↓ Skip to main content

The contribution of de novo coding mutations to autism spectrum disorder

Overview of attention for article published in Nature, October 2014
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 (92nd percentile)

Readers on

mendeley
2020 Mendeley
citeulike
6 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.
Article details
Title
The contribution of de novo coding mutations to autism spectrum disorder
Published in
Nature, October 2014
DOI 10.1038/nature13908
Pubmed ID
Authors
Abstract

Whole exome sequencing has proven to be a powerful tool for understanding the genetic architecture of human disease. Here we apply it to more than 2,500 simplex families, each having a child with an autistic spectrum disorder. By comparing affected to unaffected siblings, we show that 13% of de novo missense mutations and 43% of de novo likely gene-disrupting (LGD) mutations contribute to 12% and 9% of diagnoses, respectively. Including copy number variants, coding de novo mutations contribute to about 30% of all simplex and 45% of female diagnoses. Almost all LGD mutations occur opposite wild-type alleles. LGD targets in affected females significantly overlap the targets in males of lower intelligence quotient (IQ), but neither overlaps significantly with targets in males of higher IQ. We estimate that LGD mutation in about 400 genes can contribute to the joint class of affected females and males of lower IQ, with an overlapping and similar number of genes vulnerable to contributory missense mutation. LGD targets in the joint class overlap with published targets for intellectual disability and schizophrenia, and are enriched for chromatin modifiers, FMRP-associated genes and embryonically expressed genes. Most of the significance for the latter comes from affected females.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 79 X users 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 2,020 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 19 <1%
United Kingdom 5 <1%
Brazil 4 <1%
Germany 4 <1%
Spain 3 <1%
Italy 3 <1%
Netherlands 3 <1%
Japan 2 <1%
New Zealand 2 <1%
Other 13 <1%
Unknown 1962 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 430 21%
Researcher 341 17%
Student > Bachelor 182 9%
Student > Master 178 9%
Student > Doctoral Student 105 5%
Other 320 16%
Unknown 464 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 427 21%
Biochemistry, Genetics and Molecular Biology 385 19%
Neuroscience 258 13%
Medicine and Dentistry 178 9%
Psychology 75 4%
Other 169 8%
Unknown 528 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 308. 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 September 2026.
All research outputs
#140,991
of 34,383,983 outputs
Outputs from Nature
#8,324
of 117,588 outputs
Outputs of similar age
#1,038
of 306,988 outputs
Outputs of similar age from Nature
#87
of 1,090 outputs
Altmetric has tracked 34,383,983 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 117,588 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 96.0. This one has done particularly well, scoring higher than 92% 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 306,988 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 1,090 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 92% of its contemporaries.