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Incidentalome from Genomic Sequencing: A Barrier to Personalized Medicine?

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...

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Autores principales: Jamuar, Saumya Shekhar, Kuan, Jyn Ling, Brett, Maggie, Tiang, Zenia, Tan, Wilson Lek Wen, Lim, Jiin Ying, Liew, Wendy Kein Meng, Javed, Asif, Liew, Woei Kang, Law, Hai Yang, Tan, Ee Shien, Lai, Angeline, Ng, Ivy, Teo, Yik Ying, Venkatesh, Byrappa, Reversade, Bruno, Tan, Ene Choo, Foo, Roger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816806/
https://www.ncbi.nlm.nih.gov/pubmed/27077130
http://dx.doi.org/10.1016/j.ebiom.2016.01.030
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author Jamuar, Saumya Shekhar
Kuan, Jyn Ling
Brett, Maggie
Tiang, Zenia
Tan, Wilson Lek Wen
Lim, Jiin Ying
Liew, Wendy Kein Meng
Javed, Asif
Liew, Woei Kang
Law, Hai Yang
Tan, Ee Shien
Lai, Angeline
Ng, Ivy
Teo, Yik Ying
Venkatesh, Byrappa
Reversade, Bruno
Tan, Ene Choo
Foo, Roger
author_facet Jamuar, Saumya Shekhar
Kuan, Jyn Ling
Brett, Maggie
Tiang, Zenia
Tan, Wilson Lek Wen
Lim, Jiin Ying
Liew, Wendy Kein Meng
Javed, Asif
Liew, Woei Kang
Law, Hai Yang
Tan, Ee Shien
Lai, Angeline
Ng, Ivy
Teo, Yik Ying
Venkatesh, Byrappa
Reversade, Bruno
Tan, Ene Choo
Foo, Roger
author_sort Jamuar, Saumya Shekhar
collection PubMed
description 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.
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spelling pubmed-48168062016-04-13 Incidentalome from Genomic Sequencing: A Barrier to Personalized Medicine? Jamuar, Saumya Shekhar Kuan, Jyn Ling Brett, Maggie Tiang, Zenia Tan, Wilson Lek Wen Lim, Jiin Ying Liew, Wendy Kein Meng Javed, Asif Liew, Woei Kang Law, Hai Yang Tan, Ee Shien Lai, Angeline Ng, Ivy Teo, Yik Ying Venkatesh, Byrappa Reversade, Bruno Tan, Ene Choo Foo, Roger EBioMedicine Research Paper 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. Elsevier 2016-02-04 /pmc/articles/PMC4816806/ /pubmed/27077130 http://dx.doi.org/10.1016/j.ebiom.2016.01.030 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Jamuar, Saumya Shekhar
Kuan, Jyn Ling
Brett, Maggie
Tiang, Zenia
Tan, Wilson Lek Wen
Lim, Jiin Ying
Liew, Wendy Kein Meng
Javed, Asif
Liew, Woei Kang
Law, Hai Yang
Tan, Ee Shien
Lai, Angeline
Ng, Ivy
Teo, Yik Ying
Venkatesh, Byrappa
Reversade, Bruno
Tan, Ene Choo
Foo, Roger
Incidentalome from Genomic Sequencing: A Barrier to Personalized Medicine?
title Incidentalome from Genomic Sequencing: A Barrier to Personalized Medicine?
title_full Incidentalome from Genomic Sequencing: A Barrier to Personalized Medicine?
title_fullStr Incidentalome from Genomic Sequencing: A Barrier to Personalized Medicine?
title_full_unstemmed Incidentalome from Genomic Sequencing: A Barrier to Personalized Medicine?
title_short Incidentalome from Genomic Sequencing: A Barrier to Personalized Medicine?
title_sort incidentalome from genomic sequencing: a barrier to personalized medicine?
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816806/
https://www.ncbi.nlm.nih.gov/pubmed/27077130
http://dx.doi.org/10.1016/j.ebiom.2016.01.030
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