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Association Between Autozygosity and Major Depression: Stratification Due to Religious Assortment

Overview of attention for article published in Behavior Genetics, August 2013
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 blog
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7 X users
wikipedia
2 Wikipedia pages

Citations

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34 Dimensions

Readers on

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89 Mendeley
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1 CiteULike
Title
Association Between Autozygosity and Major Depression: Stratification Due to Religious Assortment
Published in
Behavior Genetics, August 2013
DOI 10.1007/s10519-013-9610-1
Pubmed ID
Authors

Abdel Abdellaoui, Jouke-Jan Hottenga, Xiangjun Xiao, Paul Scheet, Erik A. Ehli, Gareth E. Davies, James J. Hudziak, Dirk J. A. Smit, Meike Bartels, Gonneke Willemsen, Andrew Brooks, Patrick F. Sullivan, Johannes H. Smit, Eco J. de Geus, Brenda W. J. H. Penninx, Dorret I. Boomsma

Abstract

The effects of inbreeding on the health of offspring can be studied by measuring genome-wide autozygosity as the proportion of the genome in runs of homozygosity (F roh) and relate F roh to outcomes such as psychiatric phenotypes. To successfully conduct these studies, the main patterns of variation for genome-wide autozygosity between and within populations should be well understood and accounted for. Within population variation was investigated in the Dutch population by comparing autozygosity between religious and non-religious groups. The Netherlands have a history of societal segregation and assortment based on religious affiliation, which may have increased parental relatedness within religious groups. Religion has been associated with several psychiatric phenotypes, such as major depressive disorder (MDD). We investigated whether there is an association between autozygosity and MDD, and the extent to which this association can be explained by religious affiliation. All F roh analyses included adjustment for ancestry-informative principal components (PCs) and geographic factors. Religious affiliation was significantly associated with autozygosity, showing that F roh has the ability to capture within population differences that are not captured by ancestry-informative PCs or geographic factors. The non-religious group had significantly lower F roh values and significantly more MDD cases, leading to a nominally significant negative association between autozygosity and depression. After accounting for religious affiliation, MDD was not associated with F roh, indicating that the relation between MDD and inbreeding was due to stratification. This study shows how past religious assortment and recent secularization can have genetic consequences in a relatively small country. This warrants accounting for the historical social context and its effects on genetic variation in association studies on psychiatric and other related traits.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 87 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 19%
Researcher 14 16%
Student > Bachelor 13 15%
Student > Master 12 13%
Professor 7 8%
Other 17 19%
Unknown 9 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 28%
Biochemistry, Genetics and Molecular Biology 14 16%
Psychology 11 12%
Medicine and Dentistry 6 7%
Neuroscience 6 7%
Other 11 12%
Unknown 16 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 26 September 2023.
All research outputs
#2,487,015
of 25,550,333 outputs
Outputs from Behavior Genetics
#129
of 972 outputs
Outputs of similar age
#20,913
of 211,637 outputs
Outputs of similar age from Behavior Genetics
#3
of 13 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 972 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 86% 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 211,637 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 90% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.