GWAMA(1)


NAME

   GWAMA - Genome-Wide Association Meta Analysis

SYNOPSIS

   GWAMA [options]

DESCRIPTION

   GWAMA  (Genome-Wide  Association Meta Analysis) software performs meta-
   analysis of the results  of  GWA  studies  of  binary  or  quantitative
   phenotypes.  Fixed-  and  random-effect meta-analyses are performed for
   both directly genotyped and imputed SNPs using estimates of the allelic
   odds ratio and 95% confidence interval for binary traits, and estimates
   of  the  allelic  effect  size  and  standard  error  for  quantitative
   phenotypes.  GWAMA  can  be  used  for  analysing  the  results  of all
   different   genetic   models   (multiplicative,   additive,   dominant,
   recessive).  The  software  incorporates  error  trapping facilities to
   identify strand alignment errors  and  allele  flipping,  and  performs
   tests of heterogeneity of effects between studies.

OPTIONS

   -i, --filelist=filename
          Specify studies' result files. Default = gwama.in

   -o, --output=fileroot
          Specify  file  root  for  output  of  analysis.  Default = gwama
          (gwama.out, gwama.gc.out)

   -r, --random
          Use random effect correction. Default = disabled

   -gc, --genomic_control
          Use genomic control for adjusting studies' result files. Default
          = disabled

   -gco, --genomic_control_output
          Use  genomic  control  on meta-analysis summary (i.e. results of
          meta- analysis are corrected for gc). Default = disabled

   -qt, --quantitative
          Select quantitative trait version (BETA and SE columns). Default
          = binary trait

   -m, --map=filename
          Select file name for marker map.

   -t, --threshold=0-1
          The  p-value  threshold  for showing direction in summary effect
          directions. Default = 1

   --no_alleles
          No allele information has been given. Expecting always the  same
          EA.

   --indel_alleles
          Allele  labes  might  contain more than single letter. No strand
          checks.

   --sex  Run gender-differentiated  and  gender-  heterogeneity  analysis
          (method described in paper Magi, Lindgren & Morris 2010). Gender
          info must be provided in filelist  file.  (second  column  after
          file names is either M or F).

   --filter
          Set  a  filtering  based on column header. It needs 3 arguments:
          column name, equation [>,<,>=,<=,==,!=], filter value.  Multiple
          filters can be set.

   --name_marker
          Alternative header to marker name col.

   --name_strand
          Alternative header to strand column.

   --name_n
          Alternative header to sample size col.

   --name_ea
          Alternative header to effect allele column.

   --name_nea
          Alternative header to non-effect allele column.

   --name_eaf
          Alternative header to effect allele frequency column.

   --name_beta
          Alternative header to beta column.

   --name_se
          Alternative header to std. err. col.

   --name_or
          Alternative header to OR column.

   --name_or_95l
          Alternative header to OR 95L column.

   --name_or_95u
          Alternative header to OR 95U column.

   -h, --help
          Print this help.

   -v, --version
          Print   GWAMA   version   number.   This  manual  page  must  be
          insufficient. Please use the help option for a quick reminder of
          the  options  of  gwama or turn to its home page with the online
          documentation or the downloadable manual.

SEE ALSO

   http://www.geenivaramu.ee/en/tools/gwama

AUTHOR

   GWAMA was written by Reedik Magi and Andrew P Morris.





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