Evidence map›Paper›PMID 32166433›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2020

Comparative genomic analysis of inbred rat strains reveals the existence of ancestral polymorphisms.

Hyeonjeong Kim, Minako Yoshihara, Mikita Suyama

Open access · hybridAbstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Hyeonjeong KimDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
Minako YoshiharaDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan.
Mikita SuyamaDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Maidashi 3-1-1, Higashi-ku, Fukuoka, 812-8582, Japan. mikita@bioreg.kyushu-u.ac.jp.ORCID 0000-0001-9526-3193
Kyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an alignment of closely related genomic sequences, the existence of discordant mutation sites, which do not reflect the phylogenetic relationship of the genomes, is often observed. Although these discordant mutation sites are thought to have emerged by ancestral polymorphism or gene flow, their frequency and distribution in the genome have not yet been analyzed in detail. Using the genome sequences of all protein coding genes of 25 inbred rat strains, we analyzed the frequency and genome-wide distribution of the discordant mutation sites. From the comparison of different substrains, it was found that these loci are not substrain specific, but are common among different groups of substrains, suggesting that the discordant sites might have mainly emerged through ancestral polymorphism. It was also revealed that the discordant sites are not uniformly distributed along chromosomes, but are concentrated at certain genomic loci, such as RT1, major histocompatibility complex of rats, and olfactory receptors, indicating that genes known to be highly polymorphic tend to have more discordant sites. Our results also showed that loci with a high density of discordant sites are also rich in heterozygous variants, even though these are inbred strains.

Indexed as

AnimalsBase SequenceChromosome MappingGenetic LociGenomeGenomicsMajor Histocompatibility ComplexPhylogenyPolymorphism, GeneticRatsRats, Inbred StrainsReceptors, OdorantReceptors, Odorant

Identifiers

PMID32166433
PMCPMC7200647
OpenAlexW3011916480

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.