Evidence map›Paper›PMID 34208224›Full record

ArticleGenes2021

How a Paleogenomic Approach Can Provide Details on Bioarchaeological Reconstruction: A Case Study from the Globular Amphorae Culture.

Stefania Vai, Maria Angela Diroma, Costanza Cannariato, Alicja Budnik, Martina Lari, David Caramelli, Elena Pilli

Abstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. 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

7 authors.

Stefania VaiDepartment of Biology, University of Florence, 50122 Florence, Italy.
Maria Angela DiromaDepartment of Biology, University of Florence, 50122 Florence, Italy.ORCID 0000-0003-1427-8946
Costanza CannariatoDepartment of Biology, University of Florence, 50122 Florence, Italy.ORCID 0000-0003-3669-1002
Alicja BudnikDepartment of Human Biology, Institute of Biological Sciences, Cardinal Stefan Wyszyński University, 01-938 Warsaw, Poland.ORCID 0000-0002-9916-9775
Martina LariDepartment of Biology, University of Florence, 50122 Florence, Italy.
David CaramelliDepartment of Biology, University of Florence, 50122 Florence, Italy.
Elena PilliDepartment of Biology, University of Florence, 50122 Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ancient human remains have the potential to explain a great deal about the prehistory of humankind. Due to recent technological and bioinformatics advances, their study, at the palaeogenomic level, can provide important information about population dynamics, culture changes, and the lifestyles of our ancestors. In this study, mitochondrial and nuclear genome data obtained from human bone remains associated with the Neolithic Globular Amphorae culture, which were recovered in the Megalithic barrow of Kierzkowo (Poland), were reanalysed to gain insight into the social organisation and use of the archaeological site and to provide information at the individual level. We were able to successfully estimate the minimum number of individuals, sex, kin relationships, and phenotypic traits of the buried individuals, despite the low level of preservation of the bone samples and the intricate taphonomic conditions. In addition, the evaluation of damage patterns allowed us to highlight the presence of "intruders"-that is, of more recent skeletal remains that did not belong to the original burial. Due to its characteristics, the study of the Kierzkowo barrow represented a challenge for the reconstruction of the biological profile of the human community who exploited it and an excellent example of the contribution that ancient genomic analysis can provide to archaeological reconstruction.

Indexed as

DNA, AncientArchaeologyBiological EvolutionGenome, HumanGenomicsHumansPedigreeSocial EvolutionDNA, Ancientancient DNAkinshipmultiple burialNeolithicpalaeogenomicsphenotypic traits

Identifiers

PMID34208224
PMCPMC8230892

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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.