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Studying the genetic regulation of protein expression (through protein quantitative trait loci (pQTLs)) offers a deeper understanding of regulatory variants uncharacterized by mRNA expression regulation (expression QTLs (eQTLs)) studies. Here we report cis-eQTL and cis-pQTL statistical fine-mapping from 1,405 genotyped samples with blood mRNA and 2,932 plasma samples of protein expression, as part of the Japan COVID-19 Task Force (JCTF). Fine-mapped eQTLs (n = 3,464) were enriched for 932 variants validated with a massively parallel reporter assay. Fine-mapped pQTLs (n = 582) were enriched for missense variations on structured and extracellular domains, although the possibility of epitope-binding artifacts remains. Trans-eQTL and trans-pQTL analysis highlighted associations of class I HLA allele variation with KIR genes. We contrast the multi-tissue origin of plasma protein with blood mRNA, contributing to the limited colocalization level, distinct regulatory mechanisms and trait relevance of eQTLs and pQTLs. We report a negative correlation between ABO mRNA and protein expression because of linkage disequilibrium between distinct nearby eQTLs and pQTLs.
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http://dx.doi.org/10.1038/s41588-024-01896-3 | DOI Listing |
Front Genet
August 2025
Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Background: Prostatic diseases, consisting of prostatitis, benign prostatic hyperplasia (BPH), and prostate cancer (PCa), pose significant health challenges. While single-omics studies have provided valuable insights into the role of mitochondrial dysfunction in prostatic diseases, integrating multi-omics approaches is essential for uncovering disease mechanisms and identifying therapeutic targets.
Methods: A genome-wide meta-analysis was conducted for prostatic diseases using the genome-wide association studies (GWAS) data from FinnGen and UK Biobank.
Curr Med Chem
September 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No.14, 3rd Section of Ren Min Nan Rd., Chengdu, 610041, China.
Introduction: Current osteoporosis medications often prove ineffective for various reasons. Alongside optimizing available agents, new genetic targets should be proposed for drug development. Mendelian randomization (MR) may resolve throughput and confounding issues in traditional observational studies for druggable targets.
View Article and Find Full Text PDFJ Glob Health
August 2025
Background: Recent studies have established a connection between circadian rhythm disruption and the development of type 2 diabetes mellitus (T2DM), yet the underlying genetic mechanisms remain inadequately understood. This research aims to elucidate the causal relationships between circadian rhythm-related genes and T2DM by utilising a multi-omics approach.
Methods: The study employed the GeneCards database to identify genes associated with circadian rhythms.
Int J Ophthalmol
September 2025
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University; Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science; Guangdong Basic Research Center of Excellence for Major Blinding Eye Diseases Prevention and Treatment, Guangzhou 510060, Guangdong Pro
Aim: To investigate the role of RNA methylation in retinal pigment epithelial (RPE) cells in age-related macular degeneration (AMD).
Methods: RNA methylation-related gene expression profiles of AMD patient and normal control retinal pigment epithelium were evaluated by single-cell transcriptome from 34 samples (11 from normal donors and 23 from AMD patients). The causal relationship between RNA methylation dysfunction and AMD was analyzed by summary-data-based Mendelian randomization (SMR) using AMD GWAS data and multi-omics quantitative trait loci (QTL), including expression QTLs (eQTLs), protein QTLs (pQTLs), splicing QTLs (sQTLs), and mA-QTLs (mQTLs).
Endocr Metab Immune Disord Drug Targets
August 2025
Ningbo Municipal Hospital of TCM, Affiliated Hospital of Zhejiang Chinese Medical University, Ningbo, China.
Introduction: Jiangtang Decoction (JTD) demonstrates notable efficacy in managing Type 2 Diabetes Mellitus (T2DM) and Non-Alcoholic Fatty Liver Disease (NAFLD). This study aimed to elucidate JTD's causal targets and therapeutic mechanisms by integrating network pharmacology, Summary-data Mendelian Randomization (SMR), and molecular docking, complemented by validation.
Materials And Methods: JTD's targets were cross-matched with genes associated with T2DM or NAFLD.