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The Association of Genotype-Based Inbreeding Coefficient with a Range of Physical and Psychological Human Traits

Overview of attention for article published in PLOS ONE, July 2014
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
The Association of Genotype-Based Inbreeding Coefficient with a Range of Physical and Psychological Human Traits
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0103102
Pubmed ID
Authors

Karin J. H. Verweij, Abdel Abdellaoui, Juha Veijola, Sylvain Sebert, Markku Koiranen, Matthew C. Keller, Marjo-Riitta Järvelin, Brendan P. Zietsch

Abstract

Across animal species, offspring of closely related mates exhibit lower fitness, a phenomenon called inbreeding depression. Inbreeding depression in humans is less well understood because mating between close relatives is generally rare and stigmatised, confounding investigation of its effect on fitness-relevant traits. Recently, the availability of high-density genotype data has enabled quantification of variation in distant inbreeding in 'outbred' human populations, but the low variance of inbreeding detected from genetic data in most outbred populations means large samples are required to test effects, and only a few traits have yet been studied. However, it is likely that isolated populations, or those with a small effective population size, have higher variation in inbreeding and therefore require smaller sample sizes to detect inbreeding effects. With a small effective population size and low immigration, Northern Finland is such a population. We make use of a sample of ∼5,500 'unrelated' individuals in the Northern Finnish Birth Cohort 1966 with known genotypes and measured phenotypes across a range of fitness-relevant physical and psychological traits, including birth length and adult height, body mass index (BMI), waist-to-hip ratio, blood pressure, heart rate, grip strength, educational attainment, income, marital status, handedness, health, and schizotypal features. We find significant associations in the predicted direction between individuals' inbreeding coefficient (measured by proportion of the genome in runs of homozygosity) and eight of the 18 traits investigated, significantly more than the one or two expected by chance. These results are consistent with inbreeding depression effects on a range of human traits, but further research is needed to replicate and test alternative explanations for these effects.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
France 1 1%
Germany 1 1%
Australia 1 1%
Unknown 88 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 17%
Student > Master 14 15%
Student > Ph. D. Student 12 13%
Student > Bachelor 7 8%
Student > Doctoral Student 6 7%
Other 12 13%
Unknown 25 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 16%
Biochemistry, Genetics and Molecular Biology 12 13%
Psychology 12 13%
Medicine and Dentistry 9 10%
Social Sciences 6 7%
Other 10 11%
Unknown 28 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 August 2023.
All research outputs
#3,454,989
of 25,632,496 outputs
Outputs from PLOS ONE
#45,759
of 223,616 outputs
Outputs of similar age
#32,993
of 240,610 outputs
Outputs of similar age from PLOS ONE
#855
of 4,783 outputs
Altmetric has tracked 25,632,496 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 223,616 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 79% 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 240,610 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 86% of its contemporaries.
We're also able to compare this research output to 4,783 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.