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.
- -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.
The bugtracker is located at
https://github.com/GenABEL-Project/ProbABEL/issues