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Polymorphisms in early neurodevelopmental genes affect natural variation in alcohol sensitivity in adult drosophila

Overview of attention for article published in BMC Genomics, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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11 tweeters
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1 Facebook page

Citations

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28 Dimensions

Readers on

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51 Mendeley
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1 CiteULike
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Title
Polymorphisms in early neurodevelopmental genes affect natural variation in alcohol sensitivity in adult drosophila
Published in
BMC Genomics, October 2015
DOI 10.1186/s12864-015-2064-5
Pubmed ID
Authors

Tatiana V. Morozova, Wen Huang, Victoria A. Pray, Thomas Whitham, Robert R. H. Anholt, Trudy F. C. Mackay

Abstract

Alcohol abuse and alcoholism are significant public health problems, but the genetic basis for individual variation in alcohol sensitivity remains poorly understood. Drosophila melanogaster presents a powerful model system for dissecting the genetic underpinnings that determine individual variation in alcohol-related phenotypes. We performed genome wide association analyses for alcohol sensitivity using the sequenced, inbred lines of the D. melanogaster Genetic Reference Panel (DGRP) together with extreme QTL mapping in an advanced intercross population derived from sensitive and resistant DGRP lines. The DGRP harbors substantial genetic variation for alcohol sensitivity and tolerance. We identified 247 candidate genes affecting alcohol sensitivity in the DGRP or the DGRP-derived advanced intercross population, some of which met a Bonferroni-corrected significance threshold, while others occurred among the top candidate genes associated with variation in alcohol sensitivity in multiple analyses. Among these were candidate genes associated with development and function of the nervous system, including several genes in the Dopamine decarboxylase (Ddc) cluster involved in catecholamine synthesis. We found that 58 of these genes formed a genetic interaction network. We verified candidate genes using mutational analysis, targeted gene disruption through RNAi knock-down and transcriptional profiling. Two-thirds of the candidate genes have been implicated in previous Drosophila, mouse and human studies of alcohol-related phenotypes. Individual variation in alcohol sensitivity in Drosophila is highly polygenic and in part determined by variation in evolutionarily conserved signaling pathways that are associated with catecholamine neurotransmitter biosynthesis and early development of the nervous system.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 13 25%
Student > Bachelor 6 12%
Student > Postgraduate 4 8%
Student > Doctoral Student 4 8%
Other 9 18%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 41%
Biochemistry, Genetics and Molecular Biology 11 22%
Psychology 4 8%
Medicine and Dentistry 4 8%
Neuroscience 3 6%
Other 5 10%
Unknown 3 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 July 2016.
All research outputs
#3,454,077
of 14,228,950 outputs
Outputs from BMC Genomics
#1,757
of 8,365 outputs
Outputs of similar age
#67,641
of 284,572 outputs
Outputs of similar age from BMC Genomics
#200
of 996 outputs
Altmetric has tracked 14,228,950 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,365 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 78% 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 284,572 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% 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 79% of its contemporaries.