Bioinformatics is a new scientific field. It applies computational and analysis tools to the capture, analyze and interpret large quantities of biological data. To understand genomic information, comparative analysis of data obtained is crucial. Primary physicians are dauntingly being implored to evaluate patients genetically, and analyze the results received. We depict online tools available for defining the clinical characteristics of a patient (phenotype), assisting in compiling them into a tentative genetic clinical diagnosis. The subsequent step is to then learn the patient's genotype and how to curate a specific genetic copy number or sequence variant. The online resources available to assist in this arduous process are described.
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http://dx.doi.org/10.1016/j.ejmg.2019.103689 | DOI Listing |
Clin Cosmet Investig Dermatol
January 2025
Department of Dermatology, Candidate Branch of National Clinical Research Centre for Skin and Immune Diseases, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, People's Republic of China.
Dystrophic epidermolysis bullosa (DEB) is a heterogeneous and rare genetic skin disease caused by mutations in the gene, which encodes Type VII collagen. The absence or dysfunction of Type VII collagen can cause the dense lower layer of the basal membrane zone of the skin to separate from the dermis, leading to blister formation and various complications. In different DEB subtypes, the severity of the phenotype is associated, to some extent, with the outcome of Type VII collagen caused by mutations in the gene, which may be reduced in expression, remarkably reduced, or completely absent.
View Article and Find Full Text PDFWe report a systematic quantification of 10,841 unique proteins from over 700 GTEx samples, representing five human tissues. Sex, age and genetic factors are associated with variation in protein abundance. In total, 1981 cis-protein quantitative trait loci (cis-pQTL) are identified, of which a majority of protein targets have not been assayed in the recent plasma-based proteogenomic studies.
View Article and Find Full Text PDFWorld J Cardiol
January 2025
Institute of Cardiovascular Diseases & Department of Cardiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, Sichuan Province, China.
Hypertrophic cardiomyopathy (HCM) is an autosomal dominant inherited cardiomyopathy characterized by left ventricular hypertrophy. It is one of the chief causes of sudden cardiac death in younger people and athletes. Molecular-genetic studies have confirmed that the vast majority of HCM is caused by mutations in genes encoding sarcomere proteins.
View Article and Find Full Text PDFStroke
January 2025
Department of Experimental Neurology, Center for Stroke Research Berlin (CSB), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany (M.F., S.B., S.M., K.W., M.E., A.M., U.D., C.S.).
Background: Contrary to the common belief, the most commonly used laboratory C57BL/6J mouse inbred strain presents a distinctive genetic and phenotypic variability, and for several traits, the genotype-phenotype link remains still unknown. Recently, we characterized the most important stroke survival factor such as brain collateral plasticity in 2 brain ischemia C57BL/6J mouse models (bilateral common carotid artery stenosis and middle cerebral artery occlusion) and observed a Mendelian-like fashion of inheritance of the posterior communicating artery (PcomA) patency. Interestingly, a copy number variant (CNV) spanning locus was reported to segregate in an analogous Mendelian-like pattern in the C57BL/6J colonies of the Jackson Laboratory.
View Article and Find Full Text PDFStat Med
February 2025
Department of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Multi-gene panel testing allows efficient detection of pathogenic variants in cancer susceptibility genes including moderate-risk genes such as ATM and PALB2. A growing number of studies examine the risk of breast cancer (BC) conferred by pathogenic variants of these genes. A meta-analysis combining the reported risk estimates can provide an overall estimate of age-specific risk of developing BC, that is, penetrance for a gene.
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