Author reply to A commentary on Pitfalls of predicting complex traits from SNPs

Wray, Naomi R., Yang, Jian, Hayes, Ben J., Price, Alkes L., Goddard, Michael E. and Visscher, Peter M. (2013) Author reply to A commentary on Pitfalls of predicting complex traits from SNPs. Nature Reviews Genetics, 14 12: 894-894. doi:10.1038/nrg3457-c2

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Author Wray, Naomi R.
Yang, Jian
Hayes, Ben J.
Price, Alkes L.
Goddard, Michael E.
Visscher, Peter M.
Title Author reply to A commentary on Pitfalls of predicting complex traits from SNPs
Formatted title
Author reply to A commentary on Pitfalls of predicting complex traits from SNPs
Journal name Nature Reviews Genetics   Check publisher's open access policy
ISSN 1471-0056
1471-0064
Publication date 2013-12-01
Sub-type Discussion - responses, round table/panel discussions, Q&A, reply
DOI 10.1038/nrg3457-c2
Open Access Status File (Author Post-print)
Volume 14
Issue 12
Start page 894
End page 894
Total pages 1
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Language eng
Formatted abstract
Following our recent Opinion article (Pitfalls of predicting complex traits from SNPs. Nature Rev. Genet. 14, 507–515 (2013)), we received correspondence by de los Campos and Sorensen (A commentary on Pitfalls of predicting complex traits from SNPs. Nature Rev. Genet. 14, 894 (2013)). We thank them for their comments, which follows their recent work. de los Campos and Sorensen agree that maximum prediction accuracy depends on h2M, which is defined as the variance explained by genotyped markers in the population. They claim that estimates of h2M in a finite sample (h2G-BLUP or h2G) may overestimate h2M, and that this is exacerbated for unrelated individuals. We respond by showing how and why we disagree with these claims...
Q-Index Code CX
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Discussion - responses, round table/panel discussions, Q&A, reply
Collections: Non HERDC
Queensland Brain Institute Publications
UQ Diamantina Institute Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
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Created: Tue, 18 Mar 2014, 22:43:37 EST by Debra McMurtrie on behalf of Queensland Brain Institute