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Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis
OBJECTIVE: To determine which potentially modifiable risk factors, including socioeconomic, lifestyle/dietary, cardiometabolic, and inflammatory factors, are associated with Alzheimer’s disease. DESIGN: Mendelian randomisation study using genetic variants associated with the modifiable risk factors...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group Ltd.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717765/ https://www.ncbi.nlm.nih.gov/pubmed/29212772 http://dx.doi.org/10.1136/bmj.j5375 |
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author | Larsson, Susanna C Traylor, Matthew Malik, Rainer Dichgans, Martin Burgess, Stephen Markus, Hugh S |
author_facet | Larsson, Susanna C Traylor, Matthew Malik, Rainer Dichgans, Martin Burgess, Stephen Markus, Hugh S |
author_sort | Larsson, Susanna C |
collection | PubMed |
description | OBJECTIVE: To determine which potentially modifiable risk factors, including socioeconomic, lifestyle/dietary, cardiometabolic, and inflammatory factors, are associated with Alzheimer’s disease. DESIGN: Mendelian randomisation study using genetic variants associated with the modifiable risk factors as instrumental variables. SETTING: International Genomics of Alzheimer’s Project. PARTICIPANTS: 17 008 cases of Alzheimer’s disease and 37 154 controls. MAIN OUTCOME MEASURES: Odds ratio of Alzheimer’s per genetically predicted increase in each modifiable risk factor estimated with Mendelian randomisation analysis. RESULTS: This study included analyses of 24 potentially modifiable risk factors. A Bonferroni corrected threshold of P=0.002 was considered to be significant, and P<0.05 was considered suggestive of evidence for a potential association. Genetically predicted educational attainment was significantly associated with Alzheimer’s. The odds ratios were 0.89 (95% confidence interval 0.84 to 0.93; P=2.4×10(−6)) per year of education completed and 0.74 (0.63 to 0.86; P=8.0×10(−5)) per unit increase in log odds of having completed college/university. The correlated trait intelligence had a suggestive association with Alzheimer’s (per genetically predicted 1 SD higher intelligence: 0.73, 0.57 to 0.93; P=0.01). There was suggestive evidence for potential associations between genetically predicted higher quantity of smoking (per 10 cigarettes a day: 0.69, 0.49 to 0.99; P=0.04) and 25-hydroxyvitamin D concentrations (per 20% higher levels: 0.92, 0.85 to 0.98; P=0.01) and lower odds of Alzheimer’s and between higher coffee consumption (per one cup a day: 1.26, 1.05 to 1.51; P=0.01) and higher odds of Alzheimer’s. Genetically predicted alcohol consumption, serum folate, serum vitamin B(12), homocysteine, cardiometabolic factors, and C reactive protein were not associated with Alzheimer’s disease. CONCLUSION: These results provide support that higher educational attainment is associated with a reduced risk of Alzheimer’s disease. |
format | Online Article Text |
id | pubmed-5717765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57177652017-12-08 Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis Larsson, Susanna C Traylor, Matthew Malik, Rainer Dichgans, Martin Burgess, Stephen Markus, Hugh S BMJ Research OBJECTIVE: To determine which potentially modifiable risk factors, including socioeconomic, lifestyle/dietary, cardiometabolic, and inflammatory factors, are associated with Alzheimer’s disease. DESIGN: Mendelian randomisation study using genetic variants associated with the modifiable risk factors as instrumental variables. SETTING: International Genomics of Alzheimer’s Project. PARTICIPANTS: 17 008 cases of Alzheimer’s disease and 37 154 controls. MAIN OUTCOME MEASURES: Odds ratio of Alzheimer’s per genetically predicted increase in each modifiable risk factor estimated with Mendelian randomisation analysis. RESULTS: This study included analyses of 24 potentially modifiable risk factors. A Bonferroni corrected threshold of P=0.002 was considered to be significant, and P<0.05 was considered suggestive of evidence for a potential association. Genetically predicted educational attainment was significantly associated with Alzheimer’s. The odds ratios were 0.89 (95% confidence interval 0.84 to 0.93; P=2.4×10(−6)) per year of education completed and 0.74 (0.63 to 0.86; P=8.0×10(−5)) per unit increase in log odds of having completed college/university. The correlated trait intelligence had a suggestive association with Alzheimer’s (per genetically predicted 1 SD higher intelligence: 0.73, 0.57 to 0.93; P=0.01). There was suggestive evidence for potential associations between genetically predicted higher quantity of smoking (per 10 cigarettes a day: 0.69, 0.49 to 0.99; P=0.04) and 25-hydroxyvitamin D concentrations (per 20% higher levels: 0.92, 0.85 to 0.98; P=0.01) and lower odds of Alzheimer’s and between higher coffee consumption (per one cup a day: 1.26, 1.05 to 1.51; P=0.01) and higher odds of Alzheimer’s. Genetically predicted alcohol consumption, serum folate, serum vitamin B(12), homocysteine, cardiometabolic factors, and C reactive protein were not associated with Alzheimer’s disease. CONCLUSION: These results provide support that higher educational attainment is associated with a reduced risk of Alzheimer’s disease. BMJ Publishing Group Ltd. 2017-12-07 /pmc/articles/PMC5717765/ /pubmed/29212772 http://dx.doi.org/10.1136/bmj.j5375 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Larsson, Susanna C Traylor, Matthew Malik, Rainer Dichgans, Martin Burgess, Stephen Markus, Hugh S Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis |
title | Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis |
title_full | Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis |
title_fullStr | Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis |
title_full_unstemmed | Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis |
title_short | Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis |
title_sort | modifiable pathways in alzheimer’s disease: mendelian randomisation analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717765/ https://www.ncbi.nlm.nih.gov/pubmed/29212772 http://dx.doi.org/10.1136/bmj.j5375 |
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