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Segregation of a rare TTC3 variant in an extended family with late-onset Alzheimer disease

Overview of attention for article published in Neurology: Genetics, January 2016
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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1 news outlet
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2 X users

Citations

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43 Dimensions

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44 Mendeley
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Title
Segregation of a rare TTC3 variant in an extended family with late-onset Alzheimer disease
Published in
Neurology: Genetics, January 2016
DOI 10.1212/nxg.0000000000000041
Pubmed ID
Authors

Martin A Kohli, Holly N Cukier, Kara L Hamilton-Nelson, Sophie Rolati, Brian W Kunkle, Patrice L Whitehead, Stephan L Züchner, Lindsay A Farrer, Eden R Martin, Gary W Beecham, Jonathan L Haines, Jeffery M Vance, Michael L Cuccaro, John R Gilbert, Gerard D Schellenberg, Regina M Carney, Margaret A Pericak-Vance

Abstract

The genetic risk architecture of Alzheimer disease (AD) is complex with single pathogenic mutations leading to early-onset AD, while both rare and common genetic susceptibility variants contribute to the more widespread late-onset AD (LOAD); we sought to discover novel genes contributing to LOAD risk. Whole-exome sequencing and genome-wide genotyping were performed on 11 affected individuals in an extended family with an apparent autosomal dominant pattern of LOAD. Variants of interest were then evaluated in a large cohort of LOAD cases and aged controls. We detected a single rare, nonsynonymous variant shared in all 11 LOAD individuals, a missense change in the tetratricopeptide repeat domain 3 (TTC3) gene. The missense variant, rs377155188 (p.S1038C), is predicted to be damaging. Affecteds-only multipoint linkage analysis demonstrated that this region of TTC3 has a LOD score of 2.66 in this family. The TTC3 p.S1038C substitution may represent a segregating, rare LOAD risk variant. Previous studies have shown that TTC3 expression is consistently reduced in LOAD patients and negatively correlated with AD neuropathology and that TTC3 is a regulator of Akt signaling, a key pathway disrupted in LOAD. This study demonstrates how utilizing whole-exome sequencing in a large, multigenerational family with a high incidence of LOAD could reveal a novel candidate gene.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Ph. D. Student 8 18%
Student > Master 5 11%
Professor 3 7%
Student > Doctoral Student 3 7%
Other 6 14%
Unknown 7 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 23%
Agricultural and Biological Sciences 9 20%
Neuroscience 7 16%
Medicine and Dentistry 3 7%
Psychology 2 5%
Other 6 14%
Unknown 7 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 April 2016.
All research outputs
#3,434,914
of 25,604,262 outputs
Outputs from Neurology: Genetics
#275
of 706 outputs
Outputs of similar age
#55,824
of 403,609 outputs
Outputs of similar age from Neurology: Genetics
#6
of 20 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 61% 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 403,609 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 86% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.