Evidence map›Paper›PMID 26357606›Full record

ReviewJournal of clinical and translational hepatology2013

Genome-Wide Association Study Reveals Host Genetic Factors for Liver Diseases.

Nao Nishida, Katsushi Tokunaga, Masashi Mizokami

Abstract readReview
In one paragraph

Review in Journal of clinical and translational hepatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Possible association ofGlobal health & medicine · 2022
    Article
  2. Article
  3. Review
  4. 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

3 authors.

Nao NishidaThe Research Center for Hepatitis & Immunology, National Center for Global Health and Medicine, Ichikawa, Chiba, Japan ; Department of Human Genetics, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Katsushi TokunagaDepartment of Human Genetics, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Masashi MizokamiThe Research Center for Hepatitis & Immunology, National Center for Global Health and Medicine, Ichikawa, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of disease-associated genetic markers for common liver diseases have been identified using genome-wide association studies (GWASs). The GWAS strategy is based on genome-wide single-nucleotide polymorphism typing technologies, which are now commercially available, accompanied by statistical methods to identify host genetic factors that are associated with target diseases or complex genetic traits. One of the most striking features of the GWAS strategy is the ability to identify unexpected disease-associated genetic markers across the entire human genome. Here, we describe the technological aspects of the GWAS strategy with examples from actual GWAS reports related to hepatitis research, including drug response for patients with chronic hepatitis C, susceptibility to primary biliary cirrhosis, and hepatitis-B-related hepatocellular carcinoma.

Indexed as

GWASHepatitis B infectionHepatitis C infectionHepatocellular carcinomaHLA-DPHost genetic factorsPrimary biliary cirrhosis

Identifiers

PMID26357606
PMCPMC4521269

What OpenQuestion holds

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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.