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PRJNA353560 SRP093506

Gut microbiome in ankylosing spondylitis, China

Human gut microbiome in AS

97 fecal samples from Chinese individuals with ankylosing spondylitis, part of a case-control shotgun metagenomics study comparing patients (97) and healthy controls (104) to identify differentially abundant genes and metagenomic species. machine-written summary

97 samples · 97 runs · CN · Age unknown · 2016 · 4.13 Gbp / sample · cohort Quantitative metagenomics reveals unique gut micro

Sources
✓Sequence archive 582○Abstract / description○Full text✓Supplementary tables 290–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive582 sample values (collection date, country, health condition, health condition detail, latitude, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC5530561
✓ Supplementary tables290 sample values (age, bmi, sex)
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 sampling locations · 1 country
Age
adult93
adolescent3
elderly1
Condition
autoimmune_inflammatory97
Sex
male57
female40
Country
CN97
Body site
primary97
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 4 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 93 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 4.13 Gbp per sample0130Gbp
Community composition
Phocaeicola 22.6%Prevotella 13.0%Bacteroides 11.2%Faecalibacterium 10.1%Lachnospira 3.3%Roseburia 3.0%Alistipes 2.8%Bifidobacterium 2.0%Ruminococcoides 1.5%Megamonas 1.5%Blautia_A 1.4%Gemmiger 1.2%not assigned to a genus 4.6%other genera 21.8%

Genera, mean relative abundance over 89 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category97 100%
country97 100%97
health_condition97 100%97
subject_id0 0%
age_at_collection_days97 100%97
collection_date97 100%97
health_condition_detail97 100%97
latitude97 100%97
longitude97 100%97
sex97 100%97
bmi96 99%96
Papers (1)
  • Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis. 2017 PMID 28750650 PMC5530561 own_data
Details
Archive description

To reveal the relationship between the gut microbiome and ankylosing spondylitis, a quantitative metagenomics study that was based on deep shotgun sequencing of the gut microbial DNA from 211 Chinese individuals (97 patients and 104 healthy controls) was carried out. A total of 23,709 genes and 16 metagenomic species that were differentially abundant in the two groups were identified.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.72. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host study.title · “Human gut microbiome in AS”
  • body site study.description · “gut microbial DNA from 211 Chinese individuals”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN06016327age_at_collection_days14975.0R20.85paper.supp.13059_2017_1271_MOESM1_ESM.xlsx[Table S1!Age]AS100: 41
SAMN06016327bmi19.72R20.85paper.supp.13059_2017_1271_MOESM1_ESM.xlsx[Table S1!BMI (kg/m2)]AS100: 19.721036967980208
SAMN06016327collection_date2015-04R10.90biosample.attribute:collection_date2015-04
SAMN06016327countryCNR10.90sample.attr.geo_loc_nameChina
SAMN06016327health_conditionautoimmune_inflammatoryR10.85biosample.attribute:env_featureenv_feature: ankylosing spondylitis patient
SAMN06016327health_condition_detailankylosing spondylitis patientR10.85biosample.attribute:env_featureenv_feature: ankylosing spondylitis patient
SAMN06016327latitude30.3000R10.90biosample.attribute:lat_lon30.3 N 120.2 E
SAMN06016327longitude120.2000R10.90biosample.attribute:lat_lon30.3 N 120.2 E
SAMN06016327sexmaleR20.85paper.supp.13059_2017_1271_MOESM1_ESM.xlsx[Table S1!Gender]AS100: M
Sequencing

97 runs over 97 samples · mean 4.37 Gbp per run (median 4.13 Gbp, total 423.78 Gbp; 97 runs with a base count) · layout PAIRED 97 · platform ILLUMINA 97 · models Illumina HiSeq 2000 (97) · 92% of runs with a Sandpiper profile · first public 2016-11-25

Authors (0)

No author record.

Downloads

PRJNA353560.csv.gz (3.9 KB) · parquet (75.0 KB) — all 97 samples, every field with route and confidence · PRJNA353560_determinations.csv.gz (8.0 KB) — 872 evidence rows

Samples (97 · every field this project has values for · hover a cell for its source)
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