C5orf36
- Known as:
- C5orf36
- Catalog number:
- 003118A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- C5orf36
Related genes to: C5orf36
- Gene:
- KIAA0825 NIH gene
- Name:
- KIAA0825
- Previous symbol:
- C5orf36
- Synonyms:
- DKFZp686F0372, MGC34713
- Chromosome:
- 5q15
- Locus Type:
- gene with protein product
- Date approved:
- 2006-11-03
- Date modifiied:
- 2016-09-30
Related products to: C5orf36
Related articles to: C5orf36
- To evaluate the clinical characteristics, genomic landscape, and perinatal outcomes of fetal polydactyly using combined copy number variation sequencing (CNV-seq) and trio-exome sequencing (trio-ES). - Source: PubMed
Publication date: 2026/07/02
Li HuiYang XiaohongLiu LijunQin YayunSong YangyangYao Yanyi - Epigenetic factors underlying telomere length (TL) may provide insight into telomeric homeostasis, with direct links to cigarette smoking and lung cancer susceptibility. It is unclear, nevertheless, to what extent effects of TL and its related DNA methylation on the smoking-induced lung tumorigenesis. - Source: PubMed
Publication date: 2026/01/30
Guan XinZhou YuhanHong ShiruJiang YiXiao YangWang ChenmingFu MingZhao HuiChen ShengliFu YeZhang YingchenBai YansenWang YuxiYou YingqianZhang YichiCheng ShanshanGuo Huan - Extra digits on the hands and/or feet are a frequent condition known as polydactyly. Twelve nonsyndromic polydactyly genes have been identified, including . - Source: PubMed
Publication date: 2025/09/21
Abdullah Bharadwaj ThashiJaved SaffiaKhan HammalAcharya AnushreeJi WeizhenUmm-E-Kalsoom Ali HamidSchrauwen IsabelleAhmad WasimLakhani Saquib ALeal Suzanne M - Understanding the genetic mechanism of cold adaptation in cashmere goats and dairy goats is very important to improve their production performance. The purpose of this study was to comprehensively analyze the genetic basis of goat adaptation to cold environments, clarify the impact of environmental factors on genome diversity, and lay the foundation for breeding goat breeds to adapt to climate change. A total of 240 dairy goats were subjected to genome resequencing, and the whole genome sequencing data of 57 individuals from 6 published breeds were incorporated. By integrating multiple approaches such as phylogenetic analysis, population structure analysis, gene flow and population history exploration, selection signal analysis, and genome-environment association analysis, an in-depth investigation was carried out. Phylogenetic analysis unraveled the genetic relationships and differentiation patterns among dairy goats and other goat breeds. Through signal analysis (θπ, FST, XP-CLR), we identified numerous candidate genes associated with cold adaptation in dairy goats (STRIP1, ALX3, HTR4, NTRK2, MRPL11, PELI3, DPP3, BBS1) and cashmere goats (MED12L, MARC2, MARC1, DSG3, C6H4orf22, CHD7, MYPN, KIAA0825, MITF). Genome-environment association (GEA) analysis confirmed the link between these genes and environmental factors. Moreover, a detailed analysis of the critical genes C6H4orf22 and STRIP1 demonstrated their significant roles in the geographical variations of cold adaptation and allele frequency differences among different breeds. This study contributes to understanding the genetic basis of cold adaptation, providing crucial theoretical support for precision breeding programs aimed at improving production performance in cold regions by leveraging adaptive alleles, thereby ensuring sustainable animal husbandry. - Source: PubMed
Publication date: 2025/09/09
Zhao JianqingYao WeiweiLiu QingqingGong PingMu YuanpanWang WeiLiu BaolongLi CongShi HengboLuo Jun - Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in ancestry groups of predominantly non-European ancestral background in genome-wide association studies (GWAS). We construct and analyze a multi-ancestry GWAS dataset in the Alzheimer's Disease Genetics Consortium (ADGC) to test for novel shared and population-specific late-onset Alzheimer's disease (LOAD) susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6728 African American, 8899 Hispanic (HIS), and 3232 East Asian individuals, performing within ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis. - Source: PubMed
Publication date: 2025/07/17
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