Análisis computacional de riesgo poligénico: aplicación en la enfermedad de las arterias coronarias (EAC)
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2023-06-06
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Jaén: Universidad de Jaén
Resumen
Actualmente se están llevando a cabo numerosos estudios encaminados en la mejora de la salud y bienestar. Uno de ellos, es la posibilidad de predecir el estado de una enfermedad, o cómo de susceptible es el individuo de padecerla, por medio del cálculo de riesgo poligénico. Hay diferentes herramientas que pueden emplearse para su cálculo, en este caso, se hará uso de un paquete de R, bigsnpr, que, por medio de la herramienta LDpred y sus diversas funciones, aplicadas a un caso clínico de enfermedades de las arterias coronarias o EAC, ayudarán a comprender y visualizar el procedimiento de este cálculo.
Numerous studies are currently being carried out to improve health and well-being. One of them is the possibility of predicting the state of a disease, or how susceptible an individual is to suffering from it, by means of the calculation of polygenic risk. There are different tools that can be used for its calculation, in this case, we will make use of an R package, bigsnpr, which, by means of the LDpred tool and its various functions, applied to a clinical case of coronary artery disease or EAC, will help to understand and visualise the procedure of this calculation.
Numerous studies are currently being carried out to improve health and well-being. One of them is the possibility of predicting the state of a disease, or how susceptible an individual is to suffering from it, by means of the calculation of polygenic risk. There are different tools that can be used for its calculation, in this case, we will make use of an R package, bigsnpr, which, by means of the LDpred tool and its various functions, applied to a clinical case of coronary artery disease or EAC, will help to understand and visualise the procedure of this calculation.