| Title |
Separation/extraction, detection, and interpretation of DNA mixtures in forensic science (review)
|
|---|---|
| Published in |
International Journal of Legal Medicine, May 2018
|
| DOI | 10.1007/s00414-018-1862-0 |
| Pubmed ID | |
| Authors |
Ruiyang Tao, Shouyu Wang, Jiashuo Zhang, Jingyi Zhang, Zihao Yang, Xiang Sheng, Yiping Hou, Suhua Zhang, Chengtao Li |
| Abstract |
Interpreting mixed DNA samples containing material from multiple contributors has long been considered a major challenge in forensic casework, especially when encountering low-template DNA (LT-DNA) or high-order mixtures that may involve missing alleles (dropout) and unrelated alleles (drop-in), among others. In the last decades, extraordinary progress has been made in the analysis of mixed DNA samples, which has led to increasing attention to this research field. The advent of new methods for the separation and extraction of DNA from mixtures, novel or jointly applied genetic markers for detection and reliable interpretation approaches for estimating the weight of evidence, as well as the powerful massively parallel sequencing (MPS) technology, has greatly extended the range of mixed samples that can be correctly analyzed. Here, we summarized the investigative approaches and progress in the field of forensic DNA mixture analysis, hoping to provide some assistance to forensic practitioners and to promote further development involving this issue. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 17% |
| Student > Master | 15 | 16% |
| Student > Ph. D. Student | 13 | 14% |
| Researcher | 5 | 5% |
| Student > Doctoral Student | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 31 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 34% |
| Medicine and Dentistry | 6 | 7% |
| Agricultural and Biological Sciences | 5 | 5% |
| Chemistry | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 36 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2018.
All research outputs
#15,523,867
of 23,072,295 outputs
Outputs from International Journal of Legal Medicine
#975
of 2,091 outputs
Outputs of similar age
#210,451
of 330,746 outputs
Outputs of similar age from International Journal of Legal Medicine
#22
of 50 outputs
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