Evidence map›Paper›PMID 25476266›Full record

ArticleBMC genetics2014

Genetic landscape of populations along the Silk Road: admixture and migration patterns.

Massimo Mezzavilla, Diego Vozzi, Nicola Pirastu, Giorgia Girotto, Pio d'Adamo, Paolo Gasparini, Vincenza Colonna

Abstract read
In one paragraph

Article in BMC genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  6. Impact of cultural and genetic structure on food choices along the Silk Road.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Global invasion history of the agricultural pest butterflyProceedings of the National Academy of Sciences of the United States of America · 2019
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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

7 authors.

Massimo MezzavillaInstitute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy. massimo.mezzavilla@burlo.trieste.it.
Diego VozziInstitute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy. diego.vozzi@burlo.trieste.it.
Nicola PirastuDepartment of Medical Sciences, University of Trieste, Trieste, Italy. nicola.pirastu@burlo.trieste.it.
Giorgia GirottoDepartment of Medical Sciences, University of Trieste, Trieste, Italy. giorgia.girotto@burlo.trieste.it.
Pio d'AdamoDepartment of Medical Sciences, University of Trieste, Trieste, Italy. pio.dadamo@burlo.trieste.it.
Paolo GaspariniInstitute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy. paolo.gasparini@burlo.trieste.it.
Vincenza ColonnaInstitute of Genetics and Biophysics 'A. Buzzati-Traverso', National Research Council (CNR), via Pietro Castellino 111, 80131, Naples, Italy. vincenza.colonna@igb.cnr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ancient Silk Road has been a trading route between Europe and Central Asia from the 2(nd) century BCE to the 15(th) century CE. While most populations on this route have been characterized, the genetic background of others remains poorly understood, and little is known about past migration patterns. The scientific expedition "Marco Polo" has recently collected genetic and phenotypic data in six regions (Georgia, Armenia, Azerbaijan, Uzbekistan, Kazakhstan, Tajikistan) along the Silk Road to study the genetics of a number of phenotypes.

resultsWe characterized the genetic structure of these populations within a worldwide context. We observed a West-East subdivision albeit the existence of a genetic component shared within Central Asia and nearby populations from Europe and Near East. We observed a contribution of up to 50% from Europe and Asia to most of the populations that have been analyzed. The contribution from Asia dates back to ~25 generations and is limited to the Eastern Silk Road. Time and direction of this contribution are consistent with the Mongolian expansion era.

conclusionsWe clarified the genetic structure of six populations from Central Asia and suggested a complex pattern of gene flow among them. We provided a map of migration events in time and space and we quantified exchanges among populations. Altogether these novel findings will support the future studies aimed at understanding the genetics of the phenotypes that have been collected during the Marco Polo campaign, they will provide insights into the history of these populations, and they will be useful to reconstruct the developments and events that have shaped modern Eurasians genomes.

Indexed as

Gene FlowHuman MigrationAsian PeopleCommonwealth of Independent StatesHomozygoteHumansPhenotypePolymorphism, Single NucleotidePrincipal Component AnalysisSequence Analysis, DNAWhite People

Identifiers

PMID25476266
PMCPMC4267745

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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.