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. 2014 May 12;6(6):468–480. doi: 10.18632/aging.100660

Table 2. Estimated QTL effects for apoptotic cell fraction (ACF). Results for the multiple QTL additive model are shown, including additive and dominance effects for each QTL.

LG QTL, cMǂ LOD %Var. F P-val.ˆ BayesInt Additive (se)ˇ Dominance (se)ˇ Peak marker˚
Additive
4 43 8.4 11.9 3.8 *** 0.0-57.3 0.00(0.06) 0.22(0.08) ERG28
10 33 5.7 7.1 4.18 *** 24.1-40.6 0.16 (0.11) 0.35(0.15) HECTD3
15 24 5.4 5.7 3.7 ** 19.2-28.3 0.06(0.09) 0.05 (0.13) PHPT1
6 45 2.1 2.9 4.5 * 21.1-55.7 −0.15(0.05) −0.09(0.08) PHB
7 2 0.9 1.2 0.65 * 0.0-105.2ˇ 0.02 (0.06) 0.16 (0.08) GSHR
Interaction a:a d:d a:d d:a
10:4 56:43 6.7 7.0 5.5 *** 0.01(0.13) −0.01(0.33) 0.35(0.16) 1.07(0.23)

LG, linkage group

ǂ

position of QTL in centimorgan

variance explained by QTL in F2 phenotype

Bayes confidence intervals (Manichaikul et al. 2006)

˚

Marker nearest to the cM position at which the greatest F-value was observed

ˆ

P values of the F-statistic: ‘***’< 0.001, ‘**’< 0.01, ‘*’< 0.05

ˇ

Additive (a) and dominance (d) effects with standard error in parentheses calculated from ln-transformed values, and direction shown as N. kadleci allele effect. Effect interactions are shown with (:)