cDNA microarray is a technological approach that has the potential to globally measure changes in mRNA expression levels. Self-comparison experiments with the same kind of tissue and differential expression experiments with the different kinds of tissue have been done to verify the reproducibility and the accuracy of this technique. The parameter of the reliability and the reproducibility of the microarray data were analyzed by correlation coefficient (R), coefficient of variation (CV) and false positive rate (FPR) etc. Meanwhile, the error resource also has been inspected. These results showed that generally the correlation coefficient of data from this cDNA microarray system was more than 0.9, the coefficient of variation was about 15%, and the false positive rate was below 3%. The result proves the accuracy of the cDNA microarray data. Consistence rate (CR) was advanced here as a new parameter to evaluate the reproducibility of two replicate experiments. It has some advantages over correlation coefficient and coefficient of variation. The influence of some important factors in the experiments, such as different concentration of spotted DNA, mRNA and total RNA, different batches of slides and different processes of labeling, have been investigated by comparing the results. It was shown that most of the false position produced by the experiment system could be reduced by replicate experiments.
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Int J Med Sci
January 2025
Department of hepatobiliary surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
The aim of this study is to utilize two-sample Mendelian randomization (MR) to investigate the potential causal relationship among psoriasis, iridocyclitis, and non-alcoholic fatty liver disease (NAFLD), and to explore any potential mediation effects. Pooled data were derived from the public genome-wide association study (GWAS) in NAFLD (finn-b-NAFLD), iridocyclitis (finn-b-H7_IRIDOCYCLITIS) and psoriasis (finn-b-L12_PSORI_VULG). Univariable MR (UVMR) analysis was implemented to explore the causal relationship among psoriasis, iridocyclitis, and NAFLD, and inverse variance weighting (IVW) was used as the primary analytical method.
View Article and Find Full Text PDFAutoimmunity
December 2025
The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Systemic lupus erythematosus (SLE) is an autoimmune disease with complex clinical manifestations and no current cure. Alternative splicing (AS) plays a key role in SLE by regulating immune-related genes, but its genome-wide regulatory mechanisms remain unclear. To investigate the involvement of abnormal splicing regulators and AS events in the immune regulation of SLE.
View Article and Find Full Text PDFBreast J
January 2025
Department of Thyroid and Breast Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong 226001, China.
This study aims to investigate the potential causal link between mitochondrial function and breast cancer using the Mendelian randomization (MR) analysis. The data used for this study were obtained from genomewide association studies (GWAS) databases on mitochondrial biological function and breast cancer. Mitochondrial function was considered the exposure variable, breast cancer the outcome variable, and specific single nucleotide polymorphisms (SNPs) were selected as instrumental variables (IVs).
View Article and Find Full Text PDFCardiovasc Ther
January 2025
Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Atrial fibrillation (AF) is affected by both environmental and genetic factors. Previous genetic association studies, especially genome-wide association studies, revealed a large group of AF-associated genes. However, little is known about the functions and interactions of these genes.
View Article and Find Full Text PDFBiol Direct
December 2024
Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Background: Integrating multi-layered information can enhance the accuracy of genomic prediction for complex traits. However, the improvement and application of effective strategies for genomic prediction (GP) using multi-omics data remains challenging.
Methods: We generated 11 feature sets for sequencing variants from genomics, transcriptomics, metabolomics, and epigenetics data in beef cattle, then we assessed the contribution of functional variants using genomic restricted maximum likelihood (GREML).
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