Evidence map›Paper›PMID 32915809›Full record

ArticlePloS one2020

A whole-genome sequenced control population in northern Sweden reveals subregional genetic differences.

Daniel Svensson, Matilda Rentoft, Anna M Dahlin, Emma Lundholm, Pall I Olason, Andreas Sjödin, Carin Nylander, Beatrice S Melin, Johan Trygg, Erik Johansson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

10 authors at 3 institutions in 1 country.

Daniel SvenssonDepartment of Chemistry, Computational Life Science Cluster, Umeå University, Umeå, Sweden.ORCID 0000-0002-4476-9255
Matilda RentoftDepartment of Medical Biochemistry and Biophysics, Umeå University, Umeå, Sweden.
Anna M DahlinDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Emma LundholmCentre for Demography and Ageing, Umeå University, Umeå, Sweden.
Pall I OlasonScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.
Andreas SjödinDepartment of Chemistry, Computational Life Science Cluster, Umeå University, Umeå, Sweden.ORCID 0000-0001-5350-4219
Carin NylanderDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Beatrice S MelinDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Johan TryggDepartment of Chemistry, Computational Life Science Cluster, Umeå University, Umeå, Sweden.
Erik JohanssonDepartment of Medical Biochemistry and Biophysics, Umeå University, Umeå, Sweden.ORCID 0000-0002-8526-6224
Umeå University · SESwedish Defence Research Agency · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of national reference populations that are whole-genome sequenced are rapidly increasing. Partly driving this development is the fact that genetic disease studies benefit from knowing the genetic variation typical for the geographical area of interest. A whole-genome sequenced Swedish national reference population (n = 1000) has been recently published but with few samples from northern Sweden. In the present study we have whole-genome sequenced a control population (n = 300) (ACpop) from Västerbotten County, a sparsely populated region in northern Sweden previously shown to be genetically different from southern Sweden. The aggregated variant frequencies within ACpop are publicly available (DOI 10.17044/NBIS/G000005) to function as a basic resource in clinical genetics and for genetic studies. Our analysis of ACpop, representing approximately 0.11% of the population in Västerbotten, indicates the presence of a genetic substructure within the county. Furthermore, a demographic analysis showed that the population from which samples were drawn was to a large extent geographically stationary, a finding that was corroborated in the genetic analysis down to the level of municipalities. Including ACpop in the reference population when imputing unknown variants in a Västerbotten cohort resulted in a strong increase in the number of high-confidence imputed variants (up to 81% for variants with minor allele frequency < 5%). ACpop was initially designed for cancer disease studies, but the genetic structure within the cohort will be of general interest for all genetic disease studies in northern Sweden.

Indexed as

Genome, HumanPolymorphism, GeneticAgedAged, 80 and overDatabases, GeneticFemaleHumansMaleMiddle AgedPopulationSwedenWhole Genome Sequencing

Identifiers

PMID32915809
PMCPMC7485808
OpenAlexW3086519197

What OpenQuestion holds

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LicenceCC BY
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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.