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We can determine and count at scale the pairwise linkages that underlie a social graph, and even make it possible to compute important graph-level metrics like PageRank and Betweenness.
This is due to the fact that MCL discovers clusters by virtue of genes sharing higher-order connectivity in their local neighborhoods and not merely pairwise linkages.
After an initial round of mapping, loci were excluded from subsequent maps if they had a high frequency of suspect pairwise linkages, recombination fractions >0.60 and mapping LOD >1.5, high nearest neighbor fit values and low locus mean genotype probabilities, or if they had prominent order conflicts with the BC1/QTL-BASE2 reference map.
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Fig. 1 Pairwise linkage disequilibrium (LD) pattern for CXCL9-11 polymorphisms.
Pairwise linkage disequilibrium (LD) was ascertained using the Linkage Disequilibrium Analyzer 1.0 software (Ding et al. 2003).
In addition, Hardy Weinberg equilibrium (HWE) and pairwise linkage disequilibrium (LD) were analyzed by Haploview 4.2 software.
Haploview program version 4.1 (http://www.broad.mit.edu/mpg/haploview/) was used for haplotype analysis and for pairwise linkage disequilibrium, D′ and r2.
Pairwise linkage disequilibrium between genetic markers was assessed using the R "genetics" package (version 1.3.2).
Statistical calculation of pairwise linkage disequilibrium (LD) was performed and pictured using HAPLOVIEW 4.0 [23].
Figure 1a shows the pairwise linkage disequilibrium values observed in the control sample.
Pairwise linkage disequilibrium (LD) measure D' was 1.00 between all SNPs except between rs10838524 and rs7123390 where D' was 0.67.
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