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Table 1 Top 15 pathways associated with cholesterol levels out of 1346 canonical pathways tested in three GWAS datasets

From: Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems

Pathway

MSEA

Meta-MSEA

Meta-GWAS

Finnish (n = 8330)

Framingham (n = 7572)

GLGC (n = 100184)

Without GLGC

With GLGC

Lipid digestion, mobilization and transport

4.16

5.46

6.15

8.67

13.76

5.00

Lipoprotein metabolism

4.67

4.82

5.94

8.59

13.49

5.41

Chylomicron-mediated lipid transport

4.88

4.87

4.72

8.85

12.61

5.03

Metabolism of lipids and lipoproteins

3.15

1.71

6.15

4.00

8.53

3.56

Cytosolic tRNA aminoacylation

3.58

2.09

1.92

4.77

5.86

2.70

Binding and Uptake of Ligands by Scavenger Receptors

1.88

2.29

3.36

3.46

5.86

2.92

Scavenging by Class A Receptors

1.83

2.22

3.22

3.33

5.62

3.47

Metabolism

1.83

1.48

3.94

2.65

5.36

2.98

PPARA Activates Gene Expression

1.66

2.22

2.83

3.17

5.13

1.33

Retinoid metabolism and transport

1.01

2.75

3.04

2.84

4.94

1.42

Regulation of Lipid Metabolism by Peroxisome proliferator-activated receptor alpha (PPARalpha)

1.32

2.02

2.79

2.64

4.52

1.60

Fatty acid, triacylglycerol and ketone body metabolism

1.48

1.65

2.49

2.49

4.13

1.56

Clathrin derived vesicle budding

1.91

1.27

2.36

2.50

4.05

1.30

Diseases associated with visual transduction

1.41

1.89

2.18

2.62

4.03

2.34

ABC transporters

1.77

0.89

3.16

1.97

4.01

2.75

  1. The results are listed as − log10 P-values, and the full table is available in Additional file 3. MSEA was run with top 50 % of markers and LD cutoff r2 < 50 %. The column ‘Meta-GWAS’ was estimated according to inverse-variance meta-analysis of the cohort specific P-values at individual SNP level, followed by MSEA. The Bonferroni-adjusted 5 % significance level for 1346 independent tests is at − log10 P = 4.43