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Previous research has focused mainly on cell formation problems and their variants; however, only few articles have focused on more practical and complicated problems that simultaneously consider the three critical issues in the CMS-design process, i.e., cell formation, cell layout, and intracellular machine sequence.
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Although an effect of "old" mtDNA mutations in some multi-factorial/complex (and common) diseases cannot be ruled out a priori, a pathogenic role specific for such variants can, however, only be inferred from association studies in which haplogroup frequencies are properly evaluated in both patients and controls [31].
Identified variants, however, account for only a small proportion of the estimated heritability [ 1, 11, 12].
Although earlier analyses of GWAS data revealed that this approach can detect common variants with modest effects, however, only a small portion of these significant associations with common variants were subsequently found to be functional and these associations account for a small portion of the total heritability of genetic variations.
PAMPA and its variants, however, have so far only been tested in simulations, a common approach in wireless protocol research.
However, only variants in MAPT and SNCA have been consistently replicated.
The splice variants however, were detected in only one of the 22 normal breast tissues tested, that is, in a sample remote from a carcinoma.
Finally, we show that existing transthyretin stabilizers, including tafamidis, inhibit proteolysis-mediated transthyretin fibrillogenesis with different efficiency in different variants; however, inhibition is complete only when both binding sites are occupied.
At present, several putative pathogenic variants of the RP1L1 gene have been reported; however, only a variant, p.R45W, was shown to be in the multiple OMD reports [ 1– 6].
Numerous observations of unintended inaccuracies reported in previous published research work are used to illustrate the each argument; however, only few variants of benchmark test systems were sufficient to demonstrate and explain the existence of inaccuracies.
However, only 37 variants showed opposite genotypes in the risk and non-risk haplotypes, including 29 SNVs and eight indels unique to all 12 cases.
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