Estimation of non-null SNP effect size distributions enables the detection of enriched genes underlying complex traits.
Traditional univariate genome-wide association studies generate false positives and negatives due to difficulties distinguishing associated variants from variants with spurious nonzero effects that do not directly influence the trait. Recent efforts have been directed at identifying genes or signali...
Guardado en:
Autores principales: | Wei Cheng, Sohini Ramachandran, Lorin Crawford |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2d111a8b08b84a2b92339b71397291b2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Multi-scale inference of genetic trait architecture using biologically annotated neural networks.
por: Pinar Demetci, et al.
Publicado: (2021) -
Natural variation in the regulation of neurodevelopmental genes modifies flight performance in Drosophila.
por: Adam N Spierer, et al.
Publicado: (2021) -
Association between the PLTP rs4810479 SNP and Serum Lipid Traits in the Chinese Maonan and Han Populations
por: Fen-Han Zhang, et al.
Publicado: (2021) -
Average semivariance yields accurate estimates of the fraction of marker-associated genetic variance and heritability in complex trait analyses.
por: Mitchell J Feldmann, et al.
Publicado: (2021) -
Haplotype associated RNA expression (HARE) improves prediction of complex traits in maize.
por: Anju Giri, et al.
Publicado: (2021)