Skip to main content

Table 1 Overview of diseases and datasets included in the ML meta-analysis

From: Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox

Disease Disease abbr. Datasets Data type
Ankylosing spondylitis AS [7] Shotgun
Rheumatoid arthritis ART [25] 16S rRNA
[6] Shotgun
Type 1 diabetes T1D [26] 16S rRNA
Crohn’s disease CD [5, 27,28,29,30] Shotgun
Ulcerative colitis UC [5, 27, 30] Shotgun
Inflammatory bowel disease IBD [4, 31,32,33] 16S rRNA
Colorectal cancer CRC [8, 34,35,36,37,38,39] Shotgun
[8, 40,41,42] 16S rRNA
Advanced colorectal adenoma(s) ADA [8, 34, 38, 39] Shotgun
Atherosclerotic cardiovascular disease ACVD [43] Shotgun
Hypertension
Pre-hypertension
HT
pHT
[44] Shotgun
Clostridioides difficile infection CDI [45, 46] 16S rRNA
Enteric diarrheal disease EDD [47] 16S rRNA
HIV infection HIV [48,49,50] 16S rRNA
Liver cirrhosis LIV [51] Shotgun
[52] 16S rRNA
Non-alcoholic fatty liver disease NAFLD [53, 54] Shotgun
[55, 56] 16S rRNA
Parkinson’s disease PAR [57] Shotgun
[58] 16S rRNA
Autism spectrum disorder ASD [59, 60] 16S rRNA
Obesity OB [61] Shotgun
[62,63,64,65] 16S rRNA
Metabolic syndrome MS [66] Shotgun
Type 2 diabetes T2D [67, 68] Shotgun
Impaired glucose tolerance IGT [67] Shotgun