Genes and Health (Phase 2): Difference between revisions

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{{CaseStudy
{{CaseStudy


|The Genes and Health (Phase 2) study aims build on the [https://wiki.discoverydataservice.org/index.php?title=East_London_Genes_and_Health |phase 1 study] to improve the health of people of Pakistani and Bangladeshi heritage by analysing the genes and health of 100,000 local people.|GP records available within the following CCGs: Barking & Dagenham, Havering, and Redbridge plus Waltham Forest TPP practices.|10,000 new adult volunteers of British-Pakistani and Bangladeshi heritage (as at 2020). Planned 100,000 volunteers by 2023, recruitment ongoing.|Primary care diagnoses, problems, clinical measurements, laboratory measurements, prescribing information on volunteers.|Patient identifiable.}}
|The Genes and Health (Phase 2) study aims build on the [[East London Genes and Health| phase 1 study]] to improve the health of people of Pakistani and Bangladeshi heritage by analysing the genes and health of 100,000 local people.|GP records available within the following CCGs: Barking & Dagenham, Havering, and Redbridge plus Waltham Forest TPP practices.|10,000 new adult volunteers of British-Pakistani and Bangladeshi heritage (as at 2020). Planned 100,000 volunteers by 2023, recruitment ongoing.|Primary care diagnoses, problems, clinical measurements, laboratory measurements, prescribing information on volunteers.|Patient identifiable.}}

Latest revision as of 10:05, 21 September 2020

Project Summary

The Genes and Health (Phase 2) study aims build on the phase 1 study to improve the health of people of Pakistani and Bangladeshi heritage by analysing the genes and health of 100,000 local people.

Project population

GP records available within the following CCGs: Barking & Dagenham, Havering, and Redbridge plus Waltham Forest TPP practices.

Project cohort

10,000 new adult volunteers of British-Pakistani and Bangladeshi heritage (as at 2020). Planned 100,000 volunteers by 2023, recruitment ongoing.

Project criteria

Primary care diagnoses, problems, clinical measurements, laboratory measurements, prescribing information on volunteers.

Data state

Patient identifiable.

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