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PRJEB14038 ERP015638

NGS diagnostics in diarrhoea faecal samples, Denmark

Evaluating the Potential of using Next-Generation Sequencing for Direct Clinical Diagnostics of Faecal Samples from Patients with Diarrhoea

Cross-sectional study of 65 faecal samples from Hvidovre University Hospital, Denmark: 55 from diarrhoea patients (gastrointestinal infection) and 10 from healthy controls, evaluating next-generation sequencing for pathogen diagnostics versus conventional methods. machine-written summary

65 samples · 65 runs · DK · Age unknown · 2017 · 1.77 Gbp / sample

Sources
✓Sequence archive 455✓Abstract / description 130○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 archive455 sample values (collection date, country, health condition, health condition detail, latitude, location region, longitude)
✓ Abstract / description130 sample values (location locality, location site)
○ Full textread; no usable statement or table · PMC13177613, PMC5495851
○ Supplementary tablesfiles read; no table could be matched to the samples
– 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
unknown65
Condition
gi_infection_or_diarrhoea55
healthy_control10
Country
DK65
Body site
primary65
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 1 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 8 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 10 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 31 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 15 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 1.77 Gbp per sample0130Gbp
Community composition
Escherichia 17.5%Bacteroides 14.4%Phocaeicola 6.2%Prevotella 4.3%Klebsiella 3.3%Alistipes 2.4%Faecalibacterium 2.2%Parabacteroides 1.5%Streptococcus 1.5%Enterococcus_B 1.4%Citrobacter 1.4%Dialister 1.4%not assigned to a genus 11.2%other genera 31.3%

Genera, mean relative abundance over 60 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%
country65 100%65
health_condition65 100%65
subject_id0 0%
collection_date65 100%65
detailed_location65 100%
health_condition_detail65 100%65
latitude65 100%65
location_locality65 100%65
location_region65 100%65
location_site65 100%65
longitude65 100%65
Papers (2)
  • Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease. 2017 PMID 28285331 PMC5495851 own_data
  • Pangenome-GWAS analysis of <i>Clostridioides difficile</i> resistant traits from healthcare- and non-healthcare-associated settings. 2026 PMID 41875899 PMC13177613 unsure
Details
Archive description

Diarrhoea is a major global disease burden and rapid, precise identification of the causative pathogens is important to initiate patient treatment and to discover and handle potential outbreaks. The current diagnostics involve numerous procedures and often the pathogen is not identified in time to guide clinical management. Furthermore, in many clinical cases pathogens are never identified. With next-generation sequencing (NGS) becoming cheaper it has huge potential in routine diagnostics. The aim of this study was to evaluate the potential of NGS-based diagnostics through direct sequencing of faecal samples. Fifty-eight clinical faecal samples were obtained from patients with diarrhoea as part of the routine diagnostics at Hvidovre University Hospital, Denmark. Ten samples from healthy individuals were also included. DNA was extracted from faecal samples and sequenced on the Illumina MiSeq. Species distribution was determined with MGmapper (http://cge.cbs.dtu.dk/services/MGmapper/) and NGS-based diagnostic prediction was performed based on relative abundance of pathogenic bacteria and Giardia and detection of pathogen-specific virulence genes. NGS-based diagnostic results were compared to conventional findings for 55 of the diarrhoeal samples 38 conventionally positive for bacterial pathogens, two positive for Giardia, four positive for virus and 11 conventionally negative. The NGS-based approach enabled detection of the same bacterial pathogens as the classical approach in 34 of the 38 conventionally positive bacterial samples, and predicted responsible pathogens in five of 11 conventionally negative samples. Overall, the NGS-based approach enabled pathogen detection comparable to the conventional diagnostics, and the approach has potential to be extended for detection of all pathogens. At present, however, this approach is too expensive and time-consuming for routine diagnostics.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.80. Assay shotgun_dna.

  • host study.description · “clinical faecal samples were obtained from patients”
  • body site study.title · “Faecal Samples from Patients with Diarrhoea”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA4350107collection_date2013-09R10.90biosample.attribute:collection_date2013-09
SAMEA4350107countryDKR10.90sample.attr.geographic_location_country_and_or_seaDenmark
SAMEA4350107health_conditiongi_infection_or_diarrhoeaR10.85biosample.attribute:DESCRIPTIONDESCRIPTION: Diarrhoeal patient sample
SAMEA4350107health_condition_detailDiarrhoeal patient sampleR10.85biosample.attribute:DESCRIPTIONDESCRIPTION: Diarrhoeal patient sample
SAMEA4350107latitude56.2639R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude56.2639 9.5018
SAMEA4350107location_localityHvidovreR40.50paper.abstractHvidovre University Hospital, Denmark
SAMEA4350107location_regionCentral JutlandR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude56.2639 9.5018
SAMEA4350107location_siteHvidovre University HospitalR40.50paper.abstractHvidovre University Hospital, Denmark
SAMEA4350107longitude9.5018R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude56.2639 9.5018
Sequencing

65 runs over 65 samples · mean 1.94 Gbp per run (median 1.77 Gbp, total 126.24 Gbp; 65 runs with a base count) · layout PAIRED 65 · platform ILLUMINA 65 · models Illumina MiSeq (65) · 92% of runs with a Sandpiper profile · first public 2017-01-31

Authors (12)

Joensen KG first · Engsbro AL · Lukjancenko O · Kaas RS · Lund O · Westh H · Aarestrup FM last · Jara M first · Frias-De-Diego A · Petit R · Nguyen L · Lanzas C last

Help complete this project

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

Downloads

PRJEB14038.csv.gz (2.5 KB) · parquet (73.3 KB) — all 65 samples, every field with route and confidence · PRJEB14038_determinations.csv.gz (3.9 KB) — 585 evidence rows

Samples (65 · every field this project has values for · hover a cell for its source)
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