arrow
Return

SMART: STR Mixture Analysis and Resolution Tools

delete2025-01-01
delete0
PRE
AI
X
Xianchao Ji
池连江 cover
池连江 (Lianjiang Chi)
L
Lan Wu
J
Jianchao Chen
A
Anxin Yan
Y
Yongjiu Li
Z
Zheng Tu
J
Jian Ye
陈华 cover
陈华 (Hua Chen) *
DOI:10.1016/j.fsigen.2024.103148delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The analysis of STR mixture profiles derived from mixed DNA samples plays a critical role in criminal investigations and legal proceedings. In this article, we present SMART, a novel software developed within the fully continuous model framework to analyze STR mixture profiles. SMART incorporates the peak height model, stutter model, drop-in/drop-out model, and population genetics model, offering various functionalities such as calculating likelihood ratios (LR), resolving genotypes of individual contributors, and performing direct database searches using mixed DNA profiles. The performance of SMART was evaluated using laboratory- generated samples and the PROVEDIt dataset following the SWGDAM guidelines. The results demonstrate that SMART achieves high sensitivity, specificity, and precision. Furthermore, the software is computationally efficient, allowing for quick analysis on a desktop computer. Overall, we anticipate that SMART will serve as an invaluable tool for forensic investigations, enhancing the accuracy and reliability of criminal justice outcomes.
Keywords:
DNA interpretation
Mixture profile
Fully continuous models
Probabilistic genotyping

Journal

Forensic Science International-Genetics cover
Forensic Science International-Genetics
IF:
3.1
Papers:
2.7K
Citations:
5.8K

Organization

U
university of chinese academy of sciences, cas
Scholars:
4.1W
Papers: 3.8W
Citations: 75
C
chinese academy of sciences
Scholars:
56.1W
Papers: 44.8W
Citations: 704