Literature DB >> 12592296

5. Genetics of hypersensitivity.

John W Steinke1, Larry Borish, Lanny J Rosenwasser.   

Abstract

Genetics provides the basis for the host response to a variety of environmental factors that can play a role in the generation of complex genetic diseases, such as asthma and atopy. An understanding of the genetic bases for these conditions is therefore essential to understand their pathophysiology. Studies of the genetics of asthma and atopy have suffered from several daunting challenges. These include the recognition that these are conditions caused by numerous genes, with each gene assuming variable roles in different individuals. In addition, each gene presumably contributes only a small percentage to a given individual's genetic risk of asthma. This has led to the current situation, in which studies often demonstrate a lack of replication that can be explained by their being insufficiently powered. Furthermore, the pathophysiologies of asthma and atopy are incompletely understood, and the lack of clearly defined phenotypes also contributes to the inadequacies of the current literature. Nonetheless, regions of the human genome have been reproducibly associated with asthma and atopy. These regions have undergone intense study, and many genetic variants within them have been implicated as asthma and allergy genes. In addition, through candidate gene approaches, several genetic polymorphisms have been convincingly linked to increased risks for the development of asthma and atopy. Many of these genes are associated with alterations in responsiveness to therapeutic agents used in the treatment of these conditions. These genetic studies have an exciting potential for individually tailoring the therapeutic regimen to a given subject's genotype. It is to be hoped that they will also define new targets for the next generation of asthma and allergy therapeutic agents.

Entities:  

Mesh:

Year:  2003        PMID: 12592296     DOI: 10.1067/mai.2003.143

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  14 in total

1.  Linkage analysis of ordinal traits for pedigree data.

Authors:  Rui Feng; James F Leckman; Heping Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-17       Impact factor: 11.205

2.  T cell Ig and mucin 1 (TIM-1) is expressed on in vivo-activated T cells and provides a costimulatory signal for T cell activation.

Authors:  Anjali J de Souza; Timothy B Oriss; Katherine J O'malley; Anuradha Ray; Lawrence P Kane
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-11       Impact factor: 11.205

3.  Distribution characteristics and linkage disequilibrium of TIM4 promoter polymorphisms in asthma patients of Chinese Han population.

Authors:  Pengcheng Cai; Qiwen Wu; Lin Wang; Juan Xiong; Fenghua Chen; Lihua Hu
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2008-08-15

4.  Statistical Analysis in Genetic Studies of Mental Illnesses.

Authors:  Heping Zhang
Journal:  Stat Sci       Date:  2011-01-01       Impact factor: 2.901

5.  Targeting the binding interface on a shared receptor subunit of a cytokine family enables the inhibition of multiple member cytokines with selectable target spectrum.

Authors:  Toshie Nata; Asjad Basheer; Fiorenza Cocchi; Richard van Besien; Raya Massoud; Steven Jacobson; Nazli Azimi; Yutaka Tagaya
Journal:  J Biol Chem       Date:  2015-07-16       Impact factor: 5.157

6.  Unraveling the genetic basis of asthma and allergic diseases.

Authors:  Jian-Feng Meng; Lanny J Rosenwasser
Journal:  Allergy Asthma Immunol Res       Date:  2010-06-11       Impact factor: 5.764

Review 7.  The role of the T-cell costimulatory molecule Tim-1 in the immune response.

Authors:  Miranda Curtiss; John Colgan
Journal:  Immunol Res       Date:  2007       Impact factor: 2.829

8.  High interleukin-4 expression and interleukin-4 gene polymorphisms are associated with susceptibility to human paracoccidioidomycosis.

Authors:  Mônica Sawan Mendonça; Terezinha S Peraçolli; Mário León Silva-Vergara; Sílvio C Ribeiro; Rafael Faria Oliveira; Rinaldo Poncio Mendes; Virmondes Rodrigues
Journal:  Mem Inst Oswaldo Cruz       Date:  2015-09       Impact factor: 2.743

9.  Probiotics, prebiotics, and synbiotics: gut and beyond.

Authors:  Usha Vyas; Natarajan Ranganathan
Journal:  Gastroenterol Res Pract       Date:  2012-09-19       Impact factor: 2.260

10.  Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction model on childhood allergic asthma.

Authors:  Yasuyuki Tomita; Shuta Tomida; Yuko Hasegawa; Yoichi Suzuki; Taro Shirakawa; Takeshi Kobayashi; Hiroyuki Honda
Journal:  BMC Bioinformatics       Date:  2004-09-01       Impact factor: 3.169

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