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PubMed2026

DNA methylation signatures in skeletal muscle associated with physical function in healthy older adults.

Despite the substantial variability in physical function among older adults, the molecular mechanisms remain poorly characterized, particularly within skeletal muscle. This study aimed to determine the patterns of DNA methylation in skeletal muscle associated with physical function in healthy older adults. We analyzed DNA methylation (EPIC v2 array; 875,554 CpG sites) in skeletal muscle from 92 healthy older adults (median age 74; 62% female). Associations were examined across five phenotypes: Short Physical Performance Battery (SPPB), 6-min walk test (6MWT), handgrip strength, perceived disability (PAT-D), and lifestyle health (modified Life's Essential 8). Linear regression models adjusted for age, sex, race, BMI, and muscle fiber composition. Genomic inflation corrected via the BACON method (FDR < 0.05). Gene set enrichment analysis was performed on suggestive hits (FDR < 0.1). We identified significant differentially methylated probes (DMPs) and regions (DMRs) across all phenotypes: SPPB (70 DMPs, 22 DMRs), 6MWT (16 DMPs, 566 DMRs), handgrip strength (2 DMRs), PAT-D (19 DMPs, 1 DMR), and lifestyle health (2 DMPs). DMRs largely overlapped promoters. Identified genes overlapped known musculoskeletal and neurological GWAS hits, including RUNX2 and FOXL1 (bone mineral density), IGFBP3 (muscle mass), and NEK1 and SHANK1 (neurological function). Enrichment analysis revealed that 6MWT-associated genes relate to nervous and skeletal system development, while handgrip-associated genes involve cytoskeletal dynamics and protein assembly. Epigenetic variation in aging skeletal muscle is associated with physical function. The enrichment of pathways related to nervous and musculoskeletal development suggests specific epigenetic mechanisms underlying functional decline, offering potential targets for intervention in older adults.

DNA methylation↗

PubMed2026

T2T and chromosome-level genome assemblies provide insights into the genetic basis of bioactive compound biosynthesis and environmental adaptation in licorice.

Licorice is an important medicinal herb worldwide, including three Chinese Pharmacopoeia species (Glycyrrhiza uralensis, G. inflata, G. glabra), with bioactive compounds crucial for disease treatment and industrial applications. However, the genetic mechanisms underlying the biosynthesis, diversification, and environmental adaptation of bioactive compounds in Glycyrrhiza species have long remained unclear. Herein, we assembled a gapless telomere-to-telomere (T2T) genome of G. uralensis with resolved telomeres and centromeres and three significantly improved high-quality chromosome-level Glycyrrhiza genomes, alongside a variation map of 188 wild accessions. Population analysis revealed evolutionary divergence among species, with selection signals linked to medicinal compound pathways. We identified 4CL5 as a key gene for stress response and compound synthesis. GWAS validation highlighted the GiPHL1-Gi4CL5 module's role in licochalcone A accumulation and enhanced stress adaptation in G. inflata. This study provides the first T2T Glycyrrhiza genome and insights into medicinal compound biosynthesis and environmental adaptation.

Glycyrrhiza↗

PubMed2026

Loss of chromosome Y in hematopoietic cells: mechanisms and implications for human disease.

The chromosome Y, once thought to function primarily in male reproduction, is now recognized to have broader biological roles. Hematopoietic loss of chromosome Y (LOY) is one of the most frequent somatic genomic alterations in male blood, with prevalence increasing markedly with age. Advances in technology have enabled robust detection of LOY in blood at both the population scale and the single-cell level. Hematopoietic LOY arises from mitotic chromosome mis-segregation and is influenced by inherited genetic variation, environmental exposures, and aging. Population-based genome-wide association study (GWAS) analyses have identified robust epidemiological associations between hematopoietic LOY and cardiovascular disease, brain disease, immune disorders, and cancer. Mechanistic studies demonstrate that LOY has functional consequences, including altered gene expression, immune dysregulation, and clonal expansion. Some findings are strongly supported by CRISPR-based LOY mouse and cellular models, which recapitulate key disease-related phenotypes. Collectively, these findings establish hematopoietic LOY as a biologically meaningful form of somatic mosaicism with important implications for disease susceptibility.

Humans↗

PubMed2025

Polycystic ovary syndrome and idiopathic central precocious puberty: two sides of the same coin?

PURPOSE: Several studies have reported an association between central precocious puberty (CPP) and a higher prevalence of polycystic ovary syndrome (PCOS), raising the hypothesis that CPP may act as an early-life indicator of increased PCOS risk. This review investigates the shared genetic, epigenetic, and environmental factors potentially underlying CPP and PCOS, with the aim of clarifying their connection and supporting advances in early detection and management. METHODS: A comprehensive literature review was conducted using the PubMed/MEDLINE database, prioritizing research from the past two decades, supplemented by key studies from earlier years. This research included studies on genetic and epigenetic factors, endocrine-disrupting chemicals (EDCs), and metabolic influences related to CPP and PCOS. Both original research and review articles were selected, focusing on the identification of pathophysiological mechanisms and risk factors linking these disorders. RESULTS: Genome-wide association studies (GWAS) have linked genetic variants in the kisspeptin and neurokinin B signaling pathways to increased gonadotropin-releasing hormone (GnRH) secretion, triggering early puberty. Moreover, increased GnRH pulsatility contributes to elevated luteinizing hormone (LH) levels, altered LH/follicle-stimulating hormone (FSH) ratios, and ovarian hyperandrogenism—key pathophysiological features of PCOS. Additionally, epigenetic modifications, particularly changes in DNA methylation at CpG sites, have been observed in both CPP and PCOS. A hyperandrogenic intrauterine environment and inadequate fetal growth contribute to prenatal epigenetic alterations, while postnatal factors such as obesity, insulin resistance, and exposure to EDCs further influence epigenetic modifications. Although insulin resistance and hyperandrogenism are central features linking CPP to PCOS, the precise mechanisms underlying these associations remain complex and not yet fully elucidated. CONCLUSIONS: Identifying shared genetic and environmental factors influencing early puberty onset and PCOS highlights the importance of close clinical monitoring in early life, though preventive interventions remain unproven. Further research is needed to clarify these mechanisms, which will support the development of more precise prevention and treatment strategies in clinical practice.

Humans↗

PubMed2026

Genetic determinants of obesity: mechanisms, clinical implications, and targeted therapies.

PURPOSE: Obesity is a major global health crisis with rising prevalence in both pediatric and adult populations, leading to an increased risk of cardiovascular, metabolic, and other chronic complications affecting all organ systems. A clear understanding of the genetic contributors to polygenic, syndromic, and monogenic obesity is essential for early diagnosis and targeted management. METHODS: Advances in genome-wide association studies (GWAS) and sequencing technologies have greatly expanded our understanding of the genetic alterations underlying this multifaceted disease and have helped in delivering personalized treatment. RESULTS: The pathogenesis of common, polygenic obesity is related to a complex interplay between genetic susceptibility and environmental factors. Syndromic obesity, a less common form, is characterized by early-onset accompanied by additional features such as developmental delay, dysmorphic traits, and various organ system involvement. The rarest form, monogenic obesity, is characterized by severe early-onset non-syndromic obesity caused by mutations in single genes regulating appetite within the hypothalamus. These monogenic obesity cases, though infrequent, have been instrumental in elucidating key pathways involved in hunger and satiety. CONCLUSION: This review provides a comprehensive summary of the most recent findings on the genetic basis of obesity across all age groups, highlighting clinical implications and emerging therapeutic opportunities.

Humans↗

PubMed2026

Integrative multi-omics analyses suggest a candidate microbial metabolite-associated host gene network in ulcerative colitis.

Ulcerative colitis (UC) is associated with gut microbial dysbiosis, but the host molecular alterations potentially linked to microbially derived metabolites remain incompletely understood. We integrated Mendelian randomization (MR), microbial metabolite annotation, computational target prediction, colonic transcriptomics, network analysis, and machine learning. MiBioGen microbiome GWAS data were used as exposures and FinnGen Release 12 ULCERENTER as the outcome. Metabolites linked to MR-prioritized taxa were retrieved from GutMGene, and human targets were predicted using SwissTargetPrediction and SEA. UC-related genes were defined by integrating differential expression analysis and WGCNA and then intersected with predicted metabolite targets. MR prioritized one family and eight genera showing nominal genetically supported associations with UC, but none remained significant after Benjamini-Hochberg FDR correction. Three prioritized genera were linked to 15 microbe-metabolite records, corresponding to 13 unique metabolites; nine were retained for target prediction, yielding 277 unique predicted human targets. Transcriptomic analysis identified 1,530 DEGs and a 312-gene MEgrey60 module, with 273 overlapping genes, producing 1,569 unique UC-related genes. Their intersection with the 277 predicted targets yielded 47 candidate genes. Enrichment analyses highlighted mainly metabolic and lipid-related processes. Random Forest showed the highest mean AUC across the two independent external benchmarking cohorts, and SHAP prioritized EPHX1, HSD17B2, IGFBP5, and MMP10. IBDome analysis showed inflammation-associated expression differences in these genes. This study provides a genomics-informed, hypothesis-generating framework that prioritizes candidate microbe-metabolite-host relationships in UC for future experimental validation.

Humans↗

PubMed2026

Genetic Evidence That Stroke Causally Increases Circulating PDGFB Levels: a Two-Sample Mendelian Randomization Study.

Platelet-derived growth factor subunit B (PDGFB) is a key regulator of vascular remodeling, angiogenesis, and blood-brain barrier integrity. Although elevated PDGFB levels have been reported after ischemic injury, whether stroke liability itself causally influences circulating PDGFB levels remains unclear. We performed a two-sample Mendelian randomization (MR) analysis to assess the causal effects of genetically predicted all stroke, ischemic stroke, and cardioembolic stroke on plasma PDGFB concentrations. Genetic instruments were obtained from large-scale GIGASTROKE genome-wide association studies, and outcome data were derived from a proteomics GWAS. Instruments were then filtered by removing variants associated with established cardiovascular risk factors in a phenome-wide screen and outliers identified by RadialMR. The inverse variance-weighted (IVW) method was used as the primary analysis, complemented by weighted median, weighted mode, and MR-Egger approaches. Sensitivity analyses included Cochran's Q statistics, MR-Egger intercept tests, single-SNP analyses, leave-one-out analyses, and MR-PRESSO. IVW analysis demonstrated a significant positive causal association between genetic liability to all stroke and plasma PDGFB levels (β = 0.209, SE = 0.062, 95% CI 0.088 to 0.331, p = 7.3 × 10-4). A similar association was observed for ischemic stroke (β = 0.155, SE = 0.059, 95% CI 0.039 to 0.270, p = 0.009), with directionally consistent results across sensitivity analyses. MR-Egger regression for ischemic stroke initially suggested pleiotropy.After removal of a radial-MR outlier (rs2289252), the intercept was attenuated and no longer statistically significant (- 0.0190, p = 0.282). In contrast, no evidence of a causal association was found between cardioembolic stroke liability and plasma PDGFB levels across all MR methods (β = - 0.078, SE = 0.087, 95% CI - 0.248 to 0.092, p = 0.368). These findings provide genetic evidence that liability to stroke, particularly ischemic stroke, is causally associated with increased circulating PDGFB levels, whereas cardioembolic stroke does not show such an effect. This suggests that elevated PDGFB reflects vascular responses specific to ischemic stroke rather than a general consequence of all stroke subtypes.

Humans↗

PubMed2025

Mendel randomization confirmed gastroesophageal reflux disease may increase the risk of mental disorders.

BACKGROUND: The potential causal relationship between gastroesophageal reflux disease (GERD) and mental disorder was analyzed using the mendelian randomization (MR) method. METHODS: Data are derived from genome-wide association study (GWAS) summary data, using gastroesophageal reflux disease (GERD) as the exposure factor. Single nucleotide polymorphisms (SNPs) significantly associated with GERD were selected as instrumental variables (IVs), and mental disorders (bipolar disorder, major depression, Alzheimer's disease, anorexia nervosa, anxiety, and obsessive-compulsive disorder) were used as outcome variables. The inverse variance weighted (IVW) method is used as the main analysis method, and MR-Egger regression, weighted median (WM) method, simple mode and weighted mode are used as supplementary methods for Mendelian randomization (MR) analysis. Cochran's Q test and P value are used to quantify heterogeneity, MR-Egger regression was used to evaluate the multilevel effect test of SNPs, and leave-one-out method to determine whether there are potential SNPs, and to evaluate the stability of the results. Odds ratio (OR) and 95% confidence interval (CI) were used as effect indicators to evaluate whether there is a causal relationship between GERD and mental disorders. RESULTS: IVW demonstrated a causal relationship between GERD and bipolar disorder (OR = 1.70, 95%CI = 1.39-2.09, P < 0.05) and anorexia nervosa (OR = 0.71, 95%CI = 0.52-0.99, P < 0.05). Furthermore, there is a weak causal relationship between GERD and major depression (OR = 1.01, 95%CI = 1.01-1.02, P < 0.05) and anxiety (OR = 1.01, 95%CI = 1.01-1.01, P < 0.05). Similarly, there is no evidence of a causal relationship between GERD and Alzheimer's disease (OR = 0.95, 95%CI = 0.87-1.03, P > 0.05) or obsessive-compulsive disorder (OR = 0.95, 95%CI = 0.67-1.36, P > 0.05). Cochran's Q test for heterogeneity shows that there is no significant heterogeneity (P > 0.05) for bipolar disorder, anxiety, and obsessive-compulsive disorder. However, major depression, Alzheimer's disease, and anorexia nervosa have some degree of heterogeneity (P < 0.05). Horizontal pleiotropic analysis showed that the P values for six mental disorders (0.750, 0.296, 0.154, 0.798, 0.893, 0.451) were all greater than 0.05. Leave-one-out analysis and funnel plot showed that MR analysis results can be considered relatively stable. All F are > 10, indicating no weak IVs bias. CONCLUSION: GERD can obviously increase the risk of bipolar disorder; the increased risk of anxiety disorder is very slight. There is no clear evidence to support the causal relationship between GERD and four other mental disorders, including major depression, Alzheimer's disease, anorexia nervosa, and obsessive-compulsive disorder.

Humans↗

PubMed2026

The Genetic Architecture of Chronic Cough: From Sensory Hypersensitivity to Treatable Trait.

Chronic cough is a prevalent global clinical disorder with substantial quality-of-life impairment, and refractory cases remain a major unmet medical need. Cough hypersensitivity syndrome is the core pathological mechanism of chronic cough, and growing genetic evidence has confirmed that inherited susceptibility shapes cough hypersensitivity, clinical heterogeneity and therapeutic responsiveness, redefining chronic cough as a biologically mediated sensory-neural disorder rather than a non-specific secondary symptom of airway diseases. This review summarises genetic evidence for chronic cough from family-based studies, pharmacogenomics and genome-wide association studies (GWAS), revealing distinct genetic architectures of chronic dry cough and sputum production, with enrichment of sensory-neural pathway variants and key genetic loci such as replication factor C subunit 1 (RFC1) functional genomic analyses link genetic variation to vagal afferent excitability, and rare genetic neurological disorders further illuminate the neurogenic basis of cough hypersensitivity. Moreover, genetic insights identify tractable treatable traits and rationalise antitussive drug development, supporting genotype-guided patient stratification. We conclude that integrating genetic architecture into clinical phenotyping and translational research provides a critical framework for precision management of chronic cough, and future progress relies on harmonised deep phenotyping and multi-ancestry genetic studies.

RFC1 gene↗

PubMed2025

Implementing a training resource for large-scale genomic data analysis in the All of Us Researcher Workbench.

A lack of representation in genomic research and limited access to computational training create barriers for many researchers seeking to analyze large-scale genetic datasets. The All of Us Research Program provides an unprecedented opportunity to address these gaps by offering genomic data from a broad range of participants, but its impact depends on equipping researchers with the necessary skills to use it effectively. The All of Us Biomedical Researcher (BR) Scholars Program at Baylor College of Medicine aims to break down these barriers by providing early-career researchers with hands-on training in computational genomics through the All of Us Evenings with Genetics Research Program. The year-long program begins with the faculty summit, an in-person computational boot camp that introduces scholars to foundational skills for using the All of Us dataset via a cloud-based research environment. The genomics tutorials focus on genome-wide association studies (GWASs), utilizing Jupyter Notebooks and the Hail computing framework to provide an accessible and scalable approach to large-scale data analysis. Scholars engage in hands-on exercises covering data preparation, quality control, association testing, and result interpretation. By the end of the summit, participants will have successfully conducted a GWAS, visualized key findings, and gained confidence in computational resource management. This initiative expands access to genomic research by equipping early-career researchers from a variety of backgrounds with the tools and knowledge to analyze All of Us data. By lowering barriers to entry and promoting the study of representative populations, the program fosters innovation in precision medicine and advances equity in genomic research.

Humans↗

PubMed2026

DNA Methylation-Mediated Regulation of TAGLN2 Expression Promotes Pulmonary Arterial Hypertension.

BACKGROUND: Succinylation, a key post-translational modification, is implicated in the metabolic reprogramming and vascular remodeling of pulmonary arterial hypertension (PAH). While epigenetic regulation, particularly DNA methylation, potentially governs succinylation-related gene expression, its causal links to PAH remain unclear. METHODS: We performed an integrative causal analysis using two-sample Mendelian randomization (MR) and summary-data-based MR (SMR) to identify succinylation-related genes that influence PAH risk. We leveraged PAH GWAS data (FinnGen) and gene expression quantitative trait loci (eQTLGen). Subsequently, methylation-mediated effect decomposition was applied using DNA methylation data (GoDMC) to explore epigenetic regulation. Experimental validation was conducted in lung tissues from a monocrotaline (MCT)-induced PAH rat model via quantitative reverse transcription polymerase chain reaction (qRT-PCR). RESULTS: Genetic analyses identified a significant causal effect of elevated Transgelin 2 (TAGLN2) expression on increased PAH risk. This effect was mediated by two specific DNA methylation sites, cg13892570 and cg16107628, which influenced PAH pathogenesis by regulating TAGLN2 transcription, with mediation proportions of 86.46 and 97.65%, respectively. Sensitivity analyses supported the robustness of these findings. Consistent with the genetic evidence, TAGLN2 mRNA was significantly upregulated in the lungs of MCT-induced PAH rats. CONCLUSIONS: This study establishes a clear epigenetic causal pathway in which DNA methylation regulates TAGLN2 expression to promote PAH. TAGLN2 is validated as a key disease driver and presents a promising target for diagnostic and therapeutic strategies in PAH.

Animals↗

PubMed2026

Ten millennia of purifying selection on HLA-B27 reveals an ancient epidemic-scale burden of spondyloarthritis in West Eurasia.

HLA-B27 exemplifies an evolutionary trade-off between protection against infection and susceptibility to inflammatory disease. To investigate its long-term population history, this study examined three HLA-B27-tagging variants-rs116488202, rs4349859, and rs116666910-in present-day populations from UK biobank and 1000 Genomes Project, and in 15,836 ancient West Eurasian individuals. The estimated frequency of HLA-B27 reached 49.0% approximately 8500 years before present, then declined progressively to 3.9% in the present-day reference population. Comparison with genome-wide association study (GWAS) data for ankylosing spondylitis (AS) showed that HLA-B27-linked alleles conferring increased disease risk had negative selection coefficients, indicating sustained selection against HLA-B27 over the past 10,000 years. The decline coincided with major Holocene changes in settlement and subsistence patterns, microbial exposure, and enteric infection, which may have increased the inflammatory costs of HLA-B27. Because previous paleopathological studies have largely been limited to identifying advanced skeletal manifestations of AS, this ancient genetic study may provide currently the most sensitive population-level record of an otherwise largely undetectable, epidemic-scale disease burden in antiquity. These findings support the hypothesis that HLA-B27-associated spondyloarthritis was sufficiently prevalent and severe to influence human evolution in prehistoric West Eurasia.

Humans↗

PubMed2026

Can Psychiatric Genetics Advance Without Incorporating a Life Course Perspective?

Psychiatric disorders unfold over the life course; however, genomic studies of these conditions overwhelmingly rely on phenotypes collected at a single time point, often in adulthood. Therefore, genome-wide association studies (GWASs) of psychiatric conditions may miss genetic variants with time-varying relevance to etiology, prevention, and treatment, such as those that influence trajectories of symptoms and behaviors, age at onset, course of treatment response, and the co-evolution of comorbidities. With recent advances in longitudinal biobanks and analytic tools, we posit that incorporating a life course perspective in psychiatric genetics will enable critically relevant insights into each of these areas of investigation. We propose that the current inconsistent portability of polygenic scores across age groups can be reconciled through the design of carefully considered longitudinal GWASs in age-diverse samples. Pioneering longitudinal GWASs in psychiatry have revealed novel genomic signals associated with time-dependent phenotypes that are distinct from those influencing lifetime diagnosis, suggesting that the study of longitudinal phenotypes will complement cross-sectional approaches and empower biological and therapeutic discoveries. Advances in post-GWAS functional annotation resources and analytic approaches now enable us to contextualize the genetic contributions to psychiatric disorders as dynamic age- and exposure-dependent processes. Although longitudinal GWASs pose unique challenges with regard to data availability, selection bias, and missing data, integrating temporality into psychiatric genetics at scale is now attainable and promises to reveal novel biology and therapeutic opportunities for psychiatric conditions.

Cohort study↗

PubMed2025

Alterations of gut microbiome in chronic rhinosinusitis: insights from a mendelian randomization study.

OBJECTIVE: Gut microbiome dysbiosis is associated with various diseases. Causal association between Chronic Rhinosinusitis (CRS) and gut microbiome is yet unknown. This study aimed to investigate the potential causal relationship between CRS and gut microbiome dysbiosis. METHODS: We used Genome-Wide Association Study (GWAS) data from FinnGen database for CRS. The Dutch Microbiome Project study provided data on gut microbiota species. A total of 334,182 individuals were included. Two-sample bidirectional Mendelian Randomization (MR) analysis was used to investigate causal relationship between CRS and gut microbiome. The main methods of evaluation were Inverse Variance Weighting (IVW), weighted median, weighted mode, and MR-Egger regression. Sensitivity analyses were performed to assess heterogeneity and pleiotropy. RESULTS: Forward MR analysis indicated CRS is potentially linked to decreased risk of Haemophilus parainfluenzae (OR = 0.79, 95% CI 0.66‒0.94, p = 0.009) and increased risk of Bilophila's (OR = 1.14, 95% CI 1.02-1.27, p = 0.023) within the gut. Reduced risks in gut microbiota-related pathways like UDP-N-acetyl-d-glucosamine biosynthesis I (OR = 0.85, 95% CI 0.77‒0.94, p = 0.002) and increased risk in pathway NAD biosynthesis I from aspartate (OR = 1.14, 95% CI 1.03-1.27, p = 0.010) were also linked to CRS. Reverse MR analyses, we obtained no positive results (p > 0.05/412). CONCLUSION: This study reveals CRS exerts a causal impact on shifts within the composition of the gut microbiome and also links to the changes of gut microbiota-related metabolic pathways. The risk of changes in gut microbiota should be of greater concern in patients with CRS than in the general population. LEVEL OF EVIDENCE: Mendelian Randomized (MR) studies are second only to randomized controlled trials in terms of the level of evidence.

Humans↗

PubMed2026

Exploring causal associations between autoimmune diseases and hearing loss: a mendelian randomization study.

OBJECTIVE: The causal relationship between Autoimmune Diseases (ADs) and Hearing Loss (HL) remains unclear. This study investigates whether genetic predispositions associated with ADs contribute to HL risk. METHODS: Mendelian Randomization (MR) analysis was conducted to explore the causal effects of ADs on HL. SNPs from Genome-Wide Association Studies (GWAS) were used as instrumental variables for ADs, including Rheumatoid Arthritis (RA), Type 1 Diabetes (T1D), Systemic Lupus Erythematosus (SLE), Sjögren's Syndrome (SS), Ankylosing Spondylitis (AS), Multiple Sclerosis (MS), Crohn's Disease (CD), and Ulcerative Colitis (UC). Outcome data included Sensorineural Hearing Loss (SNHL), Conductive Hearing Loss (CHL), Mixed conductive and sensorineural Hearing Loss (MHL), and Sudden Idiopathic Hearing Loss (SIHL). MR analyses employed Inverse Variance Weighted (IVW) as the primary method, supplemented with MR-Egger, weighted median, and weighted mode. Heterogeneity, pleiotropy, and sensitivity were evaluated using Cochran's Q test, MR-Egger regression, MR-PRESSO, and leave-one-out analysis. RESULTS: The IVW method identified nine significant associations: MS-SIHL (OR = 1.0494, 95% CI 1.0072-1.0934), AS-CHL (OR = 1.2832, 95% CI 1.0643-1.5472), AS-MHL (OR = 1.5994, 95% CI 1.3696-1.8678), AS-SNHL (OR = 1.1903, 95% CI 1.1104-1.276), AS-SIHL (OR = 1.481, 95% CI 1.22-1.798), SLE-CHL (OR = 1.0593, 95% CI 1.0116-1.1092), UC-MHL (OR = 1.0907, 95% CI 1.0027-1.1865), CD-CHL (OR = 1.0529, 95%CI: 1.0074-1.1005), and CD-SIHL (OR = 1.0597, 95% CI 1.0177-1.1034). Among these, outliers were detected only in AS-SNHL. After outlier removal, the AS-SNHL association remained significant (OR = 1.1722, p < 0.00001), with resolved heterogeneity and pleiotropy. No heterogeneity and pleiotropy were found for the other associations. CONCLUSION: This study identified nine significant AD-HL associations, emphasizing the need for targeted screening and management of HL in individuals with AD. LEVEL OF EVIDENCE: Level 5.

Humans↗

PubMed2026

Unraveling causal links between chronic rhinosinusitis and peripheral artery diseases: insights from genetic correlations through genome-wide association studies.

OBJECTIVES: Chronic Rhinosinusitis (CRS) shares epidemiological links with Cardiovascular Diseases (CVDs), however, their shared genetic basis remains unclear. We hypothesized that pleiotropic genetic variants underlie CRS-CVDs links via distinct biological pathways. METHODS: Using large-scale GWAS data from European-ancestry individuals, we assessed global and local genetic correlations. We applied Genomic Structural Equation Modeling (Genomic SEM) to dissect shared genetic architecture, performed bidirectional Mendelian Randomization (MR) to infer causality, and conducted cis-eQTL colocalization to identify shared genetic signals. Finally, in vitro endothelial models (HUVECs) validated the functional dynamics of candidate genes under CRS-mimicking inflammatory stress. RESULTS: CRS showed significant genetic correlations with multiple CVDs. Genomic SEM revealed a latent factor structuring shared genetic risk through three pathways: artery diseases, myocardial diseases, and heart failure. Local genetic correlations identified significant local genetic correlations specifically between CRS and Peripheral Atherosclerosis (PAS)/Peripheral Artery Disease (PAD) specifically within the chr6: 31.57‒33.24 Mb locus. MR demonstrated causal effects of CRS on PAD (OR = 1.23, p = 0.022) and PAS (OR = 1.21, p = 0.011), but not vice versa. Genetically predicted HLA-DRB1, APOM, and COL11A2 expression conferred protection, while HLA-DQA2 increased risk. Crucially, in vitro validation corroborated these pathogenic trajectories, inflammatory stress significantly downregulated the protective APOM and upregulated the risk-associated HLA-DQA2 alongside pro-atherogenic VCAM-1, while HLA-DRB1 exhibited a compensatory upregulation (p < 0.05). CONCLUSION: CRS shares global genetic liability with CVDs, structured through three primary etiological pathways. Causal effects of CRS on peripheral artery diseases are mediated by immune and lipid-related genes within the chr6 locus, revealing divergent pleiotropic mechanisms. Our integrated genetic and in vitro evidence provides a mechanistic framework wherein chronic mucosal inflammation contributes to systemic endothelial vulnerability, thereby highlighting candidate targets for mechanism-directed therapy.

Humans↗

PubMed2026

Large-Scale Neuroimaging and Genetic Analyses of the Human Thalamus in Loneliness.

BACKGROUND: Although loneliness is prevalent and significantly impacts society globally, its neural and genetic bases remain poorly understood. The thalamus, which receives sensory information from the environment, may have a more significant role in social interactions than previously recognized. Here, we integrate neuroimaging and genetic approaches to characterize structural differences within the thalamus associated with loneliness. METHODS: We obtained thalamic nuclei volumes on brain scans from 45,834 individuals (age range: 45-82 years) in the UK Biobank and grouped them into 6 anatomical groups. We investigated effects of loneliness and social isolation using self-reported data. Then, we performed a genome-wide association study (GWAS) analysis on the genetic overlap between thalamic volumes and loneliness. RESULTS: The volumes of the whole thalamus and its medial, lateral, and posterior nuclei are significantly reduced in individuals with loneliness compared with those who do not feel lonely. Loneliness with frequent social contact is associated with smaller volumes, whereas social isolation without loneliness shows no such reduction in thalamus volumes. Leveraging data from GWASs on thalamic volumes (n = 30,114) and loneliness (n = 370,342) in the UK Biobank, we identified shared loci between thalamus structure and loneliness. CONCLUSIONS: Our findings support the emerging view that the thalamus plays important roles in social interactions and in the experience of loneliness.

Genetic architecture↗

PubMed2026

Integrative multi-omics reveals a fibroblast-centered, ZFHX3-prioritized regulatory framework linking sick sinus syndrome and atrial fibrillation.

OBJECTIVE: To define shared genetic and multi-scale mechanisms underlying comorbidity between sick sinus syndrome (SSS) and atrial fibrillation (AF). METHODS: We integrated genome-wide association study (GWAS) summary statistics for SSS and AF with Genotype-Tissue Expression (GTEx) expression and splicing quantitative trait loci (eQTL/sQTL), atrial single-cell and spatial transcriptomics, and epigenomics. We identified trait-relevant tissues and pathways, prioritized shared cell types, quantified genome-wide and local genetic sharing, detected joint loci by cross-trait meta-analysis, and linked loci to regulatory programs via colocalization and cell-prioritized co-expression networks. RESULTS: Both traits showed strongest enrichment in cardiac tissue, especially Heart Atrial Appendage. Fibroblasts from the left atrial appendage were consistently prioritized as the key shared cell population. SSS and AF displayed significant positive genome-wide genetic correlation, with multiple locally shared regions, including six major loci. Cross-trait meta-analysis identified eight joint-phenotype SNPs implicating four susceptibility genes. ZFHX3 was the leading tissue-cell-gene candidate, acting as a hub in fibroblast co-expression modules and colocalizing with cardiac regulatory signals. CONCLUSION: Shared liability for SSS and AF is highly tissue- and cell-specific, converging on regulatory networks in atrial appendage fibroblasts, with ZFHX3 serving as a central mechanistic and biomarker node.

Humans↗