Whole exome sequencing reveals genetic predisposition in a large family with retinitis pigmentosa.
Clicks: 272
ID: 18206
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
64.6
/100
272 views
223 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #79 of 269 articles by views in BioMed research international
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 269 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Next-generation sequencing has become more widely used to reveal genetic defect in monogenic disorders. Retinitis pigmentosa (RP), the leading cause of hereditary blindness worldwide, has been attributed to more than 67 disease-causing genes. Due to the extreme genetic heterogeneity, using general molecular screening alone is inadequate for identifying genetic predispositions in susceptible individuals. In order to identify underlying mutation rapidly, we utilized next-generation sequencing in a four-generation Chinese family with RP. Two affected patients and an unaffected sibling were subjected to whole exome sequencing. Through bioinformatics analysis and direct sequencing confirmation, we identified p.R135W transition in the rhodopsin gene. The mutation was subsequently confirmed to cosegregate with the disease in the family. In this study, our results suggest that whole exome sequencing is a robust method in diagnosing familial hereditary disease.
| Reference Key |
wu2014wholebiomed
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Wu, Juan;Chen, Lijia;Tam, Oi Sin;Huang, Xiu-Feng;Pang, Chi-Pui;Jin, Zi-Bing; |
| Journal | BioMed research international |
| Year | 2014 |
| DOI |
10.1155/2014/302487
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.