height.scores


  Risk score for height parameterised using GWAS meta-analysis results
  published by Lango Allen et al. (Nature 2010) as part of work by the
  GIANT consortium.


datasets

Assorted tools for genetic association analyses.  The
current focus is on implementing (either exactly or
approximately) regression analyses using summary statistics
instead of using subject-specific data.  So far, functions
exist to support multi-SNP risk score analyses, multi-SNP
conditional regression analyses, and multi-phenotype analyses,
using summary statistics.  There are helper functions for
reading and manipulating subject-specific genotype data, which
provide a platform for calculating the summary statistics, or
for using R to conduct other analyses not supported by specific
GWAS analysis tools.

Toby Johnson

Genetics ToolboX

height.scores function

A data frame suitable for use with other functions in this package,
  see <a rd-options="" href="/link/gtx.params?package=gtx&version=0.0.8" data-mini-rdoc="gtx::gtx.params">gtx.params</a>. The score is called HEIGHT2010, and has coefficients in height Z score
  units (i.e. phenotypic standard deviations) per coded
  allele.  One phenotypic standard deviation for height is 0.06-0.07m in
  most samples analysed by Lango Allen et al. Effect size estimates are taken from the &#147;STAGE 2&#148; results in
  Supplementary Table 1 of Lango Allen et al.

Format

For the publication by Lango Allen et al. from which these data were extracted see <a href="http://dx.doi.org/10.1038/nature09410">http://dx.doi.org/10.1038/nature09410</a>.

Data engineering and BI courses are free!

height.scores: Genetic risk score for height.

Description

Usage

Arguments

Format

Source