NGS diagnostics in diarrhoea faecal samples, Denmark
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
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 455 sample values (collection date, country, health condition, health condition detail, latitude, location region, longitude) |
| ✓ Abstract / description | 130 sample values (location locality, location site) |
| ○ Full text | read; no usable statement or table · PMC13177613, PMC5495851 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
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 | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 65 | 100% | 65 | |||
| health_condition | 65 | 100% | 65 | |||
| subject_id | 0 | 0% | ||||
| collection_date | 65 | 100% | 65 | |||
| detailed_location | 65 | 100% | ||||
| health_condition_detail | 65 | 100% | 65 | |||
| latitude | 65 | 100% | 65 | |||
| location_locality | 65 | 100% | 65 | |||
| location_region | 65 | 100% | 65 | |||
| location_site | 65 | 100% | 65 | |||
| longitude | 65 | 100% | 65 |
- 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
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)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA4350107 | collection_date | 2013-09 | R1 | 0.90 | biosample.attribute:collection_date | 2013-09 |
| SAMEA4350107 | country | DK | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | Denmark |
| SAMEA4350107 | health_condition | gi_infection_or_diarrhoea | R1 | 0.85 | biosample.attribute:DESCRIPTION | DESCRIPTION: Diarrhoeal patient sample |
| SAMEA4350107 | health_condition_detail | Diarrhoeal patient sample | R1 | 0.85 | biosample.attribute:DESCRIPTION | DESCRIPTION: Diarrhoeal patient sample |
| SAMEA4350107 | latitude | 56.2639 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 56.2639 9.5018 |
| SAMEA4350107 | location_locality | Hvidovre | R4 | 0.50 | paper.abstract | Hvidovre University Hospital, Denmark |
| SAMEA4350107 | location_region | Central Jutland | R1 | 0.60 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 56.2639 9.5018 |
| SAMEA4350107 | location_site | Hvidovre University Hospital | R4 | 0.50 | paper.abstract | Hvidovre University Hospital, Denmark |
| SAMEA4350107 | longitude | 9.5018 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 56.2639 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