Evidence map›Paper›PMID 33194723›Full record

ArticleFrontiers in oncology2020

Evaluation of Polygenic Risk Scores for Prediction of Prostate Cancer in Korean Men.

Jong Jin Oh, Eunae Kim, Eunjin Woo, Sang Hun Song, Jung Kwon Kim, Hakmin Lee, Sangchul Lee, Sung Kyu Hong, Seok-Soo Byun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 17 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

9 authors at 2 institutions in 1 country.

Jong Jin OhDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Eunae KimProcagen, Seongnam, South Korea.
Eunjin WooProcagen, Seongnam, South Korea.
Sang Hun SongDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Jung Kwon KimDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Hakmin LeeDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Sangchul LeeDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Sung Kyu HongDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Seok-Soo ByunDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Seoul National University Bundang Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe purpose of this study is to evaluate an aggregate influence of prostate cancer (PCa) susceptibility variants on the development of PCa in Korean men by using the polygenic risk score (PRS) approach.

methodsAn analysis of 1,001 cases of PCa and 2,641 controls was performed to: (i) identify potential PCa-related risk loci in Koreans and (ii) validate the cumulative association between these loci and PCa using the PRS. Subgroup analyses based on risk stratification were conducted to better characterize the potential correlation to key PCa-related clinical outcomes (e.g., Gleason score, prostate-specific antigen levels). The results were replicated using 514 cases of PCa and 548 controls from an independent cohort.

resultsGenome-wide association analysis from our discovery cohort revealed 11 candidate single-nucleotide polymorphisms (SNPs) associated with PCa showing statistical significance of

conclusionEleven PCa risk variants in Korean men were identified; PRSs of a subset of these variants could help predict PCa susceptibility.

Indexed as

GenomicsKoreanspolygenic risk scorepredictionprostate cancer

Identifiers

PMID33194723
PMCPMC7643004
OpenAlexW3093649759

What OpenQuestion holds

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LicenceCC BY
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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.