Literature DB >> 16886151

Association of polymorphisms of IGF1R and genes in the transforming growth factor- beta /bone morphogenetic protein pathway with bacteremia in sickle cell anemia.

Adeboye H Adewoye1, Vikki G Nolan, Qianli Ma, Clinton Baldwin, Diego F Wyszynski, John J Farrell, Lindsay A Farrer, Martin H Steinberg.   

Abstract

Infection and bacteremia are common in sickle cell disease. We hypothesized that, consistent with evidence for the genetic modulation of other disease complications, the risk of developing bacteremia might also be genetically modulated. Accordingly, we studied the association of single nucleotide polymorphisms (SNPs) in candidate genes with the risk of bacteremia in sickle cell anemia. We found significant associations with SNPs in IGF1R and genes of the TGF-beta /BMP pathway (BMP6, TGFBR3, BMPR1A, SMAD6 and SMAD3). We suggest that both IGF1R and the TGF-beta /BMP pathway could play important roles in immune function in sickle cell anemia and their polymorphisms may help identify a "bacteremia-prone" phenotype.

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Year:  2006        PMID: 16886151     DOI: 10.1086/506356

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  14 in total

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4.  Sickle Cell Disease in the Post Genomic Era: A Monogenic Disease with a Polygenic Phenotype.

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Journal:  Genomics Insights       Date:  2009-07-30

5.  Vasculopathy in sickle cell disease: Biology, pathophysiology, genetics, translational medicine, and new research directions.

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Review 6.  Minireview: Genetic basis of heterogeneity and severity in sickle cell disease.

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Journal:  Exp Biol Med (Maywood)       Date:  2016-03-01

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Review 9.  Sickle Cell Anemia and Its Phenotypes.

Authors:  Thomas N Williams; Swee Lay Thein
Journal:  Annu Rev Genomics Hum Genet       Date:  2018-04-11       Impact factor: 9.340

Review 10.  Genomic approaches to identifying targets for treating β hemoglobinopathies.

Authors:  Duyen A Ngo; Martin H Steinberg
Journal:  BMC Med Genomics       Date:  2015-07-29       Impact factor: 3.063

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