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The idea is to extract maximum genetic information from the data, admitting that exhaustivity or sufficiency are generally out of reach.
We used a strategy that allowed for the maximum genetic information, in addition to potential functional SNPs from each locus, to select SNPs from genomic regions containing genes hypothesized to be involved with pesticide metabolism.
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Intragenic and regulatory SNPs are more likely to be of functional importance, while haplotype-tagging SNPs (htSNPs) are valuable in that they use LD to extract the maximum amount of genetic information from a particular haplotype block and to possibly tag for SNPs with an unrecognized biological function.
Our experiments demonstrate that application of TIE* captures maximum amount of genetic information about RA in the data and recapitulates the major consensus findings about the genetic factors of this disease.
A combination of both the 454-pyrosequencing ESTs and the Sanger-based sequences offered the maximum amount of genetic information available for rainbow trout so far; 521 M bp, 1,380,311 ESTs and 422,889 unique sequences (Table 2).
These findings, corroborated by comparison with the literature and expert knowledge of rheumatoid arthritis, suggest that TIE* allows for unravelling of the maximum amount of genetic information about the disease that is available in the data in a highly efficient and short discovery cycle.
Moreover, an integrated approach and the development of new mathematical and computational methods, for extracting maximum information from molecular and genetic information on individuals and from other clinical data and history, as well as integrating all of this information into predictive models, become necessary for the application of the P4 medicine [ 58, 59].
A maximum parsimony tree was built using the genetic information from the entire mtDNA molecule (excluding the fastest mutational variants).
A possible explanation is that RNA viruses replicate their genomes at the maximum error rate compatible with the preservation of genetic information, and additional increases would lead to fitness losses that could cause the extinction of the population [29], [30].
However, species-specific limitations of the maximum possible spatial resolution exist due to the exchange of genetic information within and among populations in the past and present.
In some fitness landscapes it also predicts the existence of a maximum mutation rate, called the error threshold, beyond which the quasispecies enters into error catastrophe, losing its genetic information.
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