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PRJEB106892 ERP187936

CHAIN gut metagenomes in hospitalised children, case-control

Chain_Ncc_Metagenomes_Release

1851 gut metagenome samples from the CHAIN Network nested case-cohort study, across nine sites in six countries in Africa and South Asia, investigating mechanisms of mortality in hospitalised malnourished children, using a case-control design. machine-written summary

1,851 samples · 1,853 runs · Infant / toddler · 2026 · 4.35 Gbp / sample

Sources
✓Sequence archive 3,350○Abstract / description–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 archive3,350 sample values (age, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
– 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
Age
unknown1,176
neonate675
Body site
unknown1,851
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 14 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 11 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 17 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 42 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 148 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 1,615 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 4 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 4.35 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

288 of 1,563 people sampled more than once (576 samples; median 2, up to 2 per person) · follow-up median 6 d (max 12 d) · median interval between samples 6 d (time from timepoint labels). Schedule stated by the source: “Timepoint labels D0 (baseline/admission) with follow-up D1, D5-D8, D10-D11; 625 subjects across 1851 samples imply repeat sampling per child” (time origin: hospital_admission).

1000115810001158: day 010001158: day 91000229310002293: day 010002293: day 101000316310003163: day 010003163: day 31000316710003167: day 010003167: day 71000318110003181: day 010003181: day 81000323110003231: day 010003231: day 11000324610003246: day 010003246: day 61000326710003267: day 010003267: day 41000327410003274: day 010003274: day 72000135220001352: day 020001352: day 42000141320001413: day 020001413: day 72000147520001475: day 020001475: day 113000129830001298: day 030001298: day 24000101040001010: day 040001010: day 54000114840001148: day 040001148: day 114000122540001225: day 040001225: day 34000129840001298: day 040001298: day 65000103550001035: day 050001035: day 25000105450001054: day 050001054: day 85000117050001170: day 050001170: day 15000122150001221: day 050001221: day 65000127450001274: day 050001274: day 75000128250001282: day 050001282: day 65000131250001312: day 050001312: day 75000137950001379: day 050001379: day 15000139850001398: day 050001398: day 95000202050002020: day 050002020: day 15000207950002079: day 050002079: day 55000213250002132: day 050002132: day 75000215650002156: day 050002156: day 65000227550002275: day 050002275: day 115000228050002280: day 050002280: day 116000107760001077: day 060001077: day 36000108060001080: day 060001080: day 96000115060001150: day 060001150: day 56000134860001348: day 060001348: day 120 d3 d6 d9 d12 d

Each row is one person (36 shown of 288); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bifidobacterium 22.2%Escherichia 18.2%Prevotella 9.1%Streptococcus 8.3%Klebsiella 4.1%Enterococcus_B 3.4%Bacteroides 3.3%Ligilactobacillus 1.8%Veillonella 1.7%Faecalibacterium 1.7%Megamonas 1.4%Megasphaera 1.3%not assigned to a genus 3.6%other genera 19.8%

Genera, mean relative abundance over 1,809 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category675 36%
country0 0%
health_condition0 0%
subject_id1,851 100%1,851
timepoint_label824 45%824
age_at_collection_days675 36%675
Papers (1)
  • (no title) curated
Details
Archive description

The Childhood Acute Illness and Nutrition (CHAIN) Network (www.chnnetwork.org) is a global multi-centre study that aims to understand and identify intervenable mechanisms that increase the risk of death among vulnerable children hospitalised in low- and middle-income countries (LMICs). The CHAIN Network recruited and longitudinally sampled a large cohort of children aged 2–24 months (i.e. from breastfed infants to weaned toddlers) with varying degrees of malnutrition presenting to hospital, with mortality rates of ~10% occurring either in hospital or post-discharge. This study spans nine sites in six countries across Africa and South Asia, with unified protocols for sample collection and clinical metadata capture. These samples provide a deeply characterised healthy microbiome baseline in under-sampled populations from Africa and South Asia, enabling comparison with hospital-admitted children to identify biomarkers of malnutrition. This CHAIN nested case-cohort (NCC) metagenomics dataset is the microbiome arm of the NCC study, a subset of CHAIN participants investigating biological mechanisms underlying inpatient and post-discharge mortality through an integrated multi-omic approach (PMID: 36415883). These data are part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/. These data are made available on an open access basis for research use only. Any person wishing to use these data for commercial purposes must first enter into an appropriate commercial licensing and benefit-sharing agreement with the relevant CHAIN participating country. For Malawi, the relevant authority is the Public Health Research Institute, Ministry of Health, Republic of Malawi. The data including metadata associated with the CHAIN NCC study are archived on the Harvard Dataverse (https://doi.org/10.7910/DVN/X6FAGX). The data contain sensitive information about study participants and may include identifiers that could compromise confidentiality or lead to ethnic stigmatisation. Access to these data requires submission of a formal request for consideration by our Data Governance Committee. Email completed data request form to the Data Governance Committee at dgc@kemri-wellcome.org. The requester provides investigators details, variables requested, intended use of the dataset, potential risks of the study including risks to confidentiality of individuals or communities, potential benefits of the study including to participant communities, scientific capacity building or health policy and planned outputs (if analysis on dataset will result in publication or reports or presentations). The requester also needs to formally agree to the conditions and limitations for data sharing to avoid misuse of shared data. Processing of data requests takes between 4 weeks to 6 weeks from submission.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of infant / toddler and child by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site external_curation.infant_catalog · “infant triage verdict include (gut/stool scope)”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
  • life stage study.description · “(i.e. from breastfed infants to weaned toddlers)”
  • life stage study.description · “The Childhood Acute Illness and”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA8599288age_at_collection_days0R10.80sample.titleD0
SAMEA8599246subject_idCHAIN10088236R10.85biosample_attrCHAIN10088236
SAMEA8599247subject_id60001712R10.70sample.name_rule:TITLE1824529_60001712_CP
SAMEA8599250timepoint_labelD6R10.70run.library_nameDN612300R:D6
SAMEA8599288timepoint_labelD0R10.70sample.title1113618_10001012_D0
Sequencing

1,853 runs over 1,851 samples · mean 4.17 Gbp per run (median 4.35 Gbp, total 7,729.33 Gbp; 1,853 runs with a base count) · layout PAIRED 1,853 · platform ILLUMINA 1,853 · models Illumina NovaSeq 6000 (1,751), Illumina HiSeq 4000 (102) · 98% of runs with a Sandpiper profile · first public 2026-01-28

Authors (51)

Espinosa CA first · Njunge JM · Tickell KD · Diallo AH · Sayeem Bin Shahid ASM · Gazi MA · Kazi Z · Yoshioka E · Tigoi C · Mburu M · Ngari M · Ngao N · Omer E · Gumbi W · Gichuki BM · Mitchel A · Williams J · Gogain J · Janjic N · Mandal R · Jenkins B · Browne HP · Shao Y · Rozday T · Stares MD · Dawson NJR · Berson E · Chang A · Kim Y · Mataraso SJ · Shu CH · Phongpreecha T · Xue L · Saleem A · Singa B · Ahmed T · Voskuijl WP · Wishart DS · Houpt ER · Liu J · Ali A · Mupere E · Chisti MJ · Bandsma RHJ · Lawley TD · Koulman A · Lancioni CL · Aghaeepour N · Berkley JA · Walson JL · Childhood Acute Illness and Nutrition (CHAIN) Network last

Help complete this project

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

Downloads

PRJEB106892.csv.gz (53.3 KB) · parquet (156.7 KB) — all 1,851 samples, every field with route and confidence · PRJEB106892_determinations.csv.gz (47.4 KB) — 3,350 evidence rows

Samples (1,851 · every field this project has values for · hover a cell for its source)
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