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The road less traveled: from genotype to phenotype in flies and humans

Overview of attention for article published in Mammalian Genome, October 2017
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
The road less traveled: from genotype to phenotype in flies and humans
Published in
Mammalian Genome, October 2017
DOI 10.1007/s00335-017-9722-7
Pubmed ID
Authors

Robert R. H. Anholt, Trudy F. C. Mackay

Abstract

Understanding how genomic variation gives rise to phenotypic variation is essential for elucidating mechanisms of adaptive evolution, plant and animal breeding, and precision medicine. However, identifying causal links between DNA sequence variants and variation in phenotypes is challenging in human populations, due to large blocks of linkage disequilibrium in the genome and heterogeneous developmental histories, lifestyles, and social and physical environments. Drosophila melanogaster presents a powerful genetic model, since linkage disequilibrium decays rapidly, facilitating assignment of causality to polymorphisms associated with phenotypic variation, and large numbers of individuals can be reared under defined environmental conditions, economically, and without regulatory restrictions. The D. melanogaster Genetic Reference Panel (DGRP), a population of 205 sequenced, inbred wild-derived flies, has enabled genome-wide association studies of morphological, physiological, behavioral, and life history traits, and demonstrated that genetic architectures of complex traits are highly polygenic, sexually dimorphic, and context dependent with extensive sex-, environment-, and genetic background (epistatic) effects. These features together with a modular organization of the transcriptome illustrate a dynamic integrative genetic architecture for complex traits. The complexity of the genetic architectures for complex traits in Drosophila provides important caveats for the interpretation of genetic studies in human populations. Aspects of the genetic underpinnings of complex traits can be represented as simplified gene networks on which human orthologues can be superimposed to provide blueprints for subsequent studies on analogous traits in human populations. Fundamental principles of the genetic architectures of Drosophila complex traits are likely applicable across phyla, from the DGRP to human populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 28%
Researcher 11 18%
Student > Bachelor 8 13%
Student > Master 8 13%
Student > Postgraduate 2 3%
Other 4 7%
Unknown 10 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 32%
Biochemistry, Genetics and Molecular Biology 16 27%
Medicine and Dentistry 4 7%
Neuroscience 3 5%
Economics, Econometrics and Finance 2 3%
Other 8 13%
Unknown 8 13%
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 04 April 2018.
All research outputs
#13,057,517
of 23,006,268 outputs
Outputs from Mammalian Genome
#866
of 1,127 outputs
Outputs of similar age
#155,434
of 328,577 outputs
Outputs of similar age from Mammalian Genome
#3
of 7 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,127 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 328,577 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 51% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.