Network-Based Functional Prediction Augments Genetic Association To Predict Candidate Genes for Histamine Hypersensitivity in Mice

Network-Based Functional Prediction Augments Genetic Association To Predict Candidate Genes for Histamine Hypersensitivity in Mice

Genetic mapping is a primary tool of genetics in model organisms; however, many quantitative trait loci (QTL) contain tens or hundreds of positional candidate genes. Prioritizing these genes for validation is often ad hoc and biased by previous findings. Here we present a technique for prioritizing...

Full description

Bibliographic Details
Main Authors: Anna L. Tyler, Abbas Raza, Dimitry N. Krementsov, Laure K. Case, Rui Huang, Runlin Z. Ma, Elizabeth P. Blankenhorn, Cory Teuscher, J. Matthew Mahoney
Format: Article
Language:English
Published: Oxford University Press 2019-12-01
Series:G3: Genes, Genomes, Genetics
Subjects:
gene prioritization
machine learning
quantitative trait locus
histamine hypersensitivity
clarkson’s disease
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.119.400740

Internet

http://g3journal.org/lookup/doi/10.1534/g3.119.400740

Similar Items