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The current default weights in filter_ped.py likely undervalue pedigree parents. The defaults were set fairly arbitrarily so are probably a good target for refinement anyway, but now have a clear case of where the current values may be suboptimal.
Example: Imagine cryptic relatedness between IIDs A1 and B3/B4 in the following pedigree:
FID IID Mat Pat Pheno
A A1 0 0 1
A A2 0 0 1
A A3 A1 A2 2
B B3 B1 B2 -9
B B4 B1 B2 -9
The current default weights in
filter_ped.py
likely undervalue pedigree parents. The defaults were set fairly arbitrarily so are probably a good target for refinement anyway, but now have a clear case of where the current values may be suboptimal.Example: Imagine cryptic relatedness between IIDs A1 and B3/B4 in the following pedigree:
Default weights then give:
which would result in suggesting A1 be removed. Clearly though A1 is much more informative (as a control, and as part of a trio) than B3 and B4.
Solution
Likely avenues to consider for addressing this:
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