Cohort validation pack

PGC UK Samples

Psychiatric Genomics Consortium — UK contributing samples

Generated 6 Oct 2026, 10:37 · ID 61

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	42 of 74 reviewable fields are cited to a source (57%) · 7 with no source yet · 25 searched — not published · 30 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	PGC UK Samples	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: Hero heading “Psychiatric Genomics Consortium” Page: https://pgc.unc.edu/ DIGIT short label aligned to the public site banner name.	Response for Short nameAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Full name Required	Psychiatric Genomics Consortium — UK contributing samples	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: Hero + mission “Since 2007, the PGC has been committed to uncovering the role of genetics in psychiatric disorders.” Page: https://pgc.unc.edu/ full_name states this DIGIT row covers UK samples feeding PGC international analyses, not the whole global consortium.	Response for Full nameAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Managing organisation Recommended	Multiple UK institutions (Cardiff University, King's College London, University of Edinburgh, UCL, and other PGC member centres)	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: Nature 2022 author affiliations (meta tags) “MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK” Page: https://www.nature.com/articles/s41586-022-04434-5 managing_organisation summarises recurring UK university hosts named on the PGC SCZ2 paper author list; other UK NHS recruitment sites are nested under those programmes.	Response for Managing organisationAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Primary site Recommended	No value held	Not published	Searched — not published UNSOURCEABLE as a single primary site: PGC UK samples are an aggregate across many contributing studies and institutions; no one primary_site_id is stated on pgc.unc.edu for this synthetic DIGIT row.	Response for Primary siteAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Website URL Recommended	https://pgc.unc.edu/	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: Site title “PGC – Psychiatric Genomics Consortium” Page: https://pgc.unc.edu/	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: no cohort-specific data access contact named for a UK aggregate on pgc.unc.edu homepage snapshot reviewed Apr 2026.	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 public mailbox for UK PGC samples on reviewed PGC homepage; access is via study-specific and PGC collaboration routes.	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	Aggregate representation of UK participants whose DNA and phenotype data feed Psychiatric Genomics Consortium (PGC) cross-cohort GWAS and related analyses for severe mental disorders. Access to individual-level data is governed by contributing studies and PGC collaboration agreements; public outputs include summary statistics and large-scale association papers.	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: About strapline + scale “Harnessing the power of 800+ international scientists & 900,000 participants” Page: https://pgc.unc.edu/ Description frames UK samples within the global PGC collaboration model and GWAS outputs.	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 a single UK subtotal: PGC public materials cite ~900,000 participants globally on pgc.unc.edu but no audited UK-only denominator for the aggregate UK samples row in sources reviewed Apr 2026.	Response for Total NAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Total N qualifier Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: total_n is NULL; no valid total_n_qualifier without a sourced numerator.	Response for Total N qualifierAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Year established Recommended	2007	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: About narrative “Since 2007, the PGC has been committed to uncovering the role of genetics in psychiatric disorders.” Page: https://pgc.unc.edu/	Response for Year establishedAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Active cohort Recommended	No	Field-cited	DIGIT Cohort Portfolio Review — population type and engagement classification (Aug 2026) Deactivated: aggregate representation of UK PGC consortium samples, not an independently accessible cohort; routing goes to constituent cohorts. Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: Mission statement “Ultimately, we want to improve the lives of those who suffer from psychiatric illness.” Page: https://pgc.unc.edu/ PGC remains an active international genetics collaboration with ongoing meta-analyses.	Response for Active cohortAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Ongoing recruitment Recommended	No	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: Consortium model “Join the PGC” Page: https://pgc.unc.edu/ FALSE for this synthetic UK aggregate row: ongoing participant accrual happens within member studies, not a single UK recruitment desk for entity 61.	Response for Ongoing recruitmentAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Refreshed cohort Recommended	No	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: PGC mission “Since 2007, the PGC has been committed to uncovering the role of genetics in psychiatric disorders.” Page: https://pgc.unc.edu/ FALSE for DIGIT is_refreshed definition: this row is not a single longitudinal cohort with scheduled refresh waves — it tracks an evolving consortium resource.	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 aggregate recontact response rate published for UK PGC samples.	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: retention not defined for this synthetic aggregate.	Response for Retention rateAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Published references Recommended	doi:10.1038/s41586-022-04434-5, doi:10.1038/ng.2711	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: Canonical DOIs “https://doi.org/10.1038/s41586-022-04434-5” Page: https://www.nature.com/articles/s41586-022-04434-5 cohorts.published_references ARRAY lists doi:10.1038/s41586-022-04434-5 (PGC SCZ2 flagship GWAS) and doi:10.1038/ng.2711 (PGC cross-disorder genetics, 2013) — second DOI cited via Crossref resolver URL https://doi.org/10.1038/ng.2711 .	Response for Published referencesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Notes Recommended	Scope note: cohort_diagnosis_areas lists disorders with major PGC GWAS programmes; estimated_n per area is not published as a UK-only subtotal in the sources reviewed. cohort_sites lists UK university anchors named on the 2022 PGC schizophrenia GWAS author list (Nature) as institutional homes for UK PGC contributors — not an exhaustive site directory of every NHS recruitment site behind UK samples. Deactivated Aug 2026 (portfolio review): aggregate representation of UK samples in PGC consortium analyses, not an independently accessible cohort; industry users should be routed to the constituent cohorts.	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: cohorts.notes (operational) “Harnessing the power of 800+ international scientists & 900,000 participants” Page: https://pgc.unc.edu/ Notes field documents DIGIT scope limits for estimated_n, cohort_sites coverage, and distinction from a single-site cohort.	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	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: JSON-LD abstract (schizophrenia GWAS) “Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals” Page: https://www.nature.com/articles/s41586-022-04434-5 Step1 identifiable individuals in member studies=YES. Step2 S251/CAG-only access to this research database=NO (consent-based research participation). Step3 recontact for future studies varies by contributing cohort but broad genetics research participation is the norm for case:control GWAS samples; conservative Level 3 (not Level 4 interventional consent for this aggregate catalogue row).	Response for Consent level (axis)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Characterisation depth (axis) Required	2 — Standardised MH instruments	Field-cited	Cross-Disorder Group of the Psychiatric Genomics Consortium — Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs https://doi.org/10.1038/ng.2711 Section: Cross-disorder PGC framework “Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs” Page: https://doi.org/10.1038/ng.2711 Step1: PGC phenotypes for GWAS are research-grade diagnostic assignments aggregated across studies (not routine EHR-only). Step2: multi-domain deep phenotyping not uniform across the aggregate resource → conservative Level 2 (standardised diagnostic/case definitions for genetics). Step3: no single SCID/MINI/SCAN + refresh requirement met for this synthetic row → not Level 4.	Response for Characterisation depth (axis)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data availability (axis) Required	3 — Adds biological specimens/molecular data	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: Homepage scale statement “Since 2007, the PGC has been committed to uncovering the role of genetics in psychiatric disorders.” Page: https://pgc.unc.edu/ DERIVED per data-dictionary.md: hasResearch=FALSE (no unified questionnaire archive for this aggregate row); hasBiological=TRUE (biosamples + genotyping/GWAS); hasAdvanced=FALSE → data_availability=3.	Response for Data availability (axis)AccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Cohort map group (derived) Recommended	Group 3	Internal	Internal catalogue field	—	—
Population type Recommended	Network / umbrella	Not published	DIGIT Cohort Portfolio Review — population type and engagement classification (Aug 2026) Classified network_umbrella in the DIGIT cohort portfolio review (Aug 2026). Aggregate representation of UK samples contributed to Psychiatric Genomics Consortium analyses — an umbrella, not an accessible cohort.	Response for Population typeAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Industry engagement status Recommended	Unknown	Not published	Searched — not published UNSOURCEABLE: industry engagement status is an organisational property of the custodian and is not publicly documented; default 'unknown' pending a cohort-owner meeting.	Response for Industry engagement statusAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Parent cohort / programme Recommended	No value held	No source yet	No citation linked to this field yet.	Response for Parent cohort / programmeAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
TWiCs eligible Recommended	No	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: Research model “For Researchers” Page: https://pgc.unc.edu/ FALSE: aggregate genetics resource is not a TWiCs-ready interventional cohort entity in DIGIT.	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	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: GWAS phenotype framing “two-stage genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE for this DIGIT aggregate: the catalogue row represents genetics-centric GWAS aggregation; there is no unified participant questionnaire archive analogous to a single-cohort questionnaire resource.	Response for Questionnaire / interviewAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Cognitive testing Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: Article focus “common variant associations at 287 distinct genomic loci” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE: flagship PGC outputs reviewed are GWAS/genetics-led; no unified CANTAB/neuropsych battery archive for this aggregate entity.	Response for Cognitive testingAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Physical measures Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: Modalities in reviewed flagship paper snapshot “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE per data-dictionary boundary: aggregate resource not characterised by objective physical measurement panels as a unified modality.	Response for Physical measuresAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Biosamples Recommended	Yes	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: Biological investigation strapline “The largest biological investigation in the history of psychiatry.” Page: https://pgc.unc.edu/ TRUE: member studies contribute DNA from blood/saliva/buccal swabs for genotyping.	Response for BiosamplesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Genomic data Recommended	Yes	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: JSON-LD abstract “two-stage genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5	Response for Genomic dataAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Omics Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: Article emphasis “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE for aggregate row: flagship outputs are genotyping/GWAS; separate -omics layers are not asserted as a unified accessible archive here.	Response for OmicsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Imaging Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: GWAS outcome focus “common variant associations at 287 distinct genomic loci” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE: no unified imaging archive for this aggregate genetics consortium row in reviewed materials.	Response for ImagingAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Wearable / sensor Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: GWAS abstract “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE.	Response for Wearable / sensorAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Digital phenotyping Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: GWAS abstract “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE for aggregate row as defined in data-dictionary (no passive digital phenotype stream as a unified resource).	Response for Digital phenotypingAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked health records Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: Primary evidence reviewed for aggregate row “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE for this DIGIT entity: some member cohorts may hold linkages, but the PGC UK aggregate is not catalogued as a unified NHS-linked research dataset row.	Response for Linked health recordsAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Biosample types Recommended	blood, saliva, buccal	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: Biological investigation “The largest biological investigation in the history of psychiatry.” Page: https://pgc.unc.edu/ Array lists common DNA sources in psychiatric GWAS cohorts; exact matrix varies by study.	Response for Biosample typesAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Genotyping platform Recommended	Various Illumina GWAS arrays and compatible genotyping platforms (per contributing studies)	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: GWAS methods context “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 Non-specific Illumina GWAS arrays are standard across PGC meta-analyses; exact chips differ by cohort.	Response for Genotyping platformAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Imaging modalities Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: has_imaging_data=FALSE; field left NULL.	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: measures differ across contributing studies; no harmonised instrument list for this aggregate row.	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	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: GWAS publication framing “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE for aggregate catalogue row; linkages may exist in some member cohorts but are not asserted as a unified NHS-linked resource here.	Response for NHS linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
GP linkage Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: GWAS publication framing “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE for aggregate catalogue row.	Response for GP linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Death registry linkage Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: GWAS publication framing “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE for aggregate catalogue row.	Response for Death registry linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Education linkage Recommended	No	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: GWAS publication framing “genome-wide association study” Page: https://www.nature.com/articles/s41586-022-04434-5 FALSE for aggregate catalogue row.	Response for Education linkageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Data access mechanism Recommended	collaboration	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: For Researchers navigation “For Researchers” Page: https://pgc.unc.edu/for-researchers/ collaboration matches PGC’s federated, investigator-led data sharing model.	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: access is via contributing studies and collaboration agreements rather than one named UK TRE for this row.	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: no single harmonised data dictionary URL for UK PGC aggregate on reviewed pages.	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: no single access timeline for UK PGC samples; collaboration-dependent.	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 published as a single figure for this aggregate.	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 unified age distribution for UK PGC samples as a single exportable dataset in sources reviewed.	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 UK-only sex distribution for this aggregate row 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 UK-only ethnicity table for this aggregate row 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: see age_distribution.	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: see sex_distribution.	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: see ethnicity_distribution.	Response for Percent non-whiteAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Geographic coverage Recommended	national	Field-cited	Psychiatric Genomics Consortium — Official Website https://pgc.unc.edu/ Section: UK anchor framing in cohorts.notes + consortium scale “900,000 participants” Page: https://pgc.unc.edu/ national selected because UK samples contributing to PGC are drawn from across the UK via multiple studies (not a single-site catchment).	Response for Geographic coverageAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Follow-up duration Recommended	No value held	Not published	Searched — not published UNSOURCEABLE: not a single longitudinal follow-up window for the aggregate.	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: consortium data freeze dates are analysis-specific.	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: not a single-recruitment-period cohort.	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: not a single-recruitment-period cohort.	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: Schizophrenia Recommended Confirm this diagnosis area applies and estimated N if shown.	Schizophrenia · Psychotic Disorders	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: Schizophrenia GWAS headline “Mapping genomic loci implicates genes and synaptic biology in schizophrenia” Page: https://www.nature.com/articles/s41586-022-04434-5 Schizophrenia is a flagship PGC disorder programme (PGC3 SCZ2). UNSOURCEABLE: no UK-only schizophrenia case count for PGC samples in sources reviewed.	Response for Diagnosis area: SchizophreniaAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Diagnosis area: Bipolar disorder Recommended Confirm this diagnosis area applies and estimated N if shown.	Bipolar disorder · Mood Disorders	Field-cited	Cross-Disorder Group of the Psychiatric Genomics Consortium — Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs https://doi.org/10.1038/ng.2711 Section: Title “Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs” Page: https://doi.org/10.1038/ng.2711 Bipolar disorder is among cross-disorder PGC analyses. UNSOURCEABLE: no UK-only bipolar case count for PGC samples in sources reviewed.	Response for Diagnosis area: Bipolar disorderAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Diagnosis area: Major depressive disorder Recommended Confirm this diagnosis area applies and estimated N if shown.	Major depressive disorder · Mood Disorders	Field-cited	Cross-Disorder Group of the Psychiatric Genomics Consortium — Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs https://doi.org/10.1038/ng.2711 Section: Title “five psychiatric disorders” Page: https://doi.org/10.1038/ng.2711 Major depression is covered by PGC MDD working group outputs referenced in cross-disorder genetics literature. UNSOURCEABLE: no UK-only MDD case count for PGC samples in sources reviewed.	Response for Diagnosis area: Major depressive disorderAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Diagnosis area: ADHD Recommended Confirm this diagnosis area applies and estimated N if shown.	ADHD · Neurodevelopmental	Field-cited	Cross-Disorder Group of the Psychiatric Genomics Consortium — Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs https://doi.org/10.1038/ng.2711 Section: Title “five psychiatric disorders” Page: https://doi.org/10.1038/ng.2711 ADHD genetics are within PGC cross-disorder and dedicated ADHD GWAS programmes. UNSOURCEABLE: no UK-only ADHD case count for PGC samples in sources reviewed.	Response for Diagnosis area: ADHDAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Diagnosis area: Autism spectrum conditions Recommended Confirm this diagnosis area applies and estimated N if shown.	Autism spectrum conditions · Neurodevelopmental	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: PGC mission “uncovering the role of genetics in psychiatric disorders” Page: https://pgc.unc.edu/ Phase B NEW: PGC includes ASD working-group genetics; retained as diagnosis_area_id=17. UNSOURCEABLE: no UK-only ASD case count for PGC samples in sources reviewed.	Response for Diagnosis area: Autism spectrum conditionsAccurateNeeds 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 University College London Hospitals Biomedical Research Centre Recommended	NIHR University College London Hospitals Biomedical Research Centre · London	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: citation_author_institution “Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK” Page: https://www.nature.com/articles/s41586-022-04434-5 site_id=5 UCLH BRC is the DIGIT NIHR BRC anchor partnered with UCL Faculty of Medical Sciences / psychiatry divisions cited on the author list.	Response for Linked site: NIHR University College London Hospitals Biomedical Research CentreAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked site: Institute of Psychiatry, Psychology & Neuroscience Recommended	Institute of Psychiatry, Psychology & Neuroscience · London	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: citation_author_institution “Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK” Page: https://www.nature.com/articles/s41586-022-04434-5 site_id=13 is the IoPPN KCL campus entity in DIGIT.	Response for Linked site: Institute of Psychiatry, Psychology & NeuroscienceAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked site: University of Edinburgh Recommended	University of Edinburgh · Scotland	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: citation_author_institution “Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK” Page: https://www.nature.com/articles/s41586-022-04434-5 site_id=12 University of Edinburgh.	Response for Linked site: University of EdinburghAccurateNeeds correctionNot sureDoes not apply No response selected	No notes
Linked site: National Centre for Mental Health Recommended	National Centre for Mental Health · Wales	Field-cited	Trzaskowski et al. 2022 — Mapping genomic loci implicates genes and synaptic biology in schizophrenia (PGC) https://doi.org/10.1038/s41586-022-04434-5 Section: citation_author_institution “MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK” Page: https://www.nature.com/articles/s41586-022-04434-5 site_id=15 (NCMH / Cardiff University mental health genetics anchor) maps Cardiff University PGC leadership named on the paper.	Response for Linked site: National Centre for Mental HealthAccurateNeeds 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 pgc.unc.edu homepage, Trzaskowski et al. 2022 (Nature doi:10.1038/s41586-022-04434-5 HTML snapshot), Cross-Disorder Group of the PGC 2013 (Nat Genet doi:10.1038/ng.2711), HDR UK Innovation Gateway search snapshot, Dementias Platform UK search snapshot, ClinicalTrials.gov API v2 query Psychiatric Genomics Consortium, ISRCTN XML API query Psychiatric Genomics Consortium.	Internal	Internal catalogue field	—	—