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Improved estimation of SNP heritability using Bayesian multiple-phenotype models
Linear mixed models (LMM) are widely used to estimate narrow sense heritability explained by tagged single-nucleotide polymorphisms (SNPs). However, those estimates are valid only if large sample sizes are used. We propose a Bayesian covariance component model (BCCM) that takes into account the gene...
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| Опубликовано в: : | Eur J Hum Genet |
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| Главный автор: | |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer International Publishing
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5945852/ https://ncbi.nlm.nih.gov/pubmed/29440776 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41431-018-0100-z |
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