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Article details
Title
The Relationship Between CAG Repeat Length and Age of Onset Differs for Huntington's Disease Patients with Juvenile Onset or Adult Onset
Published in
Annals of Human Genetics, December 2006
DOI 10.1111/j.1469-1809.2006.00335.x
Pubmed ID
Authors
Abstract

Age of onset for Huntington's disease (HD) varies inversely with the length of the disease-causing CAG repeat expansion in the HD gene. A simple exponential regression model yielded adjusted R-squared values of 0.728 in a large set of Venezuelan kindreds and 0.642 in a North American, European, and Australian sample (the HD MAPS cohort). We present evidence that a two-segment exponential regression curve provides a significantly better fit than the simple exponential regression. A plot of natural log-transformed age of onset against CAG repeat length reveals this segmental relationship. This two-segment exponential regression on age of onset data increases the adjusted R-squared values by 0.012 in the Venezuelan kindreds and by 0.035 in the HD MAPS cohort. Although the amount of additional variance explained by the segmental regression approach is modest, the two slopes of the two-segment regression are significantly different from each other in both the Venezuelan kindreds [F(2, 439) = 11.13, P= 2 x 10(-5)] and in the HD MAPS cohort [F(2, 688) = 38.27, P= 2 x 10(-16)]. In both populations, the influence of each CAG repeat on age of onset appears to be stronger in the adult-onset range of CAG repeats than in the juvenile-onset range.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 4%
Unknown 123 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 23 18%
Researcher 23 18%
Student > Bachelor 16 13%
Student > Master 11 9%
Student > Postgraduate 9 7%
Other 23 18%
Unknown 23 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 29 23%
Biochemistry, Genetics and Molecular Biology 17 13%
Medicine and Dentistry 17 13%
Neuroscience 15 12%
Chemistry 5 4%
Other 19 15%
Unknown 26 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 September 2018.
All research outputs
#16,250,472
of 24,717,821 outputs
Outputs from Annals of Human Genetics
#646
of 907 outputs
Outputs of similar age
#144,749
of 169,063 outputs
Outputs of similar age from Annals of Human Genetics
#9
of 9 outputs
Altmetric has tracked 24,717,821 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 907 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 26th percentile – i.e., 26% 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 169,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.