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Ülegenoomne assotsiatsiooniuuring kubemesonga geneetiliste ...

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9 Summary<br />

Repair of inguinal hernia is one of the most common operations in general surgery. Thus<br />

there are many methods of inguinal hernia repair, etiology of hernia formation still poorly<br />

understood. The cause of inguinal hernia is multifactorial and previous studies provide<br />

evidence for a genetic component of the disease. The aim of the present study has been<br />

identifying genetic loci that can be associated with inguinal hernia in Estonian population.<br />

In the present study 8 911 794 markers for 3851 were analysed for individuals from Estonia<br />

population. The logistic regression method was used to analyse inguinal hernia data and<br />

covariates sex and age were used. Markers were tested using an additive model.<br />

In this study genome-wide statistical significant associations were not identified. Our results<br />

suggest, that there are no genes with large effects to hernia but rather many genes all having<br />

small relative risks. Additionally, the phenotype of disease is complex and the selection of<br />

cases and controls can be suboptimal.<br />

The associations with P-value less than 10 -5 revealed 35 loci containing 5 loci, which<br />

potentially are novel candidate loci for inguinal hernia. These loci were near or within<br />

HTRA3, NRG1, MFAP5, PDZRN3 and TBC1D19 gene regions. All this genes are<br />

associated with collagen or extracellular matrix, which have been mentioned in previous<br />

studies of inguinal hernia. In additional analysis, men were analysed separately. Both<br />

analysis – men separately and all individuals, revealed the same locus, NRG1. Interestingly,<br />

this gene is associated with collagen diassamble.<br />

Even through present genome-wide association study didn’t identify statistically significant<br />

results, several interesting novel loci were found for inguinal hernia. To validate the results,<br />

a replication study must be considered using independent cohort data.<br />

38

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