Evidence map›Paper›PMID 17629747›Full record

ArticleHuman genetics2007

Genetic variation in prehistoric Sardinia.

David Caramelli, Cristiano Vernesi, Simona Sanna, Lourdes Sampietro, Martina Lari, Loredana Castrì, Giuseppe Vona, Rosalba Floris, Paolo Francalacci, Robert Tykot and 5 more

Abstract readHistorical Article
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In one paragraph

Article in Human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Functional diversity of microbial ecologies estimated from ancient human coprolites and dental calculus.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
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  11. Ancient DNA studies: new perspectives on old samples.Genetics, selection, evolution : GSE · 2012
    Review
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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

15 authors.

David CaramelliDipartimento di Biologia Animale e Genetica, Laboratorio di Antropologia, Università di Firenze, Firenze, Italy.
Cristiano Vernesi
Simona Sanna
Lourdes Sampietro
Martina Lari
Loredana Castrì
Giuseppe Vona
Rosalba Floris
Paolo Francalacci
Robert Tykot
Antonella Casoli
Jaume Bertranpetit
Carles Lalueza-Fox
Giorgio Bertorelle
Guido Barbujani

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We sampled teeth from 53 ancient Sardinian (Nuragic) individuals who lived in the Late Bronze Age and Iron Age, between 3,430 and 2,700 years ago. After eliminating the samples that, in preliminary biochemical tests, did not show a high probability to yield reproducible results, we obtained 23 sequences of the mitochondrial DNA control region, which were associated to haplogroups by comparison with a dataset of modern sequences. The Nuragic samples show a remarkably low genetic diversity, comparable to that observed in ancient Iberians, but much lower than among the Etruscans. Most of these sequences have exact matches in two modern Sardinian populations, supporting a clear genealogical continuity from the Late Bronze Age up to current times. The Nuragic populations appear to be part of a large and geographically unstructured cluster of modern European populations, thus making it difficult to infer their evolutionary relationships. However, the low levels of genetic diversity, both within and among ancient samples, as opposed to the sharp differences among modern Sardinian samples, support the hypothesis of the expansion of a small group of maternally related individuals, and of comparatively recent differentiation of the Sardinian gene pools.

Indexed as

Genetic VariationAnimalsBase SequenceCattleDNA, MitochondrialFossilsHaplotypesHistory, AncientHumansItalyPolymerase Chain ReactionSequence Homology, Nucleic AcidToothDNA, Mitochondrial

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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.