Sentence examples for variants the probability from inspiring English sources

For these variants, the probability of a specific genotype will be approximately constant in time and knowledge of an individual's genotype will not be strongly predictive of that individual's birth date.

If we think of patterns being derived from a match in the text through edit operations of technical nature (sequencing errors), or biological nature (genetic variants), the probability of hitting all q-grams and thus rendering q-gram filtering useless increases with the number of edits (Sutinen and Szpankowski, 1998).

Finally, the PAb could preclude the development of tumour cell "escape variants", because the probability that tumour cells will simultaneously lose all target epitopes is extremely small.

So, for example, if three of four models have one variant and the fourth model has a second variant, the probability of acquiring the common variant is greater than three quarters.

An alternative is to use variants where the probability of occurrence in a specific sample can be ascertained, thus allowing the probability of a variant present at a specific position to assume values other than 0 or 1.

In particular, the algorithms for predicting the functional effect of missense variants estimate the probability that a mutation is disease-associated or functionally deleterious.

Although earlier probabilities are partly subjective, influenced by previous findings and experimental evidence with regard to the known impact of variants, the earlier probability for variants in candidate genes is unlikely to be better than 1 in 1000 (or 0.001) (Thomas and Clayton, 2004).

Then, if we write pi for the MAF of variant i, the probability for a case to be homozygous at this variant is pi, and the probability to be homozygous for one or more variants is eHOM = 1 − Π (1 − pi).

The fourth and fifth columns show the residue distance "d" of the positively selected site from its nearest genetic variant, and the probability of being located "d" residues from any disease implicated site by random chance alone.

Variant function effects, denoted 'eta,' have a bimodal, two-component mixture model distribution with one component describing variation among neutral and the other describing variation among pathogenic variants; we interpret the probability that a variant's eta arises from the pathogenic component as the probability of pathogenicity and its eta as a measure of function.

A final SVM score is computed for each variant, which estimates the probability of the variant being "real" (see Methods).