Evidence map›Paper›PMID 28380453›Full record

ArticleOncotarget2017

Exome-based genome-wide association study and risk assessment using genetic risk score to prostate cancer in the Korean population.

Jong Jin Oh, Soo Ji Lee, Joo-Yeon Hwang, Dokyoon Kim, Sang Eun Lee, Sung Kyu Hong, Jin-Nyoung Ho, Sungroh Yoon, Joohon Sung, Wun-Jae Kim and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
0.9field-weighted citation impact, top 22% 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, 8 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

11 authors at 5 institutions in 2 countries.

Jong Jin OhDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Soo Ji LeeComplex Disease and Genome Epidemiology Branch, Department of Public Health, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Joo-Yeon HwangDivision of Structural & Functional genomics, Center for Genome Science, Korean National Institute of Health, KCDC, Korea.
Dokyoon KimDepartment of Biomedical and Translational Informatics, Geisinger Health System, Danville, PA, USA.
Sang Eun LeeDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Sung Kyu HongDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Jin-Nyoung HoDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Sungroh YoonDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, Korea.
Joohon SungComplex Disease and Genome Epidemiology Branch, Department of Public Health, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Wun-Jae KimDepartment of Urology, Chung Buk National University Hospital, Cheongju, Korea.
Seok-Soo ByunDepartment of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Seoul National University Bundang Hospital · KRSeoul National University · KRChungbuk National University Hospital · KRGeisinger Health System · USKorea National Institute of Health · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate exome-wide genetic variants associated with prostate cancer (PCa) in Koreans and evaluate the discriminative ability by the genetic risk score (GRS). PATIENTS AND

methodsWe prospectively recruited 1,001 PCa cases from a tertiary hospital and conducted a case-control study including 2,641 healthy men (Stage I). Participants were analyzed using HumanExome BeadChip. For the external validation, additionally enrolled 514 PCa cases and 548 controls (independent cohort) were analyzed for the identified single nucleotide polymorphisms (SNPs) of Stage I (Stage II). The GRS was calculated as a non-weighted sum of the risk allele counts and investigated for accuracy of prediction of PCa.

resultsthe mean age was 66.3 years, and the median level of prostate specific antigen (PSA) was 9.19 ng/ml in PCa cases. In Stage I, 4 loci containing 5 variants (rs1512268 on 8p21.2; rs1016343 and rs7837688 on 8q24.21; rs7501939 on 17q12, and rs2735839 on 19q13.33) were confirmed to reach exome-wide significance (p<8.3x10-7). In Stage II, the mean GRS was 4.23 ± 1.44 for the controls and 4.78 ± 1.43 for the cases. As a reference to GRS 4, GRS 6, 7 and 8 showed a statistically significant risk of PCa (OR=1.85, 2.11 and 3.34, respectively).

conclusionsThe five variants were validated to associate with PCa in firstly performed exome-wide study in Koreans. The addition of individualized calculated GRS effectively enhanced the accuracy of prediction. These results need to be validated in future studies.

Indexed as

ExomeGenetic Predisposition to DiseaseGenome-Wide Association StudyAgedAged, 80 and overAllelesAsian PeopleGene FrequencyGenotypeHumansMaleNeoplasm GradingNeoplasm StagingOdds RatioPolymorphism, Single NucleotidePopulation SurveillanceexomeKoreanprostateprostate cancer

Identifiers

PMID28380453
PMCPMC5546451
OpenAlexW2599095921

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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.