Family history assessment significantly enhances delivery of precision medicine in the genomics era

  • Yasmin Bylstra
  • , Weng Khong Lim
  • , Sylvia Kam
  • , Koei Wan Tham
  • , R. Ryanne Wu
  • , Jing Xian Teo
  • , Sonia Davila
  • , Jyn Ling Kuan
  • , Sock Hoai Chan
  • , Nicolas Bertin
  • , Cheng Xi Yang
  • , Steve Rozen
  • , Bin Tean Teh
  • , Khung Keong Yeo
  • , Stuart Alexander Cook
  • , Saumya Shekhar Jamuar
  • , Geoffrey S. Ginsburg
  • , Lori A. Orlando*
  • , Patrick Tan*
  • *Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

31 Scopus citations

Abstract

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.

Original languageEnglish
Article number3
JournalGenome Medicine
Volume13
Issue number1
DOIs
StatePublished - 12 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

Keywords

  • Cancer
  • Clinically actionable variants
  • Family history
  • Population genomics screening

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