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Background: Malaria is one of the biggest impediments to global progress. In Peru, it is still a major public health problem. Measures of health and economic burden due to malaria are relevant considerations for the assessment of current policies. Methods: We used estimates from the Global Burden of Diseases Study 2019 for malaria in Peru, grouped by gender and age, from 1990 to 2019. Results are presented as absolute numbers and age-standardized rates with 95% uncertainty intervals (UI). We collected economic data from the World Bank and The National Institute of Statistics and Informatics of Peru and Loreto to calculate the economic burden of productivity loss (EBPL) using the human capital approach. Economic values were presented in constant dollars, soles, and percentages. Findings: Rates of deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs), as well as the EBPL, were drastically reduced from 1990 to 2019. DALYs had a greater percentage of YLDs in 2019 than in 1990. DALYs rates showed no preference between sexes, but the "< 1 year" age group had the highest DALYs values over the study period. We found that the EBPL due to malaria for Loreto was considerably higher than Peru's in terms of GDP percentage. Interpretation: Our study shows that the fight against malaria in Peru reduced remarkably the impact of the disease since 1990; however, during the last decade the estimates were stable or even increased. Our results help to measure the malaria impact on the health status of the Peruvian population as well as the economic pressure that it exerts, constituting remarkable tools for policymaking aimed at reducing the burden of this disease. Strengthening the malaria elimination program is important to achieve the elimination of the disease in the coming years. Funding: This study was supported by the Universidad Nacional Toribio Rodríguez de Mendoza and FONDECYT: Contrato Nº 09-2019-FONDECYT-BMINC.INV and FONDECYT-BM, Perú (Program INCORPORACIÓN DE INVESTIGADORES E038-2019-01, Registry Number: 64007).
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INTRODUCTION: Cancer is the second leading cause of death worldwide, with 70% of cancer deaths occurring in low- or middle- income countries. To mitigate the mortality of this disease, it is recommended the evaluation of multiple high-penetrance genes. METHODS: We used a multi-gene panel testing to identify germline variants in a unique case of a breast cancer patient with a family history of five different neoplasm types. The patient, at the age of 50 years, was diagnosed with a high-grade cribriform ductal carcinoma in situ in her left breast. RESULTS: We identified two heterozygous mutations, one classified as pathogenic/likely pathogenic in RAD50 and the other classified as a variant of uncertain significance (VUS) in ATM. CONCLUSION: In conclusion, the use of the multi-gene panel leads to the identification of a double heterozygous mutation in RAD50 and ATM in a breast cancer patient from a Peruvian family with several cancer types. This data helps our physician team and the patient to choose a treatment following the post-test genetic counseling.
Assuntos
Neoplasias da Mama , Hidrolases Anidrido Ácido/genética , Proteínas Mutadas de Ataxia Telangiectasia/genética , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/genética , Proteínas de Ligação a DNA/genética , Feminino , Aconselhamento Genético , Humanos , Pessoa de Meia-Idade , Mutação , PeruRESUMO
La actual pandemia de COVID-19 se ha convertido en un grave problema de salud pública mundial, contándose casi un millón y medio de casos y decenas de miles de muertes a la fecha. La genética por su parte está teniendo un papel protagónico en la identificación, manejo y tratamiento de enfermedades. En el presente artículo se detalla sobre la importancia de la genética como ciencia para afrontar la amenaza global de la COVID-19, desde diferentes enfoques. Se resaltan los aportes que ha tenido y seguirá teniendo la genética en la identificación del nuevo virus SARS- CoV-2, en el desarrollo de nuevas técnicas diagnósticas, en la prevención de contagios y del desarrollo de cuadros graves, así como en el diseño de vacunas y en la propuesta y evaluación de tratamientos para la COVID-19.
The current COVID-19 pandemic has become a major global public health problem with almost one and a half million cases and tens of thousands of deaths until now. Genetics is playing a leading role in the identification, management and treatment of diseases. This article details the importance of genetics as a science to face the global threat of COVID-19, from different approaches. The contributions that genetics have had and will continue to have in the identification of the new SARS-CoV-2 virus, in the development of new diagnostic techniques, in the prevention of infections and development of severe symptoms, as well as in the design of vaccines and in the proposal and evaluation of treatments for COVID-19.
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Objetivo: Analizar la asociación de los polimorfismos de un solo nucleótido (SNP) rs941798 y rs914458 del gen PTPN1 con la diabetes tipo 2 en familias peruanas de Lima. Materiales y métodos: Veintitrés tríos familiares fueron captados en el Hospital Nacional Arzobispo Loayza. Se extrajeron muestras de sangre periférica para obtener el ADN y luego las frecuencias alélicas y genotípicas de los SNP. La genotipificación de los SNP se realizó mediante secuenciación. El análisis de asociación basado en familias entre los SNP y la diabetes tipo 2 se realizó con el programa FBAT. Resultados: Se observaron los 3 genotipos posibles para cada SNP, rs941798 (A>G) y rs914458 (G>C). Las pruebas de asociación basada en familias a nivel alélico mostraron al alelo A del SNP rs941798 asociado a la diabetes tipo 2 (p = 0.023) bajo uno de los modelos evaluados; no obstante, tras la corrección de Bonferroni para comparaciones múltiples, esta asociación se perdió. No se evidenció asociación entre los SNP y la enfermedad en ningún nivel (alélico, genotípico o haplotípico). Conclusiones: No se encontraron evidencias de asociación significativa entre los SNP rs941798 y rs914458 del gen PTPN1 con la DT2 en familias peruanas de Lima, en ninguno de los niveles estudiados (alélico, genotípico y haplotípico).
Objective: To analyze the association that PTPN1 gene single nucleotide polymorphisms (SNPs) rs941798 and rs914458 have with type 2 diabetes in Peruvian families from Lima. Materials and methods: Twenty-three (23) families consisting of three members each were recruited at the Hospital Nacional Arzobispo Loayza. Peripheral blood samples were collected to obtain the DNA, and then the allele and genotype frequencies of the SNPs. SNP genotyping was performed using the sequencing method. The family-based analysis of the association between SNPs and type 2 diabetes was conducted using the family-based association test (FBAT) program. Results: Three (3) possible genotypes were observed for each SNP, i.e. rs941798 (A>G) and rs914458 (G>C). In one of the assessed models, the family-based association tests showed at the allele level that allele A of SNP rs941798 is associated with type 2 diabetes (p = 0.023). However, after using the Bonferroni correction for multiple comparisons, this association was lost. No association was demonstrated between the SNPs and the disease at any level (allele, genotype or haplotype). Conclusions: No evidence of significant association was found between PTPN1 gene SNPs rs941798 and rs914458 and type 2 diabetes at the studied levels (allele, genotype or haplotype) in Peruvian families from Lima.