Ask about this productRelated genes to: ZNF614 antibody
- Gene:
- ZNF614 NIH gene
- Name:
- zinc finger protein 614
- Previous symbol:
- -
- Synonyms:
- FLJ21941
- Chromosome:
- 19q13.41
- Locus Type:
- gene with protein product
- Date approved:
- 2004-03-29
- Date modifiied:
- 2014-11-19
Related products to: ZNF614 antibody
Related articles to: ZNF614 antibody
- Biopsychosocial factors substantially increase the risk of depression in adults, and DNA methylation has been implicated as a mechanism through which these factors influence this risk. This study determined whether methylation levels moderate the association between biopsychosocial factors and depression. Using cross-sectional data from the Taiwan Biobank 2016-2017, the study examined the effects of biopsychosocial factors and DNA methylation on depression. The sample consisted of 96 participants aged 30 to 68 years. Depression and biopsychosocial factors were evaluated using self-reported questionnaires. Biopsychosocial factors included biological factors (age, sex, physical illness, body mass index [BMI]), psychological factors (alcohol experience, smoking experience, and exercise habit), and social factors (education, marriage, and dependency). To obtain methylated gene data, the Taiwan Biobank 2016-2017, 65 biological risk genes, and the GSE113725 dataset were intersected, revealing 5 genes and 14 CpG sites potentially associated with depression (IL2RB-cg02238178, IL2RB-cg11558856, IL15RA-cg03108606, IL15RA-cg07796897, IL15RA-cg08676905, IL6R-cg25853020, IL6R-cg09257526, IL6R-cg04715245, FTL-cg04385818, FTL-cg03039974, ZNF614-cg09503196, ZNF614-cg25776555, ZNF614-cg03293882, and ZNF614-cg15684917). The results indicated that BMI was negatively associated with depression risk (adjusted odds ratio [aOR] = 0.320, 95% confidence interval [CI] [0.117-0.876]), whereas the methylation of IL6R_cg09257526 increased the risk of depression (aOR = 2.535, 95% CI [1.006-6.391]) and significantly moderated the association between BMI and depression (aOR = 4.687, 95% CI [1.185-18.542]). BMI plays a crucial role in biological factors and together with DNA methylation of the IL6R_cg09257526 gene contributes to the occurrence of depression in the Taiwanese population. - Source: PubMed
Publication date: 2025/11/22
Kusuma Reni MertaLesmana Mohammad Hendra SetiaAmelia Vivi LeonaAnsar MuhamadWiratama Bayu SatriaMuhtar Muhammad SolihuddinChung Min-Huey - Hematological parameters refer to the assessment of changes in the number and distribution of blood cells, including leukocytes (LES), erythrocytes (ERS), and platelets (PLS), which are essential for the early diagnosis of hematological system disorders and other systemic diseases in livestock. In this context, the primary objectives of this study were to investigate the genomic background of 19 hematological parameters in Holstein cattle, focusing on LES, ERS, and PLS blood components. Genetic and phenotypic (co)variances of hematological parameters were calculated based on the average information restricted maximum likelihood method and 1,610 genotyped individuals and 5,499 hematological parameter records from 4,543 cows. Furthermore, we assessed the genetic relationship between these hematological parameters and other economically important traits in dairy cattle breeding programs. We also carried out genome-wide association studies and candidate gene analyses. Blood samples from 21 primiparous cows were used to identify candidate genes further through RNA sequencing (RNA-seq) analyses. Hematological parameters generally exhibited low-to-moderate heritabilities ranging from 0.01 to 0.29, with genetic correlations between them ranging from -0.88 ± 0.09 (between mononuclear cell ratio and lymphocyte cell ratio) to 0.99 ± 0.01 (between white blood cell count and granulocyte cell count). Furthermore, low-to-moderate approximate genetic correlations between hematological parameters with one longevity, 4 fertility, and 5 health traits were observed. One hundred ninety-nine significant SNP located primarily on the Bos taurus autosomes (BTA) BTA4, BTA6, and BTA8 were associated with 16 hematological parameters. Based on the RNA-seq analyses, 6,687 genes were significantly downregulated and 4,119 genes were upregulated when comparing 2 groups of cows with high and low phenotypic values. By integrating genome-wide association studies (GWAS), RNA-seq, and previously published results, the main candidate genes associated with hematological parameters in Holstein cattle were ACRBP, ADAMTS3, CANT1, CCM2L, CNN3, CPLANE1, GPAT3, GRIP2, PLAGL2, RTL6, SOX4, WDFY3, and ZNF614. Hematological parameters are heritable and moderately to highly genetically correlated among themselves. The large number of candidate genes identified based on GWAS and RNA-seq indicate the polygenic nature and complex genetic determinism of hematological parameters in Holstein cattle. - Source: PubMed
Publication date: 2024/02/29
Yang TongtongLuo HanpengLou WenqiChang YaoBrito Luiz FZhang HailiangMa LonggangHu LirongWang AoLi ShanshanGuo GangWang Yachun - Using DNA methylation biomarkers in cancer detection is a potential direction in clinical testing. Some methylated genes have been proposed for cervical cancer detection; however, more reliable methylation markers are needed. To identify new hypermethylated genes in the discovery phase, we compared the methylome between a pool of DNA from normal cervical epithelium (n = 19) and a pool of DNA from cervical cancer tissues (n = 38) using a methylation bead array. We integrated the differentially methylated genes with public gene expression databases, which resulted in 91 candidate genes. Based on gene expression after demethylation treatment in cell lines, we confirmed 61 genes for further validation. In the validation phase, quantitative MSP and bisulfite pyrosequencing were used to examine their methylation level in an independent set of clinical samples. Fourteen genes, including ADRA1D, AJAP1, COL6A2, EDN3, EPO, HS3ST2, MAGI2, POU4F3, PTGDR, SOX8, SOX17, ST6GAL2, SYT9, and ZNF614, were significantly hypermethylated in CIN3+ lesions. The sensitivity, specificity, and accuracy of POU4F3 for detecting CIN3+ lesions were 0.88, 0.82, and 0.85, respectively. A bioinformatics function analysis revealed that AJAP1, EDN3, EPO, MAGI2, and SOX17 were potentially implicated in β-catenin signaling, suggesting the epigenetic dysregulation of this signaling pathway during cervical cancer development. The concurrent methylation of multiple genes in cancers and in subsets of precancerous lesions suggests the presence of a driver of methylation phenotype in cervical carcinogenesis. Further validation of these new genes as biomarkers for cervical cancer screening in a larger population-based study is warranted. - Source: PubMed
Publication date: 2013/12/17
Chen Yu-ChihHuang Rui-LanHuang Yung-KaiLiao Yu-PingSu Po-HsuanWang Hui-ChenChang Cheng-ChangLin Ya-WenYu Mu-HsienChu Tang-YuanLai Hung-Cheng