Single Omic analyses report

Single omic report overview

  • Cohort overview
  • Transcriptomics
  • Proteomics
  • Single omic comparison
  • Functional enrichment

Analysis summary

Analysis name: ADvsControl
Enrichment database: Reactome_2016

Cohort overview

Table1

Control
(N=20)
AD
(N=24)
Overall
(N=44)
PHF1
Mean (SD) 0.0985 (0.236) 1.67 (1.12) 1.20 (1.19)
Median [Min, Max] 0.00623 [0.000519, 0.679] 1.92 [0.00839, 3.57] 0.679 [0.000519, 3.57]
Missing 12 (60.0%) 5 (20.8%) 17 (38.6%)
amyloid
Mean (SD) 0.422 (0.333) 3.61 (2.68) 2.70 (2.69)
Median [Min, Max] 0.334 [0.0456, 0.968] 3.13 [0.0577, 8.38] 1.48 [0.0456, 8.38]
Missing 12 (60.0%) 4 (16.7%) 16 (36.4%)
PMD
Mean (SD) 26.2 (12.2) 25.1 (14.0) 25.6 (13.1)
Median [Min, Max] 23.0 [9.00, 47.0] 23.5 [8.00, 53.0] 23.0 [8.00, 53.0]

Transcriptomics

Analysis parameters

Dependent variable: diagnosis Differential expression design: ~diagnosis + age + sex + PMD
Log2 Fold Change threshold: 0.2
Adjusted p value threshold: 0.05
Filter protein coding genes: TRUE

Differential expression

Results

Volcano plot

Proteomics

Analysis parameters

Dependent variable: diagnosis
Differential expression design: ~0 + diagnosis
Actual design (if denoising in processing step): ~0 + diagnosis + PMD + sex + age
Log2 Fold Change threshold: 0.2
Adjusted p value threshold: 0.05

Differential expression

Results

Volcano plot

Single omic comparison

Table

Volcano plot

Correlation

Correlation between transcriptomics/proteomics: 0.2318711

We found a r=0.2318711 correlation between pairwise log2FoldChanges (p-value <0.05) indicating a moderate positive correlation between the mRNA and protein level changes, which is reinforced by the existence of discordant pairs.

Functional enrichment results

Transcriptomics

Up regulated genes

## No pathways were found to be significantly up regulated

Down regulated genes

Proteomics

Up regulated proteins

Down regulated proteins

Integrative pathway enrichment (Via multiGSEA)

multiGSEA works with nested lists where each sublist represents an omics layer. The function rankFeatures calculates the pre-ranked features, that are needed for the subsequent calculation of the enrichment score. rankFeatures calculates the a local statistic ls based on the direction of the fold change and the magnitude of its significance


Omix v1.0.0 – 2023-06-30 16:04:44

 

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