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Impact of home visit capacity on genetic association studies of late-onset Alzheimer's disease

  • David W. Fardo
  • , Laura E. Gibbons
  • , Shubhabrata Mukherjee
  • , M. Maria Glymour
  • , Wayne McCormick
  • , Susan M. McCurry
  • , James D. Bowen
  • , Eric B. Larson
  • , Paul K. Crane

Producción científica: Articlerevisión exhaustiva

2 Citas (Scopus)

Resumen

Introduction Findings for genetic correlates of late-onset Alzheimer's disease (LOAD) in studies that rely solely on clinic visits may differ from those with capacity to follow participants unable to attend clinic visits. Methods We evaluated previously identified LOAD-risk single nucleotide variants in the prospective Adult Changes in Thought study, comparing hazard ratios (HRs) estimated using the full data set of both in-home and clinic visits (n = 1697) to HRs estimated using only data that were obtained from clinic visits (n = 1308). Models were adjusted for age, sex, principal components to account for ancestry, and additional health indicators. Results LOAD associations nominally differed for 4 of 21 variants; CR1 and APOE variants were significant after Bonferroni correction. Discussion Estimates of genetic associations may differ for studies limited to clinic-only designs. Home visit capacity should be explored as a possible source of heterogeneity and potential bias in genetic studies.

Idioma originalEnglish
Páginas (desde-hasta)933-939
Número de páginas7
PublicaciónAlzheimer's and Dementia
Volumen13
N.º8
DOI
EstadoPublished - ago 2017

Nota bibliográfica

Publisher Copyright:
© 2017 the Alzheimer's Association

Financiación

FinanciadoresNúmero del financiador
National Institute on AgingR01AG042437
National Institute on Aging

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. Good health and well being
      Good health and well being

    ASJC Scopus subject areas

    • Epidemiology
    • Health Policy
    • Developmental Neuroscience
    • Clinical Neurology
    • Geriatrics and Gerontology
    • Cellular and Molecular Neuroscience
    • Psychiatry and Mental health

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