Evidence map›Paper›PMID 41513650›Full record

ArticleNature communications2026

A large-scale multi-ancestry genome-wide association study of chronic prostatitis/chronic pelvic pain syndrome in men.

Sara Brin Rosenthal, Adam X Maihofer, Caroline M Nievergelt, Daniel Dochtermann, Armand Gerstenberger, Thomas Whisenant, Saiju Pyarajan, Kristina Allen-Brady, John N Krieger, Million Veteran Program and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Sara Brin RosenthalCenter for Computational Biology & Bioinformatics, Department of Medicine, University of California San Diego, La Jolla, CA, USA.
Adam X MaihoferVA San Diego Healthcare System (VASDHS), San Diego, CA, USA.
Caroline M NievergeltVA San Diego Healthcare System (VASDHS), San Diego, CA, USA.ORCID http://orcid.org/0000-0001-5766-8923
Daniel DochtermannCenter for Data and Computational Sciences (C-DACS), VA Boston Healthcare System (VABHS), Boston, MA, USA.ORCID http://orcid.org/0000-0001-9513-5124
Armand GerstenbergerVA Puget Sound Health Care System (VAPSHCS), Seattle, WA, USA.
Thomas WhisenantCenter for Computational Biology & Bioinformatics, Department of Medicine, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-2838-1605
Saiju PyarajanCenter for Data and Computational Sciences (C-DACS), VA Boston Healthcare System (VABHS), Boston, MA, USA.ORCID http://orcid.org/0000-0002-9047-3762
Kristina Allen-BradyDivision of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-9394-5211
John N KriegerDepartment of Urology, University of Washington School of Medicine, Seattle, WA, USA.
Million Veteran Program
Niloofar AfariVA San Diego Healthcare System (VASDHS), San Diego, CA, USA.
Marianna GasperiVA San Diego Healthcare System (VASDHS), San Diego, CA, USA. mgasperi@uw.edu.ORCID http://orcid.org/0000-0003-4112-5232

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
CTSA UM1 Program at University of California San Diego Altman Clinical and Translational Research InstituteUM1TR005449 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Michael A Hogarth, David Mitchell Smith · 2025 to 2026
$20.6M
BLRD VA I01 BX005920BLRD VA IK2 BX006536CSRD VA IK2 CX002107NCATS NIH HHS UL1 TR001442NCATS NIH HHS UM1 TR005449ORD VA I01 RD001420RRD VA I01 RX004293U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) UL1TR001442U.S. Department of Veterans Affairs (Department of Veterans Affairs) 1IK2CX002107U.S. Department of Veterans Affairs (Department of Veterans Affairs) BX005920
6 · The paper itself

Abstract

Chronic prostatitis/chronic pelvic pain syndrome is common, and it impacts men's health and quality of life. The genetic basis of this condition remains largely unknown. Here, we conduct a GWAS using data from the Million Veteran Program of over 590,000 men of European, African, and Hispanic ancestry, including 14,575 chronic prostatitis/chronic pelvic pain syndrome cases. The multi-ancestry analysis identifies eight novel loci associated with chronic prostatitis/chronic pelvic pain syndrome risk, an increase from three significant genome-wide loci found in the European participants alone. We also estimate the genetic correlations between chronic prostatitis/chronic pelvic pain syndrome and 12 phenotypes. Notably, the genetic correlation between chronic prostatitis/chronic pelvic pain syndrome and prostate cancer is not significant. Further, Mendelian randomization shows a significant, potentially bidirectional causal relationship between chronic prostatitis/chronic pelvic pain syndrome and benign prostatic hyperplasia, but not between chronic prostatitis/chronic pelvic pain syndrome and prostate cancer, suggesting a complex interplay between chronic prostatitis/chronic pelvic pain syndrome and benign prostatic hyperplasia. Results of bivariate causal mixture modeling indicate that some of the same genetic variants likely contribute to the development of chronic prostatitis/chronic pelvic pain syndrome, benign prostatic hyperplasia, and prostate cancer.

Indexed as

Chronic PainPelvic PainProstatitisAdultAgedBlack or African AmericanChronic DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHispanic or LatinoHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideProstatic Hyperplasia

Identifiers

PMID41513650
PMCPMC12789528

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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.