Date of filling in this questionnaire or last update: 17/09/2020
1. IDENTIFICATION & BASIC DESCRIPTION
Cohort name
  Viking Genes
Country
 

  • United Kingdom

Please provide any other information on the cohort location/s if needed
  The VIKING II cohort, part of Viking Genes, is recruiting worldwide as it is an online plus "spit-and-post" study.
Name
  James Flett Wilson
Institution
  University of Edinburgh
Email
  jim.wilson@ed.ac.uk
Personal website
  https://www.ed.ac.uk/profile/jim-wilson
Website
 

  • https://www.ed.ac.uk/viking

Name of committee
  South East Scotland REC, NHS Lothian
Upload files
 

Contact Principal Investigator (name)
  Prof Jim F. Wilson
Participation in pooled analyses
 

  • The cohort is potentially interested in participating in pooled analyses of (European) occupational cohort studies (note pooled analyses also includes remote decentralized analyses that would not require any transfer of primary data as well as meta-analyses).

Main aim of cohort, please briefly describe the main objectives of the cohort
  Isolate populations with high kinship; aims to discover the genes and variants that influence the risk of common, complex diseases.
Study design (please select as many as appropriate)
 

  • Prospective cohort

Source population (please select as many as appropriate)
 

  • General population: Regional
  • Generation (parents-children) study

Comparators (please select as many as appropriate)
 

  • External study population (includes SMR/SIR studies)

Inclusion criteria
  Aged over 16; two or more grandparents from Orkney or Shetland
Exclusion criteria
  Under 16 years, one or fewer grandparents from Northern isles of Scotland
Enrollment
  Ongoing
Age range at entry (main cohort)
 

Minimum Maximum Mean
16 none

Men at enrollment
  4,000 (expected)
Women at enrollment
  4,000 (expected)
Children (<18 years) at enrollment
  Approx 100 (expected)
Comments
  We're merging aspects of the completed ORCADES study with the completed Viking health Study Shetland, collectively "VIKING". We aim to recruit a further 4,000 volunteers with ancestry (two or more grandparents) from Orkney or the Shetland Isles in "VIKING II".
This new VIKING II recruitment will take the total number of participants in Viking Genes to 8,000
2. OUTCOME FOLLOW-UP
Type of data for outcome follow-up (please select as many as appropriate)
 

  • Disease incidence records

Disease incidence records (specify)
 

  • NHS Electronic health records, including the SMR01 (Scottish Morbidity Record) database of hospitalisation codes

Comments
  The EHR dataset is updated on request. Nearly 100% of participants are linked or will be linked to these records for longitudinal follow-up.
3. OCCUPATIONAL EXPOSURES
Source of exposure data collected (please select as many as appropriate)
 

  • Questionnaire, Personal (Self-reporting or interview)

Occupational history/time frame
  Current, at enrollment
Occupational coding performed
  No
Types of exposure measurements
 

  • Biomarkers (see also section 5)

Methods for exposure assessment (please select as many as appropriate)
 

  • Self-report

4. OUTCOMES EVALUATED
Baseline - type of outcome data collected (select more than one if applicable)
 

  • Biomarker (specify)
  • Clinical/functional evaluation, e.g. spirometry, ECGs (specify)
  • Medical records

Specify: Clinical/functional evaluation, e.g. spirometry, ECGs
  Range of measures at enrolment inc spirometry, ECGs
Specify: Biomarker
  Proteomics, metabolomics, genomics
Follow-up - type of outcome data collected (select more than one if applicable)
 

  • Medical records

Outcome type (please select as many as appropriate)
 

  • Mortality
  • Morbidity

5. BIOLOGICAL SAMPLES & ANALYSIS
Biological samples collected
 

  • Blood
  • Urine

Biological processing
 

  • DNA

Genetic and other lab analyses
 

  • Genomics / GWAS
  • Genomics / Other genetics (specify)
  • Metabolomics
  • Proteomics

Specify: Other genetics
  Exome sequence
6. Other Information
Possibility for linkage to data registries/data enrichment via data linkage
 

  • Cancer incidence
  • Medication usage
  • Mortality register