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PRJNA1195215 SRP550926

Gut metagenome in dyslipidemia, Seoul, South Korea

Human gut metagenome

1,710 gut metagenome samples from Seoul, South Korea, examined in a cross-sectional study comparing dyslipidemia cases with controls, focusing on microbiota composition, metabolic pathways, and antibiotic resistance genes. machine-written summary

1,710 samples · 1,710 runs · KR · Age unknown · 2025 · 6.11 Gbp / sample

Sources
✓Sequence archive 10,260✓Abstract / description 1,710○Full text✓Supplementary tables 2,810–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive10,260 sample values (collection date, country, latitude, location locality, location region, longitude)
✓ Abstract / description1,710 sample values (health condition detail)
○ Full textread; no usable statement or table · PMC12710354, PMC13055376
✓ Supplementary tables2,810 sample values (age, health condition, sex)
– 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 sampling locations · 1 country
Age
unknown1,668
adult38
elderly4
Condition
cardiometabolic_other895
healthy_control489
Sex
male931
female453
Country
KR1,710
Body site
primary1,710
Collected 2014–2021
2014: 1,150 samples2018: 1 samples2019: 15 samples2020: 440 samples2021: 104 samples20142021
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: 3 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 1,671 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 36 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 6.11 Gbp per sample0130Gbp
Community composition
Prevotella 19.8%Phocaeicola 13.9%Bacteroides 8.0%Faecalibacterium 7.0%Alistipes 3.0%Roseburia 2.8%Bifidobacterium 1.6%Lachnospira 1.5%Parabacteroides 1.4%Acetatifactor 1.2%Alloprevotella 1.1%Gemmiger 1.0%not assigned to a genus 4.7%other genera 33.0%

Genera, mean relative abundance over 1,700 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category42 2%
country1,710 100%1,710
health_condition1,384 81%1,384
subject_id0 0%
collection_date1,710 100%1,710
detailed_location1,710 100%
health_condition_detail1,710 100%1,710
latitude1,710 100%1,710
location_locality1,710 100%1,710
location_region1,710 100%1,710
longitude1,710 100%1,710
sex1,384 81%1,384
age_at_collection_days42 2%42
Papers (2)
  • Metagenome-assembled genomes reveal microbial signatures and metabolic pathways linked to coronary artery disease. 2025 PMID 41196050 PMC12710354 own_data
  • Gut microbial community structure, metabolic signature, and resistome in dyslipidemia: implications for cardiovascular disease management. 2026 PMID 41778788 PMC13055376 own_data
Details
Archive description

Human gut metagenome

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
SAMN45212064age_at_collection_days22646R20.85paper.supp.msystems.00954-25-s0002.xlsx[Table S2!age]62
SAMN45212064collection_date2014-07R10.90biosample.attribute:collection_date2014-07
SAMN45212064countryKRR10.90sample.attr.geo_loc_nameSouth Korea:Seoul
SAMN45212078health_conditionhealthy_controlR20.85paper.supp.spectrum.00971-25-s0001.xlsx[Table S21!Group]Control
SAMN45212064health_condition_detailmixed_case_control: 895 dyslipidemia patients vs 489 healthy controlsR40.40paper.abstract895 individuals with dyslipidemia and 489 controls
SAMN45212064latitude37.5700R10.90biosample.attribute:lat_lon37.57 N 126.97 E
SAMN45212064location_localitySeoulR10.85biosample.attribute:geo_loc_nameSouth Korea:Seoul
SAMN45212064location_regionSeoulR10.60biosample.attribute:lat_lon37.57 N 126.97 E
SAMN45212064longitude126.9700R10.90biosample.attribute:lat_lon37.57 N 126.97 E
SAMN45212078sexmaleR20.85paper.supp.spectrum.00971-25-s0001.xlsx[Table S21!sex]Male
Sequencing

1,710 runs over 1,710 samples · mean 6.28 Gbp per run (median 6.11 Gbp, total 10,738.20 Gbp; 1,710 runs with a base count) · layout SINGLE 1,710 · platform ILLUMINA 1,710 · models Illumina NovaSeq 6000 (1,710) · 99% of runs with a Sandpiper profile · first public 2025-10-23 – 2025-11-23

Authors (9)

Lee S first · Raza S · Lee EJ · Chang Y · Ryu S · Kim HL · Kang SH · Kim HN last · Cho J

Help complete this project

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

Downloads

PRJNA1195215.csv.gz (42.2 KB) · parquet (135.5 KB) — all 1,710 samples, every field with route and confidence · PRJNA1195215_determinations.csv.gz (82.5 KB) — 14,780 evidence rows

Samples (1,710 · every field this project has values for · hover a cell for its source)
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