Purpose: To identify the genetic basis of Schnyder crystalline corneal dystrophy (SCCD) through screening of positional candidate genes in affected patients.
Methods: Mutation screening of fifteen genes (CORT, CLSTN1, CTNNBIP1, DFFA, ENO1, GPR157, H6PD, KIF1B, LOC440559, LZIC, MGC4399, PEX14, PGD, PIK3CD, and SSB1) that lie within the candidate gene region for SCCD was performed in members of two families affected with SCCD.
Results: No presumed disease-causing mutations were identified in affected patients. Seventeen previously described single nucleotide polymorphisms (SNPs) were identified in eight of the candidate genes. Novel SNPs were identified in both affected and unaffected individuals in GPR157 (c.795C>T [Arg218Leu]; c.811C>T [Ala223Val]), MGC4399 (c.1024G>C [Leu277Leu]), and H6PD (c.754A>C [Asp151Ala]).
Conclusions: No pathogenic mutations were identified in fifteen positional candidate genes in two families with SCCD. As the candidate gene region in each SCCD family previously examined with haplotype analysis has been mapped to the same chromosomal region, the absence of pathogenic mutations in these positional candidates in the families we examined reduces the number of remaining positional candidate genes by half, and the number of remaining candidate genes with a known gene function by two-thirds. We anticipate that screening of the remaining positional candidate genes will lead to the identification of the genetic basis of SCCD.
Download full-text PDF |
Source |
---|
Adv Clin Exp Med
January 2025
Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, USA.
Background: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma (RCC). Due to the lack of symptoms until advanced stages, early diagnosis of ccRCC is challenging. Therefore, the identification of novel secreted biomarkers for the early detection of ccRCC is urgently needed.
View Article and Find Full Text PDFHeliyon
January 2025
ICAR-Indian Institute of Maize Research, PAU Campus, Ludhiana, Punjab, 141 004, India.
Viral diseases severely impact maize yields, with occurrences of maize viruses reported worldwide. Deployment of genetic resistance in a plant breeding program is a sustainable solution to minimize yield loss to viral diseases. The meta-QTL (MQTL) has demonstrated to be a promising approach to pinpoint the most robust QTL(s)/candidate gene(s) in the form of an overlapping or common genomic region identified through leveraging on different research studies that independently report genomic regions significantly associated with the target traits.
View Article and Find Full Text PDFJ Dent Sci
December 2024
Blood Transfusion Haematology Hospital No. 2, Ho Chi Minh City, Viet Nam.
Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret complex patterns within mRNA-sequencing (RNA-seq) data and clinical-histopathological features.
Materials And Methods: 206 retrospective Vietnamese OSCC formalin-fixed paraffin-embedded (FFPE) tumor samples, of which 101 were subjected to RNA-seq for classification based on gene expression.
Hortic Res
January 2025
Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Appropriate root system architecture (RSA) can improve alfalfa yield, yet its genetic basis remains largely unexplored. This study evaluated six RSA traits in 171 alfalfa genotypes grown under controlled greenhouse conditions. We also analyzed five yield-related traits in normal and drought stress environments and found a significant correlation (0.
View Article and Find Full Text PDFMater Today Bio
February 2025
Aier Academy of Ophthalmology, Central South University, Changsha, Hunan, China.
Diabetic keratopathy (DK), a significant complication of diabetes, often leads to corneal damage and vision impairment. Effective models are essential for studying DK pathogenesis and evaluating potential therapeutic interventions. This study developed a novel biomimetic full-thickness corneal model for the first time, incorporating corneal epithelial cells, stromal cells, endothelial cells, and nerves to simulate DK conditions .
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!