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Whole-Exome-Sequencing-Based Discovery of Human FADD Deficiency

Overview of attention for article published in American Journal of Human Genetics, November 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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2 X users
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2 Wikipedia pages

Citations

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164 Dimensions

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166 Mendeley
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Title
Whole-Exome-Sequencing-Based Discovery of Human FADD Deficiency
Published in
American Journal of Human Genetics, November 2010
DOI 10.1016/j.ajhg.2010.10.028
Pubmed ID
Authors

Alexandre Bolze, Minji Byun, David McDonald, Neil V. Morgan, Avinash Abhyankar, Lakshmanane Premkumar, Anne Puel, Chris M. Bacon, Frédéric Rieux-Laucat, Ki Pang, Alison Britland, Laurent Abel, Andrew Cant, Eamonn R. Maher, Stefan J. Riedl, Sophie Hambleton, Jean-Laurent Casanova

Abstract

Germline mutations in FASL and FAS impair Fas-dependent apoptosis and cause recessively or dominantly inherited autoimmune lymphoproliferative syndrome (ALPS). Patients with ALPS typically present with no other clinical phenotype. We investigated a large, consanguineous, multiplex kindred in which biological features of ALPS were found in the context of severe bacterial and viral disease, recurrent hepatopathy and encephalopathy, and cardiac malformations. By a combination of genome-wide linkage and whole-exome sequencing, we identified a homozygous missense mutation in FADD, encoding the Fas-associated death domain protein (FADD), in the patients. This FADD mutation decreases steady-state protein levels and impairs Fas-dependent apoptosis in vitro, accounting for biological ALPS phenotypes in vivo. It also impairs Fas-independent signaling pathways. The observed bacterial infections result partly from functional hyposplenism, and viral infections result from impaired interferon immunity. We describe here a complex clinical disorder, its genetic basis, and some of the key mechanisms underlying its pathogenesis. Our findings highlight the key role of FADD in Fas-dependent and Fas-independent signaling pathways in humans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Spain 2 1%
Norway 1 <1%
Canada 1 <1%
India 1 <1%
Germany 1 <1%
China 1 <1%
Unknown 155 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 23%
Researcher 28 17%
Student > Postgraduate 15 9%
Student > Master 15 9%
Professor 11 7%
Other 36 22%
Unknown 22 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 33%
Medicine and Dentistry 35 21%
Biochemistry, Genetics and Molecular Biology 30 18%
Immunology and Microbiology 10 6%
Computer Science 4 2%
Other 10 6%
Unknown 23 14%
Attention Score in Context

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 04 December 2021.
All research outputs
#7,047,954
of 25,374,917 outputs
Outputs from American Journal of Human Genetics
#3,067
of 5,879 outputs
Outputs of similar age
#48,043
of 190,188 outputs
Outputs of similar age from American Journal of Human Genetics
#14
of 40 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 5,879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 47th percentile – i.e., 47% 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 190,188 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 74% of its contemporaries.
We're also able to compare this research output to 40 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 65% of its contemporaries.