Genetic Sample Provision Among National Alzheimer's Coordinating Center Participants.

Alzheimer’s disease genetic research patient participation surveys and questionnaires

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2019
Historique:
pubmed: 9 4 2019
medline: 10 9 2020
entrez: 9 4 2019
Statut: ppublish

Résumé

Genetic data help detect preclinical Alzheimer's disease and target individuals for clinical trials, making genetic research engagement critical for continued advancement in dementia prevention and treatment. To understand what individual and institutional factors may relate to provision of genetic samples within the Alzheimer's Disease Centers. Data from the National Alzheimer's Coordinating Center Uniform Data Set (2009-2016) were obtained along with genetic sample availability. Logistic regression was used to assess independent contributions of demographic and clinical characteristics to the probability of sample provision. Sites contributing data completed a brief survey exploring regulatory and scientific issues related to genetic research engagement. Just over half (52.1%) of the 27,519 unique participants had genetic data available. Female sex, white race, non-Hispanic ethnicity, normal cognition, and greater than 5 years of follow-up were associated with greater probability of availability. Sites identified refusals as the most frequent barrier to sample provision, followed by staff availability. These results highlight the importance of strategies to promote minority engagement and encourage earlier genetic research participation.

Sections du résumé

BACKGROUND
Genetic data help detect preclinical Alzheimer's disease and target individuals for clinical trials, making genetic research engagement critical for continued advancement in dementia prevention and treatment.
OBJECTIVE
To understand what individual and institutional factors may relate to provision of genetic samples within the Alzheimer's Disease Centers.
METHODS
Data from the National Alzheimer's Coordinating Center Uniform Data Set (2009-2016) were obtained along with genetic sample availability. Logistic regression was used to assess independent contributions of demographic and clinical characteristics to the probability of sample provision. Sites contributing data completed a brief survey exploring regulatory and scientific issues related to genetic research engagement.
RESULTS
Just over half (52.1%) of the 27,519 unique participants had genetic data available. Female sex, white race, non-Hispanic ethnicity, normal cognition, and greater than 5 years of follow-up were associated with greater probability of availability. Sites identified refusals as the most frequent barrier to sample provision, followed by staff availability.
CONCLUSION
These results highlight the importance of strategies to promote minority engagement and encourage earlier genetic research participation.

Identifiants

pubmed: 30958359
pii: JAD181159
doi: 10.3233/JAD-181159
pmc: PMC6513699
mid: NIHMS1025106
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

123-133

Subventions

Organisme : NIA NIH HHS
ID : P30 AG013854
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG053760
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010124
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG023501
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005142
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005131
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010133
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG016574
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005146
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG035982
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG008702
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG016976
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG008051
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005681
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG013846
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG047270
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005136
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG049638
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG012300
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG016573
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG047266
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005134
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG008017
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010161
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG025688
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005133
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005138
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG047366
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010129
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG019610
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG028383
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG033514
Pays : United States

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Auteurs

Shoshana H Bardach (SH)

University of Kentucky, Lexington, KY, USA.

Gregory A Jicha (GA)

University of Kentucky, Lexington, KY, USA.

Shama Karanth (S)

University of Kentucky, Lexington, KY, USA.

Xuan Zhang (X)

University of Kentucky, Lexington, KY, USA.

Erin L Abner (EL)

University of Kentucky, Lexington, KY, USA.

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Classifications MeSH