Search Results (140)

Vitamin D deficiency is highly prevalent in the Middle East despite abundant sunlight; however, most genetic studies have focused on common variants in Europeans only. We analyzed whole-genome sequences from 13,808 Qatar Biobank participants, evaluating rare variants (minor allele frequency 0.01–0.0001) for associations with serum 25-hydroxyvitamin D (25(OH)D) levels and deficiency risk (≤20 ng/mL) in independent discovery (n = 5885) and replication (n = 7767) cohorts, followed by meta-analyses. In quantitative analyses, the discovery cohort identified 41 genome-wide significant signals, including CD36 rs192198195 (p = 2.48 × 10⁻⁸), and replication found 46, including SLC16A7 rs889439631 (p = 2.19 × 10⁻⁸), implicating lipid metabolism pathways. In binary analyses, replication revealed POTEB3 rs2605913 (p = 2.8 × 10⁻⁸), while meta-analysis (n = 13,652) uncovered SLC25A37 rs952825245 (p = 5.15 × 10⁻¹²), a locus associated with cancer and vitamin D signaling. Rare-variant polygenic scores derived from discovery significantly predicted continuous (R² = 0.146, p = 9.08 × 10⁻¹²) and binary traits (AUC = 0.548, OR = 0.99, p = 9.22 × 10⁻⁶) in replication. This first rare-variant GWAS of vitamin D in Middle Easterners identifies novel loci and pathways, underscores the contribution of ancestry-specific rare alleles, and supports integrating rare and common variants to guide precision management in high-burden populations. Full article

Excessive abdominal fat deposition accompanying rapid growth in broiler chickens seriously affects production efficiency. Using divergently selected broiler lines from Northeast Agricultural University, we integrated transcriptome sequencing, whole-genome resequencing, and three-dimensional genomic data to identify key SNPs affecting abdominal fat deposition. From 3,850,758 initial SNPs, 22,721 high-quality SNPs were selected (|ΔAF| ≥ 0.9) and validated to obtain 7341 reliable SNPs. GWAS identified 16 SNPs significantly associated with abdominal fat weight, while LD analysis revealed 22 highly linked SNPs, finally determining 2302 candidate SNPs. Transcriptome analysis identified 825 differentially expressed genes (p ≤ 0.05, |FC| ≥ 1.5). Functional annotation revealed 201 SNPs located in differentially expressed gene regions, including 8 coding SNPs and 193 non-coding SNPs, with an additional 15 SNPs potentially regulating through long-range chromatin interactions. Mechanistic analysis showed that coding SNPs regulate gene expression by altering codon translation rates or mRNA stability, while non-coding SNPs regulate transcription by affecting transcription factor binding. Phenotypic association analysis demonstrated that all 213 SNPs can cause ≥2-fold differences in abdominal fat weight, with 182 SNPs causing ≥3-fold differences. This study successfully identified 213 functional SNPs affecting abdominal fat deposition in broilers and revealed their molecular basis for regulating fat metabolism through multiple mechanisms, providing important genetic markers for low-fat breeding in broilers. Full article

Understanding the genetic architecture of complex traits is crucial for crop improvement and molecular breeding. We developed a mutagenized soybean population using carbon ion beam irradiation and conducted genome-wide association studies (GWAS) to identify variants controlling key agronomic traits. Whole-genome resequencing of 199 M4 lines revealed 1.48 million SNPs, predominantly C→T transitions, with population structure analysis identifying three distinct genetic groups. GWAS across five traits revealed striking differences in genetic architecture: the podding habit showed extreme polygenic control with 87,029 significant associations of small effect, while pubescence color exhibited oligogenic inheritance with only 122 variants. Hundred-seed weight displayed moderate complexity (4637 associations) with the largest effect sizes (−3.74 to 5.03) and major QTLs on chromosomes 4, 7, and 15–20. Growth habit involved 12,136 SNPs, including a strong chromosome 3 association (−log₁₀(p-value) > 50). Flower color showed 2662 associations clustered on chromosome 15. Functional analysis of 18,542 candidate genes revealed trait-specific pathway enrichments: flavonoid biosynthesis for flower color, phloem transport for seed weight, auxin signaling for growth habit, and amino acid transport for podding habit. This study demonstrates how mutagenesis-induced variation, combined with association mapping, reveals evolutionary constraints that shape genetic architectures, providing insights for genetics-assisted breeding strategies. Full article

Glycerol-3-phosphate acyltransferases (GPATs) catalyze the initial and rate-limiting step of glycerolipid biosynthesis, yet their contribution to salt tolerance in the soybean (Glycine max (L.) Merr.) plants remains largely uncharacterized. In this study, a total of 27 GmGPAT genes were identified, and their evolutionary relationships, chromosomal distribution, conserved motifs, and cis-regulatory elements were comprehensively analyzed. Through transcriptomic and qPCR analyses, many GmGPATs were found to be predominantly expressed in roots, with GmGPAT1, a plastid-targeted isoform, displaying the most rapid and pronounced transcriptional activation under salt stress. GFP-fusion experiments in transient expression assays confirmed plastid localization of GmGPAT1. Heterologous expression in Escherichia coli together with enzyme kinetics analyses validated its enzymatic function as a GPAT family member. The soybean hairy-root lines overexpressing GmGPAT1 exhibited enhanced root elongation, increased biomass, and improved photosynthetic efficiency under 120 mM NaCl stress, while CRISPR/Cas9 knockout mutants showed pronounced growth inhibition. Physiological assays demonstrated that GmGPAT1 overexpression mitigated oxidative damage by limiting reactive oxygen species (ROS) accumulation and lipid peroxidation, increasing antioxidant enzyme activities (CAT, SOD, POD), and elevating the ratios of AsA/DHA and GSH/GSSG. These changes contributed to redox homeostasis and improved Na⁺ extrusion capacity. A genome-wide association study (GWAS) involving 288 soybean accessions identified a single nucleotide polymorphism in the GmGPAT1 promoter that was significantly correlated with salt tolerance, and the beneficial Hap1 allele emerged as a promising molecular marker for breeding. Together, these analyses emphasize the status of GmGPAT1 as a major regulator of salt stress adaptation through the coordinated modulation of lipid metabolism and redox balance, extend the functional annotation of the soybean GPAT family, and highlight new genetic resources that can be leveraged to enhance tolerance to salt stress in soybean cultivars. Full article

Osteoporosis is a multifactorial, polygenic disease characterized by reduced bone mineral density (BMD) and increased fracture risk. Genome-wide association studies (GWASs) have identified numerous loci associated with BMD and/or bone fractures, but functional characterization of these target genes is essential to understand the biological mechanisms underlying osteoporosis. This review focuses on current methodologies and key examples of successful functional studies aimed at evaluating gene function in osteoporosis research. Functional evaluation typically follows a multi-step approach. In silico analyses using omics datasets expression quantitative trait loci (eQTLs), protein quantitative trait loci (pQTLs), and DNA methylation quantitative trait loci (mQTLs) help prioritize candidate genes and predict relevant biological pathways. In vitro models, including immortalized bone-derived cell lines and primary mesenchymal stem cells (MSCs), are used to explore gene function in osteogenesis. Advanced three-dimensional culture systems provide additional physiological relevance for studying bone-related cellular processes. In situ analyses of patient-derived bone and muscle tissues offer validation in a disease-relevant context, while in vivo studies using mouse and zebrafish models enable comprehensive assessment of gene function in skeletal development and maintenance. Integration of these complementary methodologies helps translate GWAS findings into biological insights and supports the identification of novel therapeutic targets for osteoporosis. Full article

To identify the key genes conferring resistance to soybean cyst nematode race 4 (SCN4, Heterodera glycines), this study utilized 280 recombinant inbred lines (RILs) derived from the resistant cultivar Huipizhiheidou (HPD) and the susceptible cultivar Jindou23 (JD23). Through phenotypic characterization and a genome-wide association study (GWAS), a genomic region (Gm18:1,223,546–1,782,241) on chromosome 18 was mapped, yielding 14 candidate genes. GmPDH1 was validated as a critical resistance gene using reverse transcription quantitative PCR (RT-qPCR) and Kompetitive Allele Specific PCR (KASP) marker M0526. RT-qPCR revealed that GmPDH1 expression in HPD roots was upregulated 9 days post-inoculation with SCN4 compared to uninoculated controls. KASP genotyping showed that marker M0526 efficiently distinguished between resistant and susceptible plants in natural populations: 71.05% of the resistant accessions exhibited resistant or moderately resistant genotypes, whereas 81.03% of the susceptible accessions showed susceptible or highly susceptible genotypes. Functional validation demonstrated that overexpression of GmPDH1 significantly enhanced SCN4 resistance in the susceptible cultivars JD23 and Jack, whereas CRISPR/Cas9-mediated knockout of GmPDH1 in HPD attenuated its resistance. This study confirmed GmPDH1 as a key gene governing SCN4 resistance and developed an efficient molecular marker, M0526, providing theoretical insights and technical tools for dissecting nematode resistance mechanisms and advancing soybean disease-resistant breeding. Full article

Insulin resistance (IR) is a key mechanism underlying type 2 diabetes mellitus and is closely associated with obesity. Although numerous genome-wide association studies (GWASs) have identified variants that influence IR-related traits, it remains unclear whether the genetic architecture of IR differs according to obesity status. We conducted a stratified GWAS of the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) in 8906 Korean individuals from the Korean Genome and Epidemiology Study. Participants were categorized into a normal-weight group (Body Mass Index (BMI) ≤ 23 kg/m²) and an overweight or obese group (BMI > 23 kg/m²), and the GWAS was performed separately within each group. No significant genome-wide variants were identified in the normal-weight group; however, seven loci showed suggestive associations. In contrast, in the overweight and obese group, two loci, rs662799 in Apolipoprotein A5 (APOA5) and rs671 in Aldehyde Dehydrogenase 2 (ALDH2), showed genome-wide significance, with seven loci showing suggestive associations. The risk allele of rs662799 was associated with increased HOMA-IR values, with a stronger effect observed in the overweight and obese group. This finding aligns with the known role of APOA5 in triglyceride metabolism, suggesting that a higher BMI may exacerbate its effect on IR. These results highlight obesity-specific genetic susceptibility to IR and the need to consider obesity status in genetic studies of metabolic traits. Full article

Background: Asthma is one of the most prevalent chronic diseases, affecting more than 300 million individuals globally. Inhaled corticosteroids (ICSs) are recommended as the primary therapy for managing and preventing asthma symptoms in current treatment guidelines. However, long-term use of ICSs could lead to multiple side effects, including skin changes. Methods: We identified ICS target genes using DrugBank and DGIdb databases and derived genetic instruments from cis-eQTL data in whole-blood samples (n = 31,684). GWAS data for facial aging traits (n = 423,999) and plasma metabolites (1400 metabolites, n = 8000) were analyzed. DNA methylation QTL (mQTL) data were used to explore epigenetic regulation. Mendelian randomization (MR) and colocalization analyses were performed to assess causality and shared genetic loci. Results: MR analysis suggested a significant link between genetically proxied ICSs (ORMDL3) and face aging in the European population. Further mediation analysis indicated that 5-Hydroxylysine partially mediates the relationship between ICSs and face aging. In addition, our analysis revealed the pleiotropic association of some novel DNA methylation sites of ORMDL3 with face aging, suggesting the possible regulatory mechanism that are involved in face aging. Conclusions: These findings, while exploratory, raise the hypothesis that ICSs may impact face aging through upregulation of ORMDL3 expression and 5-hydroxylysine metabolism and highlight the need for further pharmacological and clinical research to validate these potential effects. Full article

This study aims to identify genetically influenced metabolites (GIMs) associated with SSBP and elucidate their regulatory pathways through metabolome genome-wide association studies (mGWASs). Untargeted metabolomics and genome-wide genotyping were performed on 54 participants from the Systematic Epidemiological Study of Salt Sensitivity (EpiSS). The mGWAS was conducted on 970 plasma metabolites, and their potential biological mechanisms were explored. The multivariable logistic regression model and mendelian randomization (MR) were employed to investigate the association and causal relationship between GIMs and SSBP. Metabolomic analysis was performed on 100 subjects in the replication analysis to validate the GIMs identified in the discovery set and their causal association with SSBP. The mGWAS revealed associations between 1485 loci and 18 metabolites. After performing linkage disequilibrium analysis, 368 independent mQTLs were identified and annotated to 141 genes. These functional genes were primarily implicated in the signal transduction of sinoatrial node and atrial cardiac muscle cells. Five key genes were identified using CytoHubba, including CAMK2A, TIAM1, RYR2, RBFOX1, and NRXN3. One-sample MR analysis revealed 14 GIMs with causal associations to SSBP, with LysoPC (0:0/22:5n-3) positively associated with SSBP (p < 0.05). The causal relationship between Phe-lle and SSBP was validated in the replication analysis. This study elucidates the genetic regulatory mechanisms underlying metabolites and identifies GIMs that are causally associated with SSBP. These findings provide insights into identifying metabolic biomarkers of SSBP and characterizing its genetic and metabolic regulation mechanisms. Full article

The number of mummies (MUM) in pigs is a major factor affecting sow reproductive performance. Reducing the incidence of MUM can effectively improve sow utilization efficiency. However, the complex mechanisms by which the host genome, gut microbiome, and metabolome interact to influence sow MUM remain unclear. Based on the current research landscape, this study systematically reveals the regulatory mechanisms of the host genome–gut microbiome-metabolome interaction network on sow MUM. By conducting a multi-omics analysis on the intestinal contents of Yorkshire sows during late gestation across different parities, we constructed a dynamic atlas of the gut microbiota and identified 385 core microbial taxa. Through multi-model MWAS and meta-analysis, we screened six key microbial taxa significantly associated with MUM, including Bacteroidales_RF16_group, Prevotellaceae_Ga6A1_group, Comamonas, Paraprevotella, Dorea, and Gallicola. An mGWAS analysis further identified Bacteroidales_RF16_group as regulated by host genetics, as well as candidate genes such as EGF, ENPEP, and CASP6, and important SNP loci such as rs345237235 and rs3475666995. The study found that the abundance of Proteobacteria in the sow’s gut increased progressively from the first parity, providing a theoretical basis for pathogen suppression mechanisms. By integrating fecal metabolomics data, we constructed a four-dimensional regulatory network of host gene–gut microbiota–metabolite–host phenotype. This study innovatively combines quantitative genetics with multi-omics approaches, not only providing a theoretical foundation for understanding host–microbiota interaction mechanisms but also offering critical scientific guidance for reducing sow MUM incidence and improving reproductive efficiency. Full article

ABA Insensitive 5 (ABI5) is a basic leucine zipper (bZIP) transcription factor (TF) that plays a critical role in seed dormancy and germination, particularly under stress conditions. This study identified ABI5 as an important candidate gene regulating seed germination under drought stress during early germination in rapeseed (Brassica napus L.) seeds through Genome-Wide Association Study (GWAS). Using Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein 9 (CRISPR/CAS9) technology, ABI5 mutant plants were generated, showing higher germination rates and more developed root systems at 72 h. Transcriptomic analysis of wild-type (WT) and mutant seeds under water, 2μM of abscisic acid (ABA), and 10% PEG treatments after 0, 24, 48, and 72 h revealed complex changes in gene regulatory networks due to ABI5 mutation. Differential expression analysis showed that the number of downregulated differentially expressed genes (DEGs) in the mutant was significantly higher than upregulated DEGs at multiple time points and treatments, indicating a negative regulatory role for ABI5 in gene expression. Weighted Gene Co-Expression Network Analysis (WGCNA) revealed that genes related to ABA content, such as those in the glutathione metabolism pathway, were similarly downregulated in the ABI5 mutants. Key genes, including BnA03g0120550.1 (GST), BnA09g0366300.1 (GST), BnA10g0413960.1 (gshA), and BnC02g0518750.1 (GST), were identified as potential candidates in ABI5-regulated drought responses. Additionally, TFs involved in regulating the glutathione metabolism pathway were identified, providing insights into the collaboration of ABI5 with other TF. This comprehensive transcriptomic analysis of ABI5 mutant plants highlights how ABI5 affects gene expression in multiple pathways, impacting seed germination and drought resistance, offering a foundation for improving drought tolerance in rapeseed. Full article

Background: Although mTOR has long been regarded as a promising target for cancer treatment, the efficacy of mTOR inhibitors in most clinical trials has been rather limited. Nevertheless, their favorable safety profile has opened up opportunities for drug repurposing, even as their potential applications across various diseases remain largely unexplored. Methods: We performed an MR-PheWAS analysis across 1431 phenotypes to explore drug repurposing opportunities. We analyzed GWAS data of 452 plasma metabolites, 731 immune traits, and 412 gut microbiota to uncover potential mechanisms for the causal link between the mTOR gene and body mass index (BMI). Results: A causal link between mTOR gene expression and BMI has been established. Additionally, mTOR-related vulnerabilities associated with BMI, including alterations in metabolites, immune traits, and gut microbiota, were identified. Conclusions: The identified causal relationship between mTOR and BMI suggests novel potential non-cancer applications for mTOR inhibitors. Full article

Background: As a complicated endocrine condition, polycystic ovarian syndrome affects around 20% of women who are of reproductive age. It is linked to an increased risk of endometrial cancer, cardiovascular diseases, mental illnesses, non-alcoholic fatty liver disease, metabolic syndrome, and Type 2 diabetes. Despite numerous genetic studies identifying several susceptibility loci, these only account for approximately 10% of the hereditary factors contributing to PCOS, leaving its etiology largely unknown. While genome-wide association studies (GWAS) have been conducted on various populations to identify SNPs linked to PCOS risk, no such study has been reported in Tabuk. Thus, this study aims to investigate the association of a glutathione S-transferase M1 (GSTM1) deletion, VEGF gene (I/D) insertion/deletion, and VEGF-2578 gene polymorphism with polycystic ovarian syndrome. Methodology: In this research study (case-control), we utilized the ARMS-PCR to determine and analyze the polymorphic variants of VEGF-2578 C/A (rs699947). We employed multiplex PCR for the GSTM1 deletion and MS-PCR (mutation specific PCR) for the vascular endothelial growth factor gene insertion/deletion. Results: The findings indicated statistically significant differences in various biochemical and endocrine serum biomarkers, including lipid profiles (cholesterol, HDL, and LDL), Type 2 diabetes markers (HOMA-IR (Homeostatic Model Assessment for Insulin Resistance), free insulin fasting glucose), and hormone levels (testosterone, LH, progesterone and FSH) in PCOS patients. Specifically, regarding the GSTT1 genotype, individuals with the GSTT1-null genotype had an odds ratio (OR) of 4.16 and a relative risk (RR) of 2.14 compared to those with the GSTT1 genotype, with statistically significant differences (p = 0.0001). However, for the GSTM1 genotype, there was a statistically significant difference (p = 0.0002) in the OR and RR for the GSTM1-null genotype, which were 2.66 and 1.64, respectively. Protective effects were observed for individuals with either GSTT1 (+) GSTM1 (−) or GSTT1 (−) GSTM1 (+) genotypes, as well as for those with both null genotypes, yielding an OR of 0.41 and p < 0.003. The VEGF rs699947 C>A gene variation showed a statistically significant association between PCOS patients and controls (p < 0.020), with the A allele frequency higher among PCOS patients (0.42 vs. 0.30). Similarly, the VEGF rs4646994 I>D gene variation exhibited a statistically significant difference (p < 0.0034), with the D allele being more frequent in PCOS patients (0.52 vs. 0.35). The VEGF-A allele was strongly linked to PCOS susceptibility in the allelic model, exhibiting an OR of 1.62, RR of 1.27, and p < 0.007, while in the allelic comparison, the OR was 1.71, the RR was 1.32, and p < 0.004. Conclusions: This study concluded that null genotypes at rs4025935 and rs71748309, an insertion deletion at rs4646994, and the A allele of rs699947 were significantly associated with PCOS predisposition in our population and these could serve as potential loci for PCOS predisposition. To the best of our knowledge, it is the first study to highlight the association between these genetic variations and the predisposition of PCOS in our populations. Large-scale case-control studies in the future are required to confirm these results. Full article

Background: In the United States, approximately 1 in 5 children experience comorbidities with mental illness, including depression and anxiety, which lead to poor general health outcomes. Adolescents with substance use disorders exhibit high rates of co-occurring mental illness, with over 60% meeting diagnostic criteria for another psychiatric condition in community-based treatment programs. Comorbidities are influenced by both genetic (DNA antecedents) and environmental (epigenetic) factors. Given the significant impact of psychiatric comorbidities on individuals’ lives, this study aims to uncover common mechanisms through a Genome-Wide Association Study (GWAS) meta-meta-analysis. Methods: GWAS datasets were obtained for each comorbid phenotype, followed by a GWAS meta-meta-analysis using a significance threshold of p < 5E−8 to validate the rationale behind combining all GWAS phenotypes. The combined and refined dataset was subjected to bioinformatic analyses, including Protein–Protein Interactions and Systems Biology. Pharmacogenomics (PGx) annotations for all potential genes with at least one PGx were tested, and the genes identified were combined with the Genetic Addiction Risk Severity (GARS) test, which included 10 genes and eleven Single Nucleotide Polymorphisms (SNPs). The STRING-MODEL was employed to discover novel networks and Protein–Drug interactions. Results: Autism Spectrum Disorder (ASD) was identified as the top manifestation derived from the known comorbid interaction of anxiety, depression, and attention deficit hyperactivity disorder (ADHD). The STRING-MODEL and Protein–Drug interaction analysis revealed a novel network associated with these psychiatric comorbidities. The findings suggest that these interactions are linked to the need to induce “dopamine homeostasis” as a therapeutic outcome. Conclusions: This study provides a reliable genetic and epigenetic map that could assist healthcare professionals in the therapeutic care of patients presenting with multiple psychiatric manifestations, including anxiety, depression, and ADHD. The results highlight the importance of targeting dopamine homeostasis in managing ASD linked to these comorbidities. These insights may guide future pharmacogenomic interventions to improve clinical outcomes in affected individuals. Full article

Background/Objectives: Ischemic arterial stroke (AIS) is a cerebrovascular event that can occur acutely within the first hours or days of life, presenting as a neurological emergency. To date, clearly defined genetic risk factors for AIS have not been established, although certain genes involved in cerebrovascular regulation mechanisms are suspected to play a role. The Interferon Regulatory Factor 6 (IRF6) gene is a transcription factor involved in craniofacial and epidermal development. Recently, pathogenic variants of IRF6 have been implicated in the cytoprotective pathway of ischemic cerebrovascular disease. The aim of this manuscript is to further support the already-reported association between IRF6 and AIS. Materials and Methods: Genetic counseling and exome sequencing analysis were conducted for diagnostic purposes. Results: We report the case of a female newborn with palatoschisis, cleft palate, sensorineural deafness, facial dysmorphisms, and cutaneous defects who suffered an ischemic stroke in the territory of the left middle cerebral artery on day 1 of life. Family and pregnancy histories revealed no identifiable risk factors, and coagulation studies were normal. Exome sequencing identified a de novo c.1124T>C (p.Phe375Ser) variant in the IRF6 gene. The child developed right spastic hemiplegia and began motor rehabilitation therapy. Recently, a genome-wide association study (GWAS) using m6A-SNPs identified a statistical association between AIS and a single nucleotide polymorphism (SNP) that influences the expression of the IRF6 gene as an expression quantitative trait locus (eQTL). Conclusions: To our knowledge, this is the first report of neonatal ischemic stroke in a child carrying a de novo IRF6 pathogenic variant, further supporting its potential role as a genetic factor influencing cerebrovascular events. Further studies are needed to elucidate the precise relationship between IRF6 and AIS. Full article