Evidence map›Paper›PMID 36349694›Full record

ArticleHuman molecular genetics2023

Genome-wide identification of copy neutral loss of heterozygosity reveals its possible association with spatial positioning of chromosomes.

Hyeonjeong Kim, Mikita Suyama

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

2 authors at 1 institution in 1 country.

Hyeonjeong KimDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.ORCID 0000-0001-7086-4224
Mikita SuyamaDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.ORCID 0000-0001-9526-3193
Kyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss of heterozygosity (LOH) is a genetic alteration that results from the loss of one allele at a heterozygous locus. In particular, copy neutral LOH (CN-LOH) events are generated, for example, by mitotic homologous recombination after monoallelic defection or gene conversion, resulting in novel homozygous locus having two copies of the normal counterpart allele. This phenomenon can serve as a source of genome diversity and is associated with various diseases. To clarify the nature of the CN-LOH such as the frequency, genomic distribution and inheritance pattern, we made use of whole-genome sequencing data of the three-generation CEPH/Utah family cohort, with the pedigree consisting of grandparents, parents and offspring. We identified an average of 40.7 CN-LOH events per individual taking advantage of 285 healthy individuals from 33 families in the cohort. On average 65% of them were classified as gonosomal-mosaicism-associated CN-LOH, which exists in both germline and somatic cells. We also confirmed that the incidence of the CN-LOH has little to do with the parents' age and sex. Furthermore, through the analysis of the genomic region including the CN-LOH, we found that the chance of the occurrence of the CN-LOH tends to increase at the GC-rich locus and/or on the chromosome having a relatively close inter-homolog distance. We expect that these results provide significant insights into the association between genetic alteration and spatial position of chromosomes as well as the intrinsic genetic property of the CN-LOH.

Indexed as

DNA Copy Number VariationsLoss of HeterozygosityChromosomesHumansMosaicismMutation

Identifiers

PMID36349694
PMCPMC10026252
OpenAlexW4308636260

What OpenQuestion holds

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LicenceCC BY-NC
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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.