MG-130 Utilising whole exome sequencing to identify causative variants in genetically heterogeneous disorders. (4th December 2015)
- Record Type:
- Journal Article
- Title:
- MG-130 Utilising whole exome sequencing to identify causative variants in genetically heterogeneous disorders. (4th December 2015)
- Main Title:
- MG-130 Utilising whole exome sequencing to identify causative variants in genetically heterogeneous disorders
- Authors:
- Stavropoulos, Dimitri J
Marshall, Christian R
Basran, Raveen K
Lau, Lynette
Eliou, Marianne
Orr, Jennifer
Liston, Eriskay J
Bowdin, Sarah
Meyn, MStephen
Carter, Melissa
Carew, Chris
Cohn, Ronald D
Shlien, Adam
Ray, Peter N - Abstract:
- Abstract : Background: The rapid pace of innovation within the era of genomic sequencing has provided unprecedented insights into the genetic basis of human disease. Clinical whole exome sequencing provides a means for clinicians and clinical labs to take advantage of this ongoing expansion of knowledge, to benefit patient care and offer individualised medicine. Methods/results: We have developed a workflow and customised informatics pipeline suitable for processing large numbers of clinical exomes to achieve a diagnosis for genetically heterogeneous disorders. In order to guide genetic variant interpretation, we have implemented the Phenotips software tool within the hospital to collect detailed phenotype information from physicians, through a web-based interface. We describe our exome variant interpretation algorithm that integrates multiple control and clinical databases, as well as our on-site patient database to achieve a diagnosis. In order to maximise diagnostic yield, our analysis includes variants affecting all genes known to cause genetic disorders, which are prioritised according to phenotypic information provided by the referring physician. In addition, we provide patients the option of reporting secondary findings as described in the ACMG guidelines. Conclusions: This comprehensive approach provides an effective strategy for identifying causative variants in patients with genetically and phenotypically heterogeneous disorders, who would otherwise remainAbstract : Background: The rapid pace of innovation within the era of genomic sequencing has provided unprecedented insights into the genetic basis of human disease. Clinical whole exome sequencing provides a means for clinicians and clinical labs to take advantage of this ongoing expansion of knowledge, to benefit patient care and offer individualised medicine. Methods/results: We have developed a workflow and customised informatics pipeline suitable for processing large numbers of clinical exomes to achieve a diagnosis for genetically heterogeneous disorders. In order to guide genetic variant interpretation, we have implemented the Phenotips software tool within the hospital to collect detailed phenotype information from physicians, through a web-based interface. We describe our exome variant interpretation algorithm that integrates multiple control and clinical databases, as well as our on-site patient database to achieve a diagnosis. In order to maximise diagnostic yield, our analysis includes variants affecting all genes known to cause genetic disorders, which are prioritised according to phenotypic information provided by the referring physician. In addition, we provide patients the option of reporting secondary findings as described in the ACMG guidelines. Conclusions: This comprehensive approach provides an effective strategy for identifying causative variants in patients with genetically and phenotypically heterogeneous disorders, who would otherwise remain undiagnosed. … (more)
- Is Part Of:
- Journal of medical genetics. Volume 52(2015)Supplement 2
- Journal:
- Journal of medical genetics
- Issue:
- Volume 52(2015)Supplement 2
- Issue Display:
- Volume 52, Issue 2 (2015)
- Year:
- 2015
- Volume:
- 52
- Issue:
- 2
- Issue Sort Value:
- 2015-0052-0002-0000
- Page Start:
- A11
- Page End:
- A11
- Publication Date:
- 2015-12-04
- Subjects:
- Medical genetics -- Periodicals
616.042 - Journal URLs:
- http://jmg.bmjjournals.com/ ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/jmedgenet-2015-103578.29 ↗
- Languages:
- English
- ISSNs:
- 1468-6244
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18898.xml