RT Journal Article SR Electronic T1 HOMINID: A framework for identifying associations between host genetic variation and microbiome composition JF bioRxiv FD Cold Spring Harbor Laboratory SP 081323 DO 10.1101/081323 A1 Joshua Lynch A1 Karen Tang A1 Joanna Sands A1 Margaret Sands A1 Evan Tang A1 Sayan Mukherjee A1 Dan Knights A1 Ran Blekhman YR 2016 UL http://biorxiv.org/content/early/2016/10/17/081323.abstract AB Summary 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 composition data, identifies host SNPs that are correlated with microbial taxa abundances. By using HOMINID on data from the Human Microbiome Project, we identified 2,127 human SNPs in which genetic variation is correlated with microbiome taxonomic composition in 15 body sites. We also present a tool for visualization of host-microbiome association network identified in HOMINID.Availability and implementation Software and code are available at https://github.com/blekhmanlab/hominid, online visualization tool at http://z.umn.edu/genemicrobe.Contact blekhman{at}umn.eduSupplementary information Supplementary data are available at Bioinformatics online