218: SIM1 and the multi-ancestry genomics of erectile dysfunction

Bright U et al., Nat Commun - A large multi-ancestry GWAS meta-analysis identifies a dominant SIM1-linked locus and multiple genetic connections between electronic health record-defined erectile dysfunction and cardiometabolic, psychiatric, and substance-use traits. Key terms: erectile dysfunction, GWAS, SIM1, obesity, polygenic risk.

Study Highlights:
Meta-analysis of 913,194 European and 125,315 African ancestry individuals (136,867 and 51,599 cases respectively) identified 40 independent variants in Europeans, two in Africans, and 51 lead SNPs in cross-ancestry analyses. The strongest associations mapped to a non-coding region regulating SIM1, led by rs78677597 in Europeans and rs17185536 in Africans and in the cross-ancestry meta-analysis. Genetic correlations and local analyses linked EHR-defined ED with psychiatric disorders, cardiometabolic traits, and substance use traits, and Mendelian randomization inferred bidirectional and directional causal relationships involving obesity, type 2 diabetes, cannabis use disorder and opioid use disorder. Polygenic risk scores explained up to 9.2% of variance but showed limited predictive power (AUC = 0.52), while gene-based and TWAS analyses highlighted ESR1, CTNNB1 and SLC39A8 and drug-repurposing nominated ER-α antagonists and sulindac as candidates.

Conclusion:
The study confirms a dominant SIM1-associated genetic signal for erectile dysfunction and reveals a complex, multi-factorial genetic architecture linking ED to cardiometabolic, psychiatric, and substance-use biology

Music:
Enjoy the music based on this article at the end of the episode.

First author:
Bright U

Journal:
Nat Commun

DOI:
10.1038/s41467-025-66723-7

Reference:
Bright U, Chen Y, Deak JD, Zhou H, Levey DF, Gelernter J. Multi-ancestry investigation of the genomics of erectile dysfunction. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66723-7

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

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QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-04.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Substantively audited the transcript's scientific claims describing the multi-ancestry ED GWAS, SIM1 locus, ancestry-specific signals, EHR-defined ED, MR, gSEM, correlations with psychiatric/metabolic traits, and drug repurposing implications.
- transcript topics: SIM1 regulatory locus as main ED signal; EUR/AFR/cross-ancestry GWAS results; EHR-defined erectile dysfunction phenotype; Mendelian randomization analyses linking ED to obesity and other traits; Genomic structural equation modeling: two major genetic factors; Gene-level signals (ESR1, CTNNB1, PHF21B, SLC39A8) and TWAS/MAGMA

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 6
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- strongest ED genetic signal maps to SIM1 regulatory region on chromosome 6; lead variants rs78677597 (EUR) and rs17185536 (AFR/cross-ancestry)
- 40 lead SNPs in European ancestry; 2 lead SNPs in African ancestry; 51 lead SNPs in cross-ancestry analyses
- EHR-defined ED (EHR-ED) phenotype defined by ICD-10 code N52 or ED drug prescriptions
- Mendelian randomization (MR) shows ED risk variants are a stronger causal factor for morbid obesity than obesity-related ED; bidirectional relations with some traits
- Genomic SEM identifies two major genetic factors: Factor 1 (behavioral/psychiatric) and Factor 3 (metabolic); ED loads on both via co-loading
- Drug repurposing highlights ESR1 antagonists and CTNNB1-related targets; sulindac discussed as PDE5 inhibitor and β-catenin modulator

QC result: Pass.