Evidence map›Paper›PMID 31340865›Full record

ArticleGenome medicine2019

Identification of intermediate-sized deletions and inference of their impact on gene expression in a human population.

Jing Hao Wong, Daichi Shigemizu, Yukiko Yoshii, Shintaro Akiyama, Azusa Tanaka, Hidewaki Nakagawa, Shu Narumiya, Akihiro Fujimoto

Abstract read
In one paragraph

Article in Genome medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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  8. Frontiers in aging neuroscience · 2022
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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

8 authors.

Jing Hao WongDepartment of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Daichi ShigemizuMedical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.
Yukiko YoshiiDepartment of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Shintaro AkiyamaMedical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.
Azusa TanakaDepartment of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Hidewaki NakagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Science, Yokohama, Japan.
Shu NarumiyaDepartment of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Akihiro FujimotoDepartment of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan. afujimoto@m.u-tokyo.ac.jp.ORCID 0000-0002-0075-0800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNext-generation sequencing has allowed for the identification of different genetic variations, which are known to contribute to diseases. Of these, insertions and deletions are the second most abundant type of variations in the genome, but their biological importance or disease association is not well-studied, especially for deletions of intermediate sizes.

methodsWe identified intermediate-sized deletions from whole-genome sequencing (WGS) data of Japanese samples (n = 174) with a novel deletion calling method which considered multiple samples. These deletions were used to construct a reference panel for use in imputation. Imputation was then conducted using the reference panel and data from 82 publically available Japanese samples with gene expression data. The accuracy of the deletion calling and imputation was examined with Nanopore long-read sequencing technology. We also conducted an expression quantitative trait loci (eQTL) association analysis using the deletions to infer their functional impacts on genes, before characterizing the deletions causal for gene expression level changes.

resultsWe obtained a set of polymorphic 4378 high-confidence deletions and constructed a reference panel. The deletions were successfully imputed into the Japanese samples with high accuracy (97.3%). The eQTL analysis identified 181 deletions (4.1%) suggested as causal for gene expression level changes. The causal deletion candidates were significantly enriched in promoters, super-enhancers, and transcription elongation chromatin states. Generation of deletions in a cell line with the CRISPR-Cas9 system confirmed that they were indeed causative variants for gene expression change. Furthermore, one of the deletions was observed to affect the gene expression levels of a gene it was not located in.

conclusionsThis paper reports an accurate deletion calling method for genotype imputation at the whole genome level and shows the importance of intermediate-sized deletions in the human population.

Indexed as

Epistasis, GeneticGene Expression RegulationGenetics, PopulationSequence DeletionComputational BiologyCRISPR-Cas SystemsGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationPhylogenyQuantitative Trait LociRegulatory Sequences, Nucleic AcidReproducibility of ResultsWhole Genome SequencingExpression quantitative trait loci (eQTL)Genomic imputationIntermediate-sized deletionLong-read sequencing

Identifiers

PMID31340865
PMCPMC6657090

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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.