Home › Studies › PRJNA509999
PRJNA509999 SRP173418

Gut metagenomes of Yi, Tibetan groups & hypertension, China

Gut metagenomes of Yi and Tibetan population and hypertension patients in China

Cross-sectional study of 143 gut metagenome samples from Tibet, Liangshan, and Sichuan, China, comparing Yi and Tibetan populations, including 93 healthy controls and 50 with cardiometabolic conditions. machine-written summary

143 samples · 143 runs · CN · Age unknown · 2021 · 11.56 Gbp / sample

Sources
✓Sequence archive 1,004○Abstract / description–Full text–Supplementary tables✓External resources 186–User contribution–Human verified

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

what each source gave
✓ Sequence archive1,004 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
✓ External resources186 sample values (health condition, health condition detail) · from GMrepo v3
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
3 sampling locations · 1 country
Age
unknown143
Condition
healthy_control93
cardiometabolic_other50
Country
CN143
Body site
primary143
Collected 2015–2016
2015: 104 samples2016: 39 samples20152016
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 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 16 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 127 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 11.56 Gbp per sample0130Gbp
Community composition
Prevotella 25.0%Bacteroides 8.8%Phocaeicola 8.4%Faecalibacterium 4.3%Roseburia 4.0%Alistipes 2.0%Escherichia 1.7%Alloprevotella 1.7%Succinivibrio 1.7%Parabacteroides 1.6%Vescimonas 1.3%Cryptobacteroides 1.2%not assigned to a genus 3.5%other genera 34.9%

Genera, mean relative abundance over 135 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country143 100%143
health_condition143 100%5093
subject_id143 100%143
collection_date143 100%143
detailed_location143 100%
health_condition_detail143 100%5093
latitude143 100%143
location_region143 100%143
longitude143 100%143
location_locality46 32%46
Details
Archive description

The present study is to understand the gut metagenome between Yi and Tibetan population, and their relationship with hypertension patients in China.

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”
  • body site study.title · “Gut metagenomes of Yi and Tibetan population”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN10592349collection_date2016R10.90biosample.attribute:collection_date2016
SAMN10592349countryCNR10.90sample.attr.geo_loc_nameChina:Sichuan
SAMN10592349health_conditioncardiometabolic_otherR10.85biosample.attribute:descriptionHypertension
SAMN10592399health_conditionhealthy_controlR20.75external.gmrepo sourcephenotype: Health
SAMN10592349health_condition_detailHypertensionR10.85biosample.attribute:descriptionHypertension
SAMN10592399health_condition_detailHealthR20.75external.gmrepo sourcephenotype: Health
SAMN10592349latitude30.6900R10.90biosample.attribute:lat_lon30.69 N 104.06 E
SAMN10592446location_localityLiangshanR10.85biosample.attribute:geo_loc_nameChina:Liangshan
SAMN10592349location_regionSichuanR10.85biosample.attribute:geo_loc_nameChina:Sichuan
SAMN10592446location_regionSichuanR10.60biosample.attribute:lat_lon27.88 N 102.27 E
SAMN10592349longitude104.0600R10.90biosample.attribute:lat_lon30.69 N 104.06 E
SAMN10592349subject_idHBP01R10.85sample.attr.host_subject_idHBP01
Sequencing

143 runs over 143 samples · mean 11.61 Gbp per run (median 11.56 Gbp, total 1,660.86 Gbp; 143 runs with a base count) · layout PAIRED 143 · platform ILLUMINA 143 · models Illumina HiSeq 3000 (143) · 94% of runs with a Sandpiper profile · first public 2021-01-10 – 2021-01-11

Authors (0)

No author record.

Downloads

PRJNA509999.csv.gz (4.6 KB) · parquet (76.4 KB) — all 143 samples, every field with route and confidence · PRJNA509999_determinations.csv.gz (8.9 KB) — 1,190 evidence rows

Samples (143 · every field this project has values for · hover a cell for its source)
Loading the sample table…