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Polymorphisms in TGFbeta and TNFalpha are associated with the myelodysplastic syndrome phenotype.

Authors: Martin P, Powers; Ha, Nishino; Yamin, Luo; Alina, Raza; Amulya, Vanguri; Lawrence, Rice; Youli, Zu; +1 Authors

Polymorphisms in TGFbeta and TNFalpha are associated with the myelodysplastic syndrome phenotype.

Abstract

Myelodysplastic syndromes (MDSs) are characterized by ineffective hematopoiesis, excessive apoptosis, and the aberrant expression of a number of cytokines. The genes encoding these cytokines are significantly polymorphic. It is unknown whether these cytokine polymorphisms are associated with, and may therefore be playing a role in the pathogenesis of, MDS.To determine if certain polymorphisms in the tumor necrosis factor alpha (TNF-alpha) and transforming growth factor beta (TGF-beta) cytokines are overrepresented in a cohort of patients with MDSs.DNA was isolated from the peripheral blood or bone marrow aspirate of 21 patients with MDS. The genotypes for 4 different polymorphisms, 2 in TNFalpha and 2 in TGFbeta1, were determined using single-specific-primer polymerase chain reaction. The allele and genotype frequencies were compared with similar populations in the National Cancer Institute SNP500 database.In our MDS population, the -308A/A genotype of the TNFalpha gene and the TGFbeta1 allele +29T and genotype +29T/T, each associated with higher levels of expression, were overrepresented in our MDS population.Polymorphisms associated with increased expression in the cytokines TNFalpha and TGFbeta1 are overrepresented in the MDS population suggesting that increased TNF-alpha and TGF-beta1 activity may contribute to the susceptibility and/or pathogenesis of MDS. Further studies with larger sample sizes are warranted to confirm our observation.

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Keywords

Phenotype, Gene Frequency, Transforming Growth Factor beta, Tumor Necrosis Factor-alpha, Myelodysplastic Syndromes, Humans, Polymerase Chain Reaction, Polymorphism, Single Nucleotide

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    21
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Average
Top 10%
Top 10%
gold
Related to Research communities
Cancer Research