
Rate of Progression of Alzheimer's Disease Is Associated With Genetic Risk
Lindsay A. Farrer, PhD;
L. Adrienne Cupples, PhD;
Cornelia M. van Duijn, PhD;
Linda Connor-Lacke, MPH;
Dan K. Kiely, MPH;
John H. Growdon, MD
Arch Neurol. 1995;52(9):918-923.
Abstract
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Objective To determine whether differences in genetic origin affect the clinical course of Alzheimer's disease (AD). The limited number of cases of AD linked to a known genetic abnormality is a major obstacle in determining whether the disorder is expressed differently in patients with familial AD and those with sporadic AD.
Design Cross-sectional study.
Setting Memory Disorders Unit of the Alzheimer's Disease Research Center at Massachusetts General Hospital, Boston.
Participants A total of 186 patients who had a clinical diagnosis of probable AD, family history information available for all first-degree relatives, and three or more outpatient visits were identified from a consecutive case series.
Main Outcome Measure Rate of decline on the Blessed Dementia Scale and the Activities of Daily Living Scale.
Results We calculated the probability that an individual patient has a major genetic locus for AD (MGAD) using an algorithm that incorporates information from a genetic model and the individual's family. We measured cognitive and functional changes by the average annual rate of increase (slope) in scores for the Blessed Dementia Scale and Activities of Daily Living Scale, respectively. Multivariate analysis adjusted for age at onset, duration of illness at entry into the study, and education level indicated that scores on the Activities of Daily Living Scale worsened significantly faster in men with MGAD than in men with non-MGAD. No differences in Activities of Daily Living Scale slopes were observed among women with MGAD and non-MGAD. The slopes for Blessed Dementia Scale scores were similar in men and women regardless of the MGAD probability.
Conclusions Genetic factors may account for heterogeneity in rates of functional decline in AD. This study also illustrates the practical application of a probabilistic method that characterizes the genetic status of AD in an individual patient.
Author Affiliations
From the Department of Neurology, Boston (Mass) University School of Medicine (Dr Farrer and Mr Kiely); the Department of Epidemiology and Biostatistics, Boston University School of Public Health (Drs Farrer and Cupples); the Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (Drs Farrer and Growdon and Ms Connor-Lacke); and the Department of Epidemiology, Erasmus University, Rotterdam, the Netherlands (Dr van Duijn).
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