Evidence map›Paper›PMID 37961155›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Genome-wide association study of prostate-specific antigen levels in 392,522 men identifies new loci and improves cross-ancestry prediction.

Thomas J Hoffmann, Rebecca E Graff, Ravi K Madduri, Alex A Rodriguez, Clinton L Cario, Karen Feng, Yu Jiang, Anqi Wang, Robert J Klein, Brandon L Pierce and 39 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

49 authors at 20 institutions in 6 countries.

Thomas J Hoffmann
Ravi K Madduri
Alex A Rodriguez
Clinton L Cario
Karen Feng
Yu Jiang
Anqi Wang
Brandon L Pierce
Scott Eggener
Lin Tong
William Blot
Jirong Long
Louisa B Goss
Burcu F Darst
Timothy Rebbeck
Caroline Andrews
Akindele O Adebiyi
Ben Adusei
Oseremen I Aisuodionoe-Shadrach
Pedro W Fernandez
Mohamed Jalloh
Rohini Janivara
Wenlong C Chen
James E Mensah
Ilir Agalliu
Sonja I Berndt
John P Shelley
Kerry Schaffer
Mitchell J MachielaORCID 0000-0001-6538-9705
Neal D Freedman
Wen-Yi Huang
Shengchao A Li
Phyllis J Goodman
Cathee Till
Ian Thompson
Hans Lilja
Dilrini K Ranatunga
Joseph Presti
Stephen K Van Den Eeden
Stephen J Chanock
Jonathan D MosleyORCID 0000-0001-6421-2887
David V Conti
Christopher A Haiman
Amy C Justice
John S Witte
National Cancer Institute · USVanderbilt University Medical Center · USStanford University · USGeorgia Institute of Technology · USUniversity of California, San Francisco · USUniversity of Southern California · USArgonne National Laboratory · USChicago Department of Public Health · USDana-Farber Cancer Institute · USFred Hutch Cancer Center · US37 Military Hospital · GHAlbert Einstein College of Medicine · USIcahn School of Medicine at Mount Sinai · USKaiser Permanente · USMedical Center Hospital · USMemorial Sloan Kettering Cancer Center · USNational Health Laboratory Service · ZAStellenbosch University · ZAUniversité de Thiès · SNUniversity of Abuja Teaching Hospital · NG

Funding

Leveraging Prospective Cancer Epidemiology Cohorts and Novel Methods to Improve Polygenic Risk ScoresU01CA261339 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fei Chen, David V Conti · 2021 to 2026
$5.2M
Genetic Predictors of Prostate Cancer SurvivalR01CA244948 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROBERT J. KLEIN · 2021 to 2026
$4.1M
NCI NIH HHS R01 CA244948NCI NIH HHS U01 CA261339
6 · The paper itself

Abstract

We conducted a multi-ancestry genome-wide association study of prostate-specific antigen (PSA) levels in 296,754 men (211,342 European ancestry; 58,236 African ancestry; 23,546 Hispanic/Latino; 3,630 Asian ancestry; 96.5% of participants were from the Million Veteran Program). We identified 318 independent genome-wide significant (p≤5e-8) variants, 184 of which were novel. Most demonstrated evidence of replication in an independent cohort (n=95,768). Meta-analyzing discovery and replication (n=392,522) identified 447 variants, of which a further 111 were novel. Out-of-sample variance in PSA explained by our genome-wide polygenic risk scores ranged from 11.6%-16.6% in European ancestry, 5.5%-9.5% in African ancestry, 13.5%-18.2% in Hispanic/Latino, and 8.6%-15.3% in Asian ancestry, and decreased with increasing age. Mid-life genetically-adjusted PSA levels were more strongly associated with overall and aggressive prostate cancer than unadjusted PSA. Our study highlights how including proportionally more participants from underrepresented populations improves genetic prediction of PSA levels, offering potential to personalize prostate cancer screening.

Identifiers

PMID37961155
PMCPMC10635224
OpenAlexW4388109003

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.