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https://hdl.handle.net/1959.11/22074
Title: | Estimation of SNP Heritability from Dense Genotype Data | Contributor(s): | Lee, Sang Hong (author); Yang, Jian (author); Wray, Naomi R (author); Chen, Guo-Bo (author); Ripke, Stephan (author); Stahl, Eli A (author); Hultman, Christina M (author); Sklar, Pamela (author); Visscher, Peter M (author); Sullivan, Patrick F (author); Goddard, Michael E (author) | Publication Date: | 2013 | Open Access: | Yes | DOI: | 10.1016/j.ajhg.2013.10.015![]() |
Handle Link: | https://hdl.handle.net/1959.11/22074 | 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. | Publication Type: | Journal Article | Source of Publication: | American Journal of Human Genetics, 93(6), p. 1151-1155 | Publisher: | Cell Press | Place of Publication: | Houston, United States of America | ISSN: | 1537-6605 0002-9297 |
Fields of Research (FoR) 2008: | 060405 Gene Expression (incl. Microarray and other genome-wide approaches) | Fields of Research (FoR) 2020: | 310505 Gene expression (incl. microarray and other genome-wide approaches) | Socio-Economic Objective (SEO) 2008: | 920110 Inherited Diseases (incl. Gene Therapy) | Socio-Economic Objective (SEO) 2020: | 200101 Diagnosis of human diseases and conditions | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article |
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