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Accounting for heteroscedasticity and censoring in chromosome partitioning analyses
A fundamental assumption in quantitative genetics is that traits are controlled by many loci of small effect. Using genomic data, this assumption can be tested using chromosome partitioning analyses, where the proportion of genetic variance for a trait explained by each chromosome (h(2)(c)), is regr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292708/ https://www.ncbi.nlm.nih.gov/pubmed/30564443 http://dx.doi.org/10.1002/evl3.88 |