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BACKGROUNDS: Ample evidence supports potential influence of age at menarche (AM) on adult height (AH), but multiple confounders may affect causal estimates. To address this issue, the Mendelian randomization (MR) analysis was used to explore the causal impacts of AM on AH. METHODS: Using data (n = 57,349) from the publicly accessible Taiwan Biobank and randomly splitting them into 2 equal-size subsets, we identified single nucleotide polymorphisms (SNPs) significantly associated with AM in the exploration subset and used these SNPs as instrumental variables to estimate the effects of instruments on AH in the validation subset based on two stage least squares (2SLS) regression. In addition, three more summary statistics-based approaches, namely inverse variance weighted (IVW), MR-Egger, and weighted median (WM) analyses, were used to verify the findings. We also performed heterogeneity and sensitivity analyses to evaluate the robustness of the results. RESULTS: We identified 4 leading SNPs associated with AM at the genome-wide significant level, whereas rs9409082 may exert some pleiotropic effects on AH. After eliminating rs9409082, the 2SLS analysis indicated that one year delay in genetically determined AM predicted 1.5 cm height gain in adulthood (ß = 1.508, 95% confidence interval [0.852, 2.163]). The causal relationship was also supported by WM (ß = 1.183, [0.329, 2.038]) and IVW (ß = 1.493, [0.523, 2.463]) methods. CONCLUSIONS: Evidence from the present MR study supports a causal relationship between later AM and taller AH.

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BACKGROUND: The "epileptic heart" concept is emerging, but the causal relationship between epilepsy and atrial fibrillation (AF) remains unclarified. OBJECTIVE: This study explores the genetic correlations and bidirectional causality between various epilepsy phenotypes and AF. METHODS: Genome-wide association study (GWAS) statistics for 10 epilepsy subtypes (29,944 cases, 52,538 controls) and AF (60,620 cases, 970,216 controls) were sourced from the International League Against Epilepsy (ILAE) and HGRI-EBI Catalog-GWAS, respectively. Linkage disequilibrium score regression (LDSC) and genome-wide Mendelian Randomization (MR) evaluated genetic correlations and bidirectional causal relationships. Epilepsy-related DNA methylation data (N= ∼800) from EWAS catalog were analyzed to identify causal CpG sites influencing AF risk through epigenetic MR. RESULTS: LDSC revealed significant genetic correlations between four epilepsy subtypes and AF (rg from 0.116 to 0.241). Forward MR suggested a significant causal effect of focal epilepsy with hippocampal sclerosis (FE with HS) on AF risk (IVW and MR-PRESSO: OR = 1.046, P ≤ 0.004), with results robust against heterogeneity, horizontal pleiotropy, and outliers. Epigenetic MR indicated that lower methylation at cg06222062 (OR = 0.994, P = 3.16E-04) mapped to PLA2G5 and cg08461451 mapped to SPPL2B gene (OR = 0.954, P = 1.19E-03), and higher cg10541930 in the C10orf143 promoter (OR = 1.043, P = 4.18E-22) increases AF risk. Sensitivity analyses affirmed no pleiotropic bias. CONCLUSION: FE with HS significantly increases AF risk, highlighting the natural neural-cardiac connection and the need for cardiac monitoring in epilepsy patients. Specific methylated CpG sites may serve as biomarkers and preventive targets for AF susceptibility.

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OBJECTIVES: Rheumatoid arthritis (RA) is sometimes complicated by interstitial lung disease (ILD) with a poor prognosis. A single nucleotide variant (SNV) in MUC5B was associated with ILD in European RA patients. However, associations of this SNV were not found in Japanese RA patients, because its frequency in Japanese populations is very low. We investigated the associations of candidate SNVs including the MUC5B variant with ILD in Japanese RA. METHODS: Genotyping of MUC5B rs35705950, MUC2 rs7934606, MAD1L1 rs12699415, and PPFIBP2 rs6578890 in Japanese RA patients was conducted for association analyses. RESULTS: MUC5B rs35705950 was associated with usual interstitial pneumonia (UIP) (p = 0.0039, Pc = 0.0156, odds ratio [OR] 10.66, 95% confidence interval [CI] 2.05-55.37) or ILD (p = 0.0071, Pc = 0.0284, OR 7.33, 95%CI 1.52-35.44) in Japanese RA under the allele model. MUC2 rs7934606 was associated with UIP (p = 0.0072, Pc = 0.0288, OR 29.55, 95%CI 1.52-574.57) or ILD (p = 0.0037, Pc = 0.0148, OR 22.95, 95%CI 1.27-416.13) in RA. Haplotype analyses suggested the primary association of MUC5B rs35705950 with UIP in Japanese RA. No significant association of MAD1L1 rs12699415 or PPFIBP2 rs6578890 with UIP, nonspecific interstitial pneumonia, or ILD in RA was observed. CONCLUSIONS: MUC5B rs35705950 is associated with, and might be involved in the pathogenesis of ILD, especially UIP, in Japanese RA.

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BACKGROUND: The relationships between various obesity measures and hypertensive disorders of pregnancy (HDP) remain inadequately explored, and their causal links are not well understood. This study aims to clarify these associations and investigate the mediating role of triglycerides. METHODS: We conducted a comprehensive meta-analysis of observational studies alongside Mendelian randomisation (MR) analysis to assess the impact of 10 obesity measures on HDP risk. Additionally, we evaluated the mediating effect of triglycerides. RESULTS: Our meta-analysis revealed significant associations between maternal prepregnancy overweight/obesity and increased risks of gestational hypertension (GH) (overweight: OR=1.98, 95% CI 1.83 to 2.15; obesity: OR=3.77, 95% CI 3.45 to 4.13) and pre-eclampsia (overweight: OR=1.78, 95% CI 1.67 to 1.90; obesity: OR=3.46, 95% CI 3.16 to 3.79). Higher maternal waist circumference (WC) was also linked to increased pre-eclampsia risk (OR=1.45, 95% CI 1.14 to 1.83). MR analyses indicated that each 1-SD increase in genetically predicted obesity measures (whole body fat mass, body fat percentage, trunk fat mass, trunk fat percentage, body mass index, WC, hip circumference) was associated with higher risks of GH and pre-eclampsia. Triglycerides mediated 4.3%-14.1% of the total genetic effect of these obesity measures on GH and pre-eclampsia risks. CONCLUSIONS: This study demonstrates that various obesity measures are causally linked to increased HDP risk and highlights the mediating role of triglycerides. These findings could inform clinical practices and public health strategies aimed at reducing HDP through targeted obesity and triglyceride management.

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INTRODUCTION: Post-traumatic stress disorder (PTSD) is a complex psychiatric disorder associated with adverse long-term health outcomes, including cardiovascular disease (CVD). Despite growing evidence that PTSD is positively associated with CVD, the biological mechanisms underlying this association are poorly understood. This review provides an overview of the current state of science on the genetic association between PTSD and CVD. MATERIAL AND METHODS: This scoping review identified studies from Pubmed, Embase, PsycINFO, and Web of Science. The search terms were a combination of PTSD, CVD/CVD-related traits, and a set of genetic molecules and related terms. This review followed the PRISMA Extension for Scoping Reviews guidelines. Eligible criteria included original studies that have genetic factors related to PTSD or CVD, conducted in humans, written in English, and published between 2003 and 2023 in peer-reviewed journals. RESULTS: A total of twenty-three studies were included; PTSD correlated with genetic variants in CVD-related traits and gene expression in regulatory pathways contributing to CVD development. Common CVD-related traits involved in genetic associations with PTSD were inflammation, cellular aging, increased blood pressure, hypothalamus-pituitary-adrenal axis dysregulation, metabolic syndrome, and oxidative stress. These traits may explain potential underlying mechanisms between PTSD and CVD. Evidence of a causal relationship between the two diseases was insufficient. DISCUSSION: PTSD and CVD/CVD-related traits are genetically associated. Further research is needed to comprehensively explore gene-environment interactions and the cumulative impact of behavioral and psychological factors on the pathophysiological mechanisms between PTSD and CVD.

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Objective: This study aimed to investigate the genetic link between variations in vertebral number and meat production traits, such as body weight and body measurements (body length, body height, heart girth, and shin width) in Mongolian (Bayantsagaan) sheep. Additionally, we examined the association of single-nucleotide polymorphisms (SNPs) in candidate genes, particularly Vertnin (VRTN), Nuclear receptor subfamily 6, group A, member 1 (NR6A1), and synapse differentiation-inducing 1-like (SYNDIG1L), with vertebral number variations and their potential impact on meat production traits. Materials and Methods: The study involved 220 Bayantsagaan sheep from Bayantsagaan soum, Tov province, Mongolia, including 104 sheep with extra vertebrae group and 116 individuals with typical vertebral number as the control group. Morphological data, including body weight and body measurements, were collected, and genetic samples were obtained. The impact of vertebral number on morphological traits was estimated using a general linear model. SNPs in the VRTN, NR6A1, and SYNDIG1L genes were sequenced, and their association with vertebral number was analyzed using one-way ANOVA. Results: Bayantsagaan sheep with extra vertebrae were, on average, 4.45 kg heavier and exhibited higher variability in body size traits compared to the control group. Four polymorphic sites were identified at the VRTN gene, with one polymorphic locus (VRTN1716) showing a significant association with vertebrae number and body size. Sheep with C/C genotype at VRTN1716 locus, had more vertebrae and larger body size compared to other genotypes. Conclusion: The findings suggest that variations in vertebral number and VRTN gene polymorphisms are linked to favorable meat production traits in Bayantsagaan sheep. The identified SNP (VRTN1716) associated with vertebral number and body size offers the potential for marker-assisted selection in breeding programs. These results provide valuable insights into the genetic basis of meat production traits in Bayantsagaan sheep and may contribute to the development of more efficient breeding strategies.

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Objective: To systematically summarize the published literature on the genetic variants associated with nonalcoholic fatty liver disease (NAFLD). Methods: Literature from Web of Science, PubMed, and Embase between January 1980 and September 2022 was systematically searched. Meta-analyses of the genetic variants were conducted using at least five data sources. The epidemiologic credibility of the significant associations was graded using the Venice criteria. Results: Based on literature screening, 399 eligible studies were included, comprising 381 candidate gene association, 16 genome-wide association, and 2 whole-exome sequencing studies. We identified 465 genetic variants in 173 genes in candidate gene association studies, and 25 genetic variants in 17 genes were included in the meta-analysis. The meta-analysis identified 11 variants in 10 genes that were significantly associated with NAFLD, with cumulative epidemiological evidence of an association graded as strong for two variants in two genes ( HFE, TNF), moderate for four variants in three genes ( TM6SF2, GCKR, and ADIPOQ), and weak for five variants in five genes ( MBOAT7, PEMT, PNPLA3, LEPR, and MTHFR). Conclusion: This study identified six variants in five genes that had moderate to strong evidence of an association with NAFLD, which may help understand the genetic architecture of NAFLD risk.

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Inbreeding depression (ID) is a major selective force during mating system evolution primarily contributed by highly to partially recessive deleterious mutations. Theories suggest that transient genetic association with fitness alleles can be important in affecting the evolution of alleles that modify the selfing rate during its sweep. Nevertheless, empirical tests often focus on the pre-existing genetic association between selfing rate and ID maintained under mutation-selection balance. Therefore, how this standing genetic association is affected by key factors and its impacts on the evolution of selfing remain unclear. I show that as the selection coefficient of deleterious mutations increases, the association between selfing rate and ID declines from positive to negative. These results predict that association between selfing and ID tends to be negative in populations with low selfing rates, while positive in highly selfing populations. Using population genetic and quantitative genetic models, I show that standing genetic associations between selfing rate and fitness alleles can significantly impact the evolution of the mean selfing rate of a population. I present better metrics of population-level ID, which can be calculated based on the correlation coefficient between individual selfing rate and the fitness of selfed and outcrossed offspring.

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Papillary thyroid cancer (PTC) is the most common type of thyroid malignancy with an increased female incidence ratio. The specific traits of X chromosome inheritance may be implicated in gender differences of PTC predisposition. The aim of this study was to investigate the association of two X-linked genes, Forkhead Box P3 (FOXP3) and Protein Phosphatase 1 Regulatory Subunit 3F (PPP1R3F), with PTC predisposition and gender disparity. One hundred thirty-six patients with PTC and an equal number of matched healthy volunteers were enrolled in the study. Genotyping for rs3761548 (FOXP3) and rs5953283 (PPP1R3F) was performed using polymerase chain reaction-restriction fragment length polymorphism assay (PCR-RFLP). The methylation status of FOXP3 was assessed using the combined bisulfite restriction analysis (COBRA) method. The SPSS software was used for statistical analyses. Gender stratification analysis revealed that the CA and AA genotypes and the A allele of FOXP3 rs3761548 variant are associated with PTC predisposition only in females. Moreover, different methylation status was observed up to the promoter locus of FOXP3 between PTC female patients, carrying the CA and CC genotype, and controls. Both revealed associations may explain the higher PTC incidence in females through reducing FOXP3 expression as reported in immune related blood cells.

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Background: Gestational diabetes mellitus (GDM) is a common condition observed globally, and previous studies have suggested a link between GDM and insomnia. The objective of this study was to elucidate the causative relationship between insomnia and GDM, and to investigate the influence of factors related to insomnia on GDM. Methods: We performed bidirectional Mendelian randomization (MR) analyses using single nucleotide polymorphisms (SNPs) as genetic instruments for exposure and mediators, thereby minimizing bias due to confounding and reverse causation. The Cochran Q test was utilized for heterogeneity analysis, MR-Egger regression for pleiotropy assessment, and the leave-one-out method for evaluating the robustness of the results. Additionally, we determined the causal relationships between GDM and other factors such as coffee consumption, alcohol intake, and household income. Results: Insomnia was positively associated with GDM, as indicated by 39 SNPs (OR = 1.27, 95 % CI 1.12-1.439, P-value = 0.008). Conversely, the MR analysis did not reveal any causal relationship between GDM and insomnia (OR = 1.032, 95 % CI 0.994-1.071, P-value = 0.99). Additionally, no causal relationship was observed between coffee consumption, alcohol intake, household income, and GDM (all P-values >0.05). Conclusion: Our study indicates that insomnia elevates the risk of GDM, thereby establishing a causal link with GDM, independent of coffee consumption, alcohol intake, and household income.

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This study aimed to identify SNPs in the intron, exon, and UTR regions of the FASN, DGAT1, and PPARGC1A genes and to investigate their possible association with milk yield and composition traits in the riverine buffalo of Bangladesh. A total of 150 DNA samples from riverine buffalo were used for PCR amplification with five pairs of primers, followed by association studies using a generalized linear model in R. SNP genotyping was performed by direct sequencing of the respective amplicon. Traits analyzed included DMY, fat%, protein%, and SNF%. This study identified 8 SNPs in FASN (g.7163G>A and g.7271C>T), DGAT1 (g.7809C>T and g.8525C>T) and PPARGC1A (g.387642C>T, g.387758A>G, g.409354A>G, and g.409452G>A). Genotypic and allelic frequencies differed significantly for each SNP genotype and did not follow the Hardy-Weinberg principle (p < 0.01 or p < 0.001) in most cases. The g.7163G>A and g.7271C>T SNP genotypes of the FASN gene were significantly associated with milk fat%, with the latter also significantly associated with SNF%. The g.8525C>T polymorphism of the DGAT1 gene significantly affected protein% (p < 0.01). Additionally, PPARGC1A gene polymorphisms showed significant associations: g.387642C>T with fat% (p < 0.05); g.387758A>G and g.409354A>G with protein% (p < 0.001) and SNF% (p < 0.01); and g.409452G>A with DMY (p < 0.001), fat% (p < 0.05), and protein% (p < 0.01). Reconstructed haplotypes of the PPARGC1A gene were significantly associated (p < 0.01) with all traits except SNF%. These findings suggest that polymorphisms in these three candidate genes have the potential as molecular markers for improving milk yield and composition traits in the riverine buffalo of Bangladesh.

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Variants in cis-regulatory elements link the noncoding genome to human pathology; however, detailed analytic tools for understanding the association between cell-level brain pathology and noncoding variants are lacking. CWAS-Plus, adapted from a Python package for category-wide association testing (CWAS), enhances noncoding variant analysis by integrating both whole-genome sequencing (WGS) and user-provided functional data. With simplified parameter settings and an efficient multiple testing correction method, CWAS-Plus conducts the CWAS workflow 50 times faster than CWAS, making it more accessible and user-friendly for researchers. Here, we used a single-nuclei assay for transposase-accessible chromatin with sequencing to facilitate CWAS-guided noncoding variant analysis at cell-type-specific enhancers and promoters. Examining autism spectrum disorder WGS data (n = 7280), CWAS-Plus identified noncoding de novo variant associations in transcription factor binding sites within conserved loci. Independently, in Alzheimer's disease WGS data (n = 1087), CWAS-Plus detected rare noncoding variant associations in microglia-specific regulatory elements. These findings highlight CWAS-Plus's utility in genomic disorders and scalability for processing large-scale WGS data and in multiple-testing corrections. CWAS-Plus and its user manual are available at https://github.com/joonan-lab/cwas/ and https://cwas-plus.readthedocs.io/en/latest/, respectively.

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Background: We have shown that genetic factors associating with motor progression of Parkinson's disease (PD), but their roles in cognitive function is poorly understood. One reason is that while cognitive performance in PD can be evaluated by various cognitive scales, there is no definitive guide indicating which tool performs better. Methods: Data were obtained from the Parkinson's Progression Markers Initiative, where cognitive performance was assessed using five cognitive screening tools, including Symbol Digit Modalities Test (SDMT), Montreal Cognitive Assessment, Benton Judgment of Line Orientation, Modified Semantic Fluency Test, and Letter Number Sequencing Test, at baseline and subsequent annual follow-up visit for 5 years. Genetic data including ApoE and other PD risk genetic information were also obtained. We used SPSS-receiver operating characteristic and ANOVA repeated measures to evaluate which cognitive assessment is the best reflecting cognitive performance in PD at early stage and over time. Logistic regression analyses were used to determine the genetic associations with the rapidity of cognitive decline in PD. Results: SDMT performed better in detecting mild cognitive impairment at baseline (AUC = 0.763), and SDMT was the only tool showing a steady cognitive decline during longitudinal observation. Multigenetic factors significantly associated with cognitive impairment at early stage of the disease (AUC = 0.950) with IP6K2 rs12497850 more evident, and a significantly faster decline (AUC = 0.831) within 5 years after motor onset, particularly in those carrying FGF20 rs591323. Conclusion: SDMT is a preferable cognitive assessment tool for PD and genetic factors synergistically contribute to the cognitive dysfunction in PD.

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Introducción: Las miopatías relacionadas con el receptor de rianodina de tipo 1 (RYR1-RM) constituyen la categoría más frecuente de miopatías congénitas. La introducción de técnicas genéticas ha cambiado el paradigma diagnóstico y sugiere la prioridad de estudios moleculares sobre biopsias. Este estudio busca explorar las características clinicoepidemiológicas de pacientes con variantes del gen RYR1 en un hospital pediátrico de tercer nivel con el objetivo de ampliar la comprensión de la correlación genotipo-fenotipo en las RYR1-RM. Pacientes y métodos: Estudio observacional, descriptivo y transversal, de pacientes menores de 14 años con síntomas miopáticos y variantes potencialmente patógenas del gen RYR1 entre enero de 2013 y diciembre de 2023, considerando variables como sexo, edad, desarrollo motor, variantes genéticas, patrón de herencia y otras manifestaciones. Todas las variables fueron tabuladas frente a la variante genética. Resultados: De los nueve pacientes incluidos, la incidencia estimada fue de aproximadamente 1/10.000 nacidos vivos. La mediana en el momento del diagnóstico fue de 6 años, con una variabilidad fenotípica significativa. Se observaron síntomas comunes, como debilidad y retraso del desarrollo motor. Las variantes genéticas afectaron al gen RYR1 de manera diversa, y hubo cinco variantes previamente no descritas. La biopsia muscular se realizó en cinco pacientes, en dos de ellos de tipo miopatía central core; en uno, multiminicore; en uno, desproporción congénita de fibras; y en otro, de patrón inespecífico. Conclusiones: Las RYR1-MR de nuestra serie ofrecieron variabilidad fenotípica y de afectación, con una incidencia en nuestra área de en torno a 1/10.000 recién nacidos. La mayoría de los casos fueron varones, de variantes missense dominantes. Aportamos cinco variantes genéticas no descritas con anterioridad.(AU)

Introduction: Ryanodine receptor type 1-related myopathies (RYR1-RM) represent the most prevalent category of congenital myopathies. The introduction of genetic techniques has shifted the diagnostic paradigm, suggesting the prioritization of molecular studies over biopsies. This study aims to explore the clinical and epidemiological characteristics of patients with RYR1 gene variants in a tertiary pediatric hospital, intending to enhance the understanding of the genotype-phenotype correlation in RYR1-RM. Patients and methods: An observational, descriptive, and cross-sectional study was conducted on patients under 14 years old with myopathic symptoms and potentially pathogenic RYR1 gene variants from January 2013 to December 2023. Variables such as gender, age, motor development, genetic variants, inheritance pattern, and other manifestations were considered. All variables were tabulated against the genetic variant. Results: Of the nine included patients, the estimated incidence was approximately 1 in 10,000 live births. The median age at diagnosis was six years, with significant phenotypic variability. Common symptoms such as weakness and delayed motor development were observed. Genetic variants affected the RYR1 gene diversely, including five previously undescribed variants. Muscle biopsy was performed in five patients, revealing central core myopathy in two, multiminicore in one, congenital fiber-type disproportion in one, and a nonspecific pattern in another.(AU)

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OBJECTIVES: Sleep disturbance has been associated with chronic widespread pain (CWP), but their causal relationship remains unclear. We aimed to examine the causal relationship and direction between CWP and sleep traits, namely insomnia, sleep duration and chronotype, using Mendelian Randomization. METHOD: We used genetic association data from ~0.5 million individuals and up to 1.8 million controls from the UK Biobank (UKB). All traits were defined predominantly by self-report. Short sleep duration was defined as average ≤6 hours per 24 hours. Chronotype refers to the inclination to sleep at certain times where some wake and go to bed early ('morning' person), and others wake and go to sleep later ('evening' person). To permit use of the largest available genetic association data, we used the Causal Analysis Using Summary Effect estimates (CAUSE) method, which allows for sample overlap. RESULTS: Insomnia (OR 1.009, 95% credible interval 1.005, 1.014; p = 0.018 that the causal model is a better fit than non-causal model) and short sleep duration (OR 1.060, 95%CrI 1.038, 1.083; p = 0.040) were causally associated with increased risk of CWP, with limited evidence for reverse causation. There was no evidence in support of long sleep duration or chronotype being associated with CWP. CONCLUSIONS: This study suggest that insomnia and short sleep duration (≤6 hours) are associated with an increased risk of CWP. Improving short sleep duration and insomnia, rather than chronotype, may be effective in reducing the risk of CWP, although these results should be replicated in epidemiological and interventional studies.

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Objective: Type 2 diabetes (T2D) and high blood pressure are the main causes of chronic kidney disease (CKD) in adulthood. Both metabolic and oxidative stresses driven by hyperglycemia as well as genetic factors have been suggested as pathogenic causes of renal failure. Some single nucleotide variants (SNVs) on gene coding KLOTHO (KL) have been implicated in several clinical scenarios including hypertension, diabetes, and cardiovascular disease. The aim of this study was to analyze the association of rs1207568 (-395G > A), rs953614 (+ 1062T > G) and rs564481 (+ 1818 C > T) SNVs with metabolic and renal function parameters in Mexican patients living with type 2 diabetes. Methods: A cross-sectional study was conducted in 637 Mexican patients with T2D, and/or hypertension without previous diagnosis of CKD. Anthropometric, metabolic, and renal function parameters were determined. Patients were genotyped for rs1207568, rs953614 and rs564481 SNVs and associations under a dominant genetic model were analyzed by logistic regression. Results: For rs9536314, G-allele showed to be protective for hypo-HDL-C, albuminuria, and CKD. Carriers of minor allele of rs564481 had low odds for high glucose levels. No differences in genotype nor allele frequencies between the patients and the reference population were observed. Conclusion: In Mexican patients living with type 2 diabetes, KL variant rs9536314 was found associated with low odds of hypo-HDL cholesterol, albuminuria and presence of CKD. Meanwhile the consensus of soluble KLOTHO measurement is reached, genetic variants in the KL gene could be considered as genetic markers for CKD susceptibility in patients at high-risk of vascular complications.

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Several single nucleotide polymorphisms (SNPs) in multiple interleukin receptor genes could be associated with asthma risk and/or phenotype. Interleukin-17 (IL-17) has been implicated in tissue inflammation and autoimmune diseases. As no previous studies have uncovered the potential role of IL17 receptor A (RA) gene variants in asthma risk, we aimed to explore the association of four IL17RA SNPs (i.e., rs4819554A/G, rs879577C/T, rs41323645G/A, and rs4819555C/T) with asthma susceptibility/phenotype in our region. TaqMan allelic discrimination analysis was used to genotype 192 individuals. We found that the rs4819554 G/G genotype significantly reduced disease risk in the codominant (OR = 0.15, 95%CI = 0.05-0.45, p < 0.001), dominant (OR = 0.49, 95%CI = 0.26-0.93, p = 0.028), and recessive (OR = 0.18, 95%CI = 0.07-0.52, p < 0.001) models. Similarly, rs879577 showed reduced disease risk associated with the T allele across all genetic models. However, the A allele of rs41323645 was associated with increased disease risk in all models. The G/A and A/A genotypes have higher ORs of 2.47 (95%CI = 1.19-5.14) and 3.86 (95%CI = 1.62-9.18), respectively. Similar trends are observed in the dominant 2.89 (95%CI = 1.47-5.68, p = 0.002) and recessive 2.34 (95%CI = 1.10-4.98, p = 0.025) models. For the rs4819555 variant, although there was no significant association identified under any models, carriers of the rs4819554*A demonstrated an association with a positive family history of asthma (71.4% in carriers vs. 27% in non-carriers; p = 0.025) and the use of relievers for >2 weeks (52.2% of carriers vs. 28.8% of non-carriers; p = 0.047). Meanwhile, the rs4819555*C carriers displayed a significant divergence in the asthma phenotype, specifically atopic asthma (83.3% vs. 61.1%; p = 0.007), showed a higher prevalence of chest tightness (88.9% vs. 61.5%; p = 0.029), and were more likely to report comorbidities (57.7% vs. 16.7%, p = 0.003). The most frequent haplotype in the asthma group was ACAC, with a frequency of 22.87% vs. 1.36% in the controls (p < 0.001). In conclusion, the studied IL17RA variants could be essential in asthma susceptibility and phenotype in children and adolescents.

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Despite uncertainty about the specific molecular mechanisms driving major depressive disorder (MDD), the Wnt signaling pathway stands out as a potentially influential factor in the pathogenesis of MDD. Known for its role in intercellular communication, cell proliferation, and fate, Wnt signaling has been implicated in diverse biological phenomena associated with MDD, spanning neurodevelopmental to neurodegenerative processes. In this systematic review, we summarize the functional differences in protein and gene expression of the Wnt signaling pathway, and targeted genetic association studies, to provide an integrated synthesis of available human data examining Wnt signaling in MDD. Thirty-three studies evaluating protein expression (n = 15), gene expression (n = 9), or genetic associations (n = 9) were included. Only fifteen demonstrated a consistently low overall risk of bias in selection, comparability, and exposure. We found conflicting observations of limited and distinct Wnt signaling components across diverse tissue sources. These data do not demonstrate involvement of Wnt signaling dysregulation in MDD. Given the well-established role of Wnt signaling in antidepressant response, we propose that a more targeted and functional assessment of Wnt signaling is needed to understand its role in depression pathophysiology. Future studies should include more components, assess multiple tissues concurrently, and follow a standardized approach.

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It is established that there are sex differences in terms of prevalence, age of onset, clinical manifestations, and response to treatment for a variety of brain disorders, including neurodevelopmental, psychiatric, and neurodegenerative disorders. Cohorts of increasing sample sizes with diverse data types collected, including genetic, transcriptomic and/or phenotypic data, are providing the building blocks to permit analytical designs to test for sex-biased genetic variant-trait associations, and for sex-biased transcriptional regulation. Such molecular assessments can contribute to our understanding of the manifested phenotypic differences between the sexes for brain disorders, offering the future possibility of delivering personalized therapy for females and males. With the intention of raising the profile of this field as a research priority, this review aims to shed light on the importance of investigating sex-genetic interactions for brain disorders, focusing on two areas: (i) variant-trait associations and (ii) transcriptomics (i.e. gene expression, transcript usage and regulation). We specifically discuss recent advances in the field, current gaps and provide considerations for future studies.

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BACKGROUND AND AIM: The dysbiosis of gut microbiota has been reported in acute pancreatitis. However, the direction and magnitude between host microbiota and pancreas remains to be established. This study investigated the association between gut microbiota and acute pancreatitis using Mendelian randomization (MR) methods. METHODS: Summary statistics of gut microbiota abundance and acute pancreatitis were extracted from genome-wide association studies (GWAS). The two-sample bidirectional MR design was employed to assess genetic association between the microbiota and pancreatitis, followed by a comprehensive sensitivity analysis to verify the robustness of the results. RESULTS: Seven microbiota taxa have been identified as significantly associated with the development of pancreatitis. Host genetic-driven order Bacteroidales and class Bacteroidia are associated with an increased risk of pancreatitis. The genera Coprococcus and Eubacterium fissicatena group also exhibit a positive effect on the development of pancreatitis, while the genera Prevotella, Ruminiclostridium, and Ruminococcaceae act as protective factors against pancreatitis. In contrast, acute pancreatitis was positively correlated with phylum Proteobacteria and genus Lachnospiraceae and negatively correlated with genus Holdemania. CONCLUSIONS: The bidirectional relationship between gut microbiota and acute pancreatitis suggests a critical role for host-microbiota crosstalk in the development of the disease. Targeted modulation of specific gut microbiota enables the prevention and treatment of acute pancreatitis.