Evidence map›Paper›PMID 30055432›Full record

ArticleForensic science international. Genetics2018

Simplification of complex DNA profiles using front end cell separation and probabilistic modeling.

Nancy A Stokes, Cristina E Stanciu, Emily R Brocato, Christopher J Ehrhardt, Susan A Greenspoon

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Forensic science international. Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Nancy A StokesDepartment of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA, 23284, United States.
Cristina E StanciuDepartment of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA, 23284, United States.
Emily R BrocatoDepartment of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA, 23284, United States.
Christopher J EhrhardtDepartment of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA, 23284, United States. Electronic address: cehrhardt@vcu.edu.
Susan A GreenspoonVirginia Department of Forensic Science, 700 N. 5th St, Richmond, VA, 23219, United States.
Virginia Commonwealth University · USVirginia Department of Forensic Science · US

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Keri R Maher · 1985 to 2026
$51.0M
NCI NIH HHS P30 CA016059
6 · The paper itself

Abstract

Forensic samples comprised of cell populations from multiple contributors often yield DNA profiles that can be extremely challenging to interpret. This frequently results in decreased statistical strength of an individual's association to the mixture and the loss of probative data. The purpose of this study was to test a front-end cell separation workflow on complex mixtures containing as many as five contributors. Our approach involved selectively labelling certain cell populations in dried whole blood mixture samples with fluorescently labeled antibody probe targeting the HLA-A*02 allele, separating the mixture using Fluorescence Activated Cell Sorting (FACS) into two fractions that are enriched in A*02 positive and A*02 negative cells, and then generating DNA profiles for each fraction. We then tested whether antibody labelling and cell sorting effectively reduced the complexity of the original cell mixture by analyzing STR profiles quantitatively using the probabilistic modeling software, TrueAllele

Indexed as

Cell SeparationFlow CytometryModels, StatisticalAntibodiesBlood Chemical AnalysisDNADNA FingerprintingFluorescenceHumansMicrosatellite RepeatsMolecular ProbesReal-Time Polymerase Chain ReactionAntibodiesDNAMolecular ProbesCell separationDNA mixturesFlow cytometryProbabilistic modelingTrueAllele

Identifiers

PMID30055432
PMCPMC6120788
OpenAlexW2884546120

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.