Mapping methylation quantitative trait loci in cardiac tissues nominates risk loci and biological pathways in congenital heart disease

Potential Functions and Causal Associations of GNLY in Primary Open-Angle Glaucoma: Integration of Blood-Derived Proteome, Transcriptome, and Experimental Verification

Purpose

Genome-wide association studies (GWAS) have identified multiple genetic loci associated with primary open-angle glaucoma (POAG). However, the mechanisms by which these loci contribute to POAG progression remain unclear. This study aimed to identify potential causative genes involved in the development of POAG.

Methods

We utilized multi-dimensional high-throughput data, integrating proteome-wide association study(PWAS), transcriptome-wide association study (TWAS), and summary data-based Mendelian randomization (SMR) analysis. This approach enabled the identification of genes influencing POAG risk by affecting gene expression and protein concentrations in the bloodstream. The key gene was validated through enzyme-linked immunosorbent assay (ELISA) analysis.

Results

PWAS identified 86 genes associated with altered blood protein levels in POAG patients. Of these, eight genes (SFTPD, CSK, COL18A1, TCN2, GZMK, RAB2A, TEK, and GNLY) were identified as likely causative for POAG (P SMR < 0.05). TWAS revealed that GNLY was significantly associated with POAG at the gene expression level. GNLY-interacting genes were found to play roles in immune dysregulation, inflammation, and apoptosis. Clinical and cell-based validation confirmed reduced GNLY expression in POAG groups.

Conclusion

This study reveals GNLY as a significant potential therapeutic target for managing primary open-angle glaucoma.

Variation within the non-coding genome influences genetic and epigenetic regulation of the human leukocyte antigen genes

Variation within the non-coding genome may influence the regulation and expression of important genes involved in immune control such as the human leukocyte antigen (HLA) system. Class I and Class II HLA molecules are essential for peptide presentation which is required for T lymphocyte activation. Single nucleotide polymorphisms within non-coding regions of HLA Class I and Class II genes may influence the expression of these genes by affecting the binding of transcription factors and chromatin modeling molecules. Furthermore, an interplay between genetic and epigenetic factors may also influence HLA expression. Epigenetic factors such as DNA methylation and non-coding RNA, regulate gene expression without changing the DNA sequence. However, genetic variation may promote or allow genes to escape regulation by epigenetic factors, resulting in altered expression. The HLA system is central to most diseases, therefore, understanding the role of genetics and epigenetics on HLA regulation will tremendously impact healthcare. The knowledge gained from these studies may lead to novel and cost-effective diagnostic approaches and therapeutic interventions. This review discusses the role of non-coding variants on HLA regulation. Furthermore, we discuss the interplay between genetic and epigenetic factors on the regulation of HLA by evaluating literature based on polymorphisms within DNA methylation and miRNA regulatory sites within class I and Class II HLA genes. We also provide insight into the importance of the HLA non-coding genome on disease, discuss ethnic-specific differences across the HLA region and provide guidelines for future HLA studies.

Identifying novel risk genes in intracranial aneurysm by integrating human proteomes and genetics

Genome-wide association studies (GWAS) have become increasingly popular for detecting numerous loci associated with intracranial aneurysm (IA), but how these loci function remains unclear. In this study, we employed an integrative analytical pipeline to efficiently transform genetic associations and identify novel genes for IA. Using multidimensional high-throughput data, we integrated proteome-wide association studies (PWAS), transcriptome-wide association studies (TWAS), Mendelian randomization (MR) and Bayesian co-localization analyses to prioritize genes that can increase IA risk by altering their expression and protein abundances in the brain and blood. Moreover, single-cell RNA sequencing (scRNA-seq) of the circle of Willis was performed to enrich filtered genes in cells, and gene set enrichment analysis (GSEA) was conducted for each gene using bulk RNA-seq data for IA. No significant genes with cis-regulated plasma protein levels were proven to be associated with IA. The protein abundances of five genes in the brain were found to be associated with IA. According to cellular enrichment analysis, these five genes were expressed mainly in the endothelium, fibroblasts and vascular smooth muscle cells. Only three genes, CNNM2, GPRIN3 and UFL1, passed MR and Bayesian co-localization analyses. While UFL1 was not validated in confirmation PWAS as it was not profiled, it was validated in TWAS. GSEA suggested these three genes are associated with the cell cycle. In addition, the protein abundance of CNNM2 was found to be associated with IA rupture (based on PWAS, MR and co-localization analyses). Our findings indicated that CNNM2, GPRIN3 and UFL1 (CNNM2 correlated with IA rupture) are potential IA risk genes that may provide a broad hint for future research on possible mechanisms and therapeutic targets for IA.

Integrating GWAS and proteome data to identify novel drug targets for MU

Mouth ulcers have been associated with numerous loci in genome wide association studies (GWAS). Nonetheless, it remains unclear what mechanisms are involved in the pathogenesis of mouth ulcers at these loci, as well as what the most effective ulcer drugs are. Thus, we aimed to screen hub genes responsible for mouth ulcer pathogenesis. We conducted an imputed/in-silico proteome-wide association study to discover candidate genes that impact the development of mouth ulcers and affect the expression and concentration of associated proteins in the bloodstream. The integrative analysis revealed that 35 genes play a significant role in the development of mouth ulcers, both in terms of their protein and transcriptional levels. Following this analysis, the researchers identified 6 key genes, namely BTN3A3, IL12B, BPI, FAM213A, PLXNB2, and IL22RA2, which were related to the onset of mouth ulcers. By combining with multidimensional data, six genes were found to correlate with mouth ulcer pathogenesis, which can be useful for further biological and therapeutic research.

Differential newborn DNA methylation among individuals with complex congenital heart defects and childhood lymphoma

BACKGROUND

There is emerging evidence that children with complex congenital heart defects (CHDs) are at increased risk for childhood lymphoma, but the mechanisms underlying this association are unclear. Thus, we sought to evaluate the role of DNA methylation patterns on "CHD-lymphoma" associations.

METHODS

From >3 million live births (1988-2004) in California registry linkages, we obtained newborn dried bloodspots from eight children with CHD-lymphoma through the California BioBank. We performed case-control epigenome-wide association analyses (EWAS) using two comparison groups with reciprocal discovery and validation to identify differential methylation associated with CHD-lymphoma.

RESULTS

After correction for multiple testing at the discovery and validation stages, individuals with CHD-lymphoma had differential newborn methylation at six sites relative to two comparison groups. Our top finding was significant in both EWAS and indicates PPFIA1 cg25574765 was hypomethylated among individuals with CHD-lymphoma (mean beta = 0.04) relative to both unaffected individuals (mean beta = 0.93, p = 1.5 × 10-12 ) and individuals with complex CHD (mean beta = 0.95, p = 3.8 × 10-8 ). PPFIA1 encodes a ubiquitously expressed liprin protein in one of the most commonly amplified regions in many cancers (11q13). Further, cg25574765 is a proposed marker of pre-eclampsia, a maternal CHD risk factor that has not been fully evaluated for lymphoma risk in offspring, and the tumor microenvironment that may drive immune cell malignancies.

CONCLUSIONS

We identified associations between molecular changes present in the genome at birth and risk of childhood lymphoma among those with CHD. Our findings also highlight novel perinatal exposures that may underlie methylation changes in CHD predisposing to lymphoma.

Efficacy and Safety of Minimally Invasive Transcatheter Closure of Congenital Heart Disease under the Guidance of Transesophageal Ultrasound: A Randomized Controlled Trial

Objective

To investigate the efficacy of minimally invasive transcatheter closure of congenital heart disease (CHD) under the guidance of transesophageal ultrasound.

Methods

A total of 100 patients with CHD treated in our hospital from February 2019 to April 2020 were enrolled in the group. The patients were randomly divided into control group and research group. The control group received minimally invasive transcatheter closure under the guidance of X-ray, and the research group received minimally invasive transcatheter closure under the guidance of transesophageal ultrasound. The operative results, the intraoperative- and postoperative-related indexes, and the incidence of early postoperative complications and follow-up results were compared.

Results

First of all, we compared the results of the two groups: 48 cases of success, 2 cases of difficulty in the research group, 35 cases of success, 11 cases of difficulty, and 4 cases of failure in the control group. The success rate in the research group was higher than that in the control group (P < 0.05). Secondly, we compare the relevant indicators in the process of operation. The operation time, cardiopulmonary bypass time, upper and lower cavity obstruction time, and blood transfusion volume in the research group were lower than those in the control group (P < 0.05). In terms of postoperative-related indexes, the ventilator-assisted time, 24 h postoperative drainage, ICU time, and postoperative hospital stay in the research group were all lower than those in the control group (P < 0.05). The incidence of early postoperative complications in the research group was significantly lower than that in the control group such as secondary pleural hemostasis, pulmonary infection, pleural effusion, subcutaneous emphysema, poor incision healing, phrenic nerve loss, and right lower limb numbness (P < 0.05). All patients were followed up for 6 months, and the cardiac function of both groups returned to normal. There was no significant difference in the incidence of postoperative residual shunt and new tricuspid regurgitation. There was no significant difference in the data (P > 0.05). Considering abnormal ECG events, the incidence of abnormal ECG events (complete right bundle branch block, incomplete right bundle branch block, second- and third-degree block, left anterior branch block) in the research group was significantly lower than that in the control group (P < 0.05).

Conclusion

Minimally invasive transcatheter closure of CHD under the guidance of transesophageal ultrasound has the advantages of less trauma, less blood loss, short hospital stay, simple operation, less postoperative complications, and remarkable therapeutic effect. Minimally invasive transcatheter closure under the guidance of transesophageal ultrasound has the advantage of adapting to a wide range of syndromes and can be used for the closure of CHD in children. According to different types of CHD, registering the corresponding occlusive pathway can improve the success rate of operation. Through postoperative reexamination and regular follow-up, it is proved that minimally invasive transcatheter closure under the guidance of transesophageal ultrasound is safe, effective, and feasible.

Identifying causal genes for stroke via integrating the proteome and transcriptome from brain and blood

Background

Genome-wide association studies (GWAS) have revealed numerous loci associated with stroke. However, the underlying mechanisms at these loci in the pathogenesis of stroke and effective stroke drug targets are elusive. Therefore, we aimed to identify causal genes in the pathogenesis of stroke and its subtypes.

Methods

Utilizing multidimensional high-throughput data generated, we integrated proteome-wide association study (PWAS), transcriptome-wide association study (TWAS), Mendelian randomization (MR), and Bayesian colocalization analysis to prioritize genes that contribute to stroke and its subtypes risk via affecting their expression and protein abundance in brain and blood.

Results

Our integrative analysis revealed that ICA1L was associated with small-vessel stroke (SVS), according to robust evidence at both protein and transcriptional levels based on brain-derived data. We also identified NBEAL1 that was causally related to SVS via its cis-regulated brain expression level. In blood, we identified 5 genes (MMP12, SCARF1, ABO, F11, and CKAP2) that had causal relationships with stroke and stroke subtypes.

Conclusions

Together, via using an integrative analysis to deal with multidimensional data, we prioritized causal genes in the pathogenesis of SVS, which offered hints for future biological and therapeutic studies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-022-03377-9.

Detecting methylation quantitative trait loci using a methylation random field method

DNA methylation may be regulated by genetic variants within a genomic region, referred to as methylation quantitative trait loci (mQTLs). The changes of methylation levels can further lead to alterations of gene expression, and influence the risk of various complex human diseases. Detecting mQTLs may provide insights into the underlying mechanism of how genotypic variations may influence the disease risk. In this article, we propose a methylation random field (MRF) method to detect mQTLs by testing the association between the methylation level of a CpG site and a set of genetic variants within a genomic region. The proposed MRF has two major advantages over existing approaches. First, it uses a beta distribution to characterize the bimodal and interval properties of the methylation trait at a CpG site. Second, it considers multiple common and rare genetic variants within a genomic region to identify mQTLs. Through simulations, we demonstrated that the MRF had improved power over other existing methods in detecting rare variants of relatively large effect, especially when the sample size is small. We further applied our method to a study of congenital heart defects with 83 cardiac tissue samples and identified two mQTL regions, MRPS10 and PSORS1C1, which were colocalized with expression QTL in cardiac tissue. In conclusion, the proposed MRF is a useful tool to identify novel mQTLs, especially for studies with limited sample sizes.