Evidence map›Paper›PMID 26544036›Full record

ArticlePloS one2015

The Paternal Landscape along the Bight of Benin - Testing Regional Representativeness of West-African Population Samples Using Y-Chromosomal Markers.

Maarten H D Larmuseau, Andrea Vessi, Mark A Jobling, Anneleen Van Geystelen, Giuseppina Primativo, Gianfranco Biondi, Cristina Martínez-Labarga, Claudio Ottoni, Ronny Decorte, Olga Rickards

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

10 authors.

Maarten H D LarmuseauKU Leuven, Forensic Biomedical Sciences, Department of Imaging & Pathology, Leuven, Belgium.
Andrea VessiKU Leuven, Forensic Biomedical Sciences, Department of Imaging & Pathology, Leuven, Belgium.
Mark A JoblingUniversity of Leicester, Department of Genetics, Leicester, United Kingdom.
Anneleen Van GeystelenKU Leuven, Laboratory of Socioecology and Social Evolution, Department of Biology, Leuven, Belgium.
Giuseppina PrimativoUniversity of Rome Tor Vergata, Department of Biology, Rome, Italy.
Gianfranco BiondiUniversity of L'Aquila, Department of Clinical Medicine, Public Health, Life and Environment, L'Aquila, Italy.
Cristina Martínez-LabargaUniversity of Rome Tor Vergata, Department of Biology, Rome, Italy.
Claudio OttoniKU Leuven, Forensic Biomedical Sciences, Department of Imaging & Pathology, Leuven, Belgium.
Ronny DecorteKU Leuven, Forensic Biomedical Sciences, Department of Imaging & Pathology, Leuven, Belgium.
Olga RickardsUniversity of Rome Tor Vergata, Department of Biology, Rome, Italy.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Patterns of genetic variation in human populations across the African continent are still not well studied in comparison with Eurasia and America, despite the high genetic and cultural diversity among African populations. In population and forensic genetic studies a single sample is often used to represent a complete African region. In such a scenario, inappropriate sampling strategies and/or the use of local, isolated populations may bias interpretations and pose questions of representativeness at a macrogeographic-scale. The non-recombining region of the Y-chromosome (NRY) has great potential to reveal the regional representation of a sample due to its powerful phylogeographic information content. An area poorly characterized for Y-chromosomal data is the West-African region along the Bight of Benin, despite its important history in the trans-Atlantic slave trade and its large number of ethnic groups, languages and lifestyles. In this study, Y-chromosomal haplotypes from four Beninese populations were determined and a global meta-analysis with available Y-SNP and Y-STR data from populations along the Bight of Benin and surrounding areas was performed. A thorough methodology was developed allowing comparison of population samples using Y-chromosomal lineage data based on different Y-SNP panels and phylogenies. Geographic proximity turned out to be the best predictor of genetic affinity between populations along the Bight of Benin. Nevertheless, based on Y-chromosomal data from the literature two population samples differed strongly from others from the same or neighbouring areas and are not regionally representative within large-scale studies. Furthermore, the analysis of the HapMap sample YRI of a Yoruban population from South-western Nigeria based on Y-SNPs and Y-STR data showed for the first time its regional representativeness, a result which is important for standard population and forensic genetic applications using the YRI sample. Therefore, the uniquely and powerful geographical information carried by the Y-chromosome makes it an important locus to test the representativeness of a certain sample even in the genomic era, especially in poorly investigated areas like Africa.

Indexed as

FathersBeninChromosomes, Human, YGenetic MarkersGenomicsGenotyping TechniquesHaplotypesHumansMaleMicrosatellite RepeatsPolymorphism, Single NucleotideGenetic Markers

Identifiers

PMID26544036
PMCPMC4636292

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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.