Exploiting Single-Cell Quantitative Data to Map Genetic Variants Having Probabilistic Effects

Despite the recent progress in sequencing technologies, genome-wide association studies (GWAS) remain limited by a statistical-power issue: many polymorphisms contribute little to common trait variation and therefore escape detection. The small contribution sometimes corresponds to incomplete penetr...

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Detalles Bibliográficos
Autores principales: Chuffart, Florent, Richard, Magali, Jost, Daniel, Burny, Claire, Duplus-Bottin, Hélène, Ohya, Yoshikazu, Yvert, Gaël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4968810/
https://www.ncbi.nlm.nih.gov/pubmed/27479122
http://dx.doi.org/10.1371/journal.pgen.1006213

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4968810/
https://www.ncbi.nlm.nih.gov/pubmed/27479122
http://dx.doi.org/10.1371/journal.pgen.1006213

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