Description Usage Arguments Details Value See Also Examples
View source: R/study_seq_methods.R
Summary function for objects of class famStudy, i.e. objects returned by the sim_RVstudy function.
1 2  | 
object | 
 An object of class   | 
... | 
 additional arguments passed to other methods.  | 
The summary.famStudy function returns a list containing two items.  The first item, fam_allele _count, is a matrix that contains counts of the SNVs shared by the disease-affected relatives in each pedigree. This matrix will contain a row of counts for each pedigree in the supplied famSutdy object.  The first column in fam_allele_count is named FamID and identifies each pedigree by their family identification number.  The remaining columns in fam_allele_count are named according to the respective marker names of the shared SNVs.
The second item returned by summary.famStudy is a data frame named pathway_count, which catalogs the SNVs shared among disease-affected study participants.  This data frame contains the following variables:
| name | type | description | 
chrom  | numeric | chromosome identification number | 
position  | numeric | the position of the SNV | 
marker  | character | a unique character identifier for the SNV | 
total  | numeric | the number of SNV copies observed in disease-affected study participants. | 
is_crv  | logical |   identifies causal rare variants (cRVs) as TRUE  | 
pathwaySNV  | logical |  identifies SNVs located within the pathway of interest as TRUE.  | 
Please note, the variable pathwaySNV is omitted when missing from the SNV_map data frame in the famStudy object. See sim_RVstudy for more details.
 | 
 A matrix that contains counts of the SNVs shared by the disease-affected relatives in each pedigree.  | 
 | 
 A data frame that catalogs the SNVs shared among disease-affected study participants. See details.  | 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21  | library(SimRVSequences)
# load pedigree, haplotype, and mutation data
data(study_peds)
data(EXmuts)
data(EXhaps)
# create variable is_CRV in EXmuts to identify the causal
# rare variants from which to sample familial cRVs.
EXmuts$is_CRV = FALSE
EXmuts$is_CRV[c(26, 139, 223, 228, 472)] = TRUE
# supply required inputs to the sim_RVstudy function
seqDat = sim_RVstudy(ped_files = study_peds,
                     SNV_data = SNVdata(Haplotypes = EXhaps,
                                        Mutations = EXmuts))
# to count the number of SNVs shared by the disease-affected
# relatives in each pedigree, supply the output returned by
# sim_RVstudy to the summary function
summary(seqDat)
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