HOMINID: a framework for identifying associations between host genetic variation and microbiome composition

HOMINID: a framework for identifying associations between host genetic variation and microbiome composition

Recent studies have uncovered a strong effect of host genetic variation on the composition of host-associated microbiota. Here, we present HOMINID, a computational approach based on Lasso linear regression, that given host genetic variation and microbiome taxonomic composition data, identifies host...

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Bibliographic Details
Main Authors: Lynch, Joshua, Tang, Karen, Priya, Sambhawa, Sands, Joanna, Sands, Margaret, Tang, Evan, Mukherjee, Sayan, Knights, Dan, Blekhman, Ran
Other Authors: Univ Arizona, Dept Agr & Biosyst Engn
Language:en
Published: OXFORD UNIV PRESS 2017
Subjects:
microbiome
host genetics
association
machine learning
Online Access:http://hdl.handle.net/10150/626556
http://arizona.openrepository.com/arizona/handle/10150/626556

Internet

http://hdl.handle.net/10150/626556
http://arizona.openrepository.com/arizona/handle/10150/626556

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