Evidence mapPaperPMID 40316537Full record

SynthesisNature communications2025

Discovery of novel ancestry specific genes for androgens and hypogonadism in Million Veteran Program Men.

Meghana S Pagadala, Craig C Teerlink, Guneet K Jasuja, Madhuri Palnati, Tori Anglin-Foote, Nai-Chung N Chang, Rishi Deka, Kyung M Lee, Fatai Y Agiri, Tiffany Amariuta and 7 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

17 authors.

Meghana S PagadalaResearch Service, VA San Diego Healthcare System, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-7591-6035
Craig C TeerlinkVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, US.
Guneet K JasujaCenter for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, US.
Madhuri PalnatiCenter for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, US.
Tori Anglin-FooteVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, US.ORCID http://orcid.org/0000-0002-9084-7111
Nai-Chung N ChangVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, US.ORCID http://orcid.org/0000-0002-4541-8967
Rishi DekaResearch Service, VA San Diego Healthcare System, San Diego, CA, USA.
Kyung M LeeVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, US.ORCID http://orcid.org/0000-0001-8995-0448
Fatai Y AgiriVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, US.
Tiffany AmariutaDepartment of Medicine, University of California San Diego, La Jolla, CA, USA.
Tyler M SeibertResearch Service, VA San Diego Healthcare System, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-4089-7399
Brent S RoseResearch Service, VA San Diego Healthcare System, San Diego, CA, USA.
Kathryn M PridgenVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, US.
Julie A LynchVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, US.ORCID http://orcid.org/0000-0003-0108-2127
Hannah K CarterDepartment of Medicine, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-1729-2463
Matthew S Panizzon *Research Service, VA San Diego Healthcare System, San Diego, CA, USA.
Richard L Hauger *Department of Psychiatry, University of California San Diego, La Jolla, CA, USA. rhauger@health.ucsd.edu.ORCID http://orcid.org/0000-0003-1509-1868

Funding

CSRD VA I01 CX001727NIA NIH HHS R01 AG050595
6 · The paper itself

Abstract

Given the various roles of testosterone in men's health, we conducted a multi-ancestral genetic analysis of total testosterone, free testosterone, SHBG, and hypogonadism in men within the Million Veteran Program (MVP). Here we identified 157 significant testosterone genetic variants, of which 8 have significant ancestry-specific associations. These variants implicate several genes, including SERPINF2, PRPF8, BAIAP2L1, SHBG, PRMT6, and PPIF, related to liver function. Genetic regulators of testosterone have cell type-specific effects in the testes, liver, and adrenal gland and are associated with disease risk. We conducted a meta-analysis amongst ancestry groups to identify 188 variants significantly associated with testosterone, of which 22 are novel associations. We constructed genetic scores for total testosterone, SHBG levels, and hypogonadism and find that men with higher testosterone genetic scores have lower odds of diabetes, hyperlipidemia, gout, and cardiac disorders. These findings provide insight into androgen regulation and identify novel variants for disease risk stratification.

Indexed as

AndrogensHypogonadismTestosteroneGenetic Predisposition to DiseaseHumansMalePolymorphism, Single NucleotideSex Hormone-Binding GlobulinVeteransAndrogensSex Hormone-Binding GlobulinSHBG protein, humanTestosterone

Identifiers

PMID40316537
PMCPMC12048691

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.