In the current study, genes of interest were selected using a previous TWAS testing the association between gene expression and current versus never-smoking status [8 (link)]. In this TWAS, the meta-analysis was performed on all transcripts with matching gene Entrez IDs. Employing a significance threshold of FDR < 0.05, 886 significant gene Entrez IDs were identified, of which 387 replicated in an independent dataset. Employing the annotation file provided by the Illumina (HumanHT-12_V4), we found 502 gene expression probes to be annotated to these gene Entrez IDs out of which 443 were present in the Rotterdam Study and were included in the current study (Additional file
Gene Expression Profiling of Smoking Status
In the current study, genes of interest were selected using a previous TWAS testing the association between gene expression and current versus never-smoking status [8 (link)]. In this TWAS, the meta-analysis was performed on all transcripts with matching gene Entrez IDs. Employing a significance threshold of FDR < 0.05, 886 significant gene Entrez IDs were identified, of which 387 replicated in an independent dataset. Employing the annotation file provided by the Illumina (HumanHT-12_V4), we found 502 gene expression probes to be annotated to these gene Entrez IDs out of which 443 were present in the Rotterdam Study and were included in the current study (Additional file
Corresponding Organization :
Other organizations : Erasmus MC, Helmholtz Zentrum München, Heinrich Heine University Düsseldorf, Deutsches Diabetes-Zentrum e.V.
Variable analysis
- Current versus never-smoking status
- Gene expression
- None explicitly mentioned
- Positive control: None mentioned
- Negative control: None mentioned
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!