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Table 4 Additive effects with BF ≥ 1 in analyzing the BM2 data.

From: Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases

Marker Coefficient S.D. BF
1-0 -0.2181 0.1426 > 1000
1–3.6 -0.1438 0.1506 920.66
1–23.4 -0.1909 0.0654 > 1000
2–6.98 -0.2393 0.0809 > 1000
2–27 -0.3361 0.0855 > 1000
2–67.96 -0.0561 0.1093 1.29
2–69 -0.1473 0.1146 > 1000
2–113.92 -0.2496 0.0509 > 1000
2–145.85 -0.1145 0.0856 79.06
3–4.99 -0.1973 0.0954 > 1000
3–14.33 -0.2855 0.0928 > 1000
3–28.74 -0.1754 0.0934 > 1000
3–43.2 -0.0586 0.1077 1.80
3–47 -0.2213 0.1648 > 1000
3–49.99 -0.1749 0.1355 > 1000
3–83.15 -0.5978 0.0781 > 1000
3–126.62 -0.1970 0.1066 > 1000
3–147.69 -0.0698 0.0826 3.05
3–161.43 -0.1982 0.0950 > 1000
3–171.22 -0.2385 0.1028 > 1000
  1. The position of each significant additive effect is specified by an index of the corresponding chromosome and its location on this chromosome (cM). The estimated sizes of additive effects and the standard deviations of the Markov chains are also shown in the columns of coefficient and S.D., respectively.