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Figure 5: Real time qPCR confirmation of eQTLs. Real-time PCR data for gene expression and genotyping confirmed SNPs rs10493821, rs10876864, rs61894779, and rs6060535 as eQTLs affecting the expression of GBP3,
RPS26P11, XRRA1, and RBM12, respectively, in lung adenocarcinoma disease research. X-axis corresponds to
genotype of the samples as identified by the GT app on Thermo Fisher Connect, while Y-axis corresponds to mean
Ct as determined by the RQ app (also on Thermo Fisher Connect). The box plots were generated on JMP®, Version
13 (SAS Institute Inc.).
Here we demonstrate a streamlined workflow to
identify and confirm eQTLs associated with the research of lung adenocarcinoma using Applied Biosystems gene expression and genotyping microarrays, the MatrixEQTL R package to analyze data and
identify eQTLs, and TaqMan real-time PCR assays for

of disease progression and are gaining importance
as biomarkers in diseases. Identifying eQTLs associated with diseases can involve lengthy and expensive solutions for discovery and screening, followed
by cumbersome data analysis and a vast selection
of techniques and assays to choose for verification.

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Thermo ebook on eQTL

Table of Contents for the Digital Edition of Thermo ebook on eQTL

Contents
Thermo ebook on eQTL - 1
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