Sentence examples for check for mutations from inspiring English sources

Myriad, which licensed the BRCA genes from the University of Utah and others who discovered them, runs a testing service to check for mutations that convey a risk for breast cancer.

After examining every mitochondrial gene that codes for a protein, to no avail, Wallace's team decided to check for mutations in a short DNA region that regulates expression of mitochondrial genes and helps copy mitochondrial DNA when cells divide.

All sequencing reactions were performed in both forward and reverse directions and were analysed using the Basic Local Alignment Search Tool (BLAST); all the electropherograms were reanalysed by visual inspection to check for mutations.

Although the frequency of each individual marker may still be low, tests such as the SNaPshot or sequenome assays used by the Lung Cancer Mutation Consortium can check for mutations in multiple different genes at the same time (Kris et al, 2011).

The need to check for mutations in the relevant cell line before designing a laborious knock down, knockout or PCR primer solely based on the C. griseus genome sequence is highlighted by the 9357 SNPs, which were found in the CHO DXB11 genome within the coding regions of 3458 genes.

Check for mutation at the microsatellite.

The products were sequenced and checked for mutations by comparison with reference databases (NM_000222 for c-kit, NM_006206 for PDGF-R α, NM_002609 for PDGF-R β).

In other words, the more individuals who have been identified with a disorder and checked for mutations in a gene, the more disease-causing mutations are likely to have been characterized.

Mutations in this gene hinder its ability to properly check for DNA mutations through messenger RNA (mRNA) involvement [40].

To check for adaptive mutations obtained during cell culture, we used 454 deep-sequencing technology (Roche, Indianapolis, IN, USA) to analyze the full-genome sequence as described elsewhere (3 ).

Next, for each allele we check for null mutations by drawing a random number from the Poisson distribution where the expected number of events is the null mutation rate μ multiplied by the total number of individuals with the given allele.