Multi-laboratory validation of DNAxs including the statistical library DNAStatistX

被引:4
|
作者
Benschop, Corina C. G. [1 ]
Hoogenboom, Jerry [1 ]
Bargeman, Fiep [1 ]
Hovers, Pauline [1 ]
Slagter, Martin [1 ]
van der Linden, Jennifer [1 ]
Parag, Raymond [1 ]
Kruise, Dennis [2 ]
Drobnic, Katja [3 ]
Klucevsek, Gregor [3 ]
Parson, Walther [4 ,5 ]
Berger, Burkhard [4 ]
Laurent, Francois Xavier [6 ]
Faivre, Magalie [6 ]
Ulus, Ayhan [6 ]
Schneider, Peter [7 ]
Bogus, Magdalena [7 ]
Kneppers, Alexander L. J. [1 ]
Sijen, Titia [1 ]
机构
[1] Netherlands Forens Inst, Div Biol Traces, Laan Van Ypenburg 6, NL-2497 GB The Hague, Netherlands
[2] Netherlands Forens Inst, Div Digital & Biometr Traces, The Hague, Netherlands
[3] Minist Interior, Natl Forens Lab, Ljubljana, Slovenia
[4] Med Univ Innsbruck, Inst Legal Med, Innsbruck, Austria
[5] Penn State Univ, Forens Sci Program, University Pk, PA USA
[6] Inst Natl Police Sci, Ecully, France
[7] Univ Hosp Cologne, Inst Legal Med, Div Forens Mol Genet, Cologne, Germany
关键词
DNA profile interpretation; Likelihood ratio; Continuous model; Validation; DNAxs; DNAStatistX; SOFTWARE; CONTRIBUTORS;
D O I
10.1016/j.fsigen.2020.102390
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
This study describes a multi-laboratory validation of DNAxs, a DNA eXpert System for the data management and probabilistic interpretation of DNA profiles D. and its statistical library DNAStatistX to which, besides the organising laboratory, four laboratories participated. The software was modified to read multiple data formats and the study was performed prior to the release of the software to the forensic community. The first exercise explored all main functionalities of DNAxs with feedback on user-friendliness, installation and general performance. Next, every laboratory performed likelihood ratio (LR) calculations using their own dataset and a dataset provided by the organising laboratory. The organising laboratory performed LR calculations using all datasets. The datasets were generated with different STR typing kits or analysis systems and consisted of samples varying in DNA amounts, mixture ratios, number of contributors and drop-out level. Hypothesis sets had the correct, under- and over-assigned number of contributors and true and false donors as person of interest. When comparing the results between laboratories, the LRs were foremost within one unit on log10 scale. The few LR results that deviated more had differences for the parameters estimated by the optimizer within DNAStatistX. Some of these were indicated by failed iteration results, others by a failed model validation, since unrealistic hypotheses were included. When these results that do not meet the quality criteria were excluded, as is in accordance with interpretation guidelines, none of the analyses in the different laboratories yielded a different statement in the casework report. Nonetheless, changes in software parameters were sought that minimized differences in outcomes, which made the DNAStatistX module more robust. Overall, the software was found intuitive, user-friendly and valid for use in multiple laboratories.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Effect of Population Heterogenization on the Reproducibility of Mouse Behavior: A Multi-Laboratory Study
    Richter, S. Helene
    Garner, Joseph P.
    Zipser, Benjamin
    Lewejohann, Lars
    Sachser, Norbert
    Touma, Chadi
    Schindler, Britta
    Chourbaji, Sabine
    Brandwein, Christiane
    Gass, Peter
    van Stipdonk, Niek
    van der Harst, Johanneke
    Spruijt, Berry
    Voikar, Vootele
    Wolfer, David P.
    Wuerbel, Hanno
    PLOS ONE, 2011, 6 (01):
  • [42] DISTRACTION UNDER COMPETITION: A MULTI-LABORATORY MULTIVERSE STUDY OF LIMITED CAPACITY
    Keil, Andreas
    Eidelman, Moran
    Kritzmann, Lior
    Mueller, Matthias
    Levit-Binnun, Nava
    Sabatinelli, Dean
    Boyan, Maeve
    Riels, Kierstin
    PSYCHOPHYSIOLOGY, 2021, 58 : S23 - S23
  • [43] Risk Factors for Methicillin Resistant Staphylococcus aureus: A Multi-Laboratory Study
    Catry, Boudewijn
    Latour, Katrien
    Jans, Beatrice
    Vandendriessche, Stien
    Preal, Ragna
    Mertens, Karl
    Denis, Olivier
    PLOS ONE, 2014, 9 (02):
  • [44] Multi-laboratory experiment PME11 for the standardization of phosphoproteome analysis
    Colome, Nuria
    Abian, Joaquin
    Aloria, Kerman
    Arizmendi, Jesus M.
    Barcelo-Batllori, Silvia
    Braga-Lagache, Sophie
    Burlet-Schiltz, Odile
    Carrascal, Montse
    Ignacio Casal, J.
    Chicano-Galvez, Eduard
    Chiva, Cristina
    Felipe Clemente, Luis
    Elortza, Felix
    Estanyol, Josep M.
    Fernandez-Irigoyen, Joaquin
    Fernandez-Puente, Patricia
    Jose Fidalgo, Maria
    Froment, Carine
    Fuentes, Manuel
    Fuentes-Almagro, Carlos
    Gay, Marina
    Hainard, Alexandre
    Heller, Manfred
    Luisa Hernandez, Maria
    Ibarrola, Nieves
    Iloro, Ibon
    Kieselbach, Thomas
    Lario, Antonio
    Locard-Paulet, Marie
    Marina-Ramirez, Anabel
    Martin, Luna
    Morato-Lopez, Esperanza
    Munoz, Javier
    Navajas, Rosana
    Odena, M. Antonia
    Odriozola, Leticia
    de Oliveira, Eliandre
    Paradela, Alberto
    Pasquarello, Carla
    de los Rios, Vivian
    Ruiz-Romero, Cristina
    Sabido, Eduard
    Sanchez del Pino, Manuel
    Sancho, Jaime
    Santamaria, Enrique
    Schaeffer-Reiss, Christine
    Schneider, Justine
    de la Torre, Carolina
    Valero, M. Luz
    Vilaseca, Marta
    JOURNAL OF PROTEOMICS, 2022, 251
  • [46] MULTI-LABORATORY EVALUATION OF AN AUTOMATED MICROBIAL DETECTION-IDENTIFICATION SYSTEM
    SMITH, PB
    GAVAN, TL
    ISENBERG, HD
    SONNENWIRTH, A
    TAYLOR, WI
    WASHINGTON, JA
    BALOWS, A
    JOURNAL OF CLINICAL MICROBIOLOGY, 1978, 8 (06) : 657 - 666
  • [47] Platelet storage solution effects on the accuracy of laboratory tests for platelet function: a multi-laboratory study
    VandenBroeke, T
    Dumont, LJ
    Hunter, S
    Nixon, J
    Murphy, S
    Roger, J
    Herschel, L
    AuBuchon, JP
    Gulliksson, H
    Dengler, T
    Hornsey, V
    Prowse, C
    VOX SANGUINIS, 2004, 86 (03) : 183 - 188
  • [48] Matrix extension and multi-laboratory validation of the US Food and Drug Administration method EAM 4.10 to include arsenic speciation in wine
    Wilson, Robert
    Tanabe, Courtney
    Hopfer, Helene
    Ebeler, Susan
    Nelson, Jenny
    Conklin, Sean
    Kubachka, Kevin
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 253
  • [49] Multi-laboratory validation of SkinEthic HCE test method for testing serious eye damage/eye irritation using liquid chemicals
    Alepee, N.
    Leblanc, V.
    Adriaens, E.
    Grandidier, M. H.
    Lelievre, D.
    Meloni, M.
    Nardelli, L.
    Roper, C. S.
    Santirocco, E.
    Toner, F.
    Van Rompay, A.
    Vinall, J.
    Cotovio, J.
    TOXICOLOGY IN VITRO, 2016, 31 : 43 - 53
  • [50] Cosmetics Europe multi-laboratory pre-validation of the EpiOcular™ reconstituted human tissue test method for the prediction of eye irritation
    Pfannenbecker, U.
    Bessou-Touya, S.
    Faller, C.
    Harbell, J.
    Jacob, T.
    Raabe, H.
    Tailhardat, M.
    Alepee, N.
    De Smedt, A.
    De Wever, B.
    Jones, P.
    Kaluzhny, Y.
    Le Varlet, B.
    McNamee, P.
    Marrec-Fairley, M.
    Van Goethem, F.
    TOXICOLOGY IN VITRO, 2013, 27 (02) : 619 - 626