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Applications of Identity Coefficients

  • Kenneth Lange
Part of the Statistics for Biology and Health book series (SBH)

Abstract

The current chapter discusses some applications of kinship and condensed identity coefficients. We commence with the simplest problem of genetic risk prediction involving just two relatives. This setting is artificial because practical genetic counseling usually takes into account information on a whole pedigree rather than information on just a single relative. We will revisit the question of genetic counseling when we explore algorithms for computing pedigree likelihoods.

Keywords

Risk Ratio Marker Locus Marker Allele Grand Statistic Robust Linkage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Kenneth Lange
    • 1
  1. 1.Department of Biostatistics and MathematicsUniversity of MichiganAnn ArborUSA

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