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Trait Data and Analysis for 2383312

Presenilin 2 (Alzheimer disease 4)

Details and Links

Group Human: HSB group
Tissue Inferior Temporal Cortex mRNA
Gene Symbol PSEN2
Aliases Wikidata: Not available
GeneNetwork: PSEN2; AD3L; AD4; CMD1V; PS2; STM2
Location Chr 1 @ 226.985289 Mb
Summary Alzheimer's disease (AD) patients with an inherited form of the disease carry mutations in the presenilin proteins (PSEN1 or PSEN2) or the amyloid precursor protein (APP). These disease-linked mutations result in increased production of the longer form of amyloid-beta (main component of amyloid deposits found in AD brains). Presenilins are postulated to regulate APP processing through their effects on gamma-secretase, an enzyme that cleaves APP. Also, it is thought that the presenilins are involved in the cleavage of the Notch receptor such that, they either directly regulate gamma-secretase activity, or themselves act are protease enzymes. Two alternatively spliced transcript variants encoding different isoforms of PSEN2 have been identified. [provided by RefSeq, Jul 2008]
Database Human Inferior Temporal Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile
Resource Links Gene    OMIM    GeneMANIA    Protein Atlas    Rat Genome DB    GTEx Portal   
BioGPS    STRING    PANTHER    Gemma    ABA    EBI GWAS   

Statistics


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Calculate Correlations

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Sample Correlation
The Sample Correlation is computed between trait data and any other traits in the sample database selected above. Use Spearman Rank when the sample size is small (<20) or when there are influential outliers.
Literature Correlation
The Literature Correlation (Lit r) between this gene and all other genes is computed
using the Semantic Gene Organizer and human, rat, and mouse data from PubMed. Values are ranked by Lit r, but Sample r and Tissue r are also displayed.
More on using Lit r
Tissue Correlation
The Tissue Correlation (Tissue r) estimates the similarity of expression of two genes or transcripts across different cells, tissues, or organs (glossary). Tissue correlations are generated by analyzing expression in multiple samples usually taken from single cases.
Pearson and Spearman Rank correlations have been computed for all pairs of genes using data from mouse samples.

Mapping Tools

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Review and Edit Data



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  # read into R
  trait <- read.csv("2383312.csv", header = TRUE, comment.char = "#")

  # read into python
  import pandas as pd
  trait = pd.read_csv("2383312.csv", header = 0, comment = "#")
            
          
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Samples


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