Evidence map›Paper›PMID 27081565›Full record

ArticleHuman genome variation2016

Identification of ITPA on chromosome 20 as a susceptibility gene for young-onset tuberculosis.

Ayaka Nakauchi, Jing Hao Wong, Surakameth Mahasirimongkol, Hideki Yanai, Rika Yuliwulandari, Akihiko Mabuchi, Xiaoxi Liu, Taisei Mushiroda, Sukanya Wattanapokayakit, Taku Miyagawa and 2 more

Open access · goldAbstract read
In one paragraph

Article in Human genome variation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Offense and Defense in Granulomatous Inflammation Disease.Frontiers in cellular and infection microbiology · 2022
    Review
  5. Pharmacogenetics of thiopurines.Cancer drug resistance (Alhambra, Calif.) · 2019
    Review
  6. Human genetics of mycobacterial disease.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Review
  7. Review
  8. 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 at 7 institutions in 3 countries.

Ayaka NakauchiDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo , Tokyo, Japan.
Jing Hao WongDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo , Tokyo, Japan.
Surakameth MahasirimongkolMedical Genetics Center, Medical Life Sciences Institute, Department of Medical Sciences, Ministry of Public Health , Nonthaburi, Thailand.
Hideki YanaiDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Fukujuji Hospital, Japan Anti-Tuberculosis Association (JATA), Tokyo, Japan.
Rika YuliwulandariDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Genomic Medicine Research Group, YARSI Research Institute, YARSI University, Jakarta, Indonesia.
Akihiko MabuchiDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo , Tokyo, Japan.
Xiaoxi LiuDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; RIKEN Brain Science Institute, Saitama, Japan.ORCID 0000-0002-1933-8613
Taisei MushirodaResearch Group for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences , Kanagawa, Japan.
Sukanya WattanapokayakitMedical Genetics Center, Medical Life Sciences Institute, Department of Medical Sciences, Ministry of Public Health , Nonthaburi, Thailand.
Taku MiyagawaDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo , Tokyo, Japan.
Naoto KeichoDepartment of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association (JATA) , Tokyo, Japan.ORCID 0000-0001-8232-9448
Katsushi TokunagaDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo , Tokyo, Japan.
The University of Tokyo · JPMinistry of Public Health · THFukujuji Hospital · JPJapan Anti Tuberculosis Association · JPRIKEN Center for Brain Science · JPRIKEN Center for Integrative Medical Sciences · JPYarsi University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is a complex disease, and both genetic and environmental factors contribute to disease progression. A previous genome-wide linkage study in Thailand determined that chromosome 20p13-12.3 may contain risk factors for young-onset disease. The present study aimed to identify novel susceptibility genes for young-onset TB within a 1-Mbp target region adjacent to the top-ranking risk marker in Chr.20p13-12.3. We performed next-generation sequencing (NGS) of the region in 13 young patients from multi-case families in Thailand. We then selected the functionally interesting single-nucleotide polymorphisms as candidates for subsequent analyses. The detected candidates rs13830 and rs1127354 in ITPA showed an association with young (<45 years old) TB patients. However, there was no association in old (⩾45 years old) patients. These findings confirm that stratifying patients based on age of TB onset can be important for identifying genetic risk factors for TB susceptibility. In addition, in silico expression quantitative trait loci analyses indicated that ITPA expression was associated with rs13830 genotype. This is the first study to use NGS resequencing to gain insight into host genetic factors associated with TB and to report a significant association for ITPA with host susceptibility in young-onset TB. The study also demonstrated the effectiveness of NGS in identifying susceptibility genes in common diseases.

Identifiers

PMID27081565
PMCPMC4760120
OpenAlexW2345978938

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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.