| Autor: |
Saumya Shekhar Jamuar, Jyn Ling Kuan, Maggie Brett, Zenia Tiang, Wilson Lek Wen Tan, Jiin Ying Lim, Wendy Kein Meng Liew, Asif Javed, Woei Kang Liew, Hai Yang Law, Ee Shien Tan, Angeline Lai, Ivy Ng, Yik Ying Teo, Byrappa Venkatesh, Bruno Reversade, Ene Choo Tan, Roger Foo |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
EBioMedicine, Vol 5, Iss C, Pp 211-216 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3964 |
| DOI: |
10.1016/j.ebiom.2016.01.030 |
| Popis: |
Background: In Western cohorts, the prevalence of incidental findings (IFs) or incidentalome, referring to variants in genes that are unrelated to the patient's primary condition, is between 0.86% and 8.8%. However, data on prevalence and type of IFs in Asian population is lacking. Methods: In 2 cohorts of individuals with genomic sequencing performed in Singapore (total n = 377), we extracted and annotated variants in the 56 ACMG-recommended genes and filtered these variants based on the level of pathogenicity. We then analyzed the precise distribution of IFs, class of genes, related medical conditions, and potential clinical impact. Results: We found a total of 41,607 variants in the 56 genes in our cohort of 377 individuals. After filtering for rare and coding variants, we identified 14 potential variants. After reviewing primary literature, only 4 out of the 14 variants were classified to be pathogenic, while an additional two variants were classified as likely pathogenic. Overall, the cumulative prevalence of IFs (pathogenic and likely pathogenic variants) in our cohort was 1.6%. Conclusion: The cumulative prevalence of IFs through genomic sequencing is low and the incidentalome may not be a significant barrier to implementation of genomics for personalized medicine. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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