ArticleAmerican journal of clinical and experimental urology2024
A Mendelian randomisation approach to explore genetic factors associated with erectile dysfunction based on pooled genomic data.
Article in American journal of clinical and experimental urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenetic factors are thought to play a major role in erectile dysfunction (ED), but the search for specific ED-related genes remains a mysterious area characterised by limited and inconclusive research.
methodsWhole blood expression quantitative trait loci (eQTLs) and the GWAS data related to the genetics of ED are derived from a Finnish database, Finngen, which contains a dataset of 1154 cases and 94024 controls, culminating in a total of 95178 individuals under scrutiny. Based on these pooled data, a Mendelian randomisation (MR) analysis of ED was performed. Subsequent analyses of PPI and single cell type expression help identify potential pathogenic genes, revealing the function of genes and their association with phenotypes.
resultsAfter SMR analysis, 110 ED-associated genes were screened, of which MDM4 Degree had the highest value with an OR of 1.8453076, was displaced on chromosome 1, and had a risk of promoting ED. Single-cell sequencing analysis results demonstrate the expression of the MDM4 gene in six cell types, further confirming the role of the MDM4 gene in ED.
conclusionsOur study showed that among the 110 genes associated with ED, MDM4 was highly associated with an increased risk of ED. These findings strongly support personalised treatment strategies decision-making for ED patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.