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. 2015 Oct 8;26(9-10):486–500. doi: 10.1007/s00335-015-9603-x

Table 1.

Parameters that may be specified in linkage explorer

Parameter Notes
Single or double locus analysis
Gene Will return all phenotypes linked to mutations of the specified gene(s), along with associated P values
Phenotypic screen When specified, will return mutations linked to the phenotype(s) tested in the specified screen(s)
Pedigree or mouse/mice Will return all genotype–phenotype associations identified in the specified pedigree or the pedigree of which the specified mouse (mice) is (are) part, along with associated P values. Named according to eartag of G1 male founder
Total mouse numbers Will restrict linkage analysis to pedigrees containing a specified range or number of G3 mice
Allele name (phenotype) Will return all mutations linked to the specified phenotype, along with associated P values
Mutation type Will restrict linkage analysis to the specified mutation type(s): nonsense, missense, makesense, critical splicing, noncritical splicing
Predicted effect of mutation Will restrict linkage analysis to the specified mutation effect: probably null (corresponds to nonsense and critical splicing mutations); or probably damaging, possibly damaging, probably benign as determined by PolyPhen-2
P value cutoff Will display genotype–phenotype associations with P (non-linkage) ≤ the value specified; Bonferroni correction may be applied
Minimum number of HET or VAR mice screened Will return genotype–phenotype associations tested with at least the specified number of HET (heterozygous) or VAR (homozygous mutant) mice
‘Raw + Norm’ switch When applied, enforces P value cutoff for both raw and normalized datasets. Otherwise, enforces P value cutoff for either raw or normalized datasets
Direction of phenovariance Quantitative phenotype scores either higher than or lower than wild type scores
Number of linkage peaks Will return genotype–phenotype associations for which a specified number of linkage peaks exceed the specified −log10[P(non-linkage)] in the Manhattan plot for recessive, dominant or additive models of linkage. This parameter is useful for filtering results to show only strong, unambiguous genotype–phenotype associations
Date of data collection