STUDY DESIGN: Peripheral maternal blood from 495 women was used for extraction of DNA and genotyping was carried out using the Sequenom MassARRAY platform. Maternal plasma was used to measure IL1B levels.
RESULTS: There was no significant association between the allelic and genotype distribution of IL1B single nucleotide polymorphism (SNP) (rs1143634, rs1143627, rs16944) and the risk of PTB among Malaysian Malay women (rs1143634, P=0.722; rs1143627, P=0.543; rs16944, P=0.615). However, IL1B levels were significantly different between women who delivered preterm compared with those who delivered at term (P=0.030); high mean levels were observed among Malay women who delivered at preterm (mean=32.52) compared with term (mean=21.68). IL1B SNPs were not associated with IL1B plasma levels.
CONCLUSION: This study indicates a significant association between IL1B levels and reduced risk of PTB among the Malaysian Malay women. This study shows the impact of IL1B levels on susceptibility to PTB disease; however, the high levels of IL1B observed among women in the preterm group are not associated with IL1B SNPs investigated in this study; IL1B high levels may be because of other factors not explored in this study and therefore warrant further investigation.
MATERIALS AND METHODS: We evaluated simple statistics and published model-based approaches. Multiplex-qPCR was conducted to determine the expression of 24 candidate RG in AMLs (N=9). Singleplex-qPCR was carried out on selected RG (SRP14, B2M and ATP5B) and genes of interest in AML (N=15) and healthy controls, HC (N=12).
RESULTS: RG expression levels in AML samples were highly variable and coefficient of variance (CV) ranged from 0.37% to 10.17%. Analysis using GeNorm and Normfinder listed different orders of most stable genes but the top seven (ACTB, UBE2D2, B2M, NF45, RPL37A, GK, QARS) were the same. In singleplex-qPCR, SRP14 maintained the lowest CV in AML samples. B2M, one of most stable reference genes in AML, was expressed near significantly different in AML and HC. GeNorm selected ATP5B+SRP14 while Normfinder chose SRP14+B2M as the best two RG in combination. The median expressions of combined RG genes in AML compared to HC were less significantly different than individually implying smaller expression variation after combination. Genes of interest normalised with RG in combination or individually, displayed significantly different expression patterns.
CONCLUSIONS: The selection of best reference gene in qPCR must consider all sample sets. Model-based approaches are important in large candidate gene analysis. This study showed combination of RG SRP14+B2M was the most suitable normalisation factor for qPCR analysis of AML and healthy individuals.