well as key aspects of data analysis such as filtering and prioritization of identified variants.
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Acknowledgments
We thank Bernice Lo and Helen Matthews for critically reading the manuscript. This work was supported by the Intramural Research Program of the National Institutes of Health and the National Institute of Allergy and Infectious Diseases.
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Zhang, Y., Su, H.C. (2013). Designs for Massively Parallel Sequencing Approaches to Identify Causal Mutations in Human Immune Disorders. In: Snow, A., Lenardo, M. (eds) Immune Homeostasis. Methods in Molecular Biology, vol 979. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-290-2_14
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DOI: https://doi.org/10.1007/978-1-62703-290-2_14
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