Evidence map›Paper›PMID 37340002›Full record

SynthesisNature communications2023

Pan-cancer and cross-population genome-wide association studies dissect shared genetic backgrounds underlying carcinogenesis.

Go Sato, Yuya Shirai, Shinichi Namba, Ryuya Edahiro, Kyuto Sonehara, Tsuyoshi Hata, Mamoru Uemura, Biobank Japan Project, Koichi Matsuda, Yuichiro Doki and 2 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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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

12 authors at 14 institutions in 1 country.

Go SatoDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
Yuya ShiraiDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
Shinichi NambaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.ORCID 0000-0002-7486-3146
Ryuya EdahiroDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
Kyuto SoneharaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
Tsuyoshi HataDepartment of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.
Mamoru UemuraDepartment of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.
Biobank Japan Project
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, the University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7292-2686
Yuichiro DokiDepartment of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.
Hidetoshi EguchiDepartment of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.
Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan. yokada@sg.med.osaka-u.ac.jp.ORCID 0000-0002-0311-8472
The University of Osaka · JPThe University of Tokyo · JPNihon University · JPFukuoka Tokushukai Hospital · JPIwate Medical University · JPJapan Anti Tuberculosis Association · JPOsaka National Hospital · JPRIKEN Center for Integrative Medical Sciences · JPShiga University of Medical Science · JPUniversity of Tokyo Hospital · JPAso Iizuka Hospital · JPJuntendo University · JPNippon Medical School · JPTokyo Metropolitan Geriatric Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating genomic data of multiple cancers allows de novo cancer grouping and elucidating the shared genetic basis across cancers. Here, we conduct the pan-cancer and cross-population genome-wide association study (GWAS) meta-analysis and replication studies on 13 cancers including 250,015 East Asians (Biobank Japan) and 377,441 Europeans (UK Biobank). We identify ten cancer risk variants including five pleiotropic associations (e.g., rs2076295 at DSP on 6p24 associated with lung cancer and rs2525548 at TRIM4 on 7q22 nominally associated with six cancers). Quantifying shared heritability among the cancers detects positive genetic correlations between breast and prostate cancer across populations. Common genetic components increase the statistical power, and the large-scale meta-analysis of 277,896 breast/prostate cancer cases and 901,858 controls identifies 91 newly genome-wide significant loci. Enrichment analysis of pathways and cell types reveals shared genetic backgrounds across said cancers. Focusing on genetically correlated cancers can contribute to enhancing our insights into carcinogenesis.

Indexed as

Breast NeoplasmsProstatic NeoplasmsCarcinogenesisGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePolymorphism, Single Nucleotide

Identifiers

PMID37340002
PMCPMC10282036
OpenAlexW4381430994

What OpenQuestion holds

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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.