| Author(s) |
Lee, Sang Hong
|
| Publication Date |
2015
|
| Abstract |
Golan et al. (1) report that restricted maximum likelihood (REML) seriously underestimates SNP heritability when using a case-control design. Their conclusions are based on results from simplified linkage equilibrium SNP simulation (SLES), which the authors acknowledge may be unrealistic. We simulated case-control data using the liability threshold model (1, 2), based on a real genome-wide association study (GWAS) of 800,000 SNPs from 64,000 samples, i.e., a genome-wide linkage disequilibrium SNP simulation (GLDS). Our simulation used a population disease risk of K = 0.01 and proportion of cases in the sample of P = 0.5 (therefore, there were 640 cases and 640 controls in the estimation analyses).
|
| Citation |
Proceedings of the National Academy of Sciences, 112(40), p. E5449-E5451
|
| ISSN |
1091-6490
0027-8424
|
| Link | |
| Language |
en
|
| Publisher |
National Academy of Sciences
|
| Title |
Implications of simplified linkage equilibrium SNP simulation
|
| Type of document |
Journal Article
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| Entity Type |
Publication
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