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Statistical Methods in GeneticEpidemiology

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Handbook of Epidemiology

Abstract

Genetic epidemiology combines the scientific disciplines of human genetics, epidemiology, and biostatistics and has close relationships with the fields of medicine, molecular genetics, and molecular epidemiology. The latter traditionally has been concerned more with the study of molecular markers of exposure, susceptibility, and disease (see chapter Molecular Epidemiology of this handbook). The field is also a specialized subdiscipline of biometry and mathematical population genetics with major biometrical contributions to human genetics and the development of statistical methods including segregation, linkage, and association analysis; simulation methods; and computer algorithms. Rather than focusing on cells or molecules (as in molecular genetics) or on individual patients (as in clinical genetics), genetic epidemiology research is conducted using populations or large series of systematically collected families (Khoury et al. 1993).

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Acknowledgements

Dr. Bickeböller is supported by the German Research Foundation (DFG) grants (GRK 1644/1, KFO 241). Dr. Thomas is supported by NIH research grants ES019876, ES07048, MH084678, and HG005927.

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Authors and Affiliations

  1. Department of Genetic Epidemiology, University Medical School, Georg-August-University of Göttingen, Humboldtallee 32, 37073, Göttingen, Germany

    Heike Bickeböller & Duncan C. Thomas

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  1. Heike Bickeböller
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  2. Duncan C. Thomas
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  1. Department of Epidemiological Methods and Etiologic Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany

    Wolfgang Ahrens

  2. Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany

    Iris Pigeot

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Bickeböller, H., Thomas, D.C. (2014). Statistical Methods in GeneticEpidemiology. In: Ahrens, W., Pigeot, I. (eds) Handbook of Epidemiology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09834-0_62

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