Evidence map›Paper›PMID 35696960›Full record

ArticleForensic science international. Genetics2022

A multipurpose panel of microhaplotypes for use with STR markers in casework.

Kenneth K Kidd, Andrew J Pakstis, Neeru Gandotra, Curt Scharfe, Daniele Podini

Abstract read
In one paragraph

Article in Forensic science international. Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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.

Kenneth K KiddYale University School of Medicine, Department of Genetics, 333 Cedar Street, New Haven, CT 06520, United States. Electronic address: Kenneth.Kidd@yale.edu.
Andrew J PakstisYale University School of Medicine, Department of Genetics, 333 Cedar Street, New Haven, CT 06520, United States.
Neeru GandotraYale University School of Medicine, Department of Genetics, 333 Cedar Street, New Haven, CT 06520, United States.
Curt ScharfeYale University School of Medicine, Department of Genetics, 333 Cedar Street, New Haven, CT 06520, United States.
Daniele PodiniThe George Washington University, Department of Forensic Science, 2100 Foxhall Road, NW, Washington, DC 20007, United States.

Funding

Multiplex gene sequencing and metabolomics analysis from newborn dried blood spots to improve screening and diagnosis of metabolic disorders.R01HD102537 · NICHD · YALE UNIVERSITY · PI SCHARFE, CURT · 2020 to 2024
$3.0M
NICHD NIH HHS R01 HD102537
6 · The paper itself

Abstract

A small panel of highly informative loci that can be genotyped on the same equipment as the standard CODIS short tandem repeat (STR) markers has strong potential for application in forensic casework. Single nucleotide polymorphisms (SNPs) can be typed by a couple of methods on capillary electrophoresis (CE) machines and on sequencers, but the amount of information relative to the laboratory effort has hindered use of SNPs in actual casework. Insertion-deletion markers (InDels) suffer from similar problems. Microhaplotypes (MHs) are much more informative per locus but have similar technical difficulties unless they are typed by massively parallel sequencing (MPS). As forensic labs are acquiring sequencing machines, MHs become more likely to be used in casework, especially if multiplexed with STRs. Here we present the details of a multipurpose panel of 24 MHs with the highest effective number of alleles (A

Indexed as

DNA FingerprintingMicrosatellite RepeatsAllelesHigh-Throughput Nucleotide SequencingHumansPolymorphism, Single NucleotideSequence Analysis, DNAAncestryCODISMicrohaplotypePopulation geneticsSNPSTR

Identifiers

PMID35696960
PMCPMC11071123

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.