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Genetic Modification of Huntington Disease Acts Early in the Prediagnosis Phase

Overview of attention for article published in American Journal of Human Genetics, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Average Attention Score compared to outputs of the same age and source

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66 Mendeley
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Article details
Title
Genetic Modification of Huntington Disease Acts Early in the Prediagnosis Phase
Published in
American Journal of Human Genetics, August 2018
DOI 10.1016/j.ajhg.2018.07.017
Pubmed ID
Authors
Abstract

Age at onset of Huntington disease, an inherited neurodegenerative disorder, is influenced by the size of the disease-causing CAG trinucleotide repeat expansion in HTT and by genetic modifier loci on chromosomes 8 and 15. Stratifying by modifier genotype, we have examined putamen volume, total motor score (TMS), and symbol digit modalities test (SDMT) scores, both at study entry and longitudinally, in normal controls and CAG-expansion carriers who were enrolled prior to the emergence of manifest HD in the PREDICT-HD study. The modifiers, which included onset-hastening and onset-delaying alleles on chromosome 15 and an onset-hastening allele on chromosome 8, revealed no major effect in controls but distinct patterns of modification in prediagnosis HD subjects. Putamen volume at study entry showed evidence of reciprocal modification by the chromosome 15 alleles, but the rate of loss of putamen volume was modified only by the deleterious chromosome 15 allele. By contrast, both alleles modified the rate of change of the SDMT score, but neither had an effect on the TMS. The influence of the chromosome 8 modifier was evident only in the rate of TMS increase. The data indicate that (1) modification of pathogenesis can occur early in the prediagnosis phase, (2) the modifier loci act in genetic interaction with the HD mutation rather than through independent additive effects, and (3) HD subclinical phenotypes are differentially influenced by each modifier, implying distinct effects in different cells or tissues. Together, these findings indicate the potential benefit of using genetic modifier strategies for dissecting the prediagnosis pathogenic process in HD.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 18%
Student > Bachelor 7 11%
Student > Ph. D. Student 7 11%
Student > Master 6 9%
Student > Doctoral Student 4 6%
Other 10 15%
Unknown 20 30%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 18%
Medicine and Dentistry 8 12%
Neuroscience 8 12%
Psychology 6 9%
Agricultural and Biological Sciences 5 8%
Other 7 11%
Unknown 20 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 02 December 2025.
All research outputs
#3,450,295
of 34,040,673 outputs
Outputs from American Journal of Human Genetics
#1,815
of 7,714 outputs
Outputs of similar age
#49,696
of 352,555 outputs
Outputs of similar age from American Journal of Human Genetics
#20
of 38 outputs
Altmetric has tracked 34,040,673 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one has done well, scoring higher than 75% 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 352,555 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 85% 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 is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.