Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
© 2018 The Author(s). 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 robus...
Format: | Article |
---|---|
Language: | English |
Published: |
Springer Science and Business Media LLC
2021
|
Online Access: | https://hdl.handle.net/1721.1/135026 |
Similar Items
-
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
by: Barbeira, A, et al.
Published: (2018) -
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
by: Hou, Lei, et al.
Published: (2022) -
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
by: Alvaro N. Barbeira, et al.
Published: (2018-05-01) -
Hernia GWAS summary statistics
by: Wiberg, A, et al.
Published: (2022) -
GWAS Explorer: an open-source tool to explore, visualize, and access GWAS summary statistics in the PLCO Atlas
by: Mitchell J. Machiela, et al.
Published: (2023-01-01)