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  • 3.1
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Genes

Genes is a peer-reviewed, open access journal of genetics and genomics published monthly online by MDPI. The Epigenetics Society (ES) and the Spanish Society for Nitrogen Fixation (SEFIN) are affiliated with Genes, and their members receive discounts on the article processing charges.

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All Articles (15,342)

  • Review
  • Open Access

Diabetic retinopathy (DR) is a clinically heterogeneous complication of diabetes, and substantial variability in therapeutic response remains a challenge in the management of diabetic macular oedema (DME) and other vision-threatening manifestations of DR. Although clinical and systemic factors improve treatment outcomes, genomic and epigenomic variation may provide additional evidence for individualised therapeutic strategies. This review critically examines current evidence linking genomic and epigenomic factors to therapeutic response in DR, with particular emphasis on pharmacogenomic findings related to anti-vascular endothelial growth factor (anti-VEGF) therapy. Evidence strength varies substantially across domains. The strongest direct pharmacogenomic evidence concerns exploratory genome-wide associations with anti-VEGF treatment outcomes in DME, whereas evidence for corticosteroid and laser response remains insufficient. Importantly, most reported associations remain preliminary, with limited replication, heterogeneous phenotypes and treatment regimens, and insufficient functional or prospective validation. Epigenomic mechanisms, including DNA methylation and non-coding RNAs, may contribute to treatment-response heterogeneity. However, direct relevance to therapeutic outcomes remains less well established than their role in DR pathogenesis. The review further considers methodological, translational, ethical, regulatory, and economic barriers to clinical implementation. It discusses integrating genomic and epigenomic information with retinal imaging, clinical variables, and artificial intelligence-based approaches. Overall, genomic and epigenomic markers represent a promising but currently exploratory component of precision ophthalmology. Progress toward clinical application will require reproducible associations, standardised response phenotypes, functional validation, multimodal predictive models, and prospective demonstration of clinical utility.

Genes

9 November 2026

Conceptual framework linking clinical and systemic factors, genomic variation, and epigenomic regulation to heterogeneity in therapeutic response in diabetic retinopathy. Clinical and systemic factors interact with genomic and epigenomic variation through biological pathways implicated in angiogenesis, inflammation, oxidative stress, extracellular matrix remodelling, and neurodegeneration. These interacting factors may contribute to interindividual differences in anatomical and functional treatment outcomes, including visual acuity, retinal thickness, retinal fluid, recurrence, treatment durability, and retreatment burden. The framework illustrates a potential path toward molecular stratification, multimodal prediction, and personalised treatment strategies in precision ophthalmology. Abbreviations: BCVA, best-corrected visual acuity; CMT, central macular thickness; CST, central subfield thickness; ECM, extracellular matrix; GWAS, genome-wide association studies; miRNAs, microRNAs; VEGF, vascular endothelial growth factor.
  • Review
  • Open Access

Our review develops a mechanistic hypothesis and does not describe an established pathway. The empirical premise on which it rests, that HPV E6 is expressed in endometrial tissue and degrades p53 at that site, has not been demonstrated in humans. Endometrial expression of leukaemia inhibitory factor (LIF) is required for blastocyst implantation, and in the mouse it is transcribed under the control of p53 acting at a response element in intron 1 that is conserved in the human gene. Human support for the same relationship is genetic rather than biochemical. The TP53 codon 72 polymorphism rs1042522 alters LIF transactivation and has been associated with implantation failure in several cohorts while showing no effect in the largest. Variation in LIF itself at rs929271, and in MDM2, MDM4 and USP7, has been associated with implantation and with later pregnancy maintenance. High-risk human papillomavirus brings a second genome into the same regulatory problem. The E6 oncoprotein recruits the E6-associated protein ubiquitin ligase and directs p53 to proteasomal degradation, and the efficiency of that reaction varies by more than two orders of magnitude across high-risk genotypes and again between natural sequence variants of HPV16 E6. Loss of p53 also raises DNMT1 and removes p53-dependent microRNAs, which places the axis inside the epigenetic programme of the cycling endometrium.

Genes

9 November 2026

Proposed HPV E6-p53-LIF axis in endometrial receptivity failure. High-risk HPV reaching the endometrium (1) would express E6 (2), which recruits E6AP and directs p53 for proteasomal degradation (3). Reduced p53 lowers transcription from the conserved response element in LIF intron 1 (4), diminishing glandular LIF available to the luminal epithelium (5), where LIFR-gp130 signalling and STAT3 phosphorylation confer receptivity through MSX1 (6). Two parallel arms bypass p53: E6-directed degradation of PDZ substrates disrupts tight junctions (7), and E6/E7 expression alters interferon-stimulated gene expression in trophoblast (8). Solid arrows, demonstrated experimentally; broken arrows, inferred from another tissue or species; question mark, not examined in any reproductive tissue. The TP53 codon 72 genotype modifies both the rate of p53 loss and the transcriptional output of remaining p53, and is predicted to modify the effect of steps 3 and 4 in opposite directions.
  • Systematic Review
  • Open Access

Background/objectives: TEX11 variants are an established cause of male infertility, particularly non-obstructive azoospermia (NOA) with meiotic arrest. However, the pathogenicity of many reported variants and their implications for sperm retrieval remain uncertain. We aimed to reassess TEX11 variant pathogenicity and evaluate evidence relevant to testicular sperm extraction (TESE). Methods: We systematically reassessed reported TEX11 variants by integrating clinical phenotype, testicular histology, computational predictions, functional evidence, and structural modelling of TEX11 interactions with its meiotic partners. Available sperm-retrieval data were also reviewed to assess their relevance for testicular sperm extraction (TESE). Results: Sixty-one unique variants were identified. After reassessment, 22 (36.1%) were classified as pathogenic or likely pathogenic, 27 (44.3%) as benign or likely benign, and 12 (19.7%) as variants of uncertain significance. Truncating variants accounted for most pathogenic variants and were predominantly associated with NOA and meiotic arrest. Among carriers with available histological data, meiotic arrest was the predominant finding (36/45, 80.0%), whereas individually documented sperm retrieval outcomes were limited, precluding reliable variant-specific predictions of TESE success or failure. Conclusions: These findings emphasize the distinction between molecular pathogenicity, histological impairment, and sperm retrieval prognosis. Current evidence does not support using TEX11 genotype alone to contraindicate TESE.

Genes

8 November 2026

PRISMA flow diagram of the literature search and study selection for the systematic review of TEX11 variants.
  • Article
  • Open Access

Background/Objectives: Chromatin organization reflects the coordinated activities of histone modifications and chromatin-associated proteins. Inspired by single-cell genomics, we investigated whether genomic bins could be treated as multidimensional observations to identify biologically interpretable chromatin-associated signatures and characterize their genomic patterns across cell types. Methods: We integrated genome-wide profiles of CTCF occupancy and four histone modifications (H3K27ac, H3K9ac, H3K27me3, and H3K9me3) at 1 kb resolution in HCT116 and K562 cells. Unsupervised dimensionality reduction and clustering were used to characterize chromatin-associated signatures. Principal component analysis (PCA) and integration with Hi-C data were used to examine differences between cell lines and associations with local genome architecture. Results: Five clusters of genomic bins were identified, characterized by H3K9me3-enriched, CTCF-enriched, acetylation-enriched, mixed repressive, and H3K27me3-enriched signatures. Among the selected features, H3K27me3 exhibited the greatest separation between HCT116 and K562 in the first two principal components, followed by CTCF. Integration with Hi-C data showed that CTCF-enriched regions were preferentially associated with previously annotated CTCF–CTCF chromatin loop anchors in both cell lines, consistent with the established architectural role of CTCF. Together, these findings highlight distinct chromatin-associated signatures and their relationships with higher-order genome architecture across the two cancer cell lines. Conclusions: Treating genomic bins as multidimensional observations provides a complementary exploratory approach for characterizing chromatin-associated signatures. Our findings illustrate its potential for comparing chromatin-feature organization between cell types and examining relationships with established features of three-dimensional (3D) genome architecture.

Genes

8 November 2026

Integration of chromatin-associated features identifies distinct genome-wide chromatin signatures. (A) Schematic overview of the analytical workflow. The human genome was partitioned into 1 kb bins, and ChIP-seq signals for CTCF, H3K27me3, H3K9me3, H3K27ac, and H3K9ac were quantified using datasets from HCT116 and K562 cells. Following signal filtering and Z-score normalization, each genomic bin was represented by a ten-dimensional feature vector comprising five chromatin-associated measurements from each cell line. (B) UMAP projection of genomic bins based on integrated CTCF and histone modification profiles from HCT116 and K562 cells. HDBSCAN clustering followed by Gaussian mixture modeling identified six clusters, of which the smallest was excluded for visualization purposes, leaving five clusters with distinct chromatin-associated signatures. (C) Chromosomal distribution and enrichment of genomic bins assigned to each of the five retained clusters. (D) Projection of CTCF and histone modification signals onto the UMAP embedding. Color intensity represents the normalized ChIP-seq signal for each chromatin-associated feature. (E) Chromatin-associated feature profiles and corresponding biological interpretations of the five retained clusters.

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Genes - ISSN 2073-4425