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Family history assessment significantly enhances delivery of precision medicine in the genomics era
BACKGROUND: Family history has traditionally been an essential part of clinical care to assess health risks. However, declining sequencing costs have precipitated a shift towards genomics-first approaches in population screening programs rendering the value of family history unknown. We evaluated th...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791763/ https://www.ncbi.nlm.nih.gov/pubmed/33413596 http://dx.doi.org/10.1186/s13073-020-00819-1 |
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author | Bylstra, Yasmin Lim, Weng Khong Kam, Sylvia Tham, Koei Wan Wu, R. Ryanne Teo, Jing Xian Davila, Sonia Kuan, Jyn Ling Chan, Sock Hoai Bertin, Nicolas Yang, Cheng Xi Rozen, Steve Teh, Bin Tean Yeo, Khung Keong Cook, Stuart Alexander Jamuar, Saumya Shekhar Ginsburg, Geoffrey S. Orlando, Lori A. Tan, Patrick |
author_facet | Bylstra, Yasmin Lim, Weng Khong Kam, Sylvia Tham, Koei Wan Wu, R. Ryanne Teo, Jing Xian Davila, Sonia Kuan, Jyn Ling Chan, Sock Hoai Bertin, Nicolas Yang, Cheng Xi Rozen, Steve Teh, Bin Tean Yeo, Khung Keong Cook, Stuart Alexander Jamuar, Saumya Shekhar Ginsburg, Geoffrey S. Orlando, Lori A. Tan, Patrick |
author_sort | Bylstra, Yasmin |
collection | PubMed |
description | BACKGROUND: Family history has traditionally been an essential part of clinical care to assess health risks. However, declining sequencing costs have precipitated a shift towards genomics-first approaches in population screening programs rendering the value of family history unknown. We evaluated the utility of incorporating family history information for genomic sequencing selection. METHODS: To ascertain the relationship between family histories on such population-level initiatives, we analysed whole genome sequences of 1750 research participants with no known pre-existing conditions, of which half received comprehensive family history assessment of up to four generations, focusing on 95 cancer genes. RESULTS: Amongst the 1750 participants, 866 (49.5%) had high-quality standardised family history available. Within this group, 73 (8.4%) participants had an increased family history risk of cancer (increased FH risk cohort) and 1 in 7 participants (n = 10/73) carried a clinically actionable variant inferring a sixfold increase compared with 1 in 47 participants (n = 17/793) assessed at average family history cancer risk (average FH risk cohort) (p = 0.00001) and a sevenfold increase compared to 1 in 52 participants (n = 17/884) where family history was not available (FH not available cohort) (p = 0.00001). The enrichment was further pronounced (up to 18-fold) when assessing only the 25 cancer genes in the American College of Medical Genetics (ACMG) Secondary Findings (SF) genes. Furthermore, 63 (7.3%) participants had an increased family history cancer risk in the absence of an apparent clinically actionable variant. CONCLUSIONS: These findings demonstrate that the collection and analysis of comprehensive family history and genomic data are complementary and in combination can prioritise individuals for genomic analysis. Thus, family history remains a critical component of health risk assessment, providing important actionable data when implementing genomics screening programs. TRIAL REGISTRATION: ClinicalTrials.gov NCT02791152. Retrospectively registered on May 31, 2016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-020-00819-1. |
format | Online Article Text |
id | pubmed-7791763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77917632021-01-11 Family history assessment significantly enhances delivery of precision medicine in the genomics era Bylstra, Yasmin Lim, Weng Khong Kam, Sylvia Tham, Koei Wan Wu, R. Ryanne Teo, Jing Xian Davila, Sonia Kuan, Jyn Ling Chan, Sock Hoai Bertin, Nicolas Yang, Cheng Xi Rozen, Steve Teh, Bin Tean Yeo, Khung Keong Cook, Stuart Alexander Jamuar, Saumya Shekhar Ginsburg, Geoffrey S. Orlando, Lori A. Tan, Patrick Genome Med Research BACKGROUND: Family history has traditionally been an essential part of clinical care to assess health risks. However, declining sequencing costs have precipitated a shift towards genomics-first approaches in population screening programs rendering the value of family history unknown. We evaluated the utility of incorporating family history information for genomic sequencing selection. METHODS: To ascertain the relationship between family histories on such population-level initiatives, we analysed whole genome sequences of 1750 research participants with no known pre-existing conditions, of which half received comprehensive family history assessment of up to four generations, focusing on 95 cancer genes. RESULTS: Amongst the 1750 participants, 866 (49.5%) had high-quality standardised family history available. Within this group, 73 (8.4%) participants had an increased family history risk of cancer (increased FH risk cohort) and 1 in 7 participants (n = 10/73) carried a clinically actionable variant inferring a sixfold increase compared with 1 in 47 participants (n = 17/793) assessed at average family history cancer risk (average FH risk cohort) (p = 0.00001) and a sevenfold increase compared to 1 in 52 participants (n = 17/884) where family history was not available (FH not available cohort) (p = 0.00001). The enrichment was further pronounced (up to 18-fold) when assessing only the 25 cancer genes in the American College of Medical Genetics (ACMG) Secondary Findings (SF) genes. Furthermore, 63 (7.3%) participants had an increased family history cancer risk in the absence of an apparent clinically actionable variant. CONCLUSIONS: These findings demonstrate that the collection and analysis of comprehensive family history and genomic data are complementary and in combination can prioritise individuals for genomic analysis. Thus, family history remains a critical component of health risk assessment, providing important actionable data when implementing genomics screening programs. TRIAL REGISTRATION: ClinicalTrials.gov NCT02791152. Retrospectively registered on May 31, 2016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-020-00819-1. BioMed Central 2021-01-07 /pmc/articles/PMC7791763/ /pubmed/33413596 http://dx.doi.org/10.1186/s13073-020-00819-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Bylstra, Yasmin Lim, Weng Khong Kam, Sylvia Tham, Koei Wan Wu, R. Ryanne Teo, Jing Xian Davila, Sonia Kuan, Jyn Ling Chan, Sock Hoai Bertin, Nicolas Yang, Cheng Xi Rozen, Steve Teh, Bin Tean Yeo, Khung Keong Cook, Stuart Alexander Jamuar, Saumya Shekhar Ginsburg, Geoffrey S. Orlando, Lori A. Tan, Patrick Family history assessment significantly enhances delivery of precision medicine in the genomics era |
title | Family history assessment significantly enhances delivery of precision medicine in the genomics era |
title_full | Family history assessment significantly enhances delivery of precision medicine in the genomics era |
title_fullStr | Family history assessment significantly enhances delivery of precision medicine in the genomics era |
title_full_unstemmed | Family history assessment significantly enhances delivery of precision medicine in the genomics era |
title_short | Family history assessment significantly enhances delivery of precision medicine in the genomics era |
title_sort | family history assessment significantly enhances delivery of precision medicine in the genomics era |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791763/ https://www.ncbi.nlm.nih.gov/pubmed/33413596 http://dx.doi.org/10.1186/s13073-020-00819-1 |
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