Ask about this productRelated genes to: ZNF618 antibody
- Gene:
- ZNF618 NIH gene
- Name:
- zinc finger protein 618
- Previous symbol:
- -
- Synonyms:
- KIAA1952, NEDD10
- Chromosome:
- 9q32
- Locus Type:
- gene with protein product
- Date approved:
- 2004-04-15
- Date modifiied:
- 2018-11-23
Related products to: ZNF618 antibody
Related articles to: ZNF618 antibody
- Tumor necrosis factor inhibitors (TNFi) have transformed the management of rheumatoid arthritis (RA); however, up to 40% of patients fail to achieve an adequate clinical response. Current clinical predictors remain insufficient, highlighting the need for pharmacogenetic biomarkers to guide biologic therapy selection. In this study, we investigated genetic variants associated with TNFi treatment response, with a particular focus on body mass index (BMI)-dependent effects, using a large real-world cohort. A total of 519 patients with RA were identified from the Taiwan Precision Medicine Initiative (TPMI), an electronic health record-linked biobank. Eligible patients had received TNFi therapy for at least 6 months and had available genotyping data. Ninety-seven candidate single nucleotide polymorphisms (SNPs) previously reported to be associated with TNFi response were identified through a systematic literature search. Five variants located in immune-metabolic genes (FTO, ZNF618, RANK, CD84, and LOC105375523) were further analyzed using univariable and multivariable logistic regression models. Subgroup analyses stratified by BMI were performed to explore potential effect modification. Three variants-FTO rs7195994, ZNF618 rs16911006, and LOC105375523 rs834811-were significantly associated with TNFi response in initial analyses. In multivariable models, only FTO rs7195994 remained an independent predictor of non-response (odds ratio [OR] 0.44, 95% confidence interval [CI] 0.22-0.87; p = 0.019). Among patients with BMI < 27 kg/m², carriers of the rs7195994 risk allele had a 49% lower likelihood of achieving treatment response (OR 0.51, 95% CI 0.28-0.92; p = 0.0249), whereas no significant association was observed in patients with higher BMI. These findings identify FTO rs7195994 as a novel, BMI-modulated pharmacogenetic marker of TNFi non-response in RA. Incorporating BMI-stratified genetic profiling into clinical decision-making may facilitate early identification of patients unlikely to benefit from TNFi therapy, thereby supporting precision treatment strategies. Further validation in multiethnic populations and functional studies is warranted. - Source: PubMed
Publication date: 2026/05/05
Li Yi-TingChen I-ChiehYang Hui-WenKao Chung-MaoChen Yen-JuHuang Wen-NanChen Yi-Ming - - Source: PubMed
Publication date: 2025/03/19
Chen XueYuan LiliMa XiaoliWang JianlingWang FangZhang YangCao PanxiangYang JunfangSun RuijuanChen JiaqiZhou XiaosuLiu Hongxing - The chinkara (, Sykes 1831) exhibits a broad distribution from Iran to India and has been categorized into five species: , , and representing the Indian chinkara, and and pertaining to the Iranian chinkara (jebeer). This classification within the " group" is solely based on morphological data, lacking genetic information. To investigate the potential presence of multiple species within the group and to determine subspecific variations, we sampled jebeer in Iran and conducted phylogenetic analyses using cytochrome , COI, and sequences from two nuclear introns (CHD2 and ZNF618). Our mitochondrial data revealed a significant divergence within the " group," identifying two lineages: the Iranian lineage (jebeer) and the Indian lineage (chinkara). Estimates of divergence time suggest that the split between jebeer and chinkara occurred approximately 0.895 million years ago, possibly associated with a vicariant event caused by the Indus River. These findings have important implications for assessing species conservation statuses on the IUCN Red List because an endangered lineage (jebeer) is currently grouped together with a non-threatened one (chinkara) under the same global assessment, which underestimates the true endangered status of jebeer. In Iran, the haplotype distribution map of the jebeer can serve as a fundamental genetic framework guiding conservation efforts across Iranian protected areas and captive breeding centers. Therefore, we recommend any future management plan should be based on these findings and treat these two lineages separately. - Source: PubMed
Publication date: 2025/02/12
Fadakar DavoudMalekian MansourehHemami Mahmoud RezaRezaei Hamid RezaLerp HannesBärmann Eva V - Genome-wide association studies (GWAS) of postpartum depression (PPD) based on accumulated cohorts with multiple ethnic backgrounds have failed to identify significantly associated loci. Herein, we conducted a GWAS of Japanese perinatal women along with detailed confounding information to uncover PPD-associated loci. - Source: PubMed
Publication date: 2024/09/17
Li XueTakahashi NagahideNarita AkiraNakamura YukakoSakurai-Yageta MikaMurakami KeikoIshikuro MamiObara TakuKikuya MasahiroUeno FumihikoMetoki HirohitoOhseto HisashiTakahashi IppeiNakamura TomohiroWarita NorikoShoji TomokaYu ZhiqianOno ChiakiKobayashi NatsukoKikuchi SayaMatsuki TasukuNagami FujiOgishima SoichiSugawara JunichiHoshiai TetsuroSaito MasatoshiFuse NobuoKinoshita KengoYamamoto MasayukiYaegashi NobuoOzaki NorioTamiya GenKuriyama ShinichiTomita Hiroaki - This investigation provides a comprehensive analysis of genomic diversity and selection signatures in Zaobei beef cattle, an indigenous breed known for its adaptation to hot and humid climates and superior meat quality. Whole-genome resequencing was conducted on 23 Zaobei cattle, compared with 46 Simmental cattle to highlight genetic distinctions. Population structure analysis confirmed the genetic uniqueness of Zaobei cattle. Using methods such as DASDC v1.01, XPEHH, and θπ ratio, we identified 230, 232, and 221 genes through DASDC, including hard sweeps, soft sweeps, and linkage sweeps, respectively. Coincidentally, 109 genes were identified when using XPEHH and θπ ratio methods. Together, these analyses revealed eight positive selection genes (, , , , , , , and ), which are linked to critical traits such as heat stress adaptation, fertility, and meat quality. Moreover, functional enrichment analyses showed pathways related to autophagy, immune response, energy metabolism, and muscle development. The comprehensive genomic insights gained from this study provide valuable knowledge for breeding programs aimed at enhancing the beneficial traits in Zaobei cattle. - Source: PubMed
Publication date: 2024/08/22
Shi LiangyuZhang PuLiu QingLiu ChenhuiCheng LeiYu BoChen Hongbo