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. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: Alzheimers Dement. 2014 Dec 20;11(6):658–671. doi: 10.1016/j.jalz.2014.05.1757

Table 2. Clusters of significant pathways in combined IGAP GWAS and replication data (Sidak-corrected p-value <0.05).

Cluster Pathway number #genes #sig p-value p-value no GWS Description
1 GO: 2455 32 5 3.27E-12 5.72E-01 humoral immune response mediated by circulating immunoglobulin
1 GO:50776 421 29 3.24E-09 1.57E-04 regulation of immune response
1 GO: 2684 421 31 3.95E-09 2.11E-04 positive regulation of immune system process
1 GO:50778 271 21 1.55E-07 6.65E-04 positive regulation of immune response
1 KEGG 4664 78 13 5.76E-04 2.18E-02 Fc epsilon RI signaling pathway
2 GO:60627 140 20 1.31E-11 2.00E-01 regulation of vesicle-mediated transport
2 GO:30100 88 14 6.76E-10 1.06E-01 regulation of endocytosis
2 GO:45806 19 6 3.91E-07 1.77E-02 negative regulation of endocytosis
2 GO:48261 6 3 3.89E-06 9.82E-01 negative regulation of receptor-mediated endocytosis
2 GO:48259 30 6 6.19E-05 1.00E+00 regulation of receptor-mediated endocytosis
3 GO:30301 41 8 2.96E-09 2.51E-01 cholesterol transport
3 GO:43691 16 5 3.90E-09 2.78E-01 reverse cholesterol transport
3 GO:15918 42 8 3.91E-09 3.15E-01 sterol transport
3 GO:34366 8 2 6.40E-07 N/A spherical high-density lipoprotein particle
4 KEGG 4640 81 11 1.05E-08 4.91E-01 Hematopoietic cell lineage
5 GO:32434 40 5 1.34E-06 1.00E+00 regulation of proteasomal ubiquitin-dependent protein catabolic process positive regulation of ubiquitin-protein ligase activity involved in mitotic cell
5 GO:51437 70 9 2.60E-03 2.60E-03 cycle
5 GO:51439 76 9 3.82E-03 3.82E-03 regulation of ubiquitin-protein ligase activity involved in mitotic cell cycle
5 REACT 440 108 11 3.89E-03 3.89E-03 REACTOME_CELL_CYCLE_CHECKPOINTS
5 GO:51443 77 9 9.62E-03 9.62E-03 positive regulation of ubiquitin-protein ligase activity
6 REACT 539 261 25 2.95E-05 6.93E-02 REACTOME_HEMOSTASIS
7 GO:30131 31 7 1.20E-03 9.13E-01 clathrin adaptor complex
7 GO:30119 32 7 1.53E-03 9.54E-01 AP-type membrane coat adaptor complex
7 GO:44433 301 31 1.01E-02 1.00E+00 cytoplasmic vesicle part
7 GO:30122 9 4 1.29E-02 1.00E+00 AP-2 adaptor complex
7 GO:30118 39 7 1.35E-02 1.00E+00 clathrin coat
8 GO: 6457 200 12 1.60E-03 1.00E+00 protein folding

To obtain the most strongly enriched pathways in the entire dataset (IGAP GWAS and replication), the p-values from the ALIGATOR analysis (counting the top 5% of genes as significant) were combined with those from the replication study using Fisher's method. The resulting p-values from the combined samples were corrected for multiple testing of 9,816 pathways using Sidak's formula. For each pair of gene sets, an overlap measure K was defined as the number of genes common to both sets divided by the number of genes in the smaller dataset. A gene set was assigned to a cluster if the average K between it and the gene sets already in the cluster was greater than 0.4. If it was not possible to assign a gene set to an existing cluster, a new cluster was started. This procedure was carried out recursively, in descending order of enrichment significance. Clusters containing a significant pathway are listed here, and where more than 5 pathways are significant only the five most significant pathways in each cluster are shown. A complete list of pathways significant at p<0.01 in the ALIGATOR analysis of the IGAP GWAS data is given in Supplementary Table 4. “No GWS” refers to analyses in which genes containing a SNP genome-wide significant (p<5×10-8) in the IGAP GWASdataset (and thus expected to be strongly significant in the replication dataset) are removed from the analysis of the replication data.