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Multigroup analysis of compositions of microbiomes with covariate adjustments and repeated measures.
Lin, Huang; Peddada, Shyamal Das.
Afiliação
  • Lin H; Biostatistics and Computational Biology Branch, NIEHS, NIH, Research Triangle Park, NC, USA.
  • Peddada SD; Department of Epidemiology and Biostatistics, University of Maryland, College Park, MD, USA.
Nat Methods ; 21(1): 83-91, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38158428
ABSTRACT
Microbiome differential abundance analysis methods for two groups are well-established in the literature. However, many microbiome studies involve more than two groups, sometimes even ordered groups such as stages of a disease, and require different types of comparison. Standard pairwise comparisons are inefficient in terms of power and false discovery rates. In this Article, we propose a general framework, ANCOM-BC2, for performing a wide range of multigroup analyses with covariate adjustments and repeated measures. We illustrate our methodology through two real datasets. The first example explores the effects of aridity on the soil microbiome, and the second example investigates the effects of surgical interventions on the microbiome of patients with inflammatory bowel disease.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Microbiota Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Microbiota Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article