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Blood 6 O C T O B E R 2 0 1 1 I V O L U M E 1 1 8 , N U M B E R 1 4 3761
| Content Provider | Semantic Scholar |
|---|---|
| Author | Shpall, Elizabeth J. |
| Copyright Year | 2011 |
| Abstract | tions of the genome. As made clear in the study by Rowley and colleagues, these data will be invaluable for identifying new mechanistic targets that can be furthered studied in animal or in vitro models (see figure). For clinical studies, the use of genome-wide RNA-seq data will be more challenging. The number of data points generated per sample is enormous and the true importance of these findings in small clinical studies will likely draw comparisons in relevance to early SNP studies with copious false-positive data being generated. However, if used judiciously, these data may be linked to individual genomic data as well as used to identify novel transcripts associated with disease. Subsequent validation and testing using a targeted approach (ie, highthroughput quantitative RT-PCR) in a much larger sample set will reveal the true clinical relevance of these detailed transcript findings. Lastly, as with genome-wide association studies, RNA sequencing in a much larger population will need to be performed before we can establish what is a normal platelet transcript. Conflict-of-interest disclosure: The author declares no competing financial interests. ■ |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.bloodjournal.org/content/bloodjournal/118/14/3761.full.pdf?sso-checked=true |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
