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Introduction

  • Karl W. Broman
  • Śaunak Sen
Chapter
Part of the Statistics for Biology and Health book series (SBH)

Many phenotypes (traits) of biomedical, agricultural, or evolutionary importance are quantitative in nature. Examples include blood pressure (to study hypertension), milk output (in dairy breeding), and number of seeds produced per plant (to study evolutionary fitness). Many phenotypes such as coat color of mice, or cancer tumor aggressiveness, may not be strictly quantitative, but may be studied by a derived quantitative measure. We may classify mice by whether or not they have an agouti coat color, a 0/1 measure, or grade tumors by aggressiveness on a scale of 1 to 4 by examining tumor biopsies.

Keywords

Recombination Fraction Experimental Cross Average Phenotype Miss Data Problem Model Selection Problem 
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-Verlag New York 2009

Authors and Affiliations

  1. 1.Dept. Biostatistics & Medical InformaticsUniversity of Wisconsin-MadisonMadisonUSA
  2. 2.Dept. Epidemiology & BiostatisticsUniversity of California San FranciscoSan FranciscoUSA

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