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Table 6 Summary of four published microbiome studies included in meta-analysis

From: metamicrobiomeR: an R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models

Published study

Data origin (study population)

Study design/

Data used in meta-analysis

Sample size (for only infants ≤ 6 months of age)

Clinical variables used in meta-analysis

Target region of 16S rRNA genes /sequence platform

Starting files used and data processing done in this project

Subramanian et al. (2014). Persistent gut microbiota immaturity in malnourished Bangladeshi children [14]

Bangladeshb

Longitudinal gut microbiome data from stool samples collected monthly from birth to 6 months of age of 50 healthy Bangladeshi infants

(25 singletons, 11 twin pairs, 1 set of triplets).a

Number of samples: 322

(female =180, male =142)

Gender, feeding status (EBF, non-EBF, non-BF), infant age at sample collection

V4 /Illumina MiSeq

Assembled 16S reads used for OTU picking (.fna file), mapping and meta-data files.

- Open OTU picking with UCLUST with 97% similarity using the Greengenes database (version 13.8)

Bender et al. (2016). Maternal HIV infection influences the microbiome of HIV- uninfected infants [11]

Haiti

One time gut microbiome data from stool samples of 48 HIV negative infants with age varied from 0 to 6 months whose mothers were HIV negative (n = 25) or HIV positive (n = 23).

Number of samples: 48 (female =25, male =21)

Gender, feeding status (EBF, non-EBF), infant age at sample collection

V4 /Illumina MiSeq

Pannaraj et al. (2017). Association Between Breast Milk Bacterial Communities and Establishment and Development of the Infant Gut Microbiome [12]

USA (California and Florida)

Longitudinal gut microbiome data from stool samples of 113 healthy full-term infants collected at 0 to 7 days, 8 to 30 days, 31 to 90 days, 91 to 180 days.

Number of samples: 221 (female = 120, male = 101)

Gender, feeding status (EBF, non-EBF, non-BF), infant age at sample collection

V4 /Illumina MiSeq

Thompson et al. (2015). Milk- and solid-feeding practices and daycare attendance are associated with differences in bacterial diversity, predominant communities, and metabolic and immune function of the infant gut microbiome [35]

USA (North Carolina)

Longitudinal gut microbiome data from stool samples of 6 healthy full term infants with age varied from 0 to 6 months.

Number of samples: 21 (female = 14, male = 7)

Gender, feeding status (EBF, non-EBF, non-BF), infant age at sample collection

V1–2 /Roche GS FLX Titanium

  1. aThis healthy cohort was used as reference in the comparison with malnourished cohorts in the original published paper. bThe healthy cohort of this Bangladesh study also contain 674 stool samples > 6 months of age. The data of this healthy cohort were also used in the analyses comparing the performance of GAMLSS-BEZI (Generalized Additive Models for Location, Scale and Shape (GAMLSS) with a zero inflated beta (BEZI) family) vs. LMAS (linear model with arcsin squareroot transformation) in example 1, 2, 3 above. Data from this study was downloaded from the authors’ website: https://gordonlab.wustl.edu/Subramanian_6_14/Nature_2014_Processed_16S_rRNA_datasets.html. Data from three other studies were obtained directly from the investigators. EBF: exclusive breastfeeding; non-EBF: non-exclusive breastfeeding; non-BF: non-breastfeeding