Evidence map›Paper›PMID 23269536›Full record

Trial reportHuman genetics2013

Genome-wide association study identified novel genetic variant on SLC45A3 gene associated with serum levels prostate-specific antigen (PSA) in a Chinese population.

Jielin Sun, Sha Tao, Yong Gao, Tao Peng, Aihua Tan, Haiying Zhang, Xiaobo Yang, Xue Qin, Yanling Hu, Junjie Feng and 17 more

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 15% 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

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

  1. Predicted Proteome Association Studies of Breast, Prostate, Ovarian, and Endometrial Cancers Implicate Plasma Protein Regulation in Cancer Susceptibility.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Pooled it
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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

27 authors at 11 institutions in 2 countries.

Jielin SunCenter for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Sha Tao
Yong Gao
Tao Peng
Aihua Tan
Haiying Zhang
Xiaobo Yang
Xue Qin
Yanling Hu
Junjie Feng
Seong-Tae Kim
Xiaoling Lin
Yongming Wu
Ju Zhang
Zhixian Li
Li Li
Linjian Mo
Zhengjia Liang
Deyi Shi
Zhang Huang
Xianghua Huang
Ming Liu
Qian Liu
Shijun Zhang
S Lilly Zheng
Jianfeng Xu
Zengnan Mo
Guangxi Medical University · CNWake Forest University · USFirst Affiliated Hospital of GuangXi Medical University · CNHegang People's Hospital · CNFudan University · CNGuigang City People's Hospital · CNHuashan Hospital · CNNankai University · CNNantong University · CNNational Cancer Institute · USYulin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate-specific antigen (PSA) is a commonly used cancer biomarker for prostate cancer, and is often included as part of routine physical examinations in China. Serum levels of PSA may be influenced by genetic factors as well as other factors. A genome-wide association study (GWAS) conducted in a European population successfully identified six genetic loci that were significantly associated with PSA level. In this study, we aimed to identify common genetic variants that are associated with serum level of PSA in a Chinese population. We also evaluated the effects of those variants by creating personalized PSA cutoff values. A two-stage GWAS of PSA level was performed among men age 20-69 years and self-reported cancer-free participants that underwent routine physical examinations at several hospitals in Guangxi Province, China. Single nucleotide polymorphisms (SNPs) significantly associated with PSA levels in the first stage of sample (N = 1,999) were confirmed in the second stage of sample (N = 1,496). Multivariate linear regression was used to assess the independent contribution of confirmed SNPs and known covariates, such as age, to the level of PSA. SNPs in three regions were significantly associated with levels of PSA in this two-stage GWAS, and had combined P values between 4.62 × 10(-17) and 6.45 × 10(-37). The three regions are located on 1q32.1 at SLC45A3, 10q11.23 at MSMB, and 19q13.33 at KLK3. The region 1q32.1 at SLC45A3 was identified as a novel locus. Genetic variants contributed significantly more to the variance of PSA level than known covariates such as age. Personalized cutoff values of serum PSA, calculated based on the inheritance of these associated SNPs, differ considerably among individuals. Identification of these genetic markers provides new insight into the molecular mechanisms of PSA. Taking individual variation into account, these genetic variants may improve the performance of PSA to predict prostate cancer.

Indexed as

Genetic LociPolymorphism, Single NucleotideAdultAgedAsian PeopleChinaChromosomes, HumanGenome-Wide Association StudyHumansKallikreinsMaleMembrane Transport ProteinsMiddle AgedMonosaccharide Transport ProteinsPredictive Value of TestsProstate-Specific AntigenKallikreinsKLK3 protein, humanMembrane Transport ProteinsMonosaccharide Transport ProteinsProstate-Specific AntigenSLC45a3 protein, human

Identifiers

PMID23269536
OpenAlexW2088674955

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.