Evidence map›Paper›PMID 27082756›Full record

ArticleForensic science international. Genetics2016

Population-specific FST values for forensic STR markers: A worldwide survey.

John Buckleton, James Curran, Jérôme Goudet, Duncan Taylor, Alexandre Thiery, B S Weir

Abstract read
In one paragraph

Article in Forensic science international. Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 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

6 authors.

John BuckletonEnvironmental and Scientific Research Ltd., Auckland, New Zealand; National Institute of Standards and Technology, Gaithersburg, MD, USA.
James CurranDepartment of Statistics, University of Auckland, Auckland, New Zealand.
Jérôme GoudetDepartment of Ecology and Evolution, UNIL-Sorge, Lausanne, Switzerland.
Duncan TaylorForensic Science South Australia, Adelaide, SA, Australia; School of Biological Sciences, Flinders University, Adelaide, SA, Australia.
Alexandre ThieryBioinformatics Core Facility, Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
B S WeirDepartment of Biostatistics, University of Washington, Seattle, WA, USA.

Funding

Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2012 to 2016
$7.3M
NIGMS NIH HHS P01 GM099568
6 · The paper itself

Abstract

The interpretation of matching between DNA profiles of a person of interest and an item of evidence is undertaken using population genetic models to predict the probability of matching by chance. Calculation of matching probabilities is straightforward if allelic probabilities are known, or can be estimated, in the relevant population. It is more often the case, however, that the relevant population has not been sampled and allele frequencies are available only from a broader collection of populations as might be represented in a national or regional database. Variation of allele probabilities among the relevant populations is quantified by the population structure quantity FST and this quantity affects matching proportions. Matching within a population can be interpreted only with respect to matching between populations and we show here that FST, can be estimated from sample allelic matching proportions within and between populations. We report such estimates from data we extracted from 250 papers in the forensic literature, representing STR profiles at up to 24 loci from nearly 500,000 people in 446 different populations. The results suggest that theta values in current forensic use do not have the buffer of conservatism often thought.

Indexed as

DNA FingerprintingGene FrequencyGenetic MarkersGenetics, PopulationMicrosatellite RepeatsHumansPrincipal Component AnalysisProbability TheoryRacial GroupsGenetic MarkersCoancestryForensic DNASTR markerTheta

Identifiers

PMID27082756
PMCPMC4899164

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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.