7.6 years ago by
IBD estimation for small families can work very well IF the founders are genotyped. If they are typed, then you do not need frequencies from general population.
Moreover, you need to take care about the fact that most (not all) the algorithms and programs make the assumption that there is linkage equilibrium between SNPs.
The programs you are listing are rather doing IBD for datasets where there are no explicit familial relationships - in fact I think most if not all do not use these relationships in their calculations. In this case, you need to estimate an average IBD on the whole population and you are better off with larger dataset because you can estimate allele frequencies. Which in turn improve a lot IBD estimation.
Programs like IBDLD can take, as input, training sets (typically 1000 Genomes individuals typed for the same SNPs as your families) to infer allele frequencies and LD and apply this to your data. This can be a solution (provided your 1000 G individuals are ethnically cloe enough of your families members.
This IBDLD method can use both explicit and estimated familial relationships. I am not advertising this method, but find it to be pretty flexible.
If you would like a more detailed and elaborate answer, could you please describe more what you'd like to do ? Do you have genome wide data ? Do you want to use all the SNPs (so SNPs in LD) ? Do you want to estimate IBD within families or even between individuals from different families ...