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Epistasis

Overview of attention for book
Cover of 'Epistasis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Long-Term Selection Experiments: Epistasis and the Response to Selection
  3. Altmetric Badge
    Chapter 2 Finding the Epistasis Needles in the Genome-Wide Haystack
  4. Altmetric Badge
    Chapter 3 Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits.
  5. Altmetric Badge
    Chapter 4 Epistasis for quantitative traits in Drosophila.
  6. Altmetric Badge
    Chapter 5 Epistasis in the risk of human neuropsychiatric disease.
  7. Altmetric Badge
    Chapter 6 On the Partitioning of Genetic Variance with Epistasis
  8. Altmetric Badge
    Chapter 7 Measuring gene interactions.
  9. Altmetric Badge
    Chapter 8 Two Rules for the Detection and Quantification of Epistasis and Other Interaction Effects
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    Chapter 9 Direct Approach to Modeling Epistasis
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    Chapter 10 Capacitating Epistasis—Detection and Role in the Genetic Architecture of Complex Traits
  12. Altmetric Badge
    Chapter 11 Compositional Epistasis: An Epidemiologic Perspective
  13. Altmetric Badge
    Chapter 12 Identification of Genome-Wide SNP-SNP and SNP-Clinical Boolean Interactions in Age-Related Macular Degeneration.
  14. Altmetric Badge
    Chapter 13 Epistasis Analysis Using Information Theory
  15. Altmetric Badge
    Chapter 14 Genome-wide epistasis and pleiotropy characterized by the bipartite human phenotype network.
  16. Altmetric Badge
    Chapter 15 Network theory for data-driven epistasis networks.
  17. Altmetric Badge
    Chapter 16 Epistasis analysis using multifactor dimensionality reduction.
  18. Altmetric Badge
    Chapter 17 Epistasis Analysis Using ReliefF
  19. Altmetric Badge
    Chapter 18 Epistasis analysis using artificial intelligence.
Attention for Chapter 5: Epistasis in the risk of human neuropsychiatric disease.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Chapter title
Epistasis in the risk of human neuropsychiatric disease.
Chapter number 5
Book title
Epistasis
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2155-3_5
Pubmed ID
Book ISBNs
978-1-4939-2154-6, 978-1-4939-2155-3
Authors

Scott M Williams, Scott M. Williams, Williams, Scott M.

Abstract

Neuropsychiatric disease represents the ideal class of disease to assess the role of epistasis, as more genes are expressed in the brain than in any other tissue. In this chapter, two well-studied neuropsychiatric diseases are examined, Alzheimer's disease (AD) and schizophrenia, which have been shown to have multiple and, often, replicated interactions that associate with clinical endpoints or related phenotypes. In each case, a single gene is represented in a plurality of epistatic interactions, apolipoprotein E (APOE) for AD and catechol-O-methyltransferase for schizophrenia. Interestingly, of the two, only APOE has clear-cut and consistent evidence for a marginal association. Unraveling the underlying reasons is important in understanding both genetic etiology and architecture as well as how to use genetics to provide better personalized treatments.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 3 20%
Student > Master 2 13%
Student > Bachelor 1 7%
Professor 1 7%
Other 1 7%
Unknown 3 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 20%
Psychology 2 13%
Neuroscience 2 13%
Medicine and Dentistry 2 13%
Computer Science 1 7%
Other 0 0%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 December 2014.
All research outputs
#12,845,976
of 22,771,140 outputs
Outputs from Methods in molecular biology
#3,260
of 13,090 outputs
Outputs of similar age
#163,250
of 352,903 outputs
Outputs of similar age from Methods in molecular biology
#220
of 996 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 74% 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 352,903 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.