An exome-wide rare variant analysis of Korean men identifies three novel genes predisposing to prostate cancer.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
20 11 2019
Historique:
received: 15 11 2018
accepted: 25 10 2019
entrez: 22 11 2019
pubmed: 22 11 2019
medline: 22 11 2019
Statut: epublish

Résumé

Since prostate cancer is highly heritable, common variants associated with prostate cancer have been studied in various populations, including those in Korea. However, rare and low-frequency variants have a significant influence on the heritability of the disease. The contributions of rare variants to prostate cancer susceptibility have not yet been systematically evaluated in a Korean population. In this work, we present a large-scale exome-wide rare variant analysis of 7,258 individuals (985 cases with prostate cancer and 6,273 controls). In total, 19 rare variant loci spanning 7 genes contributed to an association with prostate cancer susceptibility. In addition to replicating previously known susceptibility genes (e.g., CDYL2, MST1R, GPER1, and PARD3B), 3 novel genes were identified (FDR q < 0.05), including the non-coding RNAs ENTPD3-AS1, LOC102724438, and protein-coding gene SPATA3. Additionally, 6 pathways were identified based on identified variants and genes, including estrogen signaling pathway, signaling by MST1, IL-15 production, MSP-RON signaling pathway, and IL-12 signaling and production in macrophages, which are known to be associated with prostate cancer. In summary, we report novel genes and rare variants that potentially play a role in prostate cancer susceptibility in the Korean population. These observations demonstrated a path towards one of the fundamental goals of precision medicine, which is to identify biomarkers for a subset of the population with a greater risk of disease than others.

Identifiants

pubmed: 31748686
doi: 10.1038/s41598-019-53445-2
pii: 10.1038/s41598-019-53445-2
pmc: PMC6868235
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

17173

Subventions

Organisme : NLM NIH HHS
ID : R01 LM012535
Pays : United States
Organisme : NHGRI NIH HHS
ID : T32 HG009495
Pays : United States

Commentaires et corrections

Type : ErratumIn

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Auteurs

Jong Jin Oh (JJ)

Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

Manu Shivakumar (M)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Jason Miller (J)

Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Shefali Verma (S)

Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Hakmin Lee (H)

Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

Sung Kyu Hong (SK)

Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

Sang Eun Lee (SE)

Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

Younghee Lee (Y)

Department of Biomedical Informatics, University of Utah, University of Utah School of Medicine, Salt Lake City, UT, USA.

Soo Ji Lee (SJ)

Complex Diseases and Genome Epidemiology Laboratory, Department of Public Health, Graduate School of Public Health, Seoul National University, Seoul, Korea.

Joohon Sung (J)

Complex Diseases and Genome Epidemiology Laboratory, Department of Public Health, Graduate School of Public Health, Seoul National University, Seoul, Korea.

Dokyoon Kim (D)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Dokyoon.Kim@pennmedicine.upenn.edu.
Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA. Dokyoon.Kim@pennmedicine.upenn.edu.

Seok-Soo Byun (SS)

Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea. ssbyun@snubh.org.

Classifications MeSH