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. 2016 Sep 19;6(11):3671–3683. doi: 10.1534/g3.116.033274

Table 2. KEGG pathways underlying eQTL biological effects in the white adipose tissue transcriptome in the GK × BN F2 cross.

Congenics
Rank KEGG ID P Value Count Size Term Upregulation Downregulation
1 5332 <0.01 17 34 Graft vs. host disease
2 4145 <0.01 41 128 Phagosome
3 4940 <0.01 18 39 Type 1 diabetes mellitus
4 5416 <0.01 24 61 Viral myocarditis GK.BN7a, 8a, 10_7a
5 4612 <0.01 22 58 Antigen processing and presentation BN.GK7a BN.GK1p; GK.BN10_7a
6 5330 <0.01 16 37 Allograft rejection
7 5320 <0.01 16 39 Autoimmune thyroid disease
8 4514 <0.01 29 92 Cell adhesion molecules BN.GK1v,10a; GK.BN8a, 10_7a
9 1100 <0.01 167 798 Metabolic pathways
10 5140 <0.01 19 53 Leishmaniasis BN.GK7a, 7d GK.BN10_7a
11 5322 <0.01 19 59 Systemic lupus erythematosus
12 380 <0.01 11 27 Tryptophan metabolism
13 5150 0.01 12 33 Staphylococcus aureus infection
14 250 0.01 9 22 Alanine, aspartate, and glutamate metabolism
15 280 0.01 12 34 Valine, leucine, and isoleucine degradation BN.GK5a; GK.BN7a, 8a, 10_7a BN.GK7d
16 360 0.01 5 9 Phenylalanine metabolism
17 350 0.01 7 16 Tyrosine metabolism
18 650 0.02 7 17 Butanoate metabolism
19 71 0.02 11 33 Fatty acid metabolism GK.BN7a, 8a
20 790 0.02 4 7 Folate biosynthesis
21 5144 0.02 11 34 Malaria
22 511 0.02 6 14 Other glycan degradation
23 4650 0.02 19 70 Natural killer cell-mediated cytotoxicity BN.GK7a, 8b GK.BN7a, 8a, 10_7a
24 4640 0.02 15 52 Hematopoietic cell lineage GK.BN10_7a
25 982 0.03 13 44 Drug metabolism – cytochrome P450 GK.BN7a, 8a, 10_7a
26 270 0.03 9 27 Cysteine and methionine metabolism BN.GK1v; GK.BN7a
27 4975 0.03 9 27 Fat digestion and absorption
28 450 0.04 5 12 Selenocompound metabolism
29 4970 0.05 15 57 Salivary secretion
30 4512 0.05 15 57 Extra-cellular matrix-receptor interaction BN.GK1b, 1q, 1v, 5c, 10a; GK.BN8a, 10_7a

Data were analyzed with sex and cross as additive covariates. Congenic strains showing upregulation or downregulation in pathways identified in F2 hybrids are listed. Details of pathways can be found at www.genome.jp/kegg/.