
  This dataset describes the SNPs to be considered in the tutorial for assessing the statistical power 
  of GWAs with waffect (see the vignette). There are 1000 rows, one for each marker, and 4 columns: 
  <ul>
<li> chr: the chromosome, here all the SNPs are on X
   </li>
<li> SNP_id: the SNP identifier, here an integer from 1 to 1000
   </li>
<li>  dist: the genetic distance, here a dummy variable set to 0 for all the SNPs
   </li>
<li>  bp_pos: the base-pair position, here an integer from 1 to 1000. 
  </li>
</ul>
   
   Before using this dataset with PLINK it is necessary to save it into a file with extension .map
  (see the vignette).


dataset

waffect (pronounced 'double-u affect' for 'weighted
affectation') is a package to simulate phenotypic (case or
control) datasets under a disease model H1 such that the total
number of cases is constant across all the simulations (the
constrain in the title). The package also makes it possible to
generate phenotypes in the case of more than two classes, so
that the number of phenotypes belonging to each class is
constant across all the simulations. waffect is used to assess
empirically the statistical power of Genome Wide Association
studies.

map: SNP description in MAP format

Description

Usage

Arguments

Format