Impact of home visit capacity on genetic association studies of late‐onset Alzheimer's disease. Issue 8 (18th February 2017)

• Record Type: Journal Article
• Authors: Fardo, David W.; Gibbons, Laura E.; Mukherjee, Shubhabrata; Glymour, M. Maria; McCormick, Wayne; McCurry, Susan M.; Bowen, James D.; Larson, Eric B.; Crane, Paul K.
• Is Part Of: Alzheimer's & dementia. Volume 13:Issue 8(2017)
• Page Start: 933
• Page End: 939
• Publication Date: 2017-02-18
• Subjects: Home research study visits -- Research clinic study visits -- Missing data -- Bias -- Prospective studies -- Cohort studies -- Longitudinal studies -- Inference -- Late‐onset Alzheimer's disease -- Genetics -- Genome‐wide studies -- Genome‐wide association studies -- Ascertainment bias -- Selection bias -- Population‐based studies; Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1016/j.jalz.2017.01.012
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: 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.