|  | 
 QTDT - Data FileThis file describes the pedigree file organization. Each line
in the data file includes two items, the first specifying a data
type and the second a label. Each item corresponds to a successive
column in the pedigree file. 
  
    | Code | Description |  
    | M | Marker Genotype. In the pedigree file, marker genotypes
    are encoded as two integers, separated by a tab, space or a '/'
    (forward slash). Missing values should be encoded as 0 or using
    an appropriate text label such as x or NA. |  
    | T | Trait. In the pedigree file, quantitative phenotypes are
    encoded as numbers. Missing values should be encoded with an
    appropriate text label such as x or NA, although
    a numeric value such as -99.999 may also be used. |  
    | C | Covariate. In the pedigree file, covariates are encoded
    in the same manner as quantitative phenotypes. |  
    | Z | Zygosity. In the pedigree file this column encodes twin
    status. The following codes are recommended: zero indicating
    individuals who are not twins, MZ for monozygotic twins and DZ
    for dizygotic twins. For additional details see the twins
    section. |  
    | A | Affection status. Denotes a binary disease phenotype.
    In the pedigree file, disease status is commonly coded as 0
    or x for unknown, 1 for unaffected and 2
    affected. |  
    | S[n] | Skip column. Indicates that the corresponding column in
    the pedigree file should be discarded. To ignore consecutive
    columns, the subscript n may be specified - eg, S2 ignores the
    next two columns. |  For example, if two polymorphisms in the growth hormone gene
were investigated for association to height, and if age was used
as a covariate, the corresponding data file might be:  T    HEIGHT
 M    GH1_SNP132
 M    GH1_SNP146
 C    AGE The pedigree file might look like
this:   1000 1 0 0 1  1.87  1/2 2/2  40
  1000 2 0 0 2  1.65  1/2 1/1  38
  1000 3 0 0 1  1.80  1/1 1/2  20
  1000 4 0 0 1  1.75  2/2 1/2  17
  (...) 
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