Cohort validation pack

GLAD-omics

GLAD Study Genomics and Omics Extension

Generated 6 Oct 2026, 10:36 · ID 36

Unverified

Last verified: 16/04/2026

Instructions for reviewers

Review each field against your knowledge of this cohort. Mark Accurate if the value is right, Needs correction if it is wrong or inaccurate (add notes), Not sure if you cannot verify it, or Does not apply if the field is not relevant.
Evidence shown is from our source registry. Fields marked No source yet hold values we could not yet pin to a document — those were AI-inferred and need your input most. Fields marked Searched — not published are ones we looked for and could not find publicly; the note lists where we checked.
Your selections and notes are kept in this browser tab only (not sent to the database). Print or save as PDF when finished, then return it to the DIGIT team.

Overview

Total fields

Field-cited

Whole-record source only

AI-inferred, no source yet

Searched — not published

No value held

Needs review

Source coverage

Summary of how well fields in this pack are linked to evidence.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Field-level source coverage Optional	41 of 72 reviewable fields are cited to a source (57%) · 6 with no source yet · 25 searched — not published · 29 with no value held	Computed	No citation linked to this field yet.	Response for Field-level source coverageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Identity and ownership

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Short name Required	GLAD-omics	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Multi-omics / GLAD extension paragraph “The project will build on the existing Genetic Links to Anxiety and Depression (GLAD) study” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research DIGIT short label GLAD-omics is the programme name used in registry searches and internal grant inventory for the King’s-led multi-omics extension; KCL article frames it as building on the existing GLAD study.	Response for Short nameAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Full name Required	GLAD Study Genomics and Omics Extension	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Severe depression multi-omics arm “Over £10 million of the new funding will support the development of the world’s largest nationally representative ‘multi-omics’ dataset for severe depression, led by Professor Gerome Breen at King’s College London, alongside Queens University Belfast and University of Edinburgh.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research full_name is the DIGIT display string for the programme (genomics/omics extension of GLAD), aligned to the article’s multi-omics dataset framing.	Response for Full nameAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Managing organisation Recommended	King's College London / NIHR BioResource	Field-cited	NIHR BioResource https://bioresource.nihr.ac.uk Section: Registry landing “Mental Health BioResource” Page: https://bioresource.nihr.ac.uk Supplementary corroboration that GLAD operates within NIHR Mental Health BioResource governance (shared registry source id 2). King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: GLAD study attribution paragraph “The GLAD study is led by the Social, Genetic & Developmental Psychiatry Centre at the Institute of Psychiatry, Psychology & Neuroscience, King’s College London and the National Institute for Health and Care Research (NIHR) Mental Health BioResource at NIHR Maudsley Biomedical Research Centre, in collaboration with Queen's University Belfast, University of Edinburgh and Cardiff University.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research DIGIT managing_organisation summarises lead host (KCL / NIHR Mental Health BioResource); Cardiff appears on the overall GLAD collaboration line while the depression omics arm separately names Belfast and Edinburgh alongside King’s.	Response for Managing organisationAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Primary site Recommended	NIHR Maudsley Biomedical Research Centre (site #1)	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: GLAD study attribution paragraph “The GLAD study is led by the Social, Genetic & Developmental Psychiatry Centre at the Institute of Psychiatry, Psychology & Neuroscience, King’s College London and the National Institute for Health and Care Research (NIHR) Mental Health BioResource at NIHR Maudsley Biomedical Research Centre” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research primary_site_id=1 (NIHR Maudsley BRC) is the NIHR Mental Health BioResource host named on the GLAD programme line in the same article that describes the depression omics extension.	Response for Primary siteAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Website URL Recommended	https://gladstudy.org.uk/	Field-cited	GLAD Study — About the Study https://gladstudy.org.uk/about/ Section: Document title “About the Study \| GLAD Study” Page: https://gladstudy.org.uk/about/ Public programme website retained as gladstudy.org.uk root referenced from KCL article hyperlinks to GLAD.	Response for Website URLAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Catalogue of Mental Health Measures URL Recommended	No value held	No source yet	No citation linked to this field yet.	Response for Catalogue of Mental Health Measures URLAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Contact name Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: KCL article lists a communications manager email for press enquiries (ioppn-pr@kcl.ac.uk), not a study PI contact for GLAD-omics data access.	Response for Contact nameAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Contact email Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: no study data-access or cohort-specific mailbox on gladstudy.org.uk/about/ snapshot (2026-04-16); KCL programme article only lists press contact ioppn-pr@kcl.ac.uk (not a research/data contact).	Response for Contact emailAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Summary and status

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Description Required	UK government-funded multi-omics extension of the GLAD anxiety and depression cohort, led from King's College London with Queen's University Belfast and University of Edinburgh collaborators. The programme recruits additional participants with recurrent severe major depressive disorder and collects genome sequencing, epigenetic profiling, blood biomarker analyses, and integrates speech-based artificial intelligence, wearable devices, and medical records alongside longitudinal assessments.	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Recruitment and modalities paragraph “King’s researchers will recruit an additional 12,000 participants with recurrent, severe major depressive disorder to GLAD, expanding the existing cohort. They will securely collect and integrate multiple types of biological information, including data on the complete human DNA (genome sequencing), which genes are switched on or off (epigenetic profiling), and other biological signals in blood that reveal health or disease (biomarker analysis). These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for DescriptionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Total N Required	No value held	Not published	Searched — not published UNSOURCEABLE as an enrolled census: KCL article states a 12,000-participant recruitment target for the extension arm before recruitment opens May/June 2026 — no released consented N for GLAD-omics alone.	Response for Total NAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Total N qualifier Recommended	target	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Recruitment scale “King’s researchers will recruit an additional 12,000 participants with recurrent, severe major depressive disorder to GLAD, expanding the existing cohort.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research total_n_qualifier=target per data-dictionary.md (public figure is a programme recruitment target, not an audited enrolled total).	Response for Total N qualifierAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Year established Recommended	2026	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Recruitment timing “Recruitment to the extended GLAD study will commence from May/June 2026.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research year_established=2026 encodes the first advertised recruitment window for the extended programme; legacy 2024 placeholder removed.	Response for Year establishedAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Active cohort Recommended	Yes	Field-cited	GLAD Study — About the Study https://gladstudy.org.uk/about/ Section: Eligibility text (HTML body) “The Genetic Links to Anxiety and Depression (GLAD) Study is currently only recruiting individuals over the age of 16.” Page: https://gladstudy.org.uk/about/ Second corroborating row: parent GLAD remains an active recruitment surface while the KCL article dates the omics extension window to May/June 2026. King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Government programme + recruitment timing “This will accelerate the pace at which new mental health treatments can be tested, proven and reach those who need them.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Active cohortAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Ongoing recruitment Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Recruitment timing “Recruitment to the extended GLAD study will commence from May/June 2026.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research ongoing_recruitment=TRUE because the programme advertises an imminent extension recruitment wave while parent GLAD recruitment remains open on gladstudy.org.uk.	Response for Ongoing recruitmentAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Refreshed cohort Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Professor Gerome Breen quotation “For the first time we will gather detailed longitudinal assessments and high quality biosamples with voice, digital, genetics, proteomic and other biomarker data.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Longitudinal programme framing supports is_refreshed=TRUE together with parent GLAD annual questionnaire model (Davies 2019; cohort 5).	Response for Refreshed cohortAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Recontact success rate Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: no recontact response percentage published for the GLAD-omics extension arm.	Response for Recontact success rateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Retention rate Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: no retention percentage published for the GLAD-omics extension arm.	Response for Retention rateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Published references Recommended	https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Canonical programme article URL “https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Published referencesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Notes Recommended	Extension cohort nested in the GLAD programme (cohort 5). Disorder coverage in cohort_diagnosis_areas follows the parent GLAD anxiety/depression scope; public programme text foregrounds severe recurrent depression for the 12,000-participant expansion arm. Cohort–site links for this entity list only hubs named on that depression omics arm (KCL/Maudsley BRC plus Belfast and Edinburgh); Cardiff appears on the overall GLAD collaboration line and on a separate psychosis initiative in the same KCL article.	Field-cited	MHG Grant Application Section: DIGIT inventory “UKRI Mental Health Goals Programme application — Figure 1, named cohorts and sites” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research sources.id=21 grant row (no public URL) names GLAD-omics in Figure 1 alongside programme cohorts; public KCL article provides operational detail for the depression omics extension.	Response for NotesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

3D cohort mapping

Consent, characterisation, and data availability axes used on the cohort map.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Consent level (axis) Required	3 — Broad consent (recontactable for future studies)	Field-cited	Davies et al. — GLAD protocol, Behav Res Ther 2019 (PMC full text) https://doi.org/10.1016/j.brat.2019.103503 Section: 2.2. Sign-up process “As part of the consenting process participants agree to long-term storage of their sample, requests to complete follow-up questionnaires, anonymised data sharing, recontact for future research studies based on their phenotype/genotype information, and access to their full medical and health related records.” Page: https://doi.org/10.1016/j.brat.2019.103503 GLAD-omics recruits within / extends the GLAD programme; interventional randomisation-ready consent is not described for the omics extension in the reviewed public article. Step1 identifiable=YES. Step2 S251-only=NO. Step3 recontact=YES (Davies protocol quote for parent GLAD). Step4 specific interventional consent=NO → consent_level=3 per data-dictionary.md. Paper full text not duplicated in glad-omics resources folder; citation uses DOI URL.	Response for Consent level (axis)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Characterisation depth (axis) Required	3 — Multi-domain MH characterisation	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Professor Gerome Breen quotation “For the first time we will gather detailed longitudinal assessments and high quality biosamples with voice, digital, genetics, proteomic and other biomarker data.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Step1 research-specific MH phenotyping beyond ICD codes YES (longitudinal assessments). Step2 multi-domain beyond symptom scales YES (voice/digital/biomarkers). Step3 SCID/MINI/SCAN plus active cohort refresh not evidenced as a package in reviewed public text → conservative characterisation_depth=3 per data-dictionary.md (biosample depth is on data_availability flags, not this axis).	Response for Characterisation depth (axis)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data availability (axis) Required	4 — Multi-modal	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Multi-omics + modalities paragraph “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research DERIVED per data-dictionary.md: hasResearch=TRUE (questionnaires/longitudinal assessments); hasBiological=TRUE (biosamples + genome sequencing + epigenetic profiling + proteomic signals in article); hasAdvanced=TRUE (wearable devices OR speech-based AI digital phenotyping) → data_availability=4.	Response for Data availability (axis)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Cohort map group (derived) Recommended	Group 1	Internal	Internal catalogue field	—	—
Population type Recommended	Case-enriched	Not published	DIGIT Cohort Portfolio Review — population type and engagement classification (Aug 2026) Classified case_enriched in the DIGIT cohort portfolio review (Aug 2026). Multi-omics extension recruiting within the anxiety/depression-enriched GLAD cohort.	Response for Population typeAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Industry engagement status Recommended	Established access process	Not published	DIGIT Cohort Portfolio Review — population type and engagement classification (Aug 2026) Operates within the NIHR BioResource / MHG access and recontact framework.	Response for Industry engagement statusAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Parent cohort / programme Recommended	GLAD (Extension)	Not published	DIGIT Cohort Portfolio Review — population type and engagement classification (Aug 2026) GLAD-omics is the multi-omics extension of the GLAD cohort (extension); described as such on its own record's cited sources.	Response for Parent cohort / programmeAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
TWiCs eligible Recommended	No	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: data-dictionary.md + programme context “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research twics_eligible=FALSE after correction: data-dictionary.md defines TWiCs-eligible cohorts as consent_level=4 with active interventional/randomisation-ready consent AND infrastructure supports randomisation; this cohort remains consent_level=3 with broad/recontact GLAD consent (Davies 2019). Grant ITH framing alone cannot override the dictionary rule.	Response for TWiCs eligibleAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Data modalities

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Questionnaire / interview Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Professor Gerome Breen quotation “For the first time we will gather detailed longitudinal assessments and high quality biosamples with voice, digital, genetics, proteomic and other biomarker data.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research TRUE per data-dictionary: longitudinal participant assessments alongside multi-omics imply structured questionnaires/interviews beyond routine EHR-only phenotyping.	Response for Questionnaire / interviewAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Cognitive testing Recommended	No	Field-cited	Davies et al. — GLAD protocol, Behav Res Ther 2019 (PMC full text) https://doi.org/10.1016/j.brat.2019.103503 Section: 2.3.1. Sign-up questionnaire “Current depressive symptoms (PHQ-9 (Kroenke, Spitzer, & Williams, 2001)), and those with a score of five or above on the PHQ 9” Page: https://doi.org/10.1016/j.brat.2019.103503 FALSE: parent GLAD core phenotyping is self-report questionnaires and adapted screeners, not computerised cognitive test batteries; omics extension public text does not name CANTAB/CogState-style cognitive tasks.	Response for Cognitive testingAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Physical measures Recommended	No	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Biological information paragraph “other biological signals in blood that reveal health or disease (biomarker analysis)” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research FALSE per data-dictionary boundary: text foregrounds molecular biomarker / omics discovery from blood rather than objective anthropometry/vitals panels classified as physical_measures.	Response for Physical measuresAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Biosamples Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Professor Gerome Breen quotation “high quality biosamples” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for BiosamplesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Genomic data Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Biological information paragraph “including data on the complete human DNA (genome sequencing)” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Genomic dataAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Omics Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Multi-omics definition + biomarker paragraph “Multi-omics is the study of multiple biological molecules like DNA, RNA, proteins and metabolites.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research TRUE: article names epigenetic profiling and proteomic / blood biomarker analyses alongside genomics.	Response for OmicsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Imaging Recommended	No	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Modalities paragraph “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research FALSE: reviewed paragraph lists speech AI, wearables, and medical records alongside omics assays but does not name MRI/PET/CT neuroimaging modalities.	Response for ImagingAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Wearable / sensor Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Modalities paragraph “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Wearable / sensorAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Digital phenotyping Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Modalities paragraph “speech-based artificial intelligence” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research TRUE: passive speech/AI phenotyping stream explicitly listed alongside wearables for the depression extension.	Response for Digital phenotypingAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked health records Recommended	Yes	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Modalities paragraph “medical records” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research	Response for Linked health recordsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Biosample types Recommended	saliva, blood	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Biological information paragraph “other biological signals in blood that reveal health or disease (biomarker analysis)” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research blood retained for omics biomarker work; saliva retained as continuing GLAD DNA collection modality per Davies 2019 parent protocol.	Response for Biosample typesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Genotyping platform Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: article names genome sequencing but does not specify instrument/array vendor or pipeline version for the extension arm.	Response for Genotyping platformAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Imaging modalities Recommended	No value held	Not published	NULL by design — has_imaging_data=FALSE.	Response for Imaging modalitiesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Mental health measures Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: instrument battery for the omics extension arm not enumerated separately from parent GLAD in reviewed public text.	Response for Mental health measuresAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Data subcategories

Structured modality and subcategory rows used alongside the high-level data-type flags.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Data subcategories Recommended List key data subcategories using distinct rows for category markers, named questionnaire/interview instruments, biospecimen types, omics/genomics data products, imaging modalities, sensor streams, and linked-record types.	No value held	No source yet	No citation linked to this field yet.	Response for Data subcategoriesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Field

Current value

Evidence

Source evidence

Response

Notes / correction

Data subcategories

Recommended

List key data subcategories using distinct rows for category markers, named questionnaire/interview instruments, biospecimen types, omics/genomics data products, imaging modalities, sensor streams, and linked-record types.

No value held

No source yet

No citation linked to this field yet.

AccurateNeeds correctionNot sureDoes not apply

Consent and use permissions

Specific use permissions separate from the 3D consent-level axis.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Consent and use permissions Recommended Confirm health/biomedical research use, industry/commercial consideration, non-commercial restrictions, governance modifiers, recontact, trial approach, biosample use, linkage, sharing, international transfer, and any Section 251/CAG support.	No value held	No source yet	No citation linked to this field yet.	Response for Consent and use permissionsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Field

Current value

Evidence

Source evidence

Response

Notes / correction

Consent and use permissions

Recommended

Confirm health/biomedical research use, industry/commercial consideration, non-commercial restrictions, governance modifiers, recontact, trial approach, biosample use, linkage, sharing, international transfer, and any Section 251/CAG support.

No value held

No source yet

No citation linked to this field yet.

AccurateNeeds correctionNot sureDoes not apply

Access pathways

One or more routes by which researchers can request or analyse data.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Access pathways Recommended Confirm all data access pathways, including route, access level, TRE/SDE or download/API environment, DAC review, collaboration requirements, data sharing agreements, output checking, timelines, and fees.	No value held	No source yet	No citation linked to this field yet.	Response for Access pathwaysAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Field

Current value

Evidence

Source evidence

Response

Notes / correction

Access pathways

Recommended

Confirm all data access pathways, including route, access level, TRE/SDE or download/API environment, DAC review, collaboration requirements, data sharing agreements, output checking, timelines, and fees.

No value held

No source yet

No citation linked to this field yet.

AccurateNeeds correctionNot sureDoes not apply

Within-cohort coverage

Aggregate counts or percentages showing how broadly data, consent, or access characteristics apply within the cohort.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Within-cohort coverage metrics Recommended Provide numerator, denominator, unit type, numerator/denominator exactness qualifiers, denominator type, basis, date/release, original source wording, and whether each metric is marginal, joint, conditional, or a release total.	No value held	No source yet	No citation linked to this field yet.	Response for Within-cohort coverage metricsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Field

Current value

Evidence

Source evidence

Response

Notes / correction

Within-cohort coverage metrics

Recommended

Provide numerator, denominator, unit type, numerator/denominator exactness qualifiers, denominator type, basis, date/release, original source wording, and whether each metric is marginal, joint, conditional, or a release total.

No value held

No source yet

No citation linked to this field yet.

AccurateNeeds correctionNot sureDoes not apply

Linkage and access

Field	Current value	Evidence	Source evidence	Response	Notes / correction
NHS linkage Recommended	Yes	Field-cited	Davies et al. — GLAD protocol, Behav Res Ther 2019 (PMC full text) https://doi.org/10.1016/j.brat.2019.103503 Section: 2.2. Sign-up process “access to their full medical and health related records” Page: https://doi.org/10.1016/j.brat.2019.103503 TRUE by inheritance: GLAD-omics participants are drawn from / nested in the GLAD consent model that explicitly includes NHS-linked medical records access.	Response for NHS linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
GP linkage Recommended	Yes	Field-cited	Davies et al. — GLAD protocol, Behav Res Ther 2019 (PMC full text) https://doi.org/10.1016/j.brat.2019.103503 Section: 2.2. Sign-up process “access to their full medical and health related records” Page: https://doi.org/10.1016/j.brat.2019.103503 TRUE by conservative reading of parent consent language (full medical records) alongside KCL article medical records integration; GP-level extraction not separately named.	Response for GP linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Death registry linkage Recommended	No	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Modalities + linkage scope in reviewed public text “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research FALSE: article names medical records integration but does not name ONS mortality / civil death registration linkage; no contradictory evidence found in mandatory Apr 2026 pass.	Response for Death registry linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Education linkage Recommended	No	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Modalities + linkage scope in reviewed public text “These measures will be combined with data from speech-based artificial intelligence, wearable devices and medical records.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research FALSE: education administrative linkage not named; conservative FALSE pending custodian metadata.	Response for Education linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data access mechanism Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: access mechanism not standardised on pages reviewed for the extension arm.	Response for Data access mechanismAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
TRE platform Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: TRE/SDE hosting for the omics extension dataset not named in reviewed public text.	Response for TRE platformAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data dictionary URL Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: gladstudy.org.uk/for-researchers and /for-researchers/ both returned HTTP 404 on 2026-04-16; cohort 36 data_dictionary_url therefore NULL (parent cohort 5 URL may be stale).	Response for Data dictionary URLAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data access timeline (days) Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: not stated on sources reviewed.	Response for Data access timeline (days)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data access cost Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: not stated on sources reviewed.	Response for Data access costAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Participant profile and dates

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Age distribution Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: no Table 1 age distribution published for the GLAD-omics extension arm in sources reviewed (Apr 2026).	Response for Age distributionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Sex distribution Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: no sex distribution published for the GLAD-omics extension arm in sources reviewed.	Response for Sex distributionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Ethnicity distribution Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: no ethnicity distribution published for the GLAD-omics extension arm in sources reviewed.	Response for Ethnicity distributionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Smoking status distribution Recommended	No value held	No source yet	No citation linked to this field yet.	Response for Smoking status distributionAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Median age Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: median age not published for the GLAD-omics extension arm.	Response for Median ageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Percent female Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: percent female not published for the GLAD-omics extension arm.	Response for Percent femaleAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Percent non-white Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: ethnicity percentages not published for the GLAD-omics extension arm.	Response for Percent non-whiteAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Geographic coverage Recommended	national	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Programme framing “world’s largest nationally representative ‘multi-omics’ dataset for severe depression” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research nationally representative wording supports geographic_coverage=national.	Response for Geographic coverageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Follow-up duration Recommended	No value held	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Professor Gerome Breen quotation “detailed longitudinal assessments” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research followup_duration left NULL in SQL because programme has not published a bounded wave calendar beyond May/June 2026 start; longitudinal intent documented here.	Response for Follow-up durationAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Last data collection date Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: extension not yet recruiting at verification date; no last collection date.	Response for Last data collection dateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Recruitment start date Recommended	No value held	Not published	Searched — not published UNSOURCEABLE as DATE: article states May/June 2026 window without a calendar open day.	Response for Recruitment start dateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Recruitment end date Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: recruitment end date not published for the extension arm.	Response for Recruitment end dateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Diagnosis areas

Mental health diagnosis areas represented in this cohort.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Diagnosis area: Major depressive disorder Recommended Confirm this diagnosis area applies and estimated N if shown.	Major depressive disorder · Mood Disorders	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Recruitment phenotype “recurrent, severe major depressive disorder” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research diagnosis_area_id=5 is Major depressive disorder per db/seed/diagnosis_areas.sql insertion order.	Response for Diagnosis area: Major depressive disorderAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Diagnosis area: Generalised anxiety disorder Recommended Confirm this diagnosis area applies and estimated N if shown.	Generalised anxiety disorder · Anxiety Disorders	Field-cited	Davies et al. — GLAD protocol, Behav Res Ther 2019 (PMC full text) https://doi.org/10.1016/j.brat.2019.103503 Section: Abstract “The Genetic Links to Anxiety and Depression (GLAD) Study (www.gladstudy.org.uk) recruits individuals with depression or anxiety into the NIHR Mental Health BioResource.” Page: https://doi.org/10.1016/j.brat.2019.103503 Row retained as parent-GLAD scope: GLAD-omics recruits through the same GLAD programme infrastructure; diagnosis_area_id=8 is Generalised anxiety disorder per db/seed/diagnosis_areas.sql.	Response for Diagnosis area: Generalised anxiety disorderAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Diagnosis area: Social anxiety disorder Recommended Confirm this diagnosis area applies and estimated N if shown.	Social anxiety disorder · Anxiety Disorders	Field-cited	Davies et al. — GLAD protocol, Behav Res Ther 2019 (PMC full text) https://doi.org/10.1016/j.brat.2019.103503 Section: Abstract “The Genetic Links to Anxiety and Depression (GLAD) Study (www.gladstudy.org.uk) recruits individuals with depression or anxiety into the NIHR Mental Health BioResource.” Page: https://doi.org/10.1016/j.brat.2019.103503 diagnosis_area_id=9 is Social anxiety disorder per diagnosis_areas seed; sourced from parent GLAD protocol because omics arm public text centres on severe MDD phenotype.	Response for Diagnosis area: Social anxiety disorderAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Diagnosis area: Panic disorder Recommended Confirm this diagnosis area applies and estimated N if shown.	Panic disorder · Anxiety Disorders	Field-cited	Davies et al. — GLAD protocol, Behav Res Ther 2019 (PMC full text) https://doi.org/10.1016/j.brat.2019.103503 Section: Abstract “The Genetic Links to Anxiety and Depression (GLAD) Study (www.gladstudy.org.uk) recruits individuals with depression or anxiety into the NIHR Mental Health BioResource.” Page: https://doi.org/10.1016/j.brat.2019.103503 diagnosis_area_id=10 is Panic disorder per diagnosis_areas seed.	Response for Diagnosis area: Panic disorderAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Linked sites

Sites contributing participants or data to this cohort.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Linked site: NIHR Maudsley Biomedical Research Centre Recommended	NIHR Maudsley Biomedical Research Centre · London	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: GLAD study attribution paragraph “The GLAD study is led by the Social, Genetic & Developmental Psychiatry Centre at the Institute of Psychiatry, Psychology & Neuroscience, King’s College London and the National Institute for Health and Care Research (NIHR) Mental Health BioResource at NIHR Maudsley Biomedical Research Centre” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research site_id=1 is NIHR Maudsley BRC (London), named as host of the NIHR Mental Health BioResource on the GLAD programme line.	Response for Linked site: NIHR Maudsley Biomedical Research CentreAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked site: Queen's University Belfast Recommended	Queen's University Belfast · Northern Ireland	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Severe depression multi-omics arm “Over £10 million of the new funding will support the development of the world’s largest nationally representative ‘multi-omics’ dataset for severe depression, led by Professor Gerome Breen at King’s College London, alongside Queens University Belfast and University of Edinburgh.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research site_id=24 is Queen's University Belfast per db/seed/sites/024_queens-university-belfast.sql; named on the depression omics arm sentence alongside Edinburgh.	Response for Linked site: Queen's University BelfastAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked site: University of Edinburgh Recommended	University of Edinburgh · Scotland	Field-cited	King's College London — Mental Health Goals programme news (Jan 2026) https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research Section: Severe depression multi-omics arm “Over £10 million of the new funding will support the development of the world’s largest nationally representative ‘multi-omics’ dataset for severe depression, led by Professor Gerome Breen at King’s College London, alongside Queens University Belfast and University of Edinburgh.” Page: https://www.kcl.ac.uk/news/kings-college-london-plays-major-role-in-50-million-government-funded-programme-into-mental-health-research site_id=12 is University of Edinburgh per db/seed/sites/012_university-of-edinburgh.sql.	Response for Linked site: University of EdinburghAccurateNeeds correctionNot sureDoes not apply No response selected	No notes

Verification metadata

Internal catalogue status — for reference only.

Field	Current value	Evidence	Source evidence	Response	Notes / correction
Verification status Recommended	unverified	Internal	Internal catalogue field	—	—
Last verified Recommended	16 Apr 2026	Internal	Internal catalogue field	—	—
Data source Recommended	Verified Apr 2026 from KCL Mental Health Goals programme news (Jan 2026), GLAD About page, Davies et al. 2019 GLAD protocol (Behav Res Ther / PMC6891252), NIHR BioResource registry summary, UKRI MHG grant inventory note (sources.id=21), HDR UK Innovation Gateway search (no separate GLAD-omics dataset row isolated from public search), ClinicalTrials.gov API v2 (query GLAD-omics returned no studies), ISRCTN XML API (GLAD depression query returned unrelated legacy asthma trial only). gladstudy.org.uk/for-researchers URL returned HTTP 404 on 2026-04-16 check — data_dictionary_url left NULL for cohort 36.	Internal	Internal catalogue field	—	—