Human Genetic Epidemiology Using R

  • Bertram K. C. Chan
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 1082)


This chapter illustrates the biostatistical human genetics with an introduction to the T-Test, and the Manhattan Plots in statistics using Human Genetic Data concepts leading to procedures for Statistical Tests and Utilities for Genetic Association. Several R packages are chosen: iGasso, GenABEL, and HardyWeinberg. Other topics discussed include:
  • Regression Decision Trees and Classifications

  • Multi-dimensional Analysis in Genetic Epidemiology

  • Regression Decision Trees and Classifications


Regression decision trees Multi-dimensional analysis Regression decision trees Multi-dimensional analysis 


  1. Austin MA et al (2013b) Genetic epidemiology, methods and applications. CABI, BostonCrossRefGoogle Scholar
  2. Chan BKC (2015) Biostatistics for epidemiology and pubic health using R. Springer Publishing, New YorkCrossRefGoogle Scholar
  3. Elston RC, Johnson WD (2008b) Basic biostatistics for geneticist United KingdomGoogle Scholar
  4. Foulkes AS (2009b) “Applied statistical genetics with R” in the Springer “Use R!” series. Springer, New YorkGoogle Scholar
  5. Thomas DC (2004b) Statistical methods in genetic epidemiology. Oxford University Press, New YorkGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Bertram K. C. Chan
    • 1
  1. 1.Epidemiology and BiostatisticsLoma Linda University School of Medicine and Public HealthSunnyvaleUSA

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