Evidence map›Paper›PMID 34234178›Full record

ArticleScientific reports2021

The first insight into the genetic structure of the population of modern Serbia.

Tamara Drljaca, Branka Zukic, Vladimir Kovacevic, Branislava Gemovic, Kristel Klaassen-Ljubicic, Vladimir Perovic, Mladen Lazarevic, Sonja Pavlovic, Nevena Veljkovic

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
0.3field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  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

9 authors at 3 institutions in 2 countries.

Tamara DrljacaVinca Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.
Branka ZukicInstitute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia.
Vladimir KovacevicSeven Bridges, Boston, MA, USA.
Branislava GemovicVinca Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.
Kristel Klaassen-LjubicicInstitute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia.
Vladimir PerovicVinca Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.
Mladen LazarevicSeven Bridges, Boston, MA, USA.
Sonja PavlovicInstitute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia. sonya@imgge.bg.ac.rs.
Nevena VeljkovicVinca Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia. nevenav@vin.bg.ac.rs.
University of Belgrade · RSSeven Bridges Genomics (United States) · USReliant Technologies (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complete understanding of the genomic contribution to complex traits, diseases, and response to treatments, as well as genomic medicine application to the well-being of all humans will be achieved through the global variome that encompasses fine-scale genetic diversity. Despite significant efforts in recent years, uneven representation still characterizes genomic resources and among the underrepresented European populations are the Western Balkans including the Serbian population. Our research addresses this gap and presents the first ever targeted sequencing dataset of variants in clinically relevant genes. By measuring population differentiation and applying the Principal Component and Admixture analysis we demonstrated that the Serbian population differs little from other European populations, yet we identified several novel and more frequent variants that appear as its unique genetic determinants. We explored thoroughly the functional impact of frequent variants and its correlation with the health burden of the population of Serbia based on a sample of 144 individuals. Our variants catalogue improves the understanding of genetics of modern Serbia, contributes to research on ancestry, and aids in improvements of well-being and health equity. In addition, this resource may also be applicable in neighboring regions and valuable in worldwide functional analyses of genetic variants in individuals of European descent.

Indexed as

Genetics, PopulationGenetic StructuresAllelesData AnalysisDNA, MitochondrialFemaleGene FrequencyGene OntologyGenetic VariationHumansMaleSerbiaDNA, Mitochondrial

Identifiers

PMID34234178
PMCPMC8263702
OpenAlexW3182778560

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.