Sentence examples for preponderance of mutations from inspiring English sources

Exact(6)

Moreover, since the preponderance of mutations will be deleterious [8], this therapeutic strategy may diminish the vitality of the viral population.

P53 was most common and there was relative preponderance of mutations involving the PI3 kinase pathway: STK11, RICTOR, TSC2.

This conclusion is based on the preponderance of mutations that map to the previously identified TFIIF binding surface and the similar phenotypes of mutants shown to have altered interactions with TFIIF.

Thus, the preponderance of mutations on the G of GpA indicates that its complement on the repair template, the C of TpC, is targeted by the mutagenic process that is recruited during repair.

The higher prevalence of BRCA2 mutations among families with OC in our study may be due to the preponderance of mutations identified in the ovarian cancer cluster region, and lend support to the increased risk of OC suggested to be conferred by mutations within this region relative to other BRCA2 mutations [ 38, 39].

Downstream of Ras, the serine/threonine kinase B-raf has been reported to be mutated, among other carcinomas, in a substantial subset of primary melanomas with a preponderance of mutations within the kinase domain including the activating V599E and V599K transitions.

Similar(54)

This is reminiscent of difficulties encountered in cancer genome re-sequencing projects where the discovery of driver somatic mutations is often complicated by the preponderance of passenger mutations [ 12- 15].

It is possible that the preponderance of disease mutations in these portions of the tRNA arises because the mutations further destabilize the already weakly stable native state, shifting the equilibrium to the misfolded intermediate.

These models can break down if the population is far from a fitness optimum due to mutation selection balance, where the preponderance of deleterious mutations is balanced by the greater fixation probabilities of advantageous mutations (Hartl et al. 1985; Cherry 1998; Wylie and Shakhnovich 2011; Charlesworth 2013).

Number of patients in whom each mutation was found, should be indicated – this would give an idea about any preponderance of specific mutations in this population.

Mutations at R84 are highly associated with PPS, therefore some ascertainment bias should be taken into consideration regardingthe preponderance of R84 mutations in this data set.

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