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Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure

Overview of attention for article published in Genome Medicine, June 2018
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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 (95th percentile)

Mentioned by

news
7 news outlets
twitter
15 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
78 Mendeley
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Title
Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure
Published in
Genome Medicine, June 2018
DOI 10.1186/s13073-018-0551-4
Pubmed ID
Authors

Zeran Li, Jorge L. Del-Aguila, Umber Dube, John Budde, Rita Martinez, Kathleen Black, Qingli Xiao, Nigel J. Cairns, Joseph D. Dougherty, Jin-Moo Lee, John C. Morris, Randall J. Bateman, Celeste M. Karch, Carlos Cruchaga, Oscar Harari

Abstract

Alzheimer's disease (AD) is characterized by neuronal loss and astrocytosis in the cerebral cortex. However, the specific effects that pathological mutations and coding variants associated with AD have on the cellular composition of the brain are often ignored. We developed and optimized a cell-type-specific expression reference panel and employed digital deconvolution methods to determine brain cellular distribution in three independent transcriptomic studies. We found that neuronal and astrocyte relative proportions differ between healthy and diseased brains and also among AD cases that carry specific genetic risk variants. Brain carriers of pathogenic mutations in APP, PSEN1, or PSEN2 presented lower neuron and higher astrocyte relative proportions compared to sporadic AD. Similarly, the APOE ε4 allele also showed decreased neuronal and increased astrocyte relative proportions compared to AD non-carriers. In contrast, carriers of variants in TREM2 risk showed a lower degree of neuronal loss compared to matched AD cases in multiple independent studies. These findings suggest that genetic risk factors associated with AD etiology have a specific imprinting in the cellular composition of AD brains. Our digital deconvolution reference panel provides an enhanced understanding of the fundamental molecular mechanisms underlying neurodegeneration, enabling the analysis of large bulk RNA-sequencing studies for cell composition and suggests that correcting for the cellular structure when performing transcriptomic analysis will lead to novel insights of AD.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 14 18%
Student > Bachelor 7 9%
Student > Master 6 8%
Professor > Associate Professor 5 6%
Other 10 13%
Unknown 22 28%
Readers by discipline Count As %
Neuroscience 14 18%
Medicine and Dentistry 11 14%
Biochemistry, Genetics and Molecular Biology 10 13%
Agricultural and Biological Sciences 9 12%
Computer Science 2 3%
Other 8 10%
Unknown 24 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 66. 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 13 April 2020.
All research outputs
#387,607
of 17,429,432 outputs
Outputs from Genome Medicine
#74
of 1,159 outputs
Outputs of similar age
#11,938
of 287,097 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 17,429,432 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,159 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one has done particularly well, scoring higher than 93% 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 287,097 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 95% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them