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MDA works best for mutation detection but is not sufficient for copy number analysis due to moderate amplification bias and non-uniform genome coverage.
NGS technologies offer a faster, less expensive approach, not only for mutation detection but also for transcriptome analysis or epigenetics.
Sanger sequencing is widely used for mutation detection but can be technically challenging, resulting in longer turn-around-time, with limited sensitivity for low levels of mutations.
This approach improves mutation detection, but tumors with a diffuse growth pattern or dense inflammatory infiltrate may still have a significant proportion of "contaminating" non-tumor DNA after tumor dissection.
Currently, direct sequencing is the standard method for EGFR mutation detection, but its limited sensitivity, high cost and long turnaround time have prompted the development of alternative methods for routine clinical testing which have greater diagnostic practicality for somatic mutation detection.
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Peptide nucleic acid (PNA -mediated PNA -mediatedor PCRosequenclampinghors are more sensitive than direct sequencing (DS) for EGFR mutation detection [ 20], but we have found that all of these methods are apyrosequencingn sufficient tumethodsls are properly moreo-disensitivend analyzed withan a meticulously controlledirectaround time at a sequencingtitute (SNUBH) [ 21].
Within the whole cohort of analyzed embryos, six had no detectable mutation (detection threshold: 2%).
It is hard for imaging examination to distinguish the real invasion or tumor just leaning against adjacent organs or tissues; for effective neoadjuvant therapy, aspiration biopsy is necessary for not only diagnosis but also gene mutation detection for KIT and PDGFR, but conducting biopsies in such highly malignant GIST may increase the risks of tumor rupture or implantation metastasis.
In this implementation, mutations are assumed to be clearly pathogenic (i.e. mutation testing is 100% specific) but mutation detection sensitivity can be varied.
This mobile phone-assisted decoding platform provides an effective but economic mutation detection alternative for the future quicker and sensitive detection of virtually any mutation-related diseases in developing and underdeveloped countries.
This is because DNA amplification is required for mutation detection and in a low, but significant, proportion of single cells, one of the parental alleles randomly fails to amplify.
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