Forensic Science International: Genetics 2021; 54:102519 pp. 1-8 (DOI: 10.1016/j.fsigen.2021.102519) Making decisions in missing person identification cases with low statistical power Franco L. Marsico 1, *, Magnus D. Vigeland 2 , Thore Egeland 3 and Mariana Herrera Piñero 4 1 Banco Nacional de Datos Genéticos, Avda. Córdoba 831, C1054AAH-CABA, Argentina. Email: franco.lmarsico@gmail.com 2 Department of Medical Genetics, University of Oslo, PB 4956 Nydalen, 0424 Oslo, Norway. Email: magnusdv@medisin.uio.no 3 Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Chr. M Falsens vei 1, 1433 Aas, Norway. Email: thore.egeland@nmbu.no 4 Banco Nacional de Datos Genéticos, Avda. Córdoba 831, C1054AAH-CABA, Argentina. Email: mherrera@mincyt.gob.ar (*) Corresponding author. Highlights  General strategy for dealing with low statistical power in missing person and disaster victim identification cases.  Method for selecting a likelihood ratio (LR) threshold for identifications through DNA-database search.  Error rates estimated by conditional simulation.  Examples based on unsolved cases of ‘Missing Grandchildren of Argentina’.  Freely available software.