Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Scalable, integrative methods to understand mechanisms that link genetic variants with phenotypes are needed. Here we derive a mathematical expression to compute PrediXcan (a gene mapping approach) results using summary data (S-PrediXcan) and show its accuracy and general robustness to misspecified...

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Detalles Bibliográficos
Autores principales: Barbeira, Alvaro N., Dickinson, Scott P., Bonazzola, Rodrigo, Zheng, Jiamao, Wheeler, Heather E., Torres, Jason M., Torstenson, Eric S., Shah, Kaanan P., Garcia, Tzintzuni, Edwards, Todd L., Stahl, Eli A., Huckins, Laura M., Nicolae, Dan L., Cox, Nancy J., Im, Hae Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940825/
https://www.ncbi.nlm.nih.gov/pubmed/29739930
http://dx.doi.org/10.1038/s41467-018-03621-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940825/
https://www.ncbi.nlm.nih.gov/pubmed/29739930
http://dx.doi.org/10.1038/s41467-018-03621-1

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