↓ Skip to main content

Additive Genetic Variation in Schizophrenia Risk Is Shared by Populations of African and European Descent

Overview of attention for article published in American Journal of Human Genetics, September 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
90 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
Additive Genetic Variation in Schizophrenia Risk Is Shared by Populations of African and European Descent
Published in
American Journal of Human Genetics, September 2013
DOI 10.1016/j.ajhg.2013.07.007
Pubmed ID
Authors

Teresa R. de Candia, S. Hong Lee, Jian Yang, Brian L. Browning, Pablo V. Gejman, Douglas F. Levinson, Bryan J. Mowry, John K. Hewitt, Michael E. Goddard, Michael C. O’Donovan, Shaun M. Purcell, Danielle Posthuma, Peter M. Visscher, Naomi R. Wray, Matthew C. Keller

Abstract

To investigate the extent to which the proportion of schizophrenia's additive genetic variation tagged by SNPs is shared by populations of European and African descent, we analyzed the largest combined African descent (AD [n = 2,142]) and European descent (ED [n = 4,990]) schizophrenia case-control genome-wide association study (GWAS) data set available, the Molecular Genetics of Schizophrenia (MGS) data set. We show how a method that uses genomic similarities at measured SNPs to estimate the additive genetic correlation (SNP correlation [SNP-rg]) between traits can be extended to estimate SNP-rg for the same trait between ethnicities. We estimated SNP-rg for schizophrenia between the MGS ED and MGS AD samples to be 0.66 (SE = 0.23), which is significantly different from 0 (p(SNP-rg = 0) = 0.0003), but not 1 (p(SNP-rg = 1) = 0.26). We re-estimated SNP-rg between an independent ED data set (n = 6,665) and the MGS AD sample to be 0.61 (SE = 0.21, p(SNP-rg = 0) = 0.0003, p(SNP-rg = 1) = 0.16). These results suggest that many schizophrenia risk alleles are shared across ethnic groups and predate African-European divergence.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Brazil 1 1%
United Kingdom 1 1%
Luxembourg 1 1%
Italy 1 1%
Unknown 84 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 14 16%
Student > Master 12 13%
Student > Bachelor 8 9%
Student > Postgraduate 8 9%
Other 28 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 22%
Medicine and Dentistry 16 18%
Biochemistry, Genetics and Molecular Biology 12 13%
Psychology 9 10%
Unspecified 8 9%
Other 25 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 September 2018.
All research outputs
#1,781,123
of 12,225,951 outputs
Outputs from American Journal of Human Genetics
#1,221
of 4,370 outputs
Outputs of similar age
#22,476
of 148,674 outputs
Outputs of similar age from American Journal of Human Genetics
#29
of 57 outputs
Altmetric has tracked 12,225,951 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,370 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 72% 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 148,674 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.