pacoxph(1)
Perform Genome-Wide Association Analysis using Cox' Proportional
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.
AUTHORS
Lennart C. Karssen