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CalcMatch is a C/C++ software developed by Yun Li that compares two sets of pedigree files. It was initially written to compare imputed genotypes with their true/experimental counterpart but can be used to compare the concordance between any two sets of pedigree files. The input data are in standard Merlin/QTDT format (http://www.sph.umich.edu/csg/abecasis/Merlin/tour/input_files.html).
--impped --impdat specify one input pedigree set.
--trueped --truedat specify the other input pedigree set.
--match generates a matrix taking values 0,1,2 indicating # of matched alleles. The dimension of the matrix is # of overlapping individuals times # of overlapping markers of the two input pedigree sets.
--bySNP is turned on by default to generate SNP specific measures. The output .bySNP will contain the following 6 fields for each SNP:
(1) SNP : SNP name
(2) gErr : genotypic discordance rate
(3) aErr : allelic discordance rate
(4) matchedG : number of genotypes matched
(5) matchedA: number of alleles matched
(6) maskedG: total number of genotypes evaluated/masked (<=n of course) (I should change the naming to comparedG or evaluatedG)
--byGeno can be added on top of --bySNP. It will generates the following fields after the 6 fields above:
(7) hetAerr : allelic discordance rate among heterozygotes
(8) AL1: allele 1 (an arbitrary allele)
(9) AL2: allele 2
(10) freq1: frequency of AL1
(11) MAF
(12) #true 1/1: # individuals with experimental genotype AL1/AL1
(13) mm1/2: # of true AL1/AL1 being imputed as AL1/AL2
(14) mm2/2: # of true AL1/AL1 being imputed as AL2/AL2
(15) #true 1/2
(16) mm1/1
(17) mm2/2
(18) #true 2/2
(19) mm1/1
(20) mm1/2
--accuracyByGeno is an option I added most recently to represent the above (7-20) information in a different way. Similar to --byGeno, it is used on top of --bySNP. It can be used together with --byGeno. It will generate the following fields, after (7-20) is --byGeno is turned on or after the 6th field otherwise.
(A) almajor: major allele
(B) alminor: minor allele
(C) freq1: major allele frequency
(D) accuracy11: allelic concordance rate for homozygotes major allele
(E) accuracy12: allelic concordance rate for heterozygotes
(F) accuracy22: allelic concordance rate for homozygotes minor allele
--byPerson generates a separate output file .byPerson and contains the following information for each person:
(1) famid
(2) subjID
(3) gErr
(4) aErr
(5) matchedG
(6) matchedA
(7) maskedG
This --bySNP option is useful if there is potential sample swap or inter-individual difference, e.g., sequencing depth, number of markers genotyped.
CalcMatch compares all genotypes overlapping the two input sets. However, when --maskflag is turned on AND --maskped and --maskdat are specified (I know ...) it compares only the following subset of the overlapping genotypes: genotypes either not found (i.e., individual or marker not included) or missing (included but with value 0/0, N/N, ./. etc) in --maskped / --maskdat. These options are useful when some individuals were masked for some SNPs while others masked for a different set of SNPs.
--impped --impdat specify one input pedigree set.
--trueped --truedat specify the other input pedigree set.
--match generates a matrix taking values 0,1,2 indicating # of matched alleles. The dimension of the matrix is # of overlapping individuals times # of overlapping markers of the two input pedigree sets.
--bySNP is turned on by default to generate SNP specific measures. The output .bySNP will contain the following 6 fields for each SNP:
(1) SNP : SNP name
(2) gErr : genotypic discordance rate
(3) aErr : allelic discordance rate
(4) matchedG : number of genotypes matched
(5) matchedA: number of alleles matched
(6) maskedG: total number of genotypes evaluated/masked (<=n of course) (I should change the naming to comparedG or evaluatedG)
--byGeno can be added on top of --bySNP. It will generates the following fields after the 6 fields above:
(7) hetAerr : allelic discordance rate among heterozygotes
(8) AL1: allele 1 (an arbitrary allele)
(9) AL2: allele 2
(10) freq1: frequency of AL1
(11) MAF
(12) #true 1/1: # individuals with experimental genotype AL1/AL1
(13) mm1/2: # of true AL1/AL1 being imputed as AL1/AL2
(14) mm2/2: # of true AL1/AL1 being imputed as AL2/AL2
(15) #true 1/2
(16) mm1/1
(17) mm2/2
(18) #true 2/2
(19) mm1/1
(20) mm1/2
--accuracyByGeno is an option I added most recently to represent the above (7-20) information in a different way. Similar to --byGeno, it is used on top of --bySNP. It can be used together with --byGeno. It will generate the following fields, after (7-20) is --byGeno is turned on or after the 6th field otherwise.
(A) almajor: major allele
(B) alminor: minor allele
(C) freq1: major allele frequency
(D) accuracy11: allelic concordance rate for homozygotes major allele
(E) accuracy12: allelic concordance rate for heterozygotes
(F) accuracy22: allelic concordance rate for homozygotes minor allele
--byPerson generates a separate output file .byPerson and contains the following information for each person:
(1) famid
(2) subjID
(3) gErr
(4) aErr
(5) matchedG
(6) matchedA
(7) maskedG
This --bySNP option is useful if there is potential sample swap or inter-individual difference, e.g., sequencing depth, number of markers genotyped.
CalcMatch compares all genotypes overlapping the two input sets. However, when --maskflag is turned on AND --maskped and --maskdat are specified (I know ...) it compares only the following subset of the overlapping genotypes: genotypes either not found (i.e., individual or marker not included) or missing (included but with value 0/0, N/N, ./. etc) in --maskped / --maskdat. These options are useful when some individuals were masked for some SNPs while others masked for a different set of SNPs.
