Estimation of SNP Heritability from Dense Genotype Data

Author(s)
Lee, Sang Hong
Yang, Jian
Wray, Naomi R
Chen, Guo-Bo
Ripke, Stephan
Stahl, Eli A
Hultman, Christina M
Sklar, Pamela
Visscher, Peter M
Sullivan, Patrick F
Goddard, Michael E
Publication Date
2013
Abstract
To the Editor: Recently, Speed et al. undertook a comprehensive and elegant evaluation of five key assumptions underlying the linear mixed model implemented in the program GCTA for estimation of SNP heritability. They concluded that the method is robust to violations of four of the assumptions. However, they found that SNP-heritability estimates were sensitive to uneven linkage disequilibrium (LD) between SNPs (implying uneven tagging of causal variants) and suggested an approach to improving the robustness of estimates in this context.
Citation
American Journal of Human Genetics, 93(6), p. 1151-1155
ISSN
1537-6605
0002-9297
Link
Language
en
Publisher
Cell Press
Title
Estimation of SNP Heritability from Dense Genotype Data
Type of document
Journal Article
Entity Type
Publication

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