Evidence map›Paper›PMID 32048005›Full record

ReviewMolecular genetics and genomics : MGG2020

GWAS in cancer: progress and challenges.

Baiqiang Liang, Hongrong Ding, Lianfang Huang, Haiqing Luo, Xiao Zhu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular genetics and genomics : MGG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
10.6field-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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

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  14. Heritable Traits and Lung Cancer Risk: A Two-Sample Mendelian Randomization Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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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

5 authors at 1 institution in 1 country.

Baiqiang LiangGuangdong Key Laboratory for Research and Development of Natural Drugs, Guangdong Medical University, Zhanjiang, 524023, China.
Hongrong DingThe Marine Biomedical Research Institute, Southern Marine Science and Engineering Guangdong Laboratory Zhanjiang, Guangdong Medical University, Zhanjiang, 524023, China.
Lianfang HuangGuangdong Key Laboratory for Research and Development of Natural Drugs, Guangdong Medical University, Zhanjiang, 524023, China.
Haiqing LuoCancer Center, The Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524023, China. hqluo@126.com.
Xiao ZhuGuangdong Key Laboratory for Research and Development of Natural Drugs, Guangdong Medical University, Zhanjiang, 524023, China. bioxzhu@yahoo.com.ORCID http://orcid.org/0000-0002-1737-3386
Guangdong Medical College · CN

Funding

"Group-type" Special Supporting Project for Educational Talents in Universities 4SG19057GGuangdong Province Natural Science Foundation 2018A030310155Guangdong Provincial Science and Technology Department 2015A050502048Guangdong Provincial Science and Technology Department 2016A050503046Guangdong Provincial Science and Technology Department 2016B030309002National Natural Science Foundation of China 81541153Southern Marine Science and Engineering Guangdong Laboratory Zhanjiang ZJW-2019-07The Public Service Platform of South China Sea for R&D Marine Biomedicine Resources GDMUK201808Zhanjiang Science and Technology Plan 2017A06012
6 · The paper itself

Abstract

The genome-wide association study (GWAS) is an effective method to detect single-nucleotide polymorphisms (SNPs) of multiple individual genes based on linkage disequilibrium (LD). GWAS examines genotypes and distinguishing gene characteristics that are exhibited in diseases. In the past few decades, more and more literature has reported the results of applying GWAS to study tumors. Although many pleiotropic loci associated with complex phenotypes have been identified by GWAS, the biological functions of many genetic variation loci remain unclear, and the genetic mechanisms of most complex phenotypes cannot be systematically explained. In this article, we will review the new findings of several tumor types, and categorize the new sites and mechanisms that have recently been discovered. We linked the mechanisms of action of various tumors and searched for links to related gene expression pathways. We found that susceptible sites can be divided into hub genes and peripheral genes; the two interact to link gene expression in a variety of diseases.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPolymorphism, Single NucleotideQuantitative Trait LociBiomarkers, TumorHumansNeoplasmsBiomarkers, TumorCancerGenotypeGWASReviewSNPsSusceptible gene

Identifiers

PMID32048005
OpenAlexW3006481299

What Socratic holds

Textmetadata
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 Socratic graph.