[Genetics and allergy].

Allergol Immunopathol (Madr)

Departamento de Pediatría, IDIBAPS, Hospital Clínic, Facultad de Medicina, Universidad de Barcelona.

Published: October 1998

Complex diseases, including diseases of allergic origin (asthma, rhinitis, dermatitis), tend to cluster in families, suggesting the existence of a genetic predisposition that has been confirmed by the family and twin studies. However, it is difficult to establish a clear Mendelian pattern of inheritance and it is accepted that multiple genes exist which have an additive effect (polygeny) and interact with environmental factors (multifactorial polygenic mechanism) to cause not only the atopic constitution but also the pathology that derives from it. Advances in genetics and molecular biology, through linkage studies in chosen family nuclei and different population groups, are facilitating the location of chromosomal regions related with allergic pathology. The genes situated in these regions are considered candidate genes, and the genes themselves and the functions that they control are studied in relation to allergic disease. Although there are regions and candidate genes distributed throughout the genome, chromosomes 5, 6, 11, and 14 contain genes whose responsibility for susceptibility to atopy, asthma and bronchial hyperreactivity is accepted and whose polymorphisms could be risk factors. The study of these genes and many other candidate genes may clarify some etiopathogenic aspects of diseases of allergic origin and improve their prophylaxis and therapy.

Download full-text PDF

Source

Publication Analysis

Top Keywords

candidate genes
12
diseases allergic
8
allergic origin
8
genes
8
[genetics allergy]
4
allergy] complex
4
complex diseases
4
diseases including
4
including diseases
4
allergic
4

Similar Publications

Multi-omics analysis of druggable genes to facilitate Alzheimer's disease therapy: A multi-cohort machine learning study.

J Prev Alzheimers Dis

March 2025

Department of Pathophysiology School of Basic Medicine Key Laboratory of Education Ministry/Hubei Province of China for Neurological Disorders Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address:

Background: The swift rise in the prevalence of Alzheimer's disease (AD) alongside its significant societal and economic impact has created a pressing demand for effective interventions and treatments. However, there are no available treatments that can modify the progression of the disease.

Methods: Eight AD brain tissues datasets and three blood datasets were obtained.

View Article and Find Full Text PDF

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. This study aimed to explore the role of hsa-miR-101-3p in HCC pathogenesis by identifying key genes and pathways. A comprehensive bioinformatics analysis revealed twelve hub genes (ETNK1, BICRA, IL1R1, KDM3A, ARID2, GSK3β, EZH2, NOTCH1, SMARCA4, FOS, CREB1, and CASP3) and highlighted their involvement in crucial oncogenic pathways, including PI3K/Akt, mTOR, MAPK, and TGF-β.

View Article and Find Full Text PDF

Background: Cancer cells display oxidative metabolic dysregulation to fulfill their bioenergy requirements. Specifically, efforts were made to regulate the metabolite succinate and its negative effects as an inducer for neoplasm invasion and metastasis.

Methods: Binding affinity of naringenin (NAR) to mitochondria complex II (CΙΙ) subunits, sirtuin3 (SIRT3), tumor necrosis factor associate protein 1(TRAP1), and succinate receptor (SUCNR1) was studied by molecular docking.

View Article and Find Full Text PDF

Hypertension is the foremost modifiable risk factor for cardiovascular and renal diseases, and overall mortality on a global scale. Genetic variants have the potential to alter an individual's drug responses. In the present study, we employed a comprehensive computational analysis to evaluate the structural and functional implications of deleterious missense variants to examine the influence of RAAS genes such as AT1R, AT2R, and MasR on susceptibility to hypertension.

View Article and Find Full Text PDF

RPT: An integrated root phenotyping toolbox for segmenting and quantifying root system architecture.

Plant Biotechnol J

March 2025

National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.

The dissection of genetic architecture for rice root system is largely dependent on phenotyping techniques, and high-throughput root phenotyping poses a great challenge. In this study, we established a cost-effective root phenotyping platform capable of analysing 1680 root samples within 2 h. To efficiently process a large number of root images, we developed the root phenotyping toolbox (RPT) with an enhanced SegFormer algorithm and used it for root segmentation and root phenotypic traits.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!