Table 2.
Dataset overlap statistics for single nucleotide polymorphisms identified for multivariate kidney function
| Intersections between metaCCA or canonical correlation analysis identified single nucleotide polymorphisms | Total number of single nucleotide polymorphisms | Degree | Observed overlap | Expected overlap | Fold enrichment | P-value |
|---|---|---|---|---|---|---|
| CKDGen (4855) & BioBank Japan (2,091) | 5,053,995 | 2 | 394 | 2.897 | 136.01 | 2.23E−308 |
| CKDGen (12,718) & NURTuRE-CKD (275,787) | 5,410,817 | 2 | 812 | 647.917 | 1.26 | 9.54E−11 |
| CKDGen (12,955) & Salford Kidney Study (294,406) | 5,845,881 | 2 | 487 | 652.430 | 0.75 | 1 |
| CKDGen (12,711) & NURTuRE-CKD (272,655) & Salford Kidney Study (268,630) | 5,355,804 | 3 | 62 | 32.457 | 1.91 | 2.50E−6 |