Provided by: probabel_0.4.2-2_amd64 bug

NAME

       pacoxph - Perform Genome-Wide Association Analysis using a linear model

SYNOPSIS

       pacoxph [ command-line options ]

DESCRIPTION

       pacoxph runs a linear regression on large imputed data sets in an efficient way.

Options

   Required command line options
       -p, --pheno FILE
              Read phenotype data from FILE

       -i, --info FILE
              Read SNP information from FILE (e.g. MLINFO file).

       -d, --dose FILE
              SNP predictor (e.g. MLDOSE/MLPROB) file name.

   Optional command line options
       -m, --map FILE
              Map file name, containing base pair positions for each SNP.

       -n, --nids NUMBER
              Number of people to analyse.

       -c, --chrom FILE
              Chromosome (to be passed to output).

       -o, --out FILE
              Output file name (default is regression.out.txt ).

       -s, --skipd NUMBER
              How many columns to skip in predictor (dose/prob) file (default is 2).

       -t, --ntraits NUMBER
              How many traits are analysed (default is 2).

       -g, --ngpreds NUMBER
              How many predictor columns per marker (default 1 = MLDOSE; else use 2 for MLPROB).

       -a, --separat  FILE
              Character to separate fields (default is space).

       -r, --score
              Use the score test.

       -e, --no-head
              Do not report header line in the output.

       -l --allcov
              Report estimates for all covariates (large outputs!).

       -b, --interaction
              Which   covariate  to  use  for  interaction  with  SNP  analysis  (default  is  no
              interaction, 0).

       -k, --interaction_only
              Like --interaction but without covariate acting in interaction with SNP (default is
              no interaction, 0).

       --help Print help.

SEE ALSO

       palinear(1), palogist(1)

BUGS

       The bugtracker is located at
       https://r-forge.r-project.org/tracker/?group_id=505

AUTHORS

       Lennart C. Karssen