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Age stratification corrects bias in estimated hazard of APOE genotype for Alzheimer's disease

INTRODUCTION: The apolipoprotein E (APOE) e4 allele is a major genetic risk factor of late-onset Alzheimer's disease. However, its interaction with two other canonical risk factors, age and sex, is not clear. Previous studies have reported conflicting results on its differential effects in men...

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Autores principales: Liu, Li, Caselli, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226550/
https://www.ncbi.nlm.nih.gov/pubmed/30450407
http://dx.doi.org/10.1016/j.trci.2018.09.006
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author Liu, Li
Caselli, Richard J.
author_facet Liu, Li
Caselli, Richard J.
author_sort Liu, Li
collection PubMed
description INTRODUCTION: The apolipoprotein E (APOE) e4 allele is a major genetic risk factor of late-onset Alzheimer's disease. However, its interaction with two other canonical risk factors, age and sex, is not clear. Previous studies have reported conflicting results on its differential effects in men and women, its association with young-onset AD before the age of 65 years, and its significance in genetic admixture populations. In these studies, the hazard of the e4 allele was assumed to be constant during aging. However, this hypothesis has not been tested and its violation may lead to significant biases and contribute to such discrepant findings. METHODS: In a prospective cohort of 4727 subjects, we performed Cox regression analysis of the association of the e4 allele with AD age of onset. We then performed diagnostics on the resulting model and tested if the hazard of the e4 allele violated the assumption of proportionality during aging. We examined whether incorporating age stratifications and time-dependent coefficients could restore the proportionality. We then validated our findings in four independent cohorts. RESULTS: Hazard of the e4 allele for AD was nonproportional. It took a stepwise decline around the age of 80 years for men and around the age of 75 years for women. By stratifying subjects into a younger group and an older group, we detected more consistent effects of the e4 allele across multiple independent cohorts. We also found that the e4 allele was a significant risk factor for young-onset AD with age of onset before 65 years. DISCUSSION: Age compositions of study cohorts can significantly bias the estimated effect of the APOE genotype. Studies of AD should consider hidden age structures among subjects and routinely employ appropriate age and sex stratification strategies or nonparametric modeling in experimental designs and data analysis. Finally, we argue that the e4 allele is a risk factor not only for late-onset AD but also for young-onset AD.
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spelling pubmed-62265502018-11-16 Age stratification corrects bias in estimated hazard of APOE genotype for Alzheimer's disease Liu, Li Caselli, Richard J. Alzheimers Dement (N Y) Featured Article INTRODUCTION: The apolipoprotein E (APOE) e4 allele is a major genetic risk factor of late-onset Alzheimer's disease. However, its interaction with two other canonical risk factors, age and sex, is not clear. Previous studies have reported conflicting results on its differential effects in men and women, its association with young-onset AD before the age of 65 years, and its significance in genetic admixture populations. In these studies, the hazard of the e4 allele was assumed to be constant during aging. However, this hypothesis has not been tested and its violation may lead to significant biases and contribute to such discrepant findings. METHODS: In a prospective cohort of 4727 subjects, we performed Cox regression analysis of the association of the e4 allele with AD age of onset. We then performed diagnostics on the resulting model and tested if the hazard of the e4 allele violated the assumption of proportionality during aging. We examined whether incorporating age stratifications and time-dependent coefficients could restore the proportionality. We then validated our findings in four independent cohorts. RESULTS: Hazard of the e4 allele for AD was nonproportional. It took a stepwise decline around the age of 80 years for men and around the age of 75 years for women. By stratifying subjects into a younger group and an older group, we detected more consistent effects of the e4 allele across multiple independent cohorts. We also found that the e4 allele was a significant risk factor for young-onset AD with age of onset before 65 years. DISCUSSION: Age compositions of study cohorts can significantly bias the estimated effect of the APOE genotype. Studies of AD should consider hidden age structures among subjects and routinely employ appropriate age and sex stratification strategies or nonparametric modeling in experimental designs and data analysis. Finally, we argue that the e4 allele is a risk factor not only for late-onset AD but also for young-onset AD. Elsevier 2018-10-30 /pmc/articles/PMC6226550/ /pubmed/30450407 http://dx.doi.org/10.1016/j.trci.2018.09.006 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Featured Article
Liu, Li
Caselli, Richard J.
Age stratification corrects bias in estimated hazard of APOE genotype for Alzheimer's disease
title Age stratification corrects bias in estimated hazard of APOE genotype for Alzheimer's disease
title_full Age stratification corrects bias in estimated hazard of APOE genotype for Alzheimer's disease
title_fullStr Age stratification corrects bias in estimated hazard of APOE genotype for Alzheimer's disease
title_full_unstemmed Age stratification corrects bias in estimated hazard of APOE genotype for Alzheimer's disease
title_short Age stratification corrects bias in estimated hazard of APOE genotype for Alzheimer's disease
title_sort age stratification corrects bias in estimated hazard of apoe genotype for alzheimer's disease
topic Featured Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226550/
https://www.ncbi.nlm.nih.gov/pubmed/30450407
http://dx.doi.org/10.1016/j.trci.2018.09.006
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