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Applied Statistics for Human Genetics Using R

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Biostatistics for Human Genetic Epidemiology

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1082))

Abstract

This chapter considers the fundamental concepts in the theory of probability and applied statistics in epidemiology, including the biostatistical concepts and measures in genetic association and familial aggregation studies, including:

  • Additional Approaches in Familial Aggregation Studies

  • Twin Studies

  • Adoption Studies

  • Inbreeding Studies

  • Randomization Test

  • Segregation studies, Linkage studies, Association studies

  • Genome-wide Association Studies (GWAS)

  • Big Data and Human Genomics

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References

  • Chan BKC (2015) Biostatistics for epidemiology and public health using R. Springer, New York

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  • Haseman J, Elton R (1972) The investigation of linkage between a quantitative trait and a marker locus. Behav Genet 2:3–19; Quoted in Thomas, D. C. (2004)

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  • Teare DM, Barrett JH (2005) Genetic linkage studies. Lancet 366(9490):1036–1044

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  • [W] Wikipedia

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Chan, B.K.C. (2018). Applied Statistics for Human Genetics Using R. In: Biostatistics for Human Genetic Epidemiology. Advances in Experimental Medicine and Biology, vol 1082. Springer, Cham. https://doi.org/10.1007/978-3-319-93791-5_3

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