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Novel Methods for Family-Based Genetic Studies

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Genetic Epidemiology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1793))

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Abstract

The recent development of microarray and sequencing technology allows identification of disease susceptibility genes. Although the genome-wide association studies (GWAS) have successfully identified many genetic markers related to human diseases, the traditional statistical methods are not powerful to detect rare genetic markers. The rare genetic markers are usually grouped together and tested at the set level. One of such methods is the sequence kernel association test (SKAT), which has been commonly used in the rare genetic marker analysis. In recent publications, SKAT has been extended to be applicable for family-based rare variant analysis. Here, I present three published statistical approaches for family-based rare variant analysis for: 1. continuous traits, 2. binary traits, and 3. multiple correlated traits.

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Authors and Affiliations

  1. Division of Pulmonary Medicine, Allergy and Immunology; Department of Pediatrics, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh, Pittsburgh, PA, USA

    Qi Yan

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  1. Qi Yan
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Correspondence to Qi Yan .

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Editors and Affiliations

  1. Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece

    Evangelos Evangelou

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Yan, Q. (2018). Novel Methods for Family-Based Genetic Studies. In: Evangelou, E. (eds) Genetic Epidemiology. Methods in Molecular Biology, vol 1793. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7868-7_9

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  • DOI: https://doi.org/10.1007/978-1-4939-7868-7_9

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7867-0

  • Online ISBN: 978-1-4939-7868-7

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