Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity.

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Bibliographic Details
Title: Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity.
Authors: Liu H; Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA.; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA., Ling W; Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, 10065, USA., Hua X; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA., Moon JY; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA., Williams-Nguyen JS; Institute for Research and Education to Advance Community Health, Washington State University, Seattle, WA, 98101, USA., Zhan X; Department of Biostatistics and Beijing International Center for Mathematical Research, Peking University, Beijing, 100191, China., Plantinga AM; Department of Mathematics and Statistics, Williams College, Williamstown, MA, 01267, USA., Zhao N; Department of Biostatistics, Johns Hopkins University, Baltimore, MD, 21205, USA., Zhang A; Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA.; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA., Knight R; Departments of Pediatrics, Computer Science & Engineering, and Bioengineering; Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, 92093, USA., Qi Q; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA., Burk RD; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.; Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology & Women's Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA., Kaplan RC; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA., Wu MC; Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA. mcwu@fredhutch.org.; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA. mcwu@fredhutch.org.
Source: Microbiome [Microbiome] 2023 Apr 20; Vol. 11 (1), pp. 80. Date of Electronic Publication: 2023 Apr 20.
Publication Type: Video-Audio Media; Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101615147 Publication Model: Electronic Cited Medium: Internet ISSN: 2049-2618 (Electronic) Linking ISSN: 20492618 NLM ISO Abbreviation: Microbiome Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2049-2618
DOI:10.1186/s40168-023-01530-0