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Commentary on "Limitations of GCTA as a solution to the missing heritability problem"

Jian Yang, Sang Hong Lee, Naomi R. Wray, Michael E. Goddard, Peter M Visscher
doi: https://doi.org/10.1101/036574
Jian Yang
The University of Queensland;
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Sang Hong Lee
University of New England;
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Naomi R. Wray
University of Queensland;
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Michael E. Goddard
University of Melbourne
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Peter M Visscher
University of Queensland;
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  • For correspondence: peter.visscher@uq.edu.au
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Abstract

In a recent publication entitled "Limitations of GCTA as a solution to the missing heritability problem" Krishna Kumar et al. (2015 PNAS) claim that "GCTA applied to current SNP data cannot produce reliable or stable estimates of heritability". Here we show that those claims are false and that results presented by Krishna Kumar et al. are in fact entirely consistent with and can be predicted from the theory underlying GCTA.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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  • Posted January 20, 2016.

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Commentary on "Limitations of GCTA as a solution to the missing heritability problem"
Jian Yang, Sang Hong Lee, Naomi R. Wray, Michael E. Goddard, Peter M Visscher
bioRxiv 036574; doi: https://doi.org/10.1101/036574
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Commentary on "Limitations of GCTA as a solution to the missing heritability problem"
Jian Yang, Sang Hong Lee, Naomi R. Wray, Michael E. Goddard, Peter M Visscher
bioRxiv 036574; doi: https://doi.org/10.1101/036574

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