Table 1 UK patient and population-based studies available for RbG studies

From: Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference

Study

Sample size

Local phenotypic expertise

Patient group/ population sample

The Avon Longitudinal Study of Parents and Children (ALSPAC)

~9000 (mother child duos) & ~2000 trios. Smaller number of children of index participants (third gen)

Lifecourse epidemiology—birth cohort (‘complete’ phenotyping)

Population-based cohort

East London Genes & Health (ELGH)

26,476 (at Nov. 2017, actively recruiting, total sample size 100 k)

Human knockouts, primary care e-health records, diabetes and cardiovascular

Population-based cohort (Bangladeshi and Pakistani ethnicity, age > 16)

EXtended Cohort for E-health, Environment and DNA (EXCEED)

Over 9300 recruits to date; recruitment planned to continue to 10,000

Cardiovascular, respiratory, renal, metabolic, infectious disease and cancer

Population-based cohort (aged 30–69)

Exeter 10,000 (EXTEND)

10,000

Type 2 diabetes, ischaemic heart disease, vascular function and healthy ageing

Population-based sample (based in Exeter; enriched for patients with diabetes; aged > 18)

Genetics of Diabetes and Audit Research Tayside Study (GoDARTS)

9439 cases and 8187 controls

Complete EMR linkage, type 2 diabetes, heart disease, asthma and cancer

Case−control cohort

INTERVAL

50,000

>6000 molecular phenotypes, including serum NMR metabolomics, plasma MS lipidomics and metabolomics, plasma proteomics, Sysmex FBC, hepcidin and others

Population-based sample of healthy blood donors

National Centre for Mental Health

Over 10,000

Mental health conditions

Population-based cohort (variety of mental health conditions; all ages; primarily Wales-based)

The Oxford Biobank

7900

Metabolic and anthropometric, obesity

Random, population-based sample of healthy 30–50-year-old men and women (Oxfordshire)

Scottish Health Research Register (SHARE)

50,000 samples obtained. 155,000 consented for spare blood interception

Complete EMR linkage. Type 2 diabetes, heart disease, asthma and cancer. Mobile App Patient Reported Outcomes.

Population-based cohort

Generation Scotland: Scottish Family Health Study (GS:SFHS)

20,032

Complete EHR linkage, urinary traits and kidney disease, eye phenotypes, family based data analysis

Family-based population cohort

  1. NMR, nuclear magnetic resonance; MS, mass spectrometry; EHR, electronic health record; EMR, electronic medical records; FBC, full blood count. An expanded version of this table with additional information can be found in Supplementary Table 1