The aim of this study was to identify genes distinctively expressed or suppressed in childhood leukemia with different prognoses, using cDNA microarray and quantitative reverse transcription-polymerase chain reaction (RT-PCR). The expression levels of the selected genes by cDNA microarray were quantified in primary leukemic blasts from 44 patients (acute lymphoblastic leukemia, 28; acute myelogenous leukemia (AML), 13; transient myeloproliferative disorder, 3). The expression levels of CDKN2C, CRADD, and IGFBP-2 genes were significantly associated with the event-free survival of the patients in AML. The present results suggest that a combination of cDNA microarray and quantitative RT-PCR may be useful to identify novel genes with prognostic value in childhood AML.
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http://dx.doi.org/10.1080/08880010500457780 | DOI Listing |
Annu Rev Pharmacol Toxicol
January 2025
Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA; email:
Although human genetics has substantial potential to illuminate novel disease pathways and facilitate drug development, identifying causal variants and deciphering their mechanisms remain challenging. We believe these challenges can be addressed, in part, by creatively repurposing the results of molecular trait genome-wide association studies (GWASs). In this review, we introduce techniques related to molecular GWASs and unconventionally apply them to understanding , a human coronary artery disease risk locus.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Department of Endocrinology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Objective: Previous observational studies suggest a potential link between gut microbiota, metabolites, and diabetic nephropathy. However, the exact causal relationship among these factors remains unclear.
Method: We conducted a two-sample bidirectional Mendelian randomization study using summary statistics from the IEU OpenGWAS Project database to investigate gut microbiota, metabolites, and diabetic nephropathy.
Anim Genet
February 2025
College of Animal Science and Technology, Southwest University, Chongqing, China.
Goats typically have double coats, with the outermost coarse hairs providing protection against mechanical and radiation damage. While much attention has been paid to cashmere due to its status as a high-end textile material, there is limited information available on coarse hair. This study aimed to identify genomic variants, such as single nucleotide polymorphisms (SNPs) and insertion/deletions (indels), associated with coarse hair diameter using a genome-wide association study (GWAS).
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, 308 Ningxia Road, Qingdao, 266071, Shandong, People's Republic of China.
Background: DNA methylation (DNAm) has been shown in multiple studies to be associated with the estimated glomerular filtration rate (eGFR). However, studies focusing on Chinese populations are lacking. We conducted an epigenome-wide association study to investigate the association between DNAm and eGFR in Chinese monozygotic twins.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Academic Research, The Second Hospital of Shandong University, Jinan, Shandong, China.
Background: To elucidate the genetic and molecular mechanisms underlying psoriasis by employing an integrative multi-omics approach, using summary-data-based Mendelian randomization (SMR) to infer causal relationships among DNA methylation, gene expression, and protein levels in relation to psoriasis risk.
Methods: We conducted SMR analyses integrating genome-wide association study (GWAS) summary statistics with methylation quantitative trait loci (mQTL), expression quantitative trait loci (eQTL), and protein quantitative trait loci (pQTL) data. Publicly available datasets were utilized, including psoriasis GWAS data from the European Molecular Biology Laboratory-European Bioinformatics Institute and the UK Biobank.
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