Evidence map›Paper›PMID 36428729›Full record

ReviewCancers2022

SNP-Target Genes Interaction Perturbing the Cancer Risk in the Post-GWAS.

Wenmin Yang, Te Zhang, Xuming Song, Gaochao Dong, Lin Xu, Feng Jiang

Abstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Avicenna journal of medical biotechnology · 2026
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  7. Review
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  13. Analysis ofJournal of Cancer · 2024
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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

6 authors.

Wenmin YangDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.
Te ZhangDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.
Xuming SongDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.
Gaochao DongDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.
Lin XuDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.
Feng JiangDepartment of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer ranks as the second leading cause of death worldwide, and, being a genetic disease, it is highly heritable. Over the past few decades, genome-wide association studies (GWAS) have identified many risk-associated loci harboring hundreds of single nucleotide polymorphisms (SNPs). Some of these cancer-associated SNPs have been revealed as causal, and the functional characterization of the mechanisms underlying the cancer risk association has been illuminated in some instances. In this review, based on the different positions of SNPs and their modes of action, we discuss the mechanisms underlying how SNPs regulate the expression of target genes to consequently affect tumorigenesis and the development of cancer.

Indexed as

cancergenome-wide association analysismolecular and biological mechanismsingle nucleotide polymorphism

Identifiers

PMID36428729
PMCPMC9688512

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Registered trials

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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.