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Dominance Genetic Variation Contributes Little to the Missing Heritability for Human Complex Traits

Overview of attention for article published in American Journal of Human Genetics, February 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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1 news outlet
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39 X users
wikipedia
1 Wikipedia page

Citations

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193 Dimensions

Readers on

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239 Mendeley
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4 CiteULike
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Title
Dominance Genetic Variation Contributes Little to the Missing Heritability for Human Complex Traits
Published in
American Journal of Human Genetics, February 2015
DOI 10.1016/j.ajhg.2015.01.001
Pubmed ID
Authors

Zhihong Zhu, Andrew Bakshi, Anna A.E. Vinkhuyzen, Gibran Hemani, Sang Hong Lee, Ilja M. Nolte, Jana V. van Vliet-Ostaptchouk, Harold Snieder, The LifeLines Cohort Study, Tonu Esko, Lili Milani, Reedik Mägi, Andres Metspalu, William G. Hill, Bruce S. Weir, Michael E. Goddard, Peter M. Visscher, Jian Yang

Abstract

For human complex traits, non-additive genetic variation has been invoked to explain "missing heritability," but its discovery is often neglected in genome-wide association studies. Here we propose a method of using SNP data to partition and estimate the proportion of phenotypic variance attributed to additive and dominance genetic variation at all SNPs (hSNP(2) and δSNP(2)) in unrelated individuals based on an orthogonal model where the estimate of hSNP(2) is independent of that of δSNP(2). With this method, we analyzed 79 quantitative traits in 6,715 unrelated European Americans. The estimate of δSNP(2) averaged across all the 79 quantitative traits was 0.03, approximately a fifth of that for additive variation (average hSNP(2) = 0.15). There were a few traits that showed substantial estimates of δSNP(2), none of which were replicated in a larger sample of 11,965 individuals. We further performed genome-wide association analyses of the 79 quantitative traits and detected SNPs with genome-wide significant dominance effects only at the ABO locus for factor VIII and von Willebrand factor. All these results suggest that dominance variation at common SNPs explains only a small fraction of phenotypic variation for human complex traits and contributes little to the missing narrow-sense heritability problem.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Australia 1 <1%
France 1 <1%
Poland 1 <1%
Unknown 232 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 25%
Researcher 46 19%
Student > Master 19 8%
Student > Postgraduate 15 6%
Student > Bachelor 13 5%
Other 43 18%
Unknown 44 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 37%
Biochemistry, Genetics and Molecular Biology 48 20%
Medicine and Dentistry 17 7%
Psychology 10 4%
Social Sciences 4 2%
Other 18 8%
Unknown 53 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 16 July 2023.
All research outputs
#1,227,519
of 26,017,215 outputs
Outputs from American Journal of Human Genetics
#665
of 6,012 outputs
Outputs of similar age
#16,890
of 373,463 outputs
Outputs of similar age from American Journal of Human Genetics
#10
of 58 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,012 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 88% 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 373,463 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 95% of its contemporaries.
We're also able to compare this research output to 58 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.