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Handbook on Analyzing Human Genetic Data pp 171–190Cite as

Population-Based Association Studies

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Abstract

Population-based association studies have been playing a major role in mapping genes affected complex diseases. The advantages of population based association studies include greater efficiency in sample recruitment and more power than family-based studies. However, population-based association mapping may lead to false positive findings if population stratification is not properly considered. In this chapter, we will review population-based association mapping methods that can control false positive rate due to population stratification. These methods include approaches. We will apply these methods to a simulated data set and illustrate the approaches. We will apply these methods to a simulated data set and illustrate the advantages and limitations of these methods.

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Acknowledgements

This work was supported by grant from National Human Genome Research Institute (HG003054).

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Authors and Affiliations

  1. Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA

    Xiaofeng Zhu

  2. Department of Mathematical Science, Michigan Technological University, Houghton, MI, USA

    ShuangLin Zhang

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  1. Xiaofeng Zhu
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Correspondence to Xiaofeng Zhu .

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© 2009 Springer-Verlag Berlin Heidelberg

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Zhu, X., Zhang, S. (2009). Population-Based Association Studies. In: Handbook on Analyzing Human Genetic Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69264-5_6

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