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1.
Arq Bras Cardiol ; 121(9): e20240252, 2024 Sep.
Article in Portuguese, English | MEDLINE | ID: mdl-39352188

ABSTRACT

Despite significant advances in the management of coronary artery disease (CAD) and reductions in annual mortality rates in recent decades, this disease remains the leading cause of death worldwide. Consequently, there is an ongoing need for efforts to address this situation. Current clinical algorithms to identify at-risk patients are particularly inaccurate in moderate-risk individuals. For this reason, the need for ancillary tests has been suggested, including predictive genetic screening. As genetic studies rapidly expand and genomic data becomes more accessible, numerous genetic risk scores have been proposed to identify and evaluate an individual's susceptibility to developing diseases, including CAD. The field of genetics has indeed made substantial contributions to risk prediction, particularly in cases where children have parents with premature CAD, resulting in an increased risk of up to 75%. The polygenic risk scores (PRSs) have emerged as a potentially valuable tool for understanding and stratifying an individual's genetic risk. The PRS is calculated as a weighted sum of single-nucleotide variants present throughout the human genome, identifiable through genome-wide association studies, and associated with various cardiometabolic diseases. The use of PRSs holds promise, as it enables the development of personalized strategies for preventing or diagnosing specific pathologies early. Furthermore, it can complement existing clinical scores, increasing the accuracy of individual risk prediction. Consequently, the application of PRSs has the potential to impact the costs and adverse outcomes associated with CAD positively. This narrative review provides an overview of the role of PRSs in the context of CAD.


Apesar dos avanços significativos no tratamento da doença arterial coronariana (DAC) e das reduções nas taxas de mortalidade anuais nas últimas décadas, a DAC continua sendo a principal causa de morte no mundo. Consequentemente, há uma necessidade contínua de esforços para abordar essa situação. Os algoritmos clínicos atuais para identificar pacientes em risco são particularmente imprecisos para indivíduos de risco moderado. Por esse motivo, foi sugerido que são necessários testes auxiliares, incluindo triagem genética preditiva. À medida que os estudos genéticos se expandem rapidamente e os dados genômicos se tornam mais acessíveis, diversos escores de risco genético têm sido propostos para identificar e avaliar a suscetibilidade de um indivíduo ao desenvolvimento de doenças, incluindo a DAC. De fato, o campo da genética tem contribuído substancialmente para a previsão de risco, particularmente nos casos em que as crianças têm genitores com DAC prematura, resultando em um risco aumentado de até 75%. Os escores de risco poligênico (PRSs, do inglês polygenic risk scores) surgiram como uma ferramenta potencialmente valiosa para compreender e estratificar o risco genético de um indivíduo. O PRS é calculado como uma soma ponderada de variantes de nucleotídeo único presentes em todo o genoma humano, identificáveis por meio de estudos de associação genômica ampla, e associadas a várias doenças cardiometabólicas. O uso dos PRSs é promissor, pois permite o desenvolvimento de estratégias personalizadas para prevenir ou diagnosticar patologias específicas de forma precoce. Ademais, seu uso é capaz de complementar os escores clínicos existentes, aumentando a precisão da previsão de risco individual. Consequentemente, a aplicação dos PRSs tem o potencial de impactar positivamente os custos e os desfechos adversos associados à DAC. A presente revisão narrativa oferece uma visão ampla do papel dos PRSs no contexto da DAC.


Subject(s)
Coronary Artery Disease , Genetic Predisposition to Disease , Genome-Wide Association Study , Multifactorial Inheritance , Humans , Coronary Artery Disease/genetics , Risk Assessment/methods , Genetic Predisposition to Disease/genetics , Multifactorial Inheritance/genetics , Risk Factors , Genetic Testing/methods , Polymorphism, Single Nucleotide/genetics , Genetic Risk Score
2.
J Mol Diagn ; 26(9): 825-831, 2024 Sep.
Article in English | MEDLINE | ID: mdl-38972593

ABSTRACT

Polygenic risk scores (PRSs) for breast cancer have a clear clinical utility in risk prediction. PRS transferability across populations and ancestry groups is hampered by population-specific factors, ultimately leading to differences in variant effects, such as linkage disequilibrium and differences in variant frequency (allele frequency differences). Thus, locally sourced population-based phenotypic and genomic data sets are essential to assess the validity of PRSs derived from signals detected across populations. This study assesses the transferability of a breast cancer PRS composed of 313 risk variants (313-PRS) in a Brazilian trihybrid admixed ancestries (European, African, and Native American) whole-genome sequenced cohort, the Rare Genomes Project. 313-PRS was computed in the Rare Genomes Project (n = 853) using the UK Biobank (UKBB; n = 264,307) as reference. The Brazilian cohorts have a high European ancestry (EA) component, with allele frequency differences and to a lesser extent linkage disequilibrium patterns similar to those found in EA populations. The 313-PRS distribution was found to be inflated when compared with that of the UKBB, leading to potential overestimation of PRS-based risk if EA is taken as a standard. However, case controls lead to equivalent predictive power when compared with UKBB-EA samples with area under the receiver operating characteristic curve values of 0.66 to 0.62 compared with 0.63 for UKBB.


Subject(s)
Breast Neoplasms , Genetic Predisposition to Disease , Multifactorial Inheritance , Humans , Breast Neoplasms/genetics , Female , Brazil/epidemiology , Multifactorial Inheritance/genetics , Risk Assessment/methods , Cohort Studies , Gene Frequency , Linkage Disequilibrium , Genome-Wide Association Study/methods , Polymorphism, Single Nucleotide , Risk Factors , Case-Control Studies , Genetic Risk Score
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