LIFE09200604007 Tabish - Homi Bhabha National Institute
LIFE09200604007 Tabish - Homi Bhabha National Institute
LIFE09200604007 Tabish - Homi Bhabha National Institute
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Summary and Conclusions<br />
Together, our data suggest that intermediate phenotypes of cancer<br />
susceptibility might be potentially useful in identifying UADT MPN risk subgroups.<br />
Identifying distinctive polymorphism based G Score signature can differentiate the<br />
study participants into two different subsets and its correlation with various phenotypic<br />
effects (indicating a gene-environment interaction) may have an important bearing on<br />
predisposing an individual to UADT MPN development. However one of the<br />
limitations of our study was that the 22 SNPs that were included were probably<br />
insufficient to account for the absolute risk prediction. It is quiet likely that several<br />
other genes and minor or major carcinogens exist that have not been evaluated in our<br />
study. Therefore it is possible that the addition of rare risk alleles with greater effects,<br />
or a larger number of common risk alleles with small individual effects, could improve<br />
discrimination.<br />
Nevertheless combination of our selected SNPs shows a correlation with<br />
phenotypes and make us believe that in near future if more number of such studies are<br />
conducted we can arrive on a panel of SNPs that probably can be used as a prediction<br />
marker for risk assessment of patients with a high risk of MPN development. Another<br />
limitation of the study was that our Genotype Score gave all alleles the same weight;<br />
this may not be a true reflection of the biological basis of UADT MPN etiology.<br />
One of the highlights of our study was that we have correlated risk genotype<br />
with adverse phenotypic characteristics and undertaken interaction between genes and<br />
the environment that might alter the genetic risk in exposed individuals that remains the<br />
cornerstone of approaches to predicting cancer risk. To the best of our knowledge our<br />
study provides the first molecular epidemiological evidence correlating 22 gene<br />
polymorphisms (falling in multiple pathways) with alteration in phenotypic effect under<br />
three categories (cell-cycle checkpoints, apoptosis and DNA repair capacity) on same<br />
subset of patients and generating a genotype and molecular phenotype correlation for<br />
understanding UADT MPN risk.<br />
Our findings emphasize the importance of assessing collective effects from a<br />
panel of polymorphisms in modulating phenotypic effects following genotoxic<br />
exposure. It is an important contribution to available literature wherein, for the first<br />
time SNPs in major metabolic and biological pathways implicated in carcinogenesis<br />
have been correlated with intermediate phenotype in order to analyse the functional<br />
significance of gene polymorphisms and cancer predisposition in the unique Indian<br />
UADT MPN cohort.<br />
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