Evidence map›Paper›PMID 28101646›Full record

ArticleInternational journal of legal medicine2017

Pedigree-based relationship inference from complex DNA mixtures.

Guro Dørum, Navreet Kaur, Mario Gysi

Registry-linked trialAbstract read
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In one paragraph

Article in International journal of legal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06924697 (Effect of Glucagon-like Peptide-1), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT06924697 naenrolling by invitationstarted 2025, after this paper: background citation

Effect of Glucagon-like Peptide-1 (GLP-1) Receptor Agonist Stimulation on Smoking Consumption in Type 2 Diabetes Patients: Study Protocol of a Randomized, Parallel -Controlled Clinical Trial

Ran2025Enrolled46Registered outcomes6Posted comparisons0ConditionsDiabetes Mellitus, Type 2, Nicotine Dependence, CigarettesArmsApplication of GLP-1RAs drugs, DPP-4i group
Open the trial in the graph
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Noninvasive Prenatal Paternity Testing: A Review on Genetic Markers.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Observational
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

3 authors.

Guro DørumZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland. guro.dorum@irm.uzh.ch.
Navreet KaurDepartment of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Aas, Norway.
Mario GysiZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a general method for analysing DNA mixtures involving relatives that accounts for dropout and drop-in, mutations, silent alleles and population substructure. Whether the aim is to identify the contributors to a mixture who may be related, or to determine the relationship between individuals based on a DNA mixture, both types of problems can be handled by the method and software presented here. We focus on the latter scenario, motivated by non-invasive prenatal paternity testing where the profile of the child is available only in the form of a mixture with the mother's profile. Relationships are represented by pedigrees and can include kinship between more than two individuals. The software is freely available as a graphical user interface in the R package relMix.

Indexed as

PaternityPedigreeDNADNA FingerprintingFemaleGene FrequencyGenotypeHumansLikelihood FunctionsMaleModels, GeneticSoftwareDNADNA mixturesDrop-inDropoutKinshipLikelihood ratioMutationsNGSNon-invasive prenatal paternity testing

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

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.