Difference between revisions of "RAREFY DOCUMENTATION"

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== Useful Wiki Pages ==
 +
 +
* The [[RAREFY | '''RAREFY Home''']]
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* The [[RAREFY_DOWNLOAD | '''RAREFY Download Page''']]
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* The [[RAREFY_COMMAND | '''RAREFY Command Reference''']]
 +
* The [[RAREFY_TUTORIAL | '''RAREFY Tutorial''']]
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* The [[RAREFY_FAQ | '''FAQ''']]
 +
 
==KEY FEATURES==
 
==KEY FEATURES==
  
*'''RAREFY''' is a likelihood-based method to prioritize individuals in family samples and population samples.  
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*'''RAREFY''' is a likelihood-based method to prioritize individuals in family AND population samples.  
  
 
*'''RAREFY''' takes account familial relatedness and allows adjusting covariates.
 
*'''RAREFY''' takes account familial relatedness and allows adjusting covariates.
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*'''RAREFY''' is able to handle large and complex pedigrees.
 
*'''RAREFY''' is able to handle large and complex pedigrees.
  
==INPUT FILE FORMAT==
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==DOWNLOAD & BUILD==
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Please go to [[RAREFY_DOWNLOAD | '''DOWNLOAD PAGE''']] for source code and executables.
 +
 
 +
==INPUT FORMAT==
 
*'''RAREFY''' takes [http://www.sph.umich.edu/csg/abecasis/merlin/tour/input_files.html MERLIN format PED/DAT files] as input, no MAP file is needed.
 
*'''RAREFY''' takes [http://www.sph.umich.edu/csg/abecasis/merlin/tour/input_files.html MERLIN format PED/DAT files] as input, no MAP file is needed.
 
*Input files should have pedigree information, phenotype, and covariates information (if covariates are to be adjusted) saved.
 
*Input files should have pedigree information, phenotype, and covariates information (if covariates are to be adjusted) saved.
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 +
==OUTPUT FORMAT==
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'''RAREFY''' generates output file with eight columns.
  
 
==SOFTWARE INTERFACE==
 
==SOFTWARE INTERFACE==
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   Input Files : --ped [], --dat []
 
   Input Files : --ped [], --dat []
 
       Methods : --MCMC, --traitIncreasing, --traitDecreasing
 
       Methods : --MCMC, --traitIncreasing, --traitDecreasing
         Trait : --inverseNormal, --logTransform, --useCovariates,
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         Trait : --inverseNormal, --useCovariates, --traitName []
                --traitName []
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     Parameters : --maf [1.0e-03], --effect [1.00]
     Parameters : --maf [1.0e-03], --effect [2.00]
 
 
           MCMC : --seed, --chains [3], --iterations [50000000]
 
           MCMC : --seed, --chains [3], --iterations [50000000]
 
         Other : --famList [], --famID [], --cpus [5], --prefix []
 
         Other : --famList [], --famID [], --cpus [5], --prefix []
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Please see [[RAREFY_COMMAND| '''RAREFY COMMAND REFERENCE''']] for detailed description of usage, and [[RAREFY_DOC#EXAMPLES | '''EXAMPLES''']] for quick examples.
  
 
==EXAMPLES==
 
==EXAMPLES==
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*To prioritize individuals likely to be carriers of trait-increasing rare variants:
 +
rarefy --ped your.ped --dat your.dat --traitIncreasing --prefix your.output.prefix
 +
*To prioritize individuals likely to be carriers of trait-decreasing rare variants:
 +
rarefy --ped your.ped --dat your.dat --traitDecreasing --prefix your.output.prefix
 +
*To prioritize individuals likely to be carriers of either trait-decreasing or trait-decreasing rare variants:
 +
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --prefix your.output.prefix
 +
*To analyze families using MCMC method in 3 chains and 50000000 iterations:
 +
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --MCMC --chains 3 --iterations 50000000 --prefix your.output.prefix
 +
*To inverse Normalize the phenotype before analysis:
 +
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --inverseNormal --prefix your.output.prefix
 +
*To inverse Normalize the phenotype and then adjust covariates saved in PED/DAT file before RAREFY analysis:
 +
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --inverseNormal --useCovariates --prefix your.output.prefix
 +
*To analyze only a subset of families in the sample:
 +
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --famList your.file.with.famID --prefix your.output.prefix
 +
NOTE: although only the subset of families will be "RAREFIED", all samples saved in your.ped will be used to fit variance component model.
 +
*To analyze only one family:
 +
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --famID fam123 --prefix your.output.prefix
 +
NOTE: although only the family included in --famID will be "RAREFIED", all samples saved in your.ped will be used to fit variance component model.
 +
*To analyze only one trait saved in your.ped and your.dat file:
 +
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --traitName LDL --prefix your.output.prefix

Latest revision as of 05:08, 17 February 2015

Useful Wiki Pages

KEY FEATURES

  • RAREFY is a likelihood-based method to prioritize individuals in family AND population samples.
  • RAREFY takes account familial relatedness and allows adjusting covariates.
  • RAREFY is able to handle large and complex pedigrees.

DOWNLOAD & BUILD

Please go to DOWNLOAD PAGE for source code and executables.

INPUT FORMAT

  • RAREFY takes MERLIN format PED/DAT files as input, no MAP file is needed.
  • Input files should have pedigree information, phenotype, and covariates information (if covariates are to be adjusted) saved.

OUTPUT FORMAT

RAREFY generates output file with eight columns.

SOFTWARE INTERFACE

Options:
  Input Files : --ped [], --dat []
      Methods : --MCMC, --traitIncreasing, --traitDecreasing
        Trait : --inverseNormal, --useCovariates, --traitName []
   Parameters : --maf [1.0e-03], --effect [1.00]
         MCMC : --seed, --chains [3], --iterations [50000000]
        Other : --famList [], --famID [], --cpus [5], --prefix []

Please see RAREFY COMMAND REFERENCE for detailed description of usage, and EXAMPLES for quick examples.

EXAMPLES

  • To prioritize individuals likely to be carriers of trait-increasing rare variants:
rarefy --ped your.ped --dat your.dat --traitIncreasing --prefix your.output.prefix
  • To prioritize individuals likely to be carriers of trait-decreasing rare variants:
rarefy --ped your.ped --dat your.dat --traitDecreasing --prefix your.output.prefix
  • To prioritize individuals likely to be carriers of either trait-decreasing or trait-decreasing rare variants:
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --prefix your.output.prefix
  • To analyze families using MCMC method in 3 chains and 50000000 iterations:
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --MCMC --chains 3 --iterations 50000000 --prefix your.output.prefix
  • To inverse Normalize the phenotype before analysis:
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --inverseNormal --prefix your.output.prefix 
  • To inverse Normalize the phenotype and then adjust covariates saved in PED/DAT file before RAREFY analysis:
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --inverseNormal --useCovariates --prefix your.output.prefix
  • To analyze only a subset of families in the sample:
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --famList your.file.with.famID --prefix your.output.prefix 
NOTE: although only the subset of families will be "RAREFIED", all samples saved in your.ped will be used to fit variance component model.
  • To analyze only one family:
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --famID fam123 --prefix your.output.prefix
NOTE: although only the family included in --famID will be "RAREFIED", all samples saved in your.ped will be used to fit variance component model.
  • To analyze only one trait saved in your.ped and your.dat file:
rarefy --ped your.ped --dat your.dat --traitIncreasing --traitDecreasing --traitName LDL --prefix your.output.prefix