Evidence map›Paper›PMID 26375822›Full record

ArticlePloS one2015

Low-Frequency IL23R Coding Variant Associated with Crohn's Disease Susceptibility in Japanese Subjects Identified by Personal Genomics Analysis.

Kei Onodera, Yoshiaki Arimura, Hiroyuki Isshiki, Kentaro Kawakami, Kanna Nagaishi, Kentaro Yamashita, Eiichiro Yamamoto, Takeshi Niinuma, Yasuyoshi Naishiro, Hiromu Suzuki and 2 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Association ofFrontiers in pediatrics · 2019
    Article
  7. 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

12 authors.

Kei OnoderaDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, Sapporo, Japan.
Yoshiaki ArimuraDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, Sapporo, Japan.
Hiroyuki IsshikiDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, Sapporo, Japan.
Kentaro KawakamiDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, Sapporo, Japan.
Kanna NagaishiDepartment of Anatomy, Sapporo Medical University, Sapporo, Japan.
Kentaro YamashitaDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, Sapporo, Japan.
Eiichiro YamamotoDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, Sapporo, Japan.
Takeshi NiinumaDepartment of Molecular Biology, Sapporo Medical University, Sapporo, Japan.
Yasuyoshi NaishiroDepartment of Educational Development, Sapporo Medical University, Sapporo, Japan.
Hiromu SuzukiDepartment of Molecular Biology, Sapporo Medical University, Sapporo, Japan.
Kohzoh ImaiCenter for Antibody and Vaccine Therapy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Yasuhisa ShinomuraDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe common disease-common variant hypothesis is insufficient to explain the complexities of Crohn's disease (CD) genetics; therefore, rare variants are expected to be important in the disease. We explored rare variants associated with susceptibility to CD in Japanese individuals by personal genomic analysis.

methodsTwo-step analyses were performed. The first step was a trio analysis with whole-exome sequence (WES) analysis and the second was a follow-up case-control association study. The WES analysis pipeline comprised Burrows-Wheeler Aligner, Picard, Genome Analysis Toolkit, and SAMTOOLS. Single nucleotide variants (SNVs)/indels were annotated and filtered by using programs implemented in ANNOVAR in combination with identity-by-descent (IBD), subsequently were subjected to the linkage based, and de novo based strategies. Finally, we conducted an association study that included 176 unrelated subjects with CD and 358 healthy control subjects.

resultsIn family members, 234,067-297,523 SNVs/indels were detected and they were educed to 106-146 by annotation based filtering. Fifty-four CD variants common to both individuals of the affected sib pair were identified. The linkage based strategy detected five candidate variants whereas the de novo based strategy identified no variants. Consequently, five candidates were analyzed in the case-control association study. CD showed a significant association with one variant in exon 4 of IL23R, G149R [rs76418789, P = 3.9E-5, odds ratio (OR) 0.21, 95% confidence interval (CI) 0.09-0.47 for the dominant model (AA + AG versus GG), and P = 7.3E-5, OR 0.21, 95% CI 0.10-0.48 for AG versus GG, and P = 7.2E-5, OR 0.23, 95% CI 0.10-0.50 for the allele model].

conclusionsThe present study, using personal genomics analysis of a small CD pedigree, is the first to show that the low-frequency non-synonymous variant of IL23R, rs76418789, protects against CD development in Japanese subjects.

Indexed as

Genetic Predisposition to DiseasePrecision MedicineAdultAgedCase-Control StudiesCrohn DiseaseFemaleGenomicsHumansMaleMiddle AgedPedigreePolymorphism, Single NucleotideReceptors, InterleukinYoung AdultIL23R protein, humanReceptors, Interleukin

Identifiers

PMID26375822
PMCPMC4574159

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.