↓ Skip to main content

Genome-wide association study implicates NDST3 in schizophrenia and bipolar disorder

Overview of attention for article published in Nature Communications, November 2013
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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
6 news outlets
blogs
1 blog
twitter
33 tweeters
peer_reviews
1 peer review site
facebook
2 Facebook pages

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
109 Mendeley
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
Genome-wide association study implicates NDST3 in schizophrenia and bipolar disorder
Published in
Nature Communications, November 2013
DOI 10.1038/ncomms3739
Pubmed ID
Authors

Todd Lencz, Saurav Guha, Chunyu Liu, Jeffrey Rosenfeld, Semanti Mukherjee, Pamela DeRosse, Majnu John, Lijun Cheng, Chunling Zhang, Judith A. Badner, Masashi Ikeda, Nakao Iwata, Sven Cichon, Marcella Rietschel, Markus M. Nöthen, A.T.A. Cheng, Colin Hodgkinson, Qiaoping Yuan, John M. Kane, Annette T. Lee, Anne Pisanté, Peter K. Gregersen, Itsik Pe’er, Anil K. Malhotra, David Goldman, Ariel Darvasi

Abstract

Schizophrenia and bipolar disorder are major psychiatric disorders with high heritability and overlapping genetic variance. Here we perform a genome-wide association study in an ethnically homogeneous cohort of 904 schizophrenia cases and 1,640 controls drawn from the Ashkenazi Jewish population. We identify a novel genome-wide significant risk locus at chromosome 4q26, demonstrating the potential advantages of this founder population for gene discovery. The top single-nucleotide polymorphism (SNP; rs11098403) demonstrates consistent effects across 11 replication and extension cohorts, totalling 23, 191 samples across multiple ethnicities, regardless of diagnosis (schizophrenia or bipolar disorder), resulting in Pmeta=9.49 × 10(-12) (odds ratio (OR)=1.13, 95% confidence interval (CI): 1.08-1.17) across both disorders and Pmeta=2.67 × 10(-8) (OR=1.15, 95% CI: 1.08-1.21) for schizophrenia alone. In addition, this intergenic SNP significantly predicts postmortem cerebellar gene expression of NDST3, which encodes an enzyme critical to heparan sulphate metabolism. Heparan sulphate binding is critical to neurite outgrowth, axon formation and synaptic processes thought to be aberrant in these disorders.

Twitter Demographics

The data shown below were collected from the profiles of 33 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
India 1 <1%
United States 1 <1%
Unknown 106 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 23%
Researcher 20 18%
Student > Master 11 10%
Other 10 9%
Student > Bachelor 9 8%
Other 20 18%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 26%
Medicine and Dentistry 18 17%
Biochemistry, Genetics and Molecular Biology 17 16%
Neuroscience 8 7%
Chemistry 2 2%
Other 13 12%
Unknown 23 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 02 May 2019.
All research outputs
#297,111
of 15,690,347 outputs
Outputs from Nature Communications
#5,289
of 29,898 outputs
Outputs of similar age
#4,440
of 262,757 outputs
Outputs of similar age from Nature Communications
#83
of 598 outputs
Altmetric has tracked 15,690,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,898 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.2. This one has done well, scoring higher than 82% 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 262,757 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 598 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.