eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects

Using information from allele-specific gene expression (ASE) can improve the power to map gene expression quantitative trait loci (eQTLs). However, such practice has been limited, partly due to computational challenges and lack of clarification on the size of power gain or new findings besides impro...

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Detalles Bibliográficos
Autores principales: Zhabotynsky, Vasyl, Huang, Licai, Little, Paul, Hu, Yi-Juan, Pardo-Manuel de Villena, Fernando, Zou, Fei, Sun, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947591/
https://www.ncbi.nlm.nih.gov/pubmed/35286297
http://dx.doi.org/10.1371/journal.pgen.1010076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947591/
https://www.ncbi.nlm.nih.gov/pubmed/35286297
http://dx.doi.org/10.1371/journal.pgen.1010076

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