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. 2019 Nov 6;10(11):893. doi: 10.3390/genes10110893

Table A1.

Repeatability across results for the Bayesian sparse linear mixed model (BSLMM).

10 M Iterations
Seeds 1–10
10 M Iterations
Seeds 11–20
20 M Iterations
Seeds 1–10
30 M Iterations
Seeds 1–10
CHR Sugg Sign Sugg Sign Sugg Sign Sugg Sign
1 2 0 NA NA NA NA NA NA
1 1 0 NA NA 1 0 4 0
2 38 27 5 1 32 2 5 1
3 NA NA NA NA 1 NA
4 54 4 25 2 3 0 5 2
6 68 4 8 1 11 2 11 2
7 14 0 10 0 5 0 8 0
8 6 0 NA NA NA NA NA NA
9 NA NA 2 0 NA NA NA NA
14 NA NA NA NA 1 0 NA NA
15 6 1 5 1 5 2 12 1
16 NA NA NA NA 2 0 NA NA
18 NA NA 1 0 NA NA NA NA
19 NA NA NA NA NA NA 3 0
20 NA NA NA NA NA NA 1 0
22 NA NA NA NA 4 0 NA NA
23 NA NA 11 0 NA NA NA NA
24 NA NA 4 1 16 0 NA NA

Repeatability across results for the Bayesian sparse linear mixed model (BSLMM) using the max gamma values from 10 million (M) iterations with seeds 1–10, 10 M iterations with seeds 11–20, 20 M iterations with seeds 1–10, and 30 M iterations with seeds 1–10 for adiponectin concentrations in the Morgan horses. Regions which are highlighted in yellow indicate those which would have been identified as a region of interest (contained a minimum of five SNPs exceeding the suggestive threshold, with at least one SNP exceeding the threshold for genome wide significance). Abbreviations: Sugg (total number of SNPs which exceeded the suggested threshold for genome-wide significance), Sign (total number of SNPs which exceed the threshold for genome-wide significance).