Evidence map›Paper›PMID 21499248›Full record

ArticleNature genetics2011

Genome-wide association study identifies a susceptibility locus for HCV-induced hepatocellular carcinoma.

Vinod Kumar, Naoya Kato, Yuji Urabe, Atsushi Takahashi, Ryosuke Muroyama, Naoya Hosono, Motoyuki Otsuka, Ryosuke Tateishi, Masao Omata, Hidewaki Nakagawa and 5 more

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Article in Nature genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 7 pooled it
18.5field-weighted citation impact, top 1% 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

192 citing papers in PubMed, 7 syntheses or guidelines pooled it, 369 citations in OpenAlex.

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132 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Vinod KumarLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Naoya Kato
Yuji Urabe
Atsushi Takahashi
Ryosuke Muroyama
Naoya Hosono
Motoyuki Otsuka
Ryosuke Tateishi
Masao Omata
Hidewaki Nakagawa
Kazuhiko Koike
Naoyuki Kamatani
Michiaki Kubo
Yusuke Nakamura
Koichi Matsuda
RIKEN Center for Integrative Medical Sciences · JPThe University of Tokyo · JPRIKEN · JPTokyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify the genetic susceptibility factor(s) for hepatitis C virus-induced hepatocellular carcinoma (HCV-induced HCC), we conducted a genome-wide association study using 432,703 autosomal SNPs in 721 individuals with HCV-induced HCC (cases) and 2,890 HCV-negative controls of Japanese origin. Eight SNPs that showed possible association (P < 1 × 10(-5)) in the genome-wide association study were further genotyped in 673 cases and 2,596 controls. We found a previously unidentified locus in the 5' flanking region of MICA on 6p21.33 (rs2596542, P(combined) = 4.21 × 10(-13), odds ratio = 1.39) to be strongly associated with HCV-induced HCC. Subsequent analyses using individuals with chronic hepatitis C (CHC) indicated that this SNP is not associated with CHC susceptibility (P = 0.61) but is significantly associated with progression from CHC to HCC (P = 3.13 × 10(-8)). We also found that the risk allele of rs2596542 was associated with lower soluble MICA protein levels in individuals with HCV-induced HCC (P = 1.38 × 10(-13)).

Indexed as

Alcohol DrinkingCarcinoma, HepatocellularCase-Control StudiesDisease ProgressionFemaleGenes, MHC Class IGenetic Predisposition to DiseaseGenome-Wide Association StudyHepatitis C, ChronicHistocompatibility Antigens Class IHumansJapanLiver NeoplasmsMaleMiddle AgedMinisatellite RepeatsHistocompatibility Antigens Class IMHC class I-related chain A

Identifiers

PMID21499248
OpenAlexW1978714340

What OpenQuestion holds

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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.