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The identification of SL interactions is of considerable therapeutic interest because if a particular gene is SL with a tumor-causing mutation, then the targeting that gene carries therapeutic advantages.
If the drugs in use possess a degree of triple cross-resistance (such as imatinib, dasatinib and nilotinib with the T315I mutation), then the presence of other mutations does not really alter the outcome.
If the proband has a mutation, then the parents and siblings need to have appropriate mutation analysis.
If BRCA1 promoter methylation analysis would be performed to exclude a germline BRCA1 mutation, then the specificity would be 100% (31 out of 31).
If all remaining SNPs (5.75%) were caused by mutation, then the r/m ratio would be calculated as 94.25/5.75 = 16.39.
If the response to a therapeutic agent depends on the presence or absence of a particular DNA mutation, then the availability of tumour-derived DNA for mutation analysis becomes critically important.
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Thus, all other things being equal, if sex serves to efficiently clear detrimental mutations, then the sexual-mutator lines are predicted to be between 1.5% to 3% greater in mean equilibrium fitness compared with the asexual-mutator lines in the permissive environment, which mostly imposes purifying selection.
If the rate of adaptive evolution is limited by the supply of mutations then the level of neutral diversity is a product of two conflicting processes; as the population size increases so neutral diversity tends to increase, but at the same time the number of adaptive substitutions increases and this decreases diversity.
If differences between the ancestor and the reference represent both neutral and selected mutations, then the mutation spectrum might differ from that observed among the MA lines.
Caribbean populations have the wider mismatch distributions (13 15 mutations), followed by the Brazilian/Central Atlantic populations (8 10 mutations), then the eastern Atlantic populations (5 7 mutations).
If we take those new sites as sequencing errors, and not PCR errors or recent mutations, then the average error frequency is 4.8 errors in 104 bases.
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