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PRJNA1422633 SRP676460

Gut metagenomes in diabetes and cirrhosis, South Korea

Interpretable machine learning reveals pathoadaptive strain-level functional reprogramming of gut commensals in patients with diabetes and cirrhosis

149 gut metagenome samples from South Korea, studied with a case-control design to examine strain-level functional changes in gut commensals associated with diabetes and cirrhosis. machine-written summary

149 samples · 149 runs · KR · Age unknown · 2026 · 7.81 Gbp / sample

Sources
✓Sequence archive 298✓Abstract / description 149–Full text–Supplementary tables–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive298 sample values (collection date, country)
✓ Abstract / description149 sample values (health condition detail)
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
unknown149
Country
KR149
Body site
primary149
Collected 2017–2020
2017: 53 samples2018: 52 samples2019: 7 samples2020: 37 samples20172020
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 %)this project, 0.3–1 Gbp: 1 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 13 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 83 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 52 samplesall 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 7.81 Gbp per sample0130Gbp
Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country149 100%149
health_condition0 0%
subject_id0 0%
collection_date149 100%149
health_condition_detail149 100%149
Details
How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.70. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN61595492collection_date2018R10.90biosample.attribute:collection_date2018
SAMN61595492countryKRR10.90sample.attr.geo_loc_nameSouth Korea
SAMN61595492health_condition_detailmixed_case_control: diabetes and cirrhosis patients vs controlsR40.50study.titlepatients with diabetes and cirrhosis
Sequencing

149 runs over 149 samples · mean 8.49 Gbp per run (median 7.81 Gbp, total 1,265.62 Gbp; 149 runs with a base count) · layout PAIRED 149 · platform ILLUMINA 149 · models Illumina NovaSeq 6000 (149) · 0% of runs with a Sandpiper profile · first public 2026-07-16 – 2026-07-17

Authors (0)

No author record.

Help complete this project

3 of the 4 core fields are below 50% coverage: age_category, health_condition, subject_id. Share metadata

Downloads

PRJNA1422633.csv.gz (4.4 KB) · parquet (74.8 KB) — all 149 samples, every field with route and confidence · PRJNA1422633_determinations.csv.gz (2.5 KB) — 447 evidence rows

Samples (149 · every field this project has values for · hover a cell for its source)
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