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The subsequent genotyping of Friesian horses for the mutation will identify carriers in unaffected horses.
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For lung cancer patients, detection of activating mutations in EGFR will identify patients most appropriate for first-line treatment with EGFR TKI therapy (Kobayashi et al, 2005; Lynch et al, 2004; Paez et al, 2004; Pao et al, 2004; Zhu et al, 2008).
Although NGS will not identify biomarkers and drug targets directly, it will identify mutations that will guide the development of biomarkers and drug targets.
TILLING (Targeting Induced Local Lesions in Genomes) is a relatively novel reverse genetics technique based on the use of a mismatch-specific enzyme that will identify mutations in any target gene through heteroduplex analysis [ 22].
Genetic testing, through DNA sequencing of the 13 Gs-alpha coding exons and intron exon boundaries, will identify a mutation in most patients with PHP1a, PPHP, and POH, and rarely in PHP1c.
We will identify early/late reverting mutations, linkage between mutations, and the impact of the reversion on viral RC, in an attempt to identify inter-patient differences in the rate of reversion to wild-type viral population.
Potentially suitable participants, who have previously undergone genetic testing and have been identified as carriers of either the BRCA1 or BRCA2 mutation, will be identified at Breast Cancer Family Risk clinics and Cancer Genetics clinics, by medical teams and specialised breast cancer and medical nurses.
This approach will identify the majority of mutations in males; however, mutations impacting upstream regulatory elements or untranslated areas may be missed.
Eligibility criteria for BRCA1 and BRCA2 mutation testing based on family history and age of onset will identify only a small proportion of mutation carriers.
Nonetheless, we showed in [ 11] that under some assumptions on the distribution of mutations in patients, a greedy algorithm will identify the maximum weight set.
The whole-genome analyses in respective patients will identify many less frequent driver mutations, which will help identify potential drug targets in each patient, leading to more personalized cancer therapy.
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