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Table 4 Selected results from the analysis of APOE dataset

From: Estimating linkage disequilibrium from genotypes under Hardy-Weinberg equilibrium

Loci pairReal countMIDASCubeX 1st solutionCubeX 2nd solutionCMLPossible alternative solution?CML alternative solutionLRTCML Decision
1–2141161411614116NA14116NoNANANA
030030030030
1–3696164666466NA6466NoNANANA
1713228228228
1–51201012191219120101219Yes120100.15Accept alternative
300291291300291300
1–9912191219121121189121Yes121181.84Accept alternative
327327327030327030
4–8983992992983992Yes9830.06Accept alternative
590581581590581590
5–7141914191419131191419Yes1311945.91Reject alternative
010010010100010100
5–91213811139111391213811139Yes121381.37Accept alternative
010191901019010
  1. Selected results from the analysis of APOE dataset. The second column shows the real haplotype counts which had been experimentally identified. MIDAS estimates are shown in the next column. CubeX 1st solution refers to the α or β solution set. CubeX 2nd solution refers to the γ solution set should it exist. Constrained ML’s estimates are presented in the sixth column. Log-likelihood was maximised within the entire feasible region. The next step is to decide whether a simpler solution is possible (e.g. there are only 3 haplotypes instead of 4). If we cannot rule of the possibility of having a simpler solution, the log-likelihood is then maximised within the restricted range, with 2 free parameters. LRT statistics are reported, which equal 2 times the differences between the log-likelihoods of the two solutions. If the LRT statistic is greater than \( {\chi}_{1,0.95}^2=3.84 \), we reject the alternative (simpler) solution at 5% confidence level. Complete results are shown in Additional file 1