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Leveraging blood serotonin as an endophenotype to identify de novo and rare variants involved in autism

Overview of attention for article published in Molecular Autism, March 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

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Title
Leveraging blood serotonin as an endophenotype to identify de novo and rare variants involved in autism
Published in
Molecular Autism, March 2017
DOI 10.1186/s13229-017-0130-3
Pubmed ID
Authors

Rui Chen, Lea K. Davis, Stephen Guter, Qiang Wei, Suma Jacob, Melissa H. Potter, Nancy J. Cox, Edwin H. Cook, James S. Sutcliffe, Bingshan Li

Abstract

Autism spectrum disorder (ASD) is one of the most highly heritable neuropsychiatric disorders, but underlying molecular mechanisms are still unresolved due to extreme locus heterogeneity. Leveraging meaningful endophenotypes or biomarkers may be an effective strategy to reduce heterogeneity to identify novel ASD genes. Numerous lines of evidence suggest a link between hyperserotonemia, i.e., elevated serotonin (5-hydroxytryptamine or 5-HT) in whole blood, and ASD. However, the genetic determinants of blood 5-HT level and their relationship to ASD are largely unknown. In this study, pursuing the hypothesis that de novo variants (DNVs) and rare risk alleles acting in a recessive mode may play an important role in predisposition of hyperserotonemia in people with ASD, we carried out whole exome sequencing (WES) in 116 ASD parent-proband trios with most (107) probands having 5-HT measurements. Combined with published ASD DNVs, we identified USP15 as having recurrent de novo loss of function mutations and discovered evidence supporting two other known genes with recurrent DNVs (FOXP1 and KDM5B). Genes harboring functional DNVs significantly overlap with functional/disease gene sets known to be involved in ASD etiology, including FMRP targets and synaptic formation and transcriptional regulation genes. We grouped the probands into High-5HT and Normal-5HT groups based on normalized serotonin levels, and used network-based gene set enrichment analysis (NGSEA) to identify novel hyperserotonemia-related ASD genes based on LoF and missense DNVs. We found enrichment in the High-5HT group for a gene network module (DAWN-1) previously implicated in ASD, and this points to the TGF-β pathway and cell junction processes. Through analysis of rare recessively acting variants (RAVs), we also found that rare compound heterozygotes (CHs) in the High-5HT group were enriched for loci in an ASD-associated gene set. Finally, we carried out rare variant group-wise transmission disequilibrium tests (gTDT) and observed significant association of rare variants in genes encoding a subset of the serotonin pathway with ASD. Our study identified USP15 as a novel gene implicated in ASD based on recurrent DNVs. It also demonstrates the potential value of 5-HT as an effective endophenotype for gene discovery in ASD, and the effectiveness of this strategy needs to be further explored in studies of larger sample sizes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 20%
Student > Master 9 11%
Student > Ph. D. Student 9 11%
Researcher 6 7%
Other 4 5%
Other 8 9%
Unknown 32 38%
Readers by discipline Count As %
Psychology 13 15%
Biochemistry, Genetics and Molecular Biology 7 8%
Agricultural and Biological Sciences 7 8%
Medicine and Dentistry 6 7%
Nursing and Health Professions 4 5%
Other 13 15%
Unknown 35 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 May 2017.
All research outputs
#12,838,216
of 22,961,203 outputs
Outputs from Molecular Autism
#504
of 670 outputs
Outputs of similar age
#146,178
of 309,329 outputs
Outputs of similar age from Molecular Autism
#13
of 17 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 670 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.3. This one is in the 23rd percentile – i.e., 23% 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 309,329 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 52% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.