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Seth D Temple1, Nicola H Chapman2, Seung Hoan Choi3

  • 1Department of Statistics, University of Washington, Seattle, WA, USA; Department of Statistics, University of Michigan, Ann Arbor, MI, USA; Michigan Institute for Data and AI in Society, University of Michigan, Ann Arbor, MI, USA.

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Resumen
Este resumen es generado por máquina.

Desarrollamos un novedoso método de mapeo de identidad por descendencia (IBD) para identificar loci de riesgo de la enfermedad de Alzheimer (EA). Este enfoque complementa los estudios de asociación del genoma completo (GWAS) y detectó con éxito seis señales significativas de riesgo de EA.

Palabras clave:
Enfermedad de Alzheimerrasgos binarioshaplotiposidentidad por descendenciaprocesos de reversión de la mediapruebas múltiples

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Área de la Ciencia:

  • Genética
  • Análisis genómico
  • Genética estadística

Sus antecedentes:

  • Los estudios de asociación del genoma completo (GWAS) pueden pasar por alto señales genéticas complejas de múltiples variantes causales.
  • El mapeo de identidad por descendencia (IBD) ofrece información complementaria sobre la genética de las enfermedades.

Objetivo del estudio:

  • Introducir una novedosa estadística de mapeo de IBD y un marco de prueba de hipótesis para identificar loci de riesgo de enfermedades.
  • Desarrollar un flujo de trabajo computacional escalable y reproducible para el mapeo de IBD.
  • Aplicar el método para descubrir loci de riesgo de la enfermedad de Alzheimer (EA).

Principales métodos:

  • Se propuso una estadística basada en la diferencia entre las tasas de IBD de afectados-afectados y de controles-controles.
  • Se utilizó un enfoque computacionalmente eficiente de proceso estocástico para la prueba de significancia en todo el genoma, controlando la tasa de error familiar (FWER).
  • Se integró el mapeo de IBD con escaneos de selección y aleatorización de fenotipos para la evaluación de confusiones.
  • Se desarrollaron flujos de trabajo automatizados para la determinación de haplotipos y la asignación de probabilidades de ascendencia local.

Principales resultados:

  • Las simulaciones de genoma completo confirmaron el control conservador de la FWER.
  • Se identificaron seis loci de riesgo de EA significativos en todo el genoma en los datos del Proyecto de Secuenciación de la Enfermedad de Alzheimer (ADSP).
  • Se detectaron señales en muestras de ascendencia africana, europea y Amish.
  • Se encontraron variantes previamente asociadas y se nominaron genes diana terapéuticos dentro de los loci identificados.

Conclusiones:

  • El enfoque de mapeo de IBD desarrollado es una herramienta escalable y eficaz para descubrir loci de riesgo de enfermedades, particularmente para arquitecturas genéticas complejas.
  • Este método mejora la utilidad de los datos de grandes consorcios genómicos para comprender los mecanismos de las enfermedades.
  • Los loci de riesgo de EA identificados proporcionan objetivos adicionales para la intervención terapéutica y la investigación.