Abstract：
:We present an axiomatic approach for multilocus informativeness measures for determining the amount of information that a set of polymorphic genetic markers provides about individual ancestry. We then reveal several surprising properties of a decision-theoretic based measure that is consistent with the set of proposed criteria for multilocus informativeness. In particular, these properties highlight the interplay between information originating from population priors and the information extractable from the population genetic variants. This analysis then reveals a certain deficiency of mutual information based multilocus informativeness measures when such population priors are incorporated. Finally, we analyse and quantify the inevitable inherent decrease in informativeness due to learning from finite population samples.
journal_name
Math Bioscijournal_title
Mathematical biosciencesauthors
Tal O,Tran TDdoi
10.1016/j.mbs.2018.10.011subject
Has Abstractpub_date
2018-12-01 00:00:00pages
60-81eissn
0025-5564issn
1879-3134pii
S0025-5564(18)30164-0journal_volume
306pub_type
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