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This script removes individuals suspected of being related as parent-offspring,using the output of the function, which examines the frequency of pedigree inconsistent loci, that is, those loci that are homozygotes in the parent for the reference allele, and homozygous in the offspring for the alternate allele. This condition is not consistent with any pedigree, regardless of the (unknown) genotype of the other parent. The pedigree inconsistent loci are counted as an indication of whether or not it is reasonable to propose the two individuals are in a parent-offspring relationship.


  min.rdepth = 12,
  min.reproducibility = 1,
  range = 1.5,
  method = "best",
  rm.monomorphs = FALSE,
  plot.out = TRUE,
  plot_theme = theme_dartR(),
  plot_colors = two_colors,
  save2tmp = FALSE,
  verbose = NULL



Name of the genlight object containing the SNP genotypes [required].


Minimum read depth to include in analysis [default 12].


Minimum reproducibility to include in analysis [default 1].


Specifies the range to extend beyond the interquartile range for delimiting outliers [default 1.5 interquartile ranges].


Method of selecting the individual to retain from each pair of parent offspring relationship, 'best' (based on CallRate) or 'random' [default 'best'].


If TRUE, remove monomorphic loci after filtering individuals [default FALSE].


Specify if plot is to be produced [default TRUE].


Theme for the plot. See Details for options [default theme_dartR()].


List of two color names for the borders and fill of the plots [default two_colors].


If TRUE, saves any ggplots and listings to the session temporary directory (tempdir) [default FALSE].


Verbosity: 0, silent or fatal errors; 1, begin and end; 2, progress log ; 3, progress and results summary; 5, full report [default 2, unless specified using gl.set.verbosity].


the filtered genlight object without A set of individuals in parent-offspring relationship. NULL if no parent-offspring relationships were found.


If two individuals are in a parent offspring relationship, the true number of pedigree inconsistent loci should be zero, but SNP calling is not infallible. Some loci will be miss-called. The problem thus becomes one of determining if the two focal individuals have a count of pedigree inconsistent loci less than would be expected of typical unrelated individuals. There are some quite sophisticated software packages available to formally apply likelihoods to the decision, but we use a simple outlier comparison.

To reduce the frequency of miss-calls, and so emphasize the difference between true parent-offspring pairs and unrelated pairs, the data can be filtered on read depth. Typically minimum read depth is set to 5x, but you can examine the distribution of read depths with the function and push this up with an acceptable loss of loci. 12x might be a good minimum for this particular analysis. It is sensible also to push the minimum reproducibility up to 1, if that does not result in an unacceptable loss of loci. Reproducibility is stored in the slot @other$loc.metrics$RepAvg and is defined as the proportion of technical replicate assay pairs for which the marker score is consistent. You can examine the distribution of reproducibility with the function

Note that the null expectation is not well defined, and the power reduced, if the population from which the putative parent-offspring pairs are drawn contains many sibs. Note also that if an individual has been genotyped twice in the dataset, the replicate pair will be assessed by this script as being in a parent-offspring relationship.

You should run before filtering. Use this report to decide min.rdepth and min.reproducibility and assess impact on your dataset.

Note that if your dataset does not contain RepAvg or rdepth among the locus metrics, the filters for reproducibility and read depth are no used.

Function's output

Plots and table are saved to the temporal directory (tempdir) and can be accessed with the function gl.print.reports and listed with the function gl.list.reports. Note that they can be accessed only in the current R session because tempdir is cleared each time that the R session is closed.

Examples of other themes that can be used can be consulted in


Custodian: Arthur Georges -- Post to


out <- gl.filter.parent.offspring([1:10,1:50])
#> Starting gl.filter.parent.offspring 
#>   Processing genlight object with SNP data
#>   Warning: data include loci that are scored NA across all individuals.
#>   Consider filtering using gl <- gl.filter.allna(gl)
#>   Generating null expectation for distribution of counts of 
#>                 pedigree incompatibility

#>   Identifying outliers with lower than expected counts of 
#>                 pedigree inconsistencies
#>   Identifying outlying pairs
#> No individuals were found to be in parent offspring 
#>                     relationship, therefore the genlight object is returned
#>                     unchanged.

#> Completed: gl.filter.parent.offspring