Evidence map›Paper›PMID 25635682›Full record

ArticlePloS one2015

Genealogical relationships between early medieval and modern inhabitants of Piedmont.

Stefania Vai, Silvia Ghirotto, Elena Pilli, Francesca Tassi, Martina Lari, Ermanno Rizzi, Laura Matas-Lalueza, Oscar Ramirez, Carles Lalueza-Fox, Alessandro Achilli and 13 more

Open access · goldAbstract readHistorical Article
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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
18.5field-weighted citation impact, top 1% 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

13 citing papers in PubMed, 112 citations in OpenAlex.

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  9. A genetic perspective on Longobard-Era migrations.European journal of human genetics : EJHG · 2019
    Article
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  11. Article
  12. Article
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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

23 authors at 12 institutions in 3 countries.

Stefania VaiDipartimento di Biologia Evoluzionistica, Università di Firenze, 50122 Florence, Italy.
Silvia GhirottoDipartimento di Scienze della Vita e Biotecnologie, Università di Ferrara, 44121 Ferrara, Italy.
Elena PilliDipartimento di Biologia Evoluzionistica, Università di Firenze, 50122 Florence, Italy.
Francesca TassiDipartimento di Scienze della Vita e Biotecnologie, Università di Ferrara, 44121 Ferrara, Italy.
Martina LariDipartimento di Biologia Evoluzionistica, Università di Firenze, 50122 Florence, Italy.
Ermanno RizziInstitute for Biomedical Technologies, National Research Council, 20090 Segrate, Milan, Italy.
Laura Matas-LaluezaInstitut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain.
Oscar RamirezInstitut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain.
Carles Lalueza-FoxInstitut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain.
Alessandro AchilliDipartimento di Chimica, Biologia e Biotecnologie, Università di Perugia, 06123 Perugia, Italy.
Anna OlivieriDipartimento di Biologia e Biotecnologie "L. Spallanzani", Università di Pavia, 27100,Pavia,Italy.
Antonio TorroniDipartimento di Biologia e Biotecnologie "L. Spallanzani", Università di Pavia, 27100,Pavia,Italy.
Hovirag LancioniDipartimento di Chimica, Biologia e Biotecnologie, Università di Perugia, 06123 Perugia, Italy.
Caterina GiostraDipartimento di Storia, Archeologia e Storia dell'arte, Università Cattolica del Sacro Cuore, 20123 Milano, Italy.
Elena BediniAnthropozoologica L.B.A. s.n.c., 57123 Livorno, Italy.
Luisella Pejrani BariccoSoprintendenza per i Beni Archeologici del Piemonte, 10122 Turin, Italy.
Giuseppe MatulloHuman Genetics Foundation, 10125 Turin, Italy.
Cornelia Di GaetanoHuman Genetics Foundation, 10125 Turin, Italy.
Alberto PiazzaHuman Genetics Foundation, 10125 Turin, Italy.
Krishna VeeramahDepartment of Ecology and Evolution, State University of New York, Stony Brook, New York 11794-5245, United States of America.
Patrick GearySchool of Historical Studies, Institute for Advanced Study, Princeton, New Jersey 08540, United States of America.
David CaramelliDipartimento di Biologia Evoluzionistica, Università di Firenze, 50122 Florence, Italy.
Guido BarbujaniDipartimento di Scienze della Vita e Biotecnologie, Università di Ferrara, 44121 Ferrara, Italy.
University of Florence · ITItalian institute for Genomic Medicine · ITUniversity of Ferrara · ITInstitut de Biologia Evolutiva · ESUniversity of Pavia · ITUniversity of Perugia · ITANT Foundation Italy Onlus · ITConsejo Superior de Investigaciones Científicas · ESInstitute for Advanced Study · USMuseo Egizio · ITNational Research Council · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the period between 400 to 800 AD, also known as the period of the Barbarian invasions, intense migration is documented in the historical record of Europe. However, little is known about the demographic impact of these historical movements, potentially ranging from negligible to substantial. As a pilot study in a broader project on Medieval Europe, we sampled 102 specimens from 5 burial sites in Northwestern Italy, archaeologically classified as belonging to Lombards or Longobards, a Germanic people ruling over a vast section of the Italian peninsula from 568 to 774. We successfully amplified and typed the mitochondrial hypervariable region I (HVR-I) of 28 individuals. Comparisons of genetic diversity with other ancient populations and haplotype networks did not suggest that these samples are heterogeneous, and hence allowed us to jointly compare them with three isolated contemporary populations, and with a modern sample of a large city, representing a control for the effects of recent immigration. We then generated by serial coalescent simulations 16 millions of genealogies, contrasting a model of genealogical continuity with one in which the contemporary samples are genealogically independent from the medieval sample. Analyses by Approximate Bayesian Computation showed that the latter model fits the data in most cases, with one exception, Trino Vercellese, in which the evidence was compatible with persistence up to the present time of genetic features observed among this early medieval population. We conclude that it is possible, in general, to detect evidence of genealogical ties between medieval and specific modern populations. However, only seldom did mitochondrial DNA data allow us to reject with confidence either model tested, which indicates that broader analyses, based on larger assemblages of samples and genetic markers, are needed to understand in detail the effects of medieval migration.

Indexed as

Human MigrationBayes TheoremDNA, MitochondrialGenome, HumanHistory, MedievalHumansItalyModels, GeneticPhylogenyPhylogeographyROC CurveSequence Analysis, DNADNA, Mitochondrial

Identifiers

PMID25635682
PMCPMC4312042
OpenAlexW2007540540

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Registered trials

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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.