Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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
_version_ 1783633661406478336
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
work_keys_str_mv AT bylstrayasmin familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT limwengkhong familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT kamsylvia familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT thamkoeiwan familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT wurryanne familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT teojingxian familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT davilasonia familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT kuanjynling familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT chansockhoai familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT bertinnicolas familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT yangchengxi familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT rozensteve familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT tehbintean familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT yeokhungkeong familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT cookstuartalexander familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT jamuarsaumyashekhar familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT ginsburggeoffreys familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT orlandoloria familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera
AT tanpatrick familyhistoryassessmentsignificantlyenhancesdeliveryofprecisionmedicineinthegenomicsera