Medically Actionable Secondary Findings from Whole-Exome Sequencing (WES) Data in a Sample of 3972 Individuals

The application of whole-exome sequencing (WES) for diagnostic purposes has the potential to unravel secondary findings unrelated with the primary reason of testing. Some of those might be of high clinical utility and comprise disease-causing variants in genes, related to life-threatening and clinically actionable diseases. Clarifying the allelic frequencies of such variants in specific populations is a crucial step for the large-scale deployment of genomic medicine. We analysed medically relevant variants in the 81 genes from the American College of Medical Genetics and Genomics (ACMG) v3.2 list of actionable loci, using WES data from a diagnostic laboratory cohort of 3972 persons, tentatively resampled to represent the Portuguese population geographic distribution. We identified medically actionable variants in 6.2% of our cohort, distributed across several disease domains: cardiovascular disorders (3.0%), cancer predisposition (2.0%), miscellaneous disorders (1.1%), and metabolic disorders (0.1%). Additionally, we estimated a frequency of heterozygotes for recessive disease alleles of 11.1%. Overall, our results suggest that medically actionable findings can be identified in approximately 6.2% of persons from our population. This is the first study estimating medically actionable findings in Portugal. These results provide valuable insight for patients, healthcare providers, and policymakers involved in advancing genomic medicine at the national and international level.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-04-09
DOI
https://doi.org/10.3390/ijms26083509
Citations
2
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
3.63

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article

Medically Actionable Secondary Findings from Whole-Exome Sequencing (WES) Data in a Sample of 3972 Individuals

Jorge Oliveira, Jorge Sequeiros, Mariana Ribeiro, Filipe da Costa Alves et al.
2 citations
International Journal of Molecular Sciences
Genomics and Rare Diseases
3.63
article

Medically Actionable Secondary Findings from Whole-Exome Sequencing (WES) Data in a Sample of 3972 Individuals

Jorge Oliveira, Jorge Sequeiros, Mariana Ribeiro, Filipe da Costa Alves, João Parente Freixo, Diana Antunes, Paulo Silva, Susana Valente, Mafalda Melo, Margarida Venâncio
article en
2 citations

Abstract

The application of whole-exome sequencing (WES) for diagnostic purposes has the potential to unravel secondary findings unrelated with the primary reason of testing. Some of those might be of high clinical utility and comprise disease-causing variants in genes, related to life-threatening and clinically actionable diseases. Clarifying the allelic frequencies of such variants in specific populations is a crucial step for the large-scale deployment of genomic medicine. We analysed medically relevant variants in the 81 genes from the American College of Medical Genetics and Genomics (ACMG) v3.2 list of actionable loci, using WES data from a diagnostic laboratory cohort of 3972 persons, tentatively resampled to represent the Portuguese population geographic distribution. We identified medically actionable variants in 6.2% of our cohort, distributed across several disease domains: cardiovascular disorders (3.0%), cancer predisposition (2.0%), miscellaneous disorders (1.1%), and metabolic disorders (0.1%). Additionally, we estimated a frequency of heterozygotes for recessive disease alleles of 11.1%. Overall, our results suggest that medically actionable findings can be identified in approximately 6.2% of persons from our population. This is the first study estimating medically actionable findings in Portugal. These results provide valuable insight for patients, healthcare providers, and policymakers involved in advancing genomic medicine at the national and international level.

International Journal of Molecular SciencesVol. 26(8)
Universidade do Porto (PT), Centro de Genética Clínica (PT), Hospital de Dona Estefânia (PT), i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT), Instituto de Biologia Molecular e Celular, Universidade Nova de Lisboa (PT)
International Business Machines Corporation
Partnerships for the goals
Openalex Percentile: Top 9%
Genomics and Rare Diseases
3.63
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