Provided by: probabel_0.5.0+dfsg-3_amd64 bug


       pacoxph - Perform Genome-Wide Association Analysis using Cox' Proportional hazards model


       pacoxph [ command-line options ]


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


   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 CHAR
              Use character CHAR to separate fields in the output file(s) (default is space).

       -r, --score
              Use the score test.

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

       -f --flipmaf
              Flip  reference  and  effect  allele according to Minor Allele Frequency (MAF) such
              that the minor allele is the  effect/predictor  allele.  If  this  option  is  set,
              ProbABEL  will  check for each genetic variant whether the Freq1 column in the info
              file (see the --info option) is > 0.5 and if so will flip the  probabilities/dosage
              of that variant such that A1 and A2 are interchanged. This will add a column called
              AllelesFlipped to the output file(s), indicating whether the alleles  were  flipped
              (1) or not (0).

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

       -b, --interaction NUMBER
              Which   covariate  to  use  for  interaction  with  SNP  analysis  (default  is  no
              interaction, 0). NUMBER indicates the column number of the covariate.

       --help Print help.


       probabel(1), palinear(1), palogist(1)


       The bugtracker is located at


       Lennart C. Karssen