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Whole exome sequencing in extended families with autism spectrum disorder implicates four candidate genes

Overview of attention for article published in Human Genetics, July 2015
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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2 news outlets
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1 blog
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6 X users

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82 Mendeley
Title
Whole exome sequencing in extended families with autism spectrum disorder implicates four candidate genes
Published in
Human Genetics, July 2015
DOI 10.1007/s00439-015-1585-y
Pubmed ID
Authors

Nicola H. Chapman, Alejandro Q. Nato, Raphael Bernier, Katy Ankenman, Harkirat Sohi, Jeff Munson, Ashok Patowary, Marilyn Archer, Elizabeth M. Blue, Sara Jane Webb, Hilary Coon, Wendy H. Raskind, Zoran Brkanac, Ellen M. Wijsman

Abstract

Autism spectrum disorders (ASDs) are a group of neurodevelopmental disorders, characterized by impairment in communication and social interactions, and by repetitive behaviors. ASDs are highly heritable, and estimates of the number of risk loci range from hundreds to >1000. We considered 7 extended families (size 12-47 individuals), each with ≥3 individuals affected by ASD. All individuals were genotyped with dense SNP panels. A small subset of each family was typed with whole exome sequence (WES). We used a 3-step approach for variant identification. First, we used family-specific parametric linkage analysis of the SNP data to identify regions of interest. Second, we filtered variants in these regions based on frequency and function, obtaining exactly 200 candidates. Third, we compared two approaches to narrowing this list further. We used information from the SNP data to impute exome variant dosages into those without WES. We regressed affected status on variant allele dosage, using pedigree-based kinship matrices to account for relationships. The p value for the test of the null hypothesis that variant allele dosage is unrelated to phenotype was used to indicate strength of evidence supporting the variant. A cutoff of p = 0.05 gave 28 variants. As an alternative third filter, we required Mendelian inheritance in those with WES, resulting in 70 variants. The imputation- and association-based approach was effective. We identified four strong candidate genes for ASD (SEZ6L, HISPPD1, FEZF1, SAMD11), all of which have been previously implicated in other studies, or have a strong biological argument for their relevance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 18%
Researcher 12 15%
Student > Ph. D. Student 11 13%
Student > Bachelor 9 11%
Student > Postgraduate 5 6%
Other 17 21%
Unknown 13 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 27%
Agricultural and Biological Sciences 14 17%
Psychology 8 10%
Neuroscience 7 9%
Medicine and Dentistry 4 5%
Other 11 13%
Unknown 16 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 April 2018.
All research outputs
#1,411,080
of 23,313,051 outputs
Outputs from Human Genetics
#108
of 2,980 outputs
Outputs of similar age
#19,131
of 264,466 outputs
Outputs of similar age from Human Genetics
#1
of 21 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,980 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 264,466 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 92% of its contemporaries.
We're also able to compare this research output to 21 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 99% of its contemporaries.