hla.demo

Eleven HLA-region loci genotyped for 220 subjects, phase not
  known. Contains measles vaccination response with covariate data.

datasets

Haplo Stats is a suite of S-PLUS/R routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The genetic markers are assumed to be codominant (i.e., one-to-one correspondence between their genotypes and their phenotypes), and so we refer to the measurements of genetic markers as genotypes. The main functions in Haplo Stats are:  haplo.em, haplo.glm and haplo.score.

Jason Sinnwell

haplo.stats

Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous

hla.demo function

<item></item>{
Data Frame with the following columns:
}
<item>resp</item>{
Quantitative response to Measles Vaccination 
}
<item>resp.cat</item>{
Category of response as low, normal, or high; based on 'resp'
}
<item>male</item>{
Binary indicator of gender, 1=male, 0=female
}
<item>age</item>{
Age of the subject
}
<item>allele columns 5 - 26</item>{
  Pairs of columns represent the allele pairs for each subject at the
  locus.
}

format

Data set kindly provided by Gregory A. Poland, M.D. and the Mayo
  Clinic Vaccine Research Group for illustration only, and my not be
  used for publication.

source

Schaid DJ, Rowland CM, Tines DE, Jacobson RM,  Poland  GA.
  "Score tests for association of traits with haplotypes when
  linkage phase is ambiguous." Amer J Hum Genet. 70 (2002):  425-434.

hla.demo: HLA Loci and Serologic Response to Measles Vaccination.

Description

Usage

Arguments

format

source

References