Large-scale metagenomic analysis of oral microbiomes reveals markers for autism spectrum disorders/Experiment 4
From BugSigDB
Needs review
Subjects
- Location of subjects
- United States of America
- Host species Species from which microbiome was sampled. Contact us to have more species added.
- Homo sapiens
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Saliva Sailva normalis,Saliva atomaris,Saliva molecularis,Salivary gland secretion,Saliva,saliva
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Cognitive impairment Abnormality of cognition,Cognitive abnormality,Cognitive defects,Cognitive deficits,Cognitive impairment,Intellectual impairment,cognitive impairment
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Low Intelligence Quotients(Low IQ ≤70)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- High Intelligence Quotients(High IQ > 85)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- High Intelligence Quotients(High IQ) was estimated from parent-reported data by an algorithm developed to estimate with high accuracy cognitive levels in large cohorts of ASD children. High IQ refers to intelligent quotients greater than 85.
- Group 0 sample size Number of subjects in the control (unexposed) group
- 413
- Group 1 sample size Number of subjects in the case (exposed) group
- 784
Lab analysis
- Sequencing type
- WMS
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- Not specified
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- centered log-ratio
- Statistical test
- Linear Regression
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- 0.2
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- Yes
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, sex
Signature 1
Needs review
Source: Fig. 3C, Supplementary Data 13
Description: Differentially abundant taxa in oral samples between Autism Spectrum Disorders children with Low IQ and High IQ
Abundance in Group 1: increased abundance in High Intelligence Quotients(High IQ > 85)
Revision editor(s): KateRasheed
Signature 2
Needs review
Source: Fig. 3C, Supplementary Data 13
Description: Differentially abundant taxa in oral samples between Autism Spectrum Disorders children with Low IQ and High IQ
Abundance in Group 1: decreased abundance in High Intelligence Quotients(High IQ > 85)
Revision editor(s): KateRasheed