Evidence map›Paper›PMID 38674444›Full record

ArticleGenes2024

Biogeographical Ancestry Analyses Using the ForenSeq

Nina Mjølsnes Salvo, Gunn-Hege Olsen, Thomas Berg, Kirstin Janssen

Open access · goldAbstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Ancestry estimation: Methodological evolution and forensic implications.Forensic science, medicine, and pathology · 2026
    Review
  2. Article
  3. Article
  4. Review
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

4 authors at 1 institution in 1 country.

Nina Mjølsnes SalvoCentre for Forensic Genetics, Department of Medical Biology, Faculty of Health Sciences, UiT The Arctic University of Norway, Post Box 6050, 9037 Tromsø, Norway.ORCID 0000-0002-3336-1019
Gunn-Hege OlsenCentre for Forensic Genetics, Department of Medical Biology, Faculty of Health Sciences, UiT The Arctic University of Norway, Post Box 6050, 9037 Tromsø, Norway.ORCID 0000-0002-8138-3132
Thomas BergCentre for Forensic Genetics, Department of Medical Biology, Faculty of Health Sciences, UiT The Arctic University of Norway, Post Box 6050, 9037 Tromsø, Norway.
Kirstin JanssenCentre for Forensic Genetics, Department of Medical Biology, Faculty of Health Sciences, UiT The Arctic University of Norway, Post Box 6050, 9037 Tromsø, Norway.
UiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inference of biogeographical ancestry (BGA) can assist in police investigations of serious crime cases and help to identify missing people and victims of mass disasters. In this study, we evaluated the typing performance of 56 ancestry-informative SNPs in 177 samples using the ForenSeq™ DNA Signature Prep Kit on the MiSeq FGx system. Furthermore, we compared the prediction accuracy of the tools Universal Analysis Software v1.2 (UAS), the FROG-kb, and GenoGeographer when inferring the ancestry of 503 Europeans, 22 non-Europeans, and 5 individuals with co-ancestry. The kit was highly sensitive with complete aiSNP profiles in samples with as low as 250pg input DNA. However, in line with others, we observed low read depth and occasional drop-out in some SNPs. Therefore, we suggest not using less than the recommended 1ng of input DNA. FROG-kb and GenoGeographer accurately predicted both Europeans (99.6% and 91.8% correct, respectively) and non-Europeans (95.4% and 90.9% correct, respectively). The UAS was highly accurate when predicting Europeans (96.0% correct) but performed poorer when predicting non-Europeans (40.9% correct). None of the tools were able to correctly predict individuals with co-ancestry. Our study demonstrates that the use of multiple prediction tools will increase the prediction accuracy of BGA inference in forensic casework.

Indexed as

DNA FingerprintingPolymorphism, Single NucleotideDNAEuropeForensic GeneticsGenetics, PopulationHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASoftwareWhite PeopleDNAbiogeographical ancestryforensic geneticsgenetic predictiongenotyping performancehuman populationsmassively parallel sequencing

Identifiers

PMID38674444
PMCPMC11050699
OpenAlexW4394914413

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.