Literature DB >> 19960555

An introduction to genes, genomes and disease.

Peter A Hall1, Jorge S Reis-Filho, Ian Pm Tomlinson, Richard Poulsom.   

Abstract

The human and other genome projects and subsequent resequencing programmes have provided new perspectives on the nature of the gene and how genes function. Understanding the complexity of the eukaryotic nucleus and the diversity of genetic regulatory mechanisms, including the role of non-coding RNAs, translational control mechanisms and the extraordinary prevalence of splicing, will be central to understanding how genes function, as will the recognition of gene dosage issues. This introduction to the 2010 Annual Review Issue, Genes, Genomes and Disease, provides overviews of these areas and then considers their relevance to a range of human diseases, including cardiovascular and renal disease, neural tube defects and cancer. The p53 gene is considered as an example of a massively regulated gene and the genetic perturbations in cancer are considered in a historical perspective. High-throughput genomic and transcriptomic methods have led to a paradigm shift in the way cancers are perceived and have changed the way translational research is performed. The progress in our understanding of chromosomal rearrangements in cancer, once believed to be incredibly rare events in epithelial malignancies, is discussed. The identification of low-penetrance cancer susceptibility genes through genome-wide association studies and their implications are reviewed. The contribution and limitations of expression profiling are discussed. In the last series of reviews, future challenges are addressed: the promise of synthetic lethality strategies in cancer therapy, a case for 'systems' approaches to genetic networks and the potential of single molecule genetic technologies. Finally, the question 'Does massively parallel DNA resequencing signify the end of histopathology as we know it?' is posed. Readers should find that the 2010 Annual Review Issue is an invaluable resource on contemporary genetics and its applications to understanding disease.

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Mesh:

Year:  2010        PMID: 19960555     DOI: 10.1002/path.2652

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  9 in total

Review 1.  Attitudes of health care professionals toward pharmacogenetic testing.

Authors:  Nathalie K Zgheib; Thalia Arawi; Rami A Mahfouz; Ramzi Sabra
Journal:  Mol Diagn Ther       Date:  2011-04-01       Impact factor: 4.074

2.  Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks.

Authors:  Amin Ebadi; Navid Momenifar; Shaghayegh Yazdani; Omid Gholizadeh; Vahdat Poortahmasebi
Journal:  Iran J Microbiol       Date:  2022-02

3.  ChiTaRS: a database of human, mouse and fruit fly chimeric transcripts and RNA-sequencing data.

Authors:  Milana Frenkel-Morgenstern; Alessandro Gorohovski; Vincent Lacroix; Mark Rogers; Kristina Ibanez; Cesar Boullosa; Eduardo Andres Leon; Asa Ben-Hur; Alfonso Valencia
Journal:  Nucleic Acids Res       Date:  2012-11-09       Impact factor: 16.971

4.  Optimizing anti-gene oligonucleotide 'Zorro-LNA' for improved strand invasion into duplex DNA.

Authors:  Eman M Zaghloul; Andreas S Madsen; Pedro M D Moreno; Iulian I Oprea; Samir El-Andaloussi; Burcu Bestas; Pankaj Gupta; Erik B Pedersen; Karin E Lundin; Jesper Wengel; C I Edvard Smith
Journal:  Nucleic Acids Res       Date:  2010-09-21       Impact factor: 16.971

5.  Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure.

Authors:  Agata Maciejak; Marek Kiliszek; Marcin Michalak; Dorota Tulacz; Grzegorz Opolski; Krzysztof Matlak; Slawomir Dobrzycki; Agnieszka Segiet; Monika Gora; Beata Burzynska
Journal:  Genome Med       Date:  2015-03-14       Impact factor: 11.117

6.  Will global transcriptome analysis allow the detection of novel prognostic markers in coronary artery disease and heart failure?

Authors:  Monika Gora; Marek Kiliszek; Beata Burzynska
Journal:  Curr Genomics       Date:  2013-09       Impact factor: 2.236

7.  Identification of time‑series differentially expressed genes and pathways associated with heart failure post‑myocardial infarction using integrated bioinformatics analysis.

Authors:  Xuefei Li; Bin Li; Hong Jiang
Journal:  Mol Med Rep       Date:  2019-04-24       Impact factor: 2.952

8.  Potential biomarkers of acute myocardial infarction based on weighted gene co-expression network analysis.

Authors:  Zhihua Liu; Chenguang Ma; Junhua Gu; Ming Yu
Journal:  Biomed Eng Online       Date:  2019-01-25       Impact factor: 2.819

9.  Integrated Gene Expression Profiling Analysis Reveals Potential Molecular Mechanisms and Candidate Biomarkers for Early Risk Stratification and Prediction of STEMI and Post-STEMI Heart Failure Patients.

Authors:  Jing Xu; Yuejin Yang
Journal:  Front Cardiovasc Med       Date:  2021-12-10
  9 in total

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