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Convergence of Genes and Cellular Pathways Dysregulated in Autism Spectrum Disorders

Overview of attention for article published in American Journal of Human Genetics, April 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
6 news outlets
blogs
5 blogs
twitter
39 X users
peer_reviews
1 peer review site
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
820 Dimensions

Readers on

mendeley
980 Mendeley
citeulike
3 CiteULike
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Title
Convergence of Genes and Cellular Pathways Dysregulated in Autism Spectrum Disorders
Published in
American Journal of Human Genetics, April 2014
DOI 10.1016/j.ajhg.2014.03.018
Pubmed ID
Authors

Dalila Pinto, Elsa Delaby, Daniele Merico, Mafalda Barbosa, Alison Merikangas, Lambertus Klei, Bhooma Thiruvahindrapuram, Xiao Xu, Robert Ziman, Zhuozhi Wang, Jacob A.S. Vorstman, Ann Thompson, Regina Regan, Marion Pilorge, Giovanna Pellecchia, Alistair T. Pagnamenta, Bárbara Oliveira, Christian R. Marshall, Tiago R. Magalhaes, Jennifer K. Lowe, Jennifer L. Howe, Anthony J. Griswold, John Gilbert, Eftichia Duketis, Beth A. Dombroski, Maretha V. De Jonge, Michael Cuccaro, Emily L. Crawford, Catarina T. Correia, Judith Conroy, Inês C. Conceição, Andreas G. Chiocchetti, Jillian P. Casey, Guiqing Cai, Christelle Cabrol, Nadia Bolshakova, Elena Bacchelli, Richard Anney, Steven Gallinger, Michelle Cotterchio, Graham Casey, Lonnie Zwaigenbaum, Kerstin Wittemeyer, Kirsty Wing, Simon Wallace, Herman van Engeland, Ana Tryfon, Susanne Thomson, Latha Soorya, Bernadette Rogé, Wendy Roberts, Fritz Poustka, Susana Mouga, Nancy Minshew, L. Alison McInnes, Susan G. McGrew, Catherine Lord, Marion Leboyer, Ann S. Le Couteur, Alexander Kolevzon, Patricia Jiménez González, Suma Jacob, Richard Holt, Stephen Guter, Jonathan Green, Andrew Green, Christopher Gillberg, Bridget A. Fernandez, Frederico Duque, Richard Delorme, Geraldine Dawson, Pauline Chaste, Cátia Café, Sean Brennan, Thomas Bourgeron, Patrick F. Bolton, Sven Bölte, Raphael Bernier, Gillian Baird, Anthony J. Bailey, Evdokia Anagnostou, Joana Almeida, Ellen M. Wijsman, Veronica J. Vieland, Astrid M. Vicente, Gerard D. Schellenberg, Margaret Pericak-Vance, Andrew D. Paterson, Jeremy R. Parr, Guiomar Oliveira, John I. Nurnberger, Anthony P. Monaco, Elena Maestrini, Sabine M. Klauck, Hakon Hakonarson, Jonathan L. Haines, Daniel H. Geschwind, Christine M. Freitag, Susan E. Folstein, Sean Ennis, Hilary Coon, Agatino Battaglia, Peter Szatmari, James S. Sutcliffe, Joachim Hallmayer, Michael Gill, Edwin H. Cook, Joseph D. Buxbaum, Bernie Devlin, Louise Gallagher, Catalina Betancur, Stephen W. Scherer

Abstract

Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability (odds ratio = 12.62, p = 2.7 × 10(-15), ∼3% of ASD subjects). Pathogenic CNVs, often showing variable expressivity, included rare de novo and inherited events at 36 loci, implicating ASD-associated genes (CHD2, HDAC4, and GDI1) previously linked to other neurodevelopmental disorders, as well as other genes such as SETD5, MIR137, and HDAC9. Consistent with hypothesized gender-specific modulators, females with ASD were more likely to have highly penetrant CNVs (p = 0.017) and were also overrepresented among subjects with fragile X syndrome protein targets (p = 0.02). Genes affected by de novo CNVs and/or loss-of-function single-nucleotide variants converged on networks related to neuronal signaling and development, synapse function, and chromatin regulation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 980 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 <1%
Brazil 4 <1%
Netherlands 3 <1%
France 2 <1%
Italy 2 <1%
Portugal 2 <1%
Argentina 2 <1%
Spain 2 <1%
Canada 1 <1%
Other 5 <1%
Unknown 950 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 192 20%
Researcher 170 17%
Student > Master 118 12%
Student > Bachelor 112 11%
Student > Doctoral Student 50 5%
Other 171 17%
Unknown 167 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 224 23%
Biochemistry, Genetics and Molecular Biology 157 16%
Neuroscience 131 13%
Medicine and Dentistry 126 13%
Psychology 62 6%
Other 82 8%
Unknown 198 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 27 December 2023.
All research outputs
#449,168
of 26,017,215 outputs
Outputs from American Journal of Human Genetics
#176
of 6,012 outputs
Outputs of similar age
#3,772
of 245,588 outputs
Outputs of similar age from American Journal of Human Genetics
#2
of 39 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,012 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done particularly well, scoring higher than 96% 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 245,588 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.