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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Cómo interpretar un estudio de asociación de todo el genoma.

Thomas A Pearson1, Teri A Manolio

  • 1Office of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2154, USA.

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Resumen

Los estudios de asociación de todo el genoma identifican variantes genéticas para enfermedades que utilizan polimorfismos de un solo nucleótido (SNP). Si bien son valiosos para el descubrimiento, los estudios de GWA tienen limitaciones y actualmente son una herramienta de descubrimiento, no para uso clínico directo.

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Área de la Ciencia:

  • Genética y Genómica.
  • Genética Humana Genética Humana.

Sus antecedentes:

  • Los estudios de asociación de todo el genoma (GWA) son una herramienta clave para identificar variantes genéticas vinculadas a enfermedades y rasgos comunes.
  • El genotipado de alto rendimiento analiza cientos de miles de polimorfismos de un solo nucleótido (SNP) para descubrir asociaciones genéticas.

Objetivo del estudio:

  • Describir el diseño, la interpretación, la aplicación y las limitaciones de los estudios GWA.
  • Proporcionar a los médicos y científicos una comprensión de este campo en evolución.

Principales métodos:

  • Utiliza tecnologías de genotipado de alto rendimiento para analizar numerosos polimorfismos de un solo nucleótido (SNP).
  • Relaciona los SNPs identificados con las condiciones clínicas y los rasgos medibles a través del análisis estadístico.

Principales resultados:

  • Casi 100 loci para hasta 40 enfermedades y rasgos comunes han sido identificados y replicados desde 2005.
  • Los descubrimientos incluyen nuevos genes y regiones genómicas, algunas no asociadas previamente con enfermedades.

Conclusiones:

  • Los estudios de GWA son poderosas herramientas de descubrimiento para comprender la función genómica y los mecanismos de la enfermedad.
  • Las limitaciones incluyen el potencial de falsos positivos / negativos y sesgos; las aplicaciones clínicas directas aún están en desarrollo.