Evidence map›Paper›PMID 31596857›Full record

ArticlePloS one2019

Inter-individual genomic heterogeneity within European population isolates.

Paolo Anagnostou, Valentina Dominici, Cinzia Battaggia, Alessandro Lisi, Stefania Sarno, Alessio Boattini, Carla Calò, Paolo Francalacci, Giuseppe Vona, Sergio Tofanelli and 4 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

14 authors.

Paolo AnagnostouDipartimento di Biologia Ambientale, Università di Roma "La Sapienza", Rome, Italy.ORCID 0000-0003-0768-4612
Valentina DominiciDipartimento di Biologia Ambientale, Università di Roma "La Sapienza", Rome, Italy.
Cinzia BattaggiaDipartimento di Biologia Ambientale, Università di Roma "La Sapienza", Rome, Italy.
Alessandro LisiDipartimento di Biologia Ambientale, Università di Roma "La Sapienza", Rome, Italy.
Stefania SarnoDipartimento di Scienze Biologiche, Geologiche ed Ambientali, Università di Bologna, Bologna, Italy.
Alessio BoattiniDipartimento di Scienze Biologiche, Geologiche ed Ambientali, Università di Bologna, Bologna, Italy.
Carla CalòDipartimento di Scienze della Vita e dell'Ambiente, Università di Cagliari, Monserrato, Cagliari, Italy.
Paolo FrancalacciDipartimento di Scienze della Vita e dell'Ambiente, Università di Cagliari, Monserrato, Cagliari, Italy.
Giuseppe VonaDipartimento di Scienze della Vita e dell'Ambiente, Università di Cagliari, Monserrato, Cagliari, Italy.
Sergio TofanelliDipartimento di Biologia, Università di Pisa, Pisa, Italy.
Miguel G VilarNational Geographic Society, Washington DC, United States of America.
Vincenza ColonnaInstitute of Genetics and Biophysics "A. Buzzati-Traverso", National Research Council (CNR), Naples, Italy.
Luca PaganiAPE Lab, Department of Biology, University of Padova, Padova, Italy.
Giovanni Destro BisolDipartimento di Biologia Ambientale, Università di Roma "La Sapienza", Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of studies carried out since the early '70s has investigated the effects of isolation on genetic variation within and among human populations in diverse geographical contexts. However, no extensive analysis has been carried out on the heterogeneity among genomes within isolated populations. This issue is worth exploring since events of recent admixture and/or subdivision could potentially disrupt the genetic homogeneity which is to be expected when isolation is prolonged and constant over time. Here, we analyze literature data relative to 87,815 autosomal single-nucleotide polymorphisms, which were obtained from a total of 28 European populations. Our results challenge the traditional paradigm of population isolates as structured as genetically (and genomically) uniform entities. In fact, focusing on the distribution of variance of intra-population diversity measures across individuals, we show that the inter-individual heterogeneity of isolated populations is at least comparable to the open ones. More in particular, three small and highly inbred isolates (Sappada, Sauris and Timau in Northeastern Italy) were found to be characterized by levels of inter-individual heterogeneity largely exceeding that of all other populations, possibly due to relatively recent events of genetic introgression. Finally, we propose a way to monitor the effects of inter-individual heterogeneity in disease-gene association studies.

Indexed as

Databases, Nucleic AcidPolymorphism, Single NucleotideAdultFemaleGenetics, PopulationHuman GeneticsHumansMaleWhite People

Identifiers

PMID31596857
PMCPMC6785074

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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.