Literature DB >> 22788944

Gene-environment interactions in the development of asthma and atopy.

Adnan Custovic1, Susana Marinho, Angela Simpson.   

Abstract

Asthma is a complex multifactorial disorder involving a variety of different mechanisms. Little has changed in asthma treatment over the past five decades. There is evidence for a strong genetic component of asthma, but genetic studies have produced heterogeneous results with little replication, with most of the heritability remaining unexplained. The rapid increase in asthma prevalence over a short time period suggests that environmental exposures play an important role, but there is a considerable heterogeneity in the results describing the effect of different environmental exposures. There are many reasons for the lack of replication in genetic association studies and those of environmental exposures. These include the failure to consider that asthma may arise as a consequence of environmental factors, modulating the risk in genetically susceptible individuals via gene-environment interactions. In addition, many studies rely on oversimplified phenotypes often derived through aggregation of several heterogeneous conditions (e.g., 'physician-diagnosed asthma').

Entities:  

Mesh:

Year:  2012        PMID: 22788944     DOI: 10.1586/ers.12.24

Source DB:  PubMed          Journal:  Expert Rev Respir Med        ISSN: 1747-6348            Impact factor:   3.772


  15 in total

1.  Analysis of changes in expression of IL-4/IL-13/STAT6 pathway and correlation with the selected clinical parameters in patients with atopic asthma.

Authors:  Adam Antczak; Daria Domańska-Senderowska; Paweł Górski; Dorota Pastuszak-Lewandoska; Agnieszka Nielepkowicz-Goździńska; Karolina Szewczyk; Zofia Kurmanowska; Justyna Kiszałkiewicz; Ewa Brzeziańska-Lasota
Journal:  Int J Immunopathol Pharmacol       Date:  2016-01-18       Impact factor: 3.219

Review 2.  Where genotype is not predictive of phenotype: towards an understanding of the molecular basis of reduced penetrance in human inherited disease.

Authors:  David N Cooper; Michael Krawczak; Constantin Polychronakos; Chris Tyler-Smith; Hildegard Kehrer-Sawatzki
Journal:  Hum Genet       Date:  2013-07-03       Impact factor: 4.132

3.  Significant association between GSTT1 null genotype and risk of asthma during childhood in Caucasians.

Authors:  Yongmei Zhao; Siyuan Liu; Zhong Liu; Yuanfa Ye; Meng Mao
Journal:  Mol Biol Rep       Date:  2012-10-19       Impact factor: 2.316

4.  Genome-wide scan on total serum IgE levels identifies no common variants in a healthy Chinese male population.

Authors:  Ming Liao; Dianchun Shi; Yao Wang; Kai Zhang; Xin Chen; Yong Gao; Aihua Tan; Qiang Xuan; Xiaobo Yang; Yanlin Hu; Xue Qin; Haiying Zhang; Zengnan Mo
Journal:  Immunogenetics       Date:  2013-05-10       Impact factor: 2.846

5.  Genetics of Asthma and Allergic Diseases.

Authors:  Sadia Haider; Angela Simpson; Adnan Custovic
Journal:  Handb Exp Pharmacol       Date:  2022

6.  Vitamin D levels and status amongst asthmatic and non-asthmatic adolescents in Cyprus: a comparative cross-sectional study.

Authors:  Ourania Kolokotroni; Anna Papadopoulou; Nicos Middleton; Christiana Kouta; Vasilios Raftopoulos; Polyxeni Nicolaidou; Panayiotis K Yiallouros
Journal:  BMC Public Health       Date:  2015-01-31       Impact factor: 3.295

7.  Disaggregating asthma: Big investigation versus big data.

Authors:  Danielle Belgrave; John Henderson; Angela Simpson; Iain Buchan; Christopher Bishop; Adnan Custovic
Journal:  J Allergy Clin Immunol       Date:  2016-11-18       Impact factor: 10.793

Review 8.  The maternal microbiome during pregnancy and allergic disease in the offspring.

Authors:  Peter J Vuillermin; Laurence Macia; Ralph Nanan; Mimi Lk Tang; Fiona Collier; Susanne Brix
Journal:  Semin Immunopathol       Date:  2017-10-16       Impact factor: 9.623

9.  Genetic variation of ITGB3 is associated with asthma in Chinese Han children.

Authors:  Yan Zhang; Yuling Han; Liang Dong; Huafeng Yu; Lu Cheng; Xiuxia Zhao; Mingjie Ding
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

10.  Genetically determined ancestry is more informative than self-reported race in HIV-infected and -exposed children.

Authors:  Stephen A Spector; Sean S Brummel; Caroline M Nievergelt; Adam X Maihofer; Kumud K Singh; Murli U Purswani; Paige L Williams; Rohan Hazra; Russell Van Dyke; George R Seage
Journal:  Medicine (Baltimore)       Date:  2016-09       Impact factor: 1.889

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