Empirical validation of a family-member prioritization approach to maximize statistical power in missing person cases

Published:October 21, 2022DOI:


      In order to prioritize the exhumation of the most informative reference relatives to increase the statistical power of a reference group, a conditional simulation approach for missing person identification that combines both exclusion and inclusion power in reference families has been previously developed. The aim of this study is to empirically validate this approach by comparing its predicted theoretical prioritization model with the observed changes in statistical power in real cases of our laboratory, in which new relatives had already been added. We conclude that this approach is a reliable tool to choose the most appropriate reference relatives to complete a family group and improve the identification power of a Missing Person (MP).


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        • Penchaszadeh V.B.
        Genetic testing to restore the human right to identity in post-dictatorship Argentina: ethical, legal, and social issues.
        Am. J. Med. Genet C Semin. Med. Genet. 2021; 187 (Sep): 329-336
        • Kling D.
        • Egeland T.
        • Herrera Piñero M.
        • et al.
        Evaluating the statistical power of DNA-based identification, exemplified by ‘The missing grandchildren of Argentina’.
        Forensic Sci. Int. Genet. 2017; 31 (ISSN 1872-4973): 57-66
        • Vigeland M.D.
        • Marsico F.L.
        • Herrera Piñero M.
        • et al.
        Prioritizing family members for genotyping in missing person cases: a general approach combining the statistical power of exclusion and inclusion.
        Forensic Sci. Int. Genet. 2020; 49
      1. N. Furman, M. Canteros, L. Rabitti, et al., Population Genetic Data and forensic statistical parameters of 23 autosomal markers in Argentina, ISFG 28th International Congress, 2019 ­ Prague, Czech Republic.

      2. Magnus Dehli Vigeland, Pedigree Analysis in R, Academic Press (Ed.), 2021, ISBN 9780128244302.