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The significance for each respective SNP was strengthened after considering the join effect of multiple SNPs (see Table 5).
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Furthermore, the genomic relationship matrix can also be computed on a SNP-by-SNP basis or on the basis of haplotypes spanning multiple adjacent SNP (see Appendix A for further details).
We first used UNPHASED to test associations between 2 8 locus haplotypes since this program features a convenient, automatic sliding window approach that minimizes multiple testing by only testing adjacent SNPs (see FIGURE 5, only significant haplotypes are shown).
*After excluding two outlier SNPs and three mitochondrial SNPs (see text for details).
Notably, the common SNPs did not follow all of the patterns seen here for low-frequency SNPs (see File S3).
These constituted 0.12% of all SNPs seen in the twins.
We used logistic regression analyses that included multiple SNPs to determine whether multiple SNPs have independent associations within the region.
This has been a successful strategy for discovering disease-associated genes; however, complex disease states are frequently due to additive effects from multiple common variants, as seen, for example, in the multiple SNPs associated with telomere maintenance and BC risk [ 22].
Analyses to examine the potential role of multiple SNPs utilized models that included two SNPs, each with an additive effect.
The established method is accurate and can be used to type multiple SNPs simultaneously.
Future research needs to include multiple SNPs.
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