↓ Skip to main content

Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder

Overview of attention for article published in Nature Neuroscience, March 2017
Altmetric Badge

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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
25 news outlets
blogs
4 blogs
twitter
175 X users
facebook
7 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user
reddit
3 Redditors

Citations

dimensions_citation
675 Dimensions

Readers on

mendeley
871 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder
Published in
Nature Neuroscience, March 2017
DOI 10.1038/nn.4524
Pubmed ID
Authors

Ryan K C Yuen, Daniele Merico, Matt Bookman, Jennifer L Howe, Bhooma Thiruvahindrapuram, Rohan V Patel, Joe Whitney, Nicole Deflaux, Jonathan Bingham, Zhuozhi Wang, Giovanna Pellecchia, Janet A Buchanan, Susan Walker, Christian R Marshall, Mohammed Uddin, Mehdi Zarrei, Eric Deneault, Lia D'Abate, Ada J S Chan, Stephanie Koyanagi, Tara Paton, Sergio L Pereira, Ny Hoang, Worrawat Engchuan, Edward J Higginbotham, Karen Ho, Sylvia Lamoureux, Weili Li, Jeffrey R MacDonald, Thomas Nalpathamkalam, Wilson W L Sung, Fiona J Tsoi, John Wei, Lizhen Xu, Anne-Marie Tasse, Emily Kirby, William Van Etten, Simon Twigger, Wendy Roberts, Irene Drmic, Sanne Jilderda, Bonnie MacKinnon Modi, Barbara Kellam, Michael Szego, Cheryl Cytrynbaum, Rosanna Weksberg, Lonnie Zwaigenbaum, Marc Woodbury-Smith, Jessica Brian, Lili Senman, Alana Iaboni, Krissy Doyle-Thomas, Ann Thompson, Christina Chrysler, Jonathan Leef, Tal Savion-Lemieux, Isabel M Smith, Xudong Liu, Rob Nicolson, Vicki Seifer, Angie Fedele, Edwin H Cook, Stephen Dager, Annette Estes, Louise Gallagher, Beth A Malow, Jeremy R Parr, Sarah J Spence, Jacob Vorstman, Brendan J Frey, James T Robinson, Lisa J Strug, Bridget A Fernandez, Mayada Elsabbagh, Melissa T Carter, Joachim Hallmayer, Bartha M Knoppers, Evdokia Anagnostou, Peter Szatmari, Robert H Ring, David Glazer, Mathew T Pletcher, Stephen W Scherer

Abstract

We are performing whole-genome sequencing of families with autism spectrum disorder (ASD) to build a resource (MSSNG) for subcategorizing the phenotypes and underlying genetic factors involved. Here we report sequencing of 5,205 samples from families with ASD, accompanied by clinical information, creating a database accessible on a cloud platform and through a controlled-access internet portal. We found an average of 73.8 de novo single nucleotide variants and 12.6 de novo insertions and deletions or copy number variations per ASD subject. We identified 18 new candidate ASD-risk genes and found that participants bearing mutations in susceptibility genes had significantly lower adaptive ability (P = 6 × 10(-4)). In 294 of 2,620 (11.2%) of ASD cases, a molecular basis could be determined and 7.2% of these carried copy number variations and/or chromosomal abnormalities, emphasizing the importance of detecting all forms of genetic variation as diagnostic and therapeutic targets in ASD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 175 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 871 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Italy 1 <1%
France 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 865 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 174 20%
Student > Ph. D. Student 158 18%
Student > Master 90 10%
Student > Bachelor 85 10%
Student > Doctoral Student 48 6%
Other 131 15%
Unknown 185 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 220 25%
Agricultural and Biological Sciences 123 14%
Neuroscience 113 13%
Medicine and Dentistry 61 7%
Psychology 44 5%
Other 88 10%
Unknown 222 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 325. 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 22 January 2024.
All research outputs
#104,502
of 26,017,215 outputs
Outputs from Nature Neuroscience
#155
of 5,702 outputs
Outputs of similar age
#2,493
of 328,668 outputs
Outputs of similar age from Nature Neuroscience
#4
of 67 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 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,702 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.9. This one has done particularly well, scoring higher than 97% 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 328,668 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 99% of its contemporaries.
We're also able to compare this research output to 67 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.