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Unified Cohorts Research Network

Population Size

Not reported
Population Size statistic card

Years

1970

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

Not reported
Geographic coverage statistic card

Lead time

Other

Lead time statistic card

Summary

UNICORN leverages UK cohort studies with a focus on asthma and allergy more productively, and develops a sustainable, scalable scientific infrastructure to facilitate future work in this and other biomedical domains.

Documentation

UNICORN leverages UK cohort studies with a focus on asthma and allergy more productively, and develops a sustainable, scalable scientific infrastructure to facilitate future work in this and other biomedical domains. It includes Study Team for Early Life Asthma Research (STELAR), which includes Avon Longitudinal Study of Parents and Children (ALSPAC), Ashford and Isle of Wight cohorts (IoW), Manchester Asthma and Allergy Study (MAAS), Aberdeen Study of Eczema and Asthma To Observe the Effects of Nutrition (SEATON); Breathing Together; U-BIOPRED; and the Royal Brompton Severe Asthma cohort (paediatric) cohorts. When/where possible these data are to be linked to NHS data.

Asthma and allergic diseases (food allergies, rhinitis, eczema) are the most common chronic diseases in childhood and adolescence. They usually start before school-age and are responsible for a heavy burden of ill health, including premature death. In response, we propose an innovative scientific research program which embraces a truly trans-disciplinary team science approach, and is of fundamental relevance both to biomedical research and to evidence-based health science more broadly. UNICORN builds directly on the substantive prior investments in both the science and infrastructure underpinning research in this domain. The project will assist UK to leverage its cohort studies with a focus on asthma and allergy more productively, and to develop a sustainable, scalable scientific infrastructure to facilitate future work in this and other biomedical domains.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Keywords

Provenance

Image contrast

Not stated

Biological sample availability

None/not available

Details

Publishing frequency

Other

Version

1.0.0

Modified

08/10/2024

Citation Requirements

Various (differs for each dataset)

Coverage

Start date

01/01/1970

Time lag

Not applicable

Accessibility

Language

en

Data Access Request

Dataset pipeline status

Not available

Access rights

Available upon request

Time to dataset access

Other

Data Controller

Imperial College London

Data Processor

Imperial College London

Dataset Types: Health and disease


Collection Sources:

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