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Associations between Potentially Modifiable Risk Factors and Alzheimer Disease: A Mendelian Randomization Study

Overview of attention for article published in PLOS Medicine, June 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
policy
1 policy source
twitter
45 X users
patent
1 patent
peer_reviews
1 peer review site
facebook
5 Facebook pages
googleplus
1 Google+ user
reddit
2 Redditors

Readers on

mendeley
419 Mendeley
citeulike
1 CiteULike
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Article details
Title
Associations between Potentially Modifiable Risk Factors and Alzheimer Disease: A Mendelian Randomization Study
Published in
PLOS Medicine, June 2015
DOI 10.1371/journal.pmed.1001841
Pubmed ID
Authors
Abstract

Potentially modifiable risk factors including obesity, diabetes, hypertension, and smoking are associated with Alzheimer disease (AD) and represent promising targets for intervention. However, the causality of these associations is unclear. We sought to assess the causal nature of these associations using Mendelian randomization (MR). We used SNPs associated with each risk factor as instrumental variables in MR analyses. We considered type 2 diabetes (T2D, NSNPs = 49), fasting glucose (NSNPs = 36), insulin resistance (NSNPs = 10), body mass index (BMI, NSNPs = 32), total cholesterol (NSNPs = 73), HDL-cholesterol (NSNPs = 71), LDL-cholesterol (NSNPs = 57), triglycerides (NSNPs = 39), systolic blood pressure (SBP, NSNPs = 24), smoking initiation (NSNPs = 1), smoking quantity (NSNPs = 3), university completion (NSNPs = 2), and years of education (NSNPs = 1). We calculated MR estimates of associations between each exposure and AD risk using an inverse-variance weighted approach, with summary statistics of SNP-AD associations from the International Genomics of Alzheimer's Project, comprising a total of 17,008 individuals with AD and 37,154 cognitively normal elderly controls. We found that genetically predicted higher SBP was associated with lower AD risk (odds ratio [OR] per standard deviation [15.4 mm Hg] of SBP [95% CI]: 0.75 [0.62-0.91]; p = 3.4 × 10-3). Genetically predicted higher SBP was also associated with a higher probability of taking antihypertensive medication (p = 6.7 × 10-8). Genetically predicted smoking quantity was associated with lower AD risk (OR per ten cigarettes per day [95% CI]: 0.67 [0.51-0.89]; p = 6.5 × 10-3), although we were unable to stratify by smoking history; genetically predicted smoking initiation was not associated with AD risk (OR = 0.70 [0.37, 1.33]; p = 0.28). We saw no evidence of causal associations between glycemic traits, T2D, BMI, or educational attainment and risk of AD (all p > 0.1). Potential limitations of this study include the small proportion of intermediate trait variance explained by genetic variants and other implicit limitations of MR analyses. Inherited lifetime exposure to higher SBP is associated with lower AD risk. These findings suggest that higher blood pressure-or some environmental exposure associated with higher blood pressure, such as use of antihypertensive medications-may reduce AD risk.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 419 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 <1%
Japan 1 <1%
Greece 1 <1%
United Kingdom 1 <1%
Unknown 413 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 83 20%
Student > Master 52 12%
Student > Ph. D. Student 46 11%
Student > Bachelor 29 7%
Professor 27 6%
Other 80 19%
Unknown 102 24%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 98 23%
Neuroscience 38 9%
Biochemistry, Genetics and Molecular Biology 37 9%
Agricultural and Biological Sciences 26 6%
Psychology 20 5%
Other 68 16%
Unknown 132 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2025.
All research outputs
#481,748
of 34,089,221 outputs
Outputs from PLOS Medicine
#729
of 5,332 outputs
Outputs of similar age
#4,050
of 286,660 outputs
Outputs of similar age from PLOS Medicine
#7
of 38 outputs
Altmetric has tracked 34,089,221 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 82.4. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 286,660 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.