Evidence map›Paper›PMID 35092470›Full record

ArticleInternational journal of legal medicine2022

MaSTR™: an effective probabilistic genotyping tool for interpretation of STR mixtures associated with differentially degraded DNA.

Mitchell M Holland, Teresa M Tiedge, Abigail J Bender, Sidney A Gaston-Sanchez, Jennifer A McElhoe

Abstract read
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In one paragraph

Article in International journal of legal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  3. Article
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 4 institutions in 1 country.

Mitchell M HollandForensic Science Program, Department of Biochemistry & Molecular Biology, 339 Whitmore Laboratory, The Pennsylvania State University, University Park, PA, 16,802, USA. mmh20@psu.edu.ORCID http://orcid.org/0000-0002-4570-7080
Teresa M TiedgeDepartment of Population Health and Pathobiology, North Carolina State University, 1060 William Moore Drive, Raleigh, NC, 27,607, USA.
Abigail J BenderTexas Department of Public Safety, Austin Crime Laboratory, 5800 Guadalupe Street, Bldg U, Austin, TX, 78,752, USA.
Sidney A Gaston-SanchezArmed Forces Medical Examiner System (AFMES), Dover Air Force Base, Dover, DE , 19,902, USA.
Jennifer A McElhoeForensic Science Program, Department of Biochemistry & Molecular Biology, 339 Whitmore Laboratory, The Pennsylvania State University, University Park, PA, 16,802, USA.
Pennsylvania State University · USNorth Carolina State University · USTexas Department of Public Safety · USUniversities Research Association · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recently developed probabilistic genotyping software package MaSTR™ (SoftGenetics LLC) was used to develop statistical weight estimates for a variety of two-person STR mixture profiles with differentially degraded sources of DNA. A total of 864 analyses, on 144 two-person profiles, were performed. Mixture ratios ranged from 1:1 to 1:10, including pristine sources of DNA and various combinations of artificially degraded DNA (average size fragments of 150 or 250 bps). Quantities of DNA template were varied (0.1 to 0.5 ngs of total input) and MaSTR™ analysis was performed with eight chains of 10,000 or 40,000 iterations, with or without a conditioning profile to generate likelihood ratio (LR) values. Overall, the software performed as expected. The resulting log(LR) values for pristine mixture profiles were typically greater than 10

Indexed as

DNA FingerprintingMicrosatellite RepeatsDNAGenotypeHumansLikelihood FunctionsDNADNA degradationForensic scienceProbabilistic genotypingShort tandem repeat

Identifiers

PMID35092470
OpenAlexW4210717205

What OpenQuestion holds

Textmetadata
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.