Evidence map›Paper›PMID 29370748›Full record

ArticleBMC genomics2018

A SNP panel for identification of DNA and RNA specimens.

Soheil Yousefi, Tooba Abbassi-Daloii, Thirsa Kraaijenbrink, Martijn Vermaat, Hailiang Mei, Peter van 't Hof, Maarten van Iterson, Daria V Zhernakova, Annique Claringbould, Lude Franke and 6 more

Open access · goldAbstract readTwin Study
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 78 citations in OpenAlex.

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  19. Identifying individuals using proteomics: are we there yet?Frontiers in molecular biosciences · 2022
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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

16 authors at 4 institutions in 1 country.

Soheil YousefiDepartment of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Tooba Abbassi-DaloiiDepartment of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Thirsa KraaijenbrinkDepartment of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Martijn VermaatDepartment of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Hailiang MeiSequencing Analysis Support Core, Leiden University Medical Center, Leiden, The Netherlands.
Peter van 't HofSequencing Analysis Support Core, Leiden University Medical Center, Leiden, The Netherlands.
Maarten van ItersonMolecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands.
Daria V ZhernakovaDepartment of Genetics, University Medical Centre Groningen, Groningen, The Netherlands.
Annique ClaringbouldDepartment of Genetics, University Medical Centre Groningen, Groningen, The Netherlands.
Lude FrankeDepartment of Genetics, University Medical Centre Groningen, Groningen, The Netherlands.
Leen M 't HartMolecular Epidemiology Section, Leiden University Medical Center, Leiden, The Netherlands.
Roderick C SliekerDepartment of Molecular Cell Biology, Leiden University Medical Center, Leiden, The Netherlands.
Amber van der HeijdenDepartment of Epidemiology and Biostatistics, VU Medical Center, Amsterdam, The Netherlands.
Peter de KnijffDepartment of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
BIOS consortium
Peter A C 't HoenDepartment of Human Genetics, Leiden University Medical Center, Postzone S4-P, PO Box 9600, 2300 RC, Leiden, The Netherlands. p.a.c.hoen@lumc.nl.ORCID 0000-0003-4450-3112
Leiden University Medical Center · NLUniversity Medical Center Groningen · NLAmsterdam UMC Location Vrije Universiteit Amsterdam · NLRadboud University Nijmegen · NL

Funding

The Netherlands Organization for Scientific Research 184.021.007
6 · The paper itself

Abstract

backgroundSNP panels that uniquely identify an individual are useful for genetic and forensic research. Previously recommended SNP panels are based on DNA profiles and mostly contain intragenic SNPs. With the increasing interest in RNA expression profiles, we aimed for establishing a SNP panel for both DNA and RNA-based genotyping.

resultsTo determine a small set of SNPs with maximally discriminative power, genotype calls were obtained from DNA and blood-derived RNA sequencing data belonging to healthy, geographically dispersed, Dutch individuals. SNPs were selected based on different criteria like genotype call rate, minor allele frequency, Hardy-Weinberg equilibrium and linkage disequilibrium. A panel of 50 SNPs was sufficient to identify an individual uniquely: the probability of identity was 6.9 × 10

conclusionsThis first DNA/RNA SNP panel will be useful to identify sample mix-ups in biomedical research and for assigning DNA and RNA stains in crime scenes to unique individuals.

Indexed as

Genetics, PopulationPolymorphism, Single NucleotideDNADNA FingerprintingEthnicityGene FrequencyGenetic TestingGenotypeHigh-Throughput Nucleotide SequencingHumansIndividualityLinkage DisequilibriumPatient Identification SystemsRNADNARNABiobankingForensicsGenetic variationMix up samplesSample tracking

Identifiers

PMID29370748
PMCPMC5785835
OpenAlexW2784882604

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.