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A General Unified Framework to Assess the Sampling Variance of Heritability Estimates Using Pedigree or Marker-Based Relationships

Overview of attention for article published in Genetics, October 2014
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Title
A General Unified Framework to Assess the Sampling Variance of Heritability Estimates Using Pedigree or Marker-Based Relationships
Published in
Genetics, October 2014
DOI 10.1534/genetics.114.171017
Pubmed ID
Authors

Peter M. Visscher, Michael E. Goddard

Abstract

Heritability is a population parameter of importance in evolution, plant and animal breeding and human medical genetics. It can be estimated using pedigree designs and, more recently, using relationships estimated from markers. We derive the sampling variance of the estimate of heritability for a wide range of experimental designs, assuming that estimation is by maximum likelihood and that the resemblance between relatives is solely due to additive genetic variation. We show that well-known results for balanced designs are special cases of a more general unified framework. For pedigree designs the sampling variance is inversely proportional to the variance of relationship in the pedigree and it is proportional to 1/N whereas for population samples it is approximately proportional to 1/N(2) where N is the sample size. Variation in relatedness is a key parameter in the quantification of the sampling variance of heritability. Consequently, the sampling variance is high for populations with large recent effective population size (e.g. humans) because this causes low variation in relationship. However, even using human population samples, low sampling variance is possible with high N.

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Mendeley readers

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 States 3 3%
Australia 1 <1%
Brazil 1 <1%
France 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Spain 1 <1%
Mexico 1 <1%
Unknown 99 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 33%
Student > Ph. D. Student 18 17%
Student > Master 10 9%
Student > Doctoral Student 9 8%
Student > Postgraduate 7 6%
Other 17 16%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 49%
Biochemistry, Genetics and Molecular Biology 10 9%
Computer Science 7 6%
Medicine and Dentistry 6 6%
Environmental Science 4 4%
Other 11 10%
Unknown 18 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 July 2015.
All research outputs
#15,516,483
of 25,371,288 outputs
Outputs from Genetics
#5,650
of 7,401 outputs
Outputs of similar age
#141,230
of 274,536 outputs
Outputs of similar age from Genetics
#60
of 68 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,401 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. 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 274,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.