Decreased accuracy of forensic DNA mixture analysis for groups with lower genetic diversity.

Autor:	Flores M; San Francisco State University; Department of Biology; San Francisco, CA, 94132, USA.; University of California, Los Angeles; Department of Molecular, Cell and Developmental Biology; Los Angeles, CA, 90095, USA., Ly C; San Francisco State University; Department of Biology; San Francisco, CA, 94132, USA., Ho E; San Francisco State University; Department of Biology; San Francisco, CA, 94132, USA., Ceberio N; San Francisco State University; Department of Biology; San Francisco, CA, 94132, USA., Felix K; San Francisco State University; Department of Biology; San Francisco, CA, 94132, USA., Thorner HM; George Washington University; Department of Forensic Sciences - Forensic Molecular Biology; Washington, DC, 20007, USA., Guardado M; University of California, San Francisco; Biological and Medical Informatics Graduate Program; San Francisco CA, 94143, USA., Paunovich M; San Francisco State University; Department of Biology; San Francisco, CA, 94132, USA., Godek C; San Francisco State University; Department of Mathematics; San Francisco, CA, 94132, USA., Kalaydjian C; San Francisco State University; Department of Mathematics; San Francisco, CA, 94132, USA., Rohlfs R; San Francisco State University; Department of Biology; San Francisco, CA, 94132, USA.; University of Oregon; Department of Data Science; Eugene, OR, 97403, USA.
Jazyk:	angličtina
Zdroj:	BioRxiv : the preprint server for biology [bioRxiv] 2023 Sep 14. Date of Electronic Publication: 2023 Sep 14.
DOI:	10.1101/2023.08.25.554311
Abstrakt:	Forensic investigation of DNA samples from multiple contributors has become commonplace. These complex analyses use statistical frameworks accounting for multiple levels of uncertainty in allelic contributions from different individuals, particularly for samples containing few molecules of DNA. These methods have been thoroughly tested along some axes of variation, but less attention has been paid to accuracy across human genetic variation. Here, we quantify the accuracy of DNA mixture analysis over 244 human groups. We find higher false inclusion rates for mixtures with more contributors, and for groups with lower genetic diversity. Even for two-contributor mixtures where one contributor is known and the reference group is correctly specified, false inclusion rates are 1e-5 or higher for 56 out of 244 groups. This means that, depending on multiple testing, some false inclusions may be expected. These false positives could be lessened with more selective and conservative use of DNA mixture analysis. Competing Interests: DECLARATION OF INTERESTS The authors declare no competing interests.
Databáze:	MEDLINE
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