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It is designed to enable the discovery and testing of more effective approaches to prevention, earlier detection and treatment of diseases.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"The programme is collecting and linking multiple sources of health and health-relevant information, including genetic data, across a cohort of up to 5 million people. It is recruiting participants from all ages, backgrounds and communities to create a cohort that truly reflects the UK population.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health will create a world-leading resource for researchers from universities, charities, the NHS and companies involved in health research to undertake discovery research on early indicators of disease. Researchers will also have the opportunity to re-contact participants on a risk-stratified basis for secondary studies.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Find out more on the Our Future Health website: \"},{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/ourfuturehealth.org.uk\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/ourfuturehealth.org.uk\/\"}]}]}","dar_modal_header":"Important information about applying","dar_modal_content":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"To apply for access to the Our Future Health dataset, please use the following link.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\"}]}]}","dar_modal_footer":null,"is_dar":false,"service":null},"application":null,"users":[{"id":3040,"name":"System Generated","firstname":"System","lastname":"Generated","email":"email@hdruk.ac.uk","secondary_email":null,"preferred_email":"primary","email_verified_at":null,"secondary_email_verified_at":null,"provider":null,"created_at":"2024-10-08T11:15:21.000000Z","updated_at":"2025-02-13T16:10:02.000000Z","deleted_at":null,"sector_id":6,"organisation":null,"bio":null,"domain":null,"link":null,"orcid":null,"contact_feedback":0,"contact_news":0,"is_admin":0,"terms":false,"hubspot_id":99200235059,"is_nhse_sde_approval":false,"registry_digital_identifier":null,"laravel_through_key":1158,"rquestroles":[],"cohort_discovery_roles":[],"cohort_discovery_nhs_sde":false},{"id":1340,"name":"Maeve Groot Bluemink","firstname":"Maeve","lastname":"Groot Bluemink","email":"maeve.grootbluemink@ourfuturehealth.org.uk","secondary_email":null,"preferred_email":"primary","email_verified_at":null,"secondary_email_verified_at":null,"provider":"azure","created_at":"2024-10-08T11:14:46.000000Z","updated_at":"2026-09-24T15:21:27.000000Z","deleted_at":null,"sector_id":5,"organisation":null,"bio":null,"domain":null,"link":null,"orcid":"https:\/\/orcid.org\/","contact_feedback":0,"contact_news":0,"is_admin":0,"terms":false,"hubspot_id":2508351,"is_nhse_sde_approval":false,"registry_digital_identifier":null,"laravel_through_key":1158,"rquestroles":[],"cohort_discovery_roles":[],"cohort_discovery_nhs_sde":false}],"applications":[]},{"id":4020,"created_at":"2026-09-14T14:32:42.000000Z","updated_at":"2026-09-14T14:51:06.000000Z","deleted_at":null,"active_date":"2026-09-14 14:50:25","non_gateway_datasets":[],"non_gateway_applicants":["Andrew Frankel"],"funders_and_sponsors":[""],"other_approval_committees":[""],"gateway_outputs_tools":null,"gateway_outputs_papers":null,"non_gateway_outputs":[""],"project_title":"ID-385-5: Carepath Data- Identifying risks and opportunities for better outcomes in Cardio-Metabolic care pathways","project_id_text":"ID-385-5","organisation_name":"Imperial College Healthcare NHS Trust","organisation_sector":null,"lay_summary":"The aim of this study is to provide a general overview of the treatment pathways for patients with cardiovascular disease and related conditions.","technical_summary":null,"latest_approval_date":"2026-08-21 12:00:00","manual_upload":true,"rejection_reason":null,"sublicence_arrangements":null,"public_benefit_statement":"The aim of this study is to provide a general overview of the treatment pathways for patients with cardiovascular\ndisease and related conditions. 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The ICBs covered by the region are:\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"\u2022 North East London\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"\u2022 South East London\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"\u2022 South West London\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"\u2022 West and North London\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"If you have any questions about the London SDE, please contact \"},{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"mailto:research.onelondon@nhs.net\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"research.onelondon@nhs.net\"}]}]}","dar_modal_header":"Important information about applying","dar_modal_content":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"To apply for access to the London SDE datasets please use the following link:\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/onelondon.online\/information-for-research-teams\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/onelondon.online\/information-for-research-teams\/\"}]}]}","dar_modal_footer":null,"is_dar":false,"service":"https:\/\/digital.nhs.uk\/data-and-information\/research-powered-by-data\/sde-network\/london-secure-data-environment"},"application":null,"users":[],"applications":[]},{"id":4017,"created_at":"2026-09-11T15:31:36.000000Z","updated_at":"2026-09-11T15:38:33.000000Z","deleted_at":null,"active_date":"2026-09-11 15:38:34","non_gateway_datasets":[],"non_gateway_applicants":["Hannah Durrington"],"funders_and_sponsors":[""],"other_approval_committees":[""],"gateway_outputs_tools":null,"gateway_outputs_papers":null,"non_gateway_outputs":[""],"project_title":"Using Our Future Health Data to explore the risk of asthma in night shift workers.","project_id_text":"OFHS260127","organisation_name":"The University of Manchester","organisation_sector":"Academic Institute","lay_summary":"The study's aims are to assess the risk of asthma in night shift workers and to understand if biological sex and natural body clock play a role. Analysis of 280,000 UK Biobank participants reveals that permanent night shift work increases the likelihood of moderate-to-severe asthma by 36%, especially in females. Research indicates that a mismatch between your body clock and your daily schedule, particularly for female \"morning larks,\" drives this increased risk, driving the need for further investigation into the roles of sex hormones and chronotype ('morning larks' or 'night owls') via the \"Our Future Health\" dataset.","technical_summary":null,"latest_approval_date":"2026-08-26 12:00:00","manual_upload":true,"rejection_reason":null,"sublicence_arrangements":null,"public_benefit_statement":"This research directly benefits the public by addressing the respiratory risks of shift work through the following impacts:\n\nClinical and Patient Benefits: Targeted Screening: Identifies high-risk individuals\u2014specifically female night-shift workers with morning chronotypes\u2014allowing Occupational Health teams to screen for asthma earlier.\n\nImproved Disease Management: Helps existing asthma patients understand how their work schedules might be triggering or worsening their symptoms.\n\nWorkplace and Public Health Benefits Healthier Shift Scheduling: Provides scientific evidence for employers to design safer shift rotations that minimise circadian disruption.\n\nOccupational Health Policies: Informs new workplace guidelines and risk assessments to protect vulnerable employees from developing chronic respiratory conditions.\n\nPublic Awareness: Empowers night-shift workers to recognize early symptoms and make informed choices about their health and career paths.","data_sensitivity_level":null,"project_start_date":"2026-09-03 12:00:00","project_end_date":null,"access_date":null,"accredited_researcher_status":null,"confidential_data_description":null,"dataset_linkage_description":null,"duty_of_confidentiality":null,"legal_basis_for_data_article6":null,"legal_basis_for_data_article9":null,"national_data_optout":null,"organisation_id":null,"privacy_enhancements":null,"request_category_type":"Public Health 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It is designed to enable the discovery and testing of more effective approaches to prevention, earlier detection and treatment of diseases.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"The programme is collecting and linking multiple sources of health and health-relevant information, including genetic data, across a cohort of up to 5 million people. It is recruiting participants from all ages, backgrounds and communities to create a cohort that truly reflects the UK population.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health will create a world-leading resource for researchers from universities, charities, the NHS and companies involved in health research to undertake discovery research on early indicators of disease. Researchers will also have the opportunity to re-contact participants on a risk-stratified basis for secondary studies.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Find out more on the Our Future Health website: \"},{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/ourfuturehealth.org.uk\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/ourfuturehealth.org.uk\/\"}]}]}","dar_modal_header":"Important information about applying","dar_modal_content":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"To apply for access to the Our Future Health dataset, please use the following link.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\"}]}]}","dar_modal_footer":null,"is_dar":false,"service":null},"application":null,"users":[{"id":281,"name":"Amy Peters","firstname":"Amy","lastname":"Peters","email":"amy.peters@ourfuturehealth.org.uk","secondary_email":null,"preferred_email":"primary","email_verified_at":null,"secondary_email_verified_at":null,"provider":"azure","created_at":"2024-10-08T11:14:15.000000Z","updated_at":"2026-09-11T14:04:00.000000Z","deleted_at":null,"sector_id":5,"organisation":"Our Future Health","bio":null,"domain":null,"link":null,"orcid":null,"contact_feedback":0,"contact_news":0,"is_admin":0,"terms":true,"hubspot_id":31477292673,"is_nhse_sde_approval":false,"registry_digital_identifier":null,"laravel_through_key":4017,"rquestroles":[],"cohort_discovery_roles":[],"cohort_discovery_nhs_sde":false}],"applications":[]},{"id":4016,"created_at":"2026-09-11T15:31:36.000000Z","updated_at":"2026-09-11T15:37:42.000000Z","deleted_at":null,"active_date":"2026-09-11 15:37:44","non_gateway_datasets":[],"non_gateway_applicants":["Matthew Carter"],"funders_and_sponsors":[""],"other_approval_committees":[""],"gateway_outputs_tools":null,"gateway_outputs_papers":null,"non_gateway_outputs":[""],"project_title":"Exploring how differences in the genes that control blood clotting affect the risk of rare blood diseases and of common illnesses such as stroke.","project_id_text":"OFHS260084","organisation_name":"University College London","organisation_sector":"Academic Institute","lay_summary":"Thrombotic thrombocytopenic purpura, or TTP, is a rare blood disease. In TTP, the body loses a protein that controls blood clotting. Tiny clots then block small blood vessels. This can harm the brain, kidneys and heart. Without quick treatment, most people with TTP would die. Many who survive live with lasting problems. These include tiredness, poor memory, low mood and high blood pressure.\nMost cases start when the immune system attacks this protein by mistake. This type is more common, and often more severe, in people of African descent. Almost all genetic studies of TTP so far have looked at people of European descent. We therefore know very little about risk in other groups.\nOur first aim is to find gene changes that raise the risk of this type of TTP in people of African descent. We will compare people who have the disease with Our Future Health volunteers of a similar genetic background.\nThe gene for the protein affected in TTP varies in everyone else too. Our second aim is to test whether these changes alter the risk of common illnesses. These include stroke, heart attack and blood clots. Blood must clot to stop bleeding, but clots must not grow too large. A protein in the blood, called ADAMTS13, helps keep this balance. When the body loses this protein, tiny clots form in small blood vessels. This causes the rare disease TTP.\nIn most people with TTP, the immune system makes antibodies that attack the protein. A person\u2019s genes help decide who this happens to. Studies have found risk genes in the immune system. However, nearly all this work was done in people of European descent. We still do not know which genes matter the most in TTP patients in other groups.\nSmall, common changes in the gene for ADAMTS13 are found in everyone. They alter how well the protein works. People with lower activity appear to have more strokes and heart attacks. Rarer changes are picked up by genetic tests, and doctors often cannot say what they mean.\nOur Future Health is very large and includes people of many backgrounds. It links genes to heath records. This makes it a strong resource for answering both questions in one study.","technical_summary":null,"latest_approval_date":"2026-08-26 12:00:00","manual_upload":true,"rejection_reason":null,"sublicence_arrangements":null,"public_benefit_statement":"About six people in a million develop TTP each year. Treatment has improved, but the illness is still serious. Many people have further attacks. Many also live with tiredness, memory problems, high blood pressure and low mood.\nThe UK TTP Registry, the largest registry of its kind, is run from University College London (UCL). We also work closely with TTP Network, a patient charity. Patients often ask us why they became ill. They also ask whether their children are at risk. This study will help us give better answers.\nOur results may help doctors find people at higher risk. They may help explain gene test results to families. In time, they may point to new treatments.\nThe same gene affects clotting in everyone. So, our findings may help many more people than those living with TTP. They may add to what we know about stroke and heart disease. Black people are affected by TTP more often yet are often not included in genetic research. Our study will help to close that gap. This supports fairer care for all groups.","data_sensitivity_level":null,"project_start_date":"2026-08-28 12:00:00","project_end_date":null,"access_date":null,"accredited_researcher_status":null,"confidential_data_description":null,"dataset_linkage_description":null,"duty_of_confidentiality":null,"legal_basis_for_data_article6":null,"legal_basis_for_data_article9":null,"national_data_optout":null,"organisation_id":null,"privacy_enhancements":null,"request_category_type":"Public Health 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It is designed to enable the discovery and testing of more effective approaches to prevention, earlier detection and treatment of diseases.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"The programme is collecting and linking multiple sources of health and health-relevant information, including genetic data, across a cohort of up to 5 million people. It is recruiting participants from all ages, backgrounds and communities to create a cohort that truly reflects the UK population.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health will create a world-leading resource for researchers from universities, charities, the NHS and companies involved in health research to undertake discovery research on early indicators of disease. Researchers will also have the opportunity to re-contact participants on a risk-stratified basis for secondary studies.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Find out more on the Our Future Health website: \"},{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/ourfuturehealth.org.uk\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/ourfuturehealth.org.uk\/\"}]}]}","dar_modal_header":"Important information about applying","dar_modal_content":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"To apply for access to the Our Future Health dataset, please use the following link.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\"}]}]}","dar_modal_footer":null,"is_dar":false,"service":null},"application":null,"users":[{"id":281,"name":"Amy Peters","firstname":"Amy","lastname":"Peters","email":"amy.peters@ourfuturehealth.org.uk","secondary_email":null,"preferred_email":"primary","email_verified_at":null,"secondary_email_verified_at":null,"provider":"azure","created_at":"2024-10-08T11:14:15.000000Z","updated_at":"2026-09-11T14:04:00.000000Z","deleted_at":null,"sector_id":5,"organisation":"Our Future Health","bio":null,"domain":null,"link":null,"orcid":null,"contact_feedback":0,"contact_news":0,"is_admin":0,"terms":true,"hubspot_id":31477292673,"is_nhse_sde_approval":false,"registry_digital_identifier":null,"laravel_through_key":4016,"rquestroles":[],"cohort_discovery_roles":[],"cohort_discovery_nhs_sde":false}],"applications":[]},{"id":4018,"created_at":"2026-09-11T15:31:36.000000Z","updated_at":"2026-09-11T15:35:22.000000Z","deleted_at":null,"active_date":"2026-09-11 15:35:28","non_gateway_datasets":[],"non_gateway_applicants":["Maria Carolina Borges"],"funders_and_sponsors":[""],"other_approval_committees":[""],"gateway_outputs_tools":null,"gateway_outputs_papers":null,"non_gateway_outputs":[""],"project_title":"Understanding How Health Before and During Pregnancy Affects Mothers and Babies","project_id_text":"OFHS260065","organisation_name":"University of Bristol","organisation_sector":"Academic Institute","lay_summary":"This project will investigate how a woman\u2019s health before and during pregnancy influences the health of both mother and baby.\n\nPregnancy and birth complications, including pre-eclampsia, gestational diabetes, miscarriage, premature birth, and poor fetal growth, affect millions of families worldwide and can have lasting consequences for both mothers and children. Despite their importance, it remains difficult to predict who is most at risk, and the underlying biological causes of many of these conditions are still poorly understood.\n\nUsing large-scale health and genetic data, this study has three main aims:\na) To improve prediction of pregnancy and birth complications, allowing earlier identification of women at higher risk.\nb) To identify factors that may help prevent or treat these complications, and improve understanding of their biological causes.\nc) To examine how pregnancy complications affect the short- and long-term health of mothers and children, including future risks of chronic disease.\n\nOverall, this research aims to support safer pregnancies, healthier babies, and improved long-term health for families. Pregnancy complications, such as miscarriage, preterm birth, high blood pressure, diabetes or depression during pregnancy, are common and can have serious long-term effects. However, we still have limited knowledge about how to prevent, identify, and treat these conditions. Current medical tools often fail to identify women who later develop complications, limiting opportunities for early monitoring and prevention. There are also few treatments designed specifically for pregnancy-related conditions. This is partly because pregnant women have historically been excluded from medical research, and because pregnancy conditions can be difficult to study using animal models.\nThis research aims to improve understanding of why pregnancy complications happen and how they can be identified earlier and treated more effectively. We will combine genetic information, health measurements, and medical records from large numbers of people. The study will also examine how health before pregnancy affects pregnancy outcomes, especially among women living with long-term conditions. We will also investigate the long-term health effects of pregnancy complications on both women and children, such as heart disease, dementia, and mental health conditions.\nThe findings could help identify pregnancies at higher risk earlier, improve prevention and treatment, and support safer pregnancies and better long-term health for women, children, and families.","technical_summary":null,"latest_approval_date":"2026-07-09 12:00:00","manual_upload":true,"rejection_reason":null,"sublicence_arrangements":null,"public_benefit_statement":"Pregnancy complications affect millions of women and families worldwide. These conditions can have serious consequences not only during pregnancy, but also for the long-term health of mothers and children. Despite this, many pregnancy complications remain difficult to predict, prevent, and treat effectively.\nThis research aims to improve pregnancy care in several ways. First, it will explore ways to identify women and babies at higher risk earlier and more accurately than at present, supporting closer monitoring and more tailored care. Second, it will look at why pregnancy complications happen, which could lead to better strategies for prevention and treatment. Third, it will examine how health before pregnancy affects pregnancy outcomes, especially for women living with long-term conditions such as obesity, diabetes, immune-related conditions, and mental health problems. Fourth, it will investigate how pregnancy complications may affect the long-term health of women and their children, such as heart disease, dementia, and mental health conditions.\nTogether, these findings could help develop safer and more effective treatments for pregnancy-related conditions and improve guidance for women before, during, and after pregnancy. Overall, the research aims to support safer pregnancies and better health for women and their children.","data_sensitivity_level":null,"project_start_date":"2026-09-09 12:00:00","project_end_date":null,"access_date":null,"accredited_researcher_status":null,"confidential_data_description":null,"dataset_linkage_description":null,"duty_of_confidentiality":null,"legal_basis_for_data_article6":null,"legal_basis_for_data_article9":null,"national_data_optout":null,"organisation_id":null,"privacy_enhancements":null,"request_category_type":"Public Health 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Health","enabled":true,"allows_messaging":false,"workflow_enabled":false,"access_requests_management":false,"uses_5_safes":false,"is_admin":false,"team_logo":"\/teams\/1729869846_ofh_logo_hdruk_2000x1000.jpg","member_of":"ALLIANCE","contact_point":null,"application_form_updated_by":"Qresearch webapp","application_form_updated_on":"0001-01-01 00:00:00","notification_status":true,"is_question_bank":false,"is_provider":false,"url":null,"introduction":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health is the UK's largest ever health research programme. It is designed to enable the discovery and testing of more effective approaches to prevention, earlier detection and treatment of diseases.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"The programme is collecting and linking multiple sources of health and health-relevant information, including genetic data, across a cohort of up to 5 million people. It is recruiting participants from all ages, backgrounds and communities to create a cohort that truly reflects the UK population.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health will create a world-leading resource for researchers from universities, charities, the NHS and companies involved in health research to undertake discovery research on early indicators of disease. Researchers will also have the opportunity to re-contact participants on a risk-stratified basis for secondary studies.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Find out more on the Our Future Health website: \"},{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/ourfuturehealth.org.uk\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/ourfuturehealth.org.uk\/\"}]}]}","dar_modal_header":"Important information about applying","dar_modal_content":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"To apply for access to the Our Future Health dataset, please use the following link.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\"}]}]}","dar_modal_footer":null,"is_dar":false,"service":null},"application":null,"users":[],"applications":[]},{"id":4015,"created_at":"2026-09-11T15:31:36.000000Z","updated_at":"2026-09-11T15:33:49.000000Z","deleted_at":null,"active_date":"2026-09-11 15:33:53","non_gateway_datasets":[],"non_gateway_applicants":["Alex Kwong"],"funders_and_sponsors":[""],"other_approval_committees":[""],"gateway_outputs_tools":null,"gateway_outputs_papers":null,"non_gateway_outputs":[""],"project_title":"How do genes and the environment influence depression?","project_id_text":"OFHS260011","organisation_name":"University of Edinburgh","organisation_sector":"Academic Institute","lay_summary":"Depression is one of the most severe disorders around the world, thought to affect over 300 million people. Despite best efforts to treat and better understand the disorder, our understanding of depression is far from complete. Recent research has shown that depression is partly genetic and we can use genes to better understand the biological basis of depression. Studies like Our Future Health have important data on depression, genetics and other lifestyle that can be used to improve our understanding and lead to better future treatments for depression.\nOur aim is to identify how genes and the environment can lead to depression.\nWe also aim to examine how social, psychological and behavioural factors, such as socio-economic status, smoking and drinking, and physical health could act as risk factors for depression and vice versa.\nOur research questions include:\n1) How are genes associated with different depression outcomes?\n2) How do social, psychological and behavioural factors contribute to the risk of depression and vice versa?\n3) How do genetic and environmental factors interact with one another to influence the risk of depression, and vice versa?\n4) How can we use genetic data to better understand whether environmental factors cause depression? Depression is a leading cause of disability worldwide, predicted to be the leading cause by 2030. Most risk for depression is influenced by environmental factors, however, depression has a significant genetic component. Understanding of genetic factors has advanced recently, but how these combine with environmental factors to influence depression remains unclear.\nPrevious studies have identified social, psychological and behavioural factors, such as, socio-economic status, substance use, and physical health as key environmental risk factors, however, it is difficult to determine from observational studies whether these factors directly cause, or are simply correlated with, depression. Furthermore, since depression may be a cause of some of these factors, it's unclear how they interact with each other and change over time.\nDue to advances in statistics, we can now use datasets like Our Future Health to begin to address these research questions given their substantial size and rich available data.\nBy using genetic information, we can first identify genetic variants that are associated depression, thereby improving our biological understanding of the disease.\nWe can then use genetics to identify risk factors for depression that can be changed to reduce risk, using advanced statistics which are less susceptible to biases than purely observational studies.","technical_summary":null,"latest_approval_date":"2026-04-24 12:00:00","manual_upload":true,"rejection_reason":null,"sublicence_arrangements":null,"public_benefit_statement":"Depression is common and for many individuals it can lead to poor quality of life, poor health and even reduced lifespan. Despite this, many people do not receive the right treatment or support, and current approaches do not work equally well for everyone.\nThere is a clear unmet need to better understand why some people develop depression while others do not. This study aims to use Our Future Health to improve our understanding of depression by examining both genetic and environmental factors.\nThe added value and benefit for the public will be a better understanding of how lifestyle, environmental and genetic factors influence the risk of depression, and how depression can affect other behaviours and traits. This research can help identify people who are at higher risk earlier in life. It can also clarify which risk factors may directly cause depression and which are potentially preventable.\nIn the long term, this work could support earlier treatment, more targeted support strategies, and more personalised approaches to mental health care, helping to reduce the personal and societal burden of depression.","data_sensitivity_level":null,"project_start_date":"2026-08-20 12:00:00","project_end_date":null,"access_date":null,"accredited_researcher_status":null,"confidential_data_description":null,"dataset_linkage_description":null,"duty_of_confidentiality":null,"legal_basis_for_data_article6":null,"legal_basis_for_data_article9":null,"national_data_optout":null,"organisation_id":null,"privacy_enhancements":null,"request_category_type":"Public Health 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It is designed to enable the discovery and testing of more effective approaches to prevention, earlier detection and treatment of diseases.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"The programme is collecting and linking multiple sources of health and health-relevant information, including genetic data, across a cohort of up to 5 million people. It is recruiting participants from all ages, backgrounds and communities to create a cohort that truly reflects the UK population.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health will create a world-leading resource for researchers from universities, charities, the NHS and companies involved in health research to undertake discovery research on early indicators of disease. Researchers will also have the opportunity to re-contact participants on a risk-stratified basis for secondary studies.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Find out more on the Our Future Health website: \"},{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/ourfuturehealth.org.uk\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/ourfuturehealth.org.uk\/\"}]}]}","dar_modal_header":"Important information about applying","dar_modal_content":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"To apply for access to the Our Future Health dataset, please use the following link.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\"}]}]}","dar_modal_footer":null,"is_dar":false,"service":null},"application":null,"users":[{"id":281,"name":"Amy Peters","firstname":"Amy","lastname":"Peters","email":"amy.peters@ourfuturehealth.org.uk","secondary_email":null,"preferred_email":"primary","email_verified_at":null,"secondary_email_verified_at":null,"provider":"azure","created_at":"2024-10-08T11:14:15.000000Z","updated_at":"2026-09-11T14:04:00.000000Z","deleted_at":null,"sector_id":5,"organisation":"Our Future Health","bio":null,"domain":null,"link":null,"orcid":null,"contact_feedback":0,"contact_news":0,"is_admin":0,"terms":true,"hubspot_id":31477292673,"is_nhse_sde_approval":false,"registry_digital_identifier":null,"laravel_through_key":4015,"rquestroles":[],"cohort_discovery_roles":[],"cohort_discovery_nhs_sde":false}],"applications":[]},{"id":4012,"created_at":"2026-08-20T08:49:27.000000Z","updated_at":"2026-08-20T08:52:55.000000Z","deleted_at":null,"active_date":"2026-08-20 08:53:00","non_gateway_datasets":[],"non_gateway_applicants":["Daniel Smith"],"funders_and_sponsors":[""],"other_approval_committees":[""],"gateway_outputs_tools":null,"gateway_outputs_papers":null,"non_gateway_outputs":[""],"project_title":"How do immune and metabolic factors contribute to mental health outcomes?","project_id_text":"OFHS260060","organisation_name":"University of Edinburgh","organisation_sector":"Academic Institute","lay_summary":"This study adopts a \u201cwhole-person\u201d approach to understand how physical health issues, the environment, and life experiences together affect health outcomes for mental health conditions such as depression, bipolar disorder, and schizophrenia. The main aim of this study is to determine whether exposures that cause issues with the immune or metabolic dysfunction systems can contribute to mental health outcomes, and whether stressful life events influence this relationship.\n\nTo achieve this, we will explore how physical health challenges \u2013 such as long-term illnesses, severe infections, or air pollution \u2013 affect mental health. We will also explore how difficult life events such as moving to a new country can affect mental health. Finally, we will test whether physical health challenges and stressful life events might work together to result in worse mental health. Our goal is to understand how certain biological processes contribute to psychiatric conditions. Specifically, we will focus on two biological processes in the body: inflammation (activation of the immune response) and metabolic issues (disruptions in the chemical reactions that produce energy from food). These processes have been linked to the risk for psychiatric conditions, and early studies have also shown the potential benefits of targeting these processes for treating mental health symptoms. We will capitalise on the scale and depth of Our Future Health data to better understand how being exposed to inflammation or metabolic issues influences health outcomes in people with psychiatric conditions. Biological factors alone are unlikely to fully account for psychiatric risk, so we will also explore how stressful life events affect health outcomes in this population. Therefore, in this study, we will generate new hypotheses for future research by characterising the relationship between biological processes, stressful life events, and health outcomes in psychiatric conditions.","technical_summary":null,"latest_approval_date":"2026-07-24 12:00:00","manual_upload":true,"rejection_reason":null,"sublicence_arrangements":null,"public_benefit_statement":"In this study, we will investigate the role of how inflammation and metabolic dysfunction issues in influencing clinical outcomes affect health outcomes of psychiatric conditions. Psychiatric conditions are among the leading causes of health burden worldwide. Identifying and targeting the mechanisms underlying these conditions can help to reduce this health burden. Our findings will identify inflammatory or metabolic exposures which inflammatory or metabolic issues that are associated with increased prevalence are linked to higher rates of psychiatric conditions and\/or worse clinical health outcomes in people living with these conditions. These exposure issues, to the extent that they are modifiable can be changed, may then be targeted by existing treatments (repurposed used in new ways) or new interventions treatments to improve clinical outcomes. Thus, this study will benefit the public by enabling future clinical research to develop more effective interventions treatments for psychiatric conditions.","data_sensitivity_level":null,"project_start_date":"2026-07-29 12:00:00","project_end_date":null,"access_date":null,"accredited_researcher_status":null,"confidential_data_description":null,"dataset_linkage_description":null,"duty_of_confidentiality":null,"legal_basis_for_data_article6":null,"legal_basis_for_data_article9":null,"national_data_optout":null,"organisation_id":null,"privacy_enhancements":null,"request_category_type":"Public Health Research","request_frequency":null,"access_type":"TRE","enabled":true,"last_activity":null,"counter":0,"user_id":281,"team_id":86,"application_id":null,"applicant_id":null,"sector_id":3,"status":"ACTIVE","datasets":[{"id":888,"datasetid":"09cfdc3c-ee13-4152-bae3-de92dd83a9a7","pid":"2adab6a1-0228-416d-b4b9-ed7a6e1efad5","source":null,"discourse_topic_id":0,"is_cohort_discovery":false,"partner_context":"HDRUK","commercial_use":0,"state_id":0,"uploader_id":0,"metadataquality_id":0,"user_id":4777,"team_id":86,"views_count":0,"views_prev_count":0,"has_technical_details":1,"created":"2024-10-08T11:32:48.000000Z","updated":"2026-06-08T09:45:29.000000Z","submitted":"2024-10-08 11:32:48","published":null,"created_at":"2024-10-08T11:32:48.000000Z","updated_at":"2026-06-08T09:45:29.000000Z","deleted_at":null,"active_date":"2026-06-01 11:02:44","create_origin":"MANUAL","status":"ACTIVE","name":"Our Future Health Baseline Health Questionnaire Data","dataset_version_ids":[980]},{"id":993,"datasetid":null,"pid":"f3e1819e-ee38-4ded-b747-06d9e40f09c1","source":null,"discourse_topic_id":0,"is_cohort_discovery":false,"partner_context":"HDRUK","commercial_use":0,"state_id":0,"uploader_id":0,"metadataquality_id":0,"user_id":4777,"team_id":86,"views_count":0,"views_prev_count":0,"has_technical_details":1,"created":"2024-11-26T13:59:02.000000Z","updated":"2026-06-08T09:43:46.000000Z","submitted":"2024-11-26 13:59:02","published":null,"created_at":"2024-11-26T13:59:02.000000Z","updated_at":"2026-06-08T09:43:46.000000Z","deleted_at":null,"active_date":"2025-06-12 14:36:43","create_origin":"MANUAL","status":"ACTIVE","name":"Our Future Health Clinical Measurements Data","dataset_version_ids":[1140]},{"id":1769,"datasetid":"09cfdc3c-ee13-4152-bae3-de92dd83a9a7","pid":"2adab6a1-0228-416d-b4b9-ed7a6e1efad5","source":null,"discourse_topic_id":0,"is_cohort_discovery":false,"partner_context":"HDRUK","commercial_use":0,"state_id":0,"uploader_id":0,"metadataquality_id":0,"user_id":1067,"team_id":86,"views_count":0,"views_prev_count":0,"has_technical_details":1,"created":"2026-06-01T10:18:57.000000Z","updated":"2026-06-04T13:44:39.000000Z","submitted":"2026-06-01 10:18:57","published":null,"created_at":"2026-06-01T10:18:57.000000Z","updated_at":"2026-06-04T13:44:39.000000Z","deleted_at":null,"active_date":"2026-06-01 11:02:54","create_origin":"MANUAL","status":"ACTIVE","name":"Our Future Health Participant Geographies Data","dataset_version_ids":[2047]}],"publications":[],"tools":[],"keywords":[],"outputs":[],"user":{"id":281,"name":"Amy Peters","firstname":"Amy","lastname":"Peters","email":"amy.peters@ourfuturehealth.org.uk","secondary_email":null,"preferred_email":"primary","email_verified_at":null,"secondary_email_verified_at":null,"provider":"azure","created_at":"2024-10-08T11:14:15.000000Z","updated_at":"2026-09-11T14:04:00.000000Z","deleted_at":null,"sector_id":5,"organisation":"Our Future Health","bio":null,"domain":null,"link":null,"orcid":null,"contact_feedback":0,"contact_news":0,"is_admin":0,"terms":true,"hubspot_id":31477292673,"is_nhse_sde_approval":false,"registry_digital_identifier":null,"rquestroles":[],"cohort_discovery_roles":[],"cohort_discovery_nhs_sde":false},"team":{"id":86,"pid":"7edbcc67-610e-4234-a7ea-47e0e7f0b64c","created_at":"2024-10-08T11:18:56.000000Z","updated_at":"2026-06-19T09:14:29.000000Z","deleted_at":null,"name":"Our Future Health","enabled":true,"allows_messaging":false,"workflow_enabled":false,"access_requests_management":false,"uses_5_safes":false,"is_admin":false,"team_logo":"\/teams\/1729869846_ofh_logo_hdruk_2000x1000.jpg","member_of":"ALLIANCE","contact_point":null,"application_form_updated_by":"Qresearch webapp","application_form_updated_on":"0001-01-01 00:00:00","notification_status":true,"is_question_bank":false,"is_provider":false,"url":null,"introduction":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health is the UK's largest ever health research programme. It is designed to enable the discovery and testing of more effective approaches to prevention, earlier detection and treatment of diseases.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"The programme is collecting and linking multiple sources of health and health-relevant information, including genetic data, across a cohort of up to 5 million people. It is recruiting participants from all ages, backgrounds and communities to create a cohort that truly reflects the UK population.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health will create a world-leading resource for researchers from universities, charities, the NHS and companies involved in health research to undertake discovery research on early indicators of disease. Researchers will also have the opportunity to re-contact participants on a risk-stratified basis for secondary studies.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Find out more on the Our Future Health website: \"},{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/ourfuturehealth.org.uk\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/ourfuturehealth.org.uk\/\"}]}]}","dar_modal_header":"Important information about applying","dar_modal_content":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"To apply for access to the Our Future Health dataset, please use the following link.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\"}]}]}","dar_modal_footer":null,"is_dar":false,"service":null},"application":null,"users":[],"applications":[]},{"id":4011,"created_at":"2026-08-20T08:49:27.000000Z","updated_at":"2026-08-20T08:52:12.000000Z","deleted_at":null,"active_date":"2026-08-20 08:52:13","non_gateway_datasets":[],"non_gateway_applicants":["David Tian"],"funders_and_sponsors":[""],"other_approval_committees":[""],"gateway_outputs_tools":null,"gateway_outputs_papers":null,"non_gateway_outputs":[""],"project_title":"Using Artificial Intelligence to Better Predict Heart Disease Risk in UK Asian Communities","project_id_text":"OFHS250191","organisation_name":"The University of Manchester","organisation_sector":"Academic Institute","lay_summary":"The aim of this study is to develop artificial intelligence (AI) tools that are specifically designed for people of Asian ethnicity in the UK. These tools will be used to predict the chance that someone will develop cardiovascular disease (CVD), such as heart attack or stroke, within the next two years.\n\nResearch Question:\n\nHow well can AI models designed specifically for UK Asian populations predict the risk of cardiovascular disease over a two-year period?\n\nThe study will look at overall accuracy as well as how well the models perform for different Asian sub-groups, including:\n\nSouth Asian\n\nChinese\n\nOther Asian \n\nOver the past ten years, Artificial Intelligence (AI) has been widely used to estimate the risk of cardiovascular disease (CVD) across the UK population. These AI models are designed to work for everyone, regardless of ethnic background, and they typically achieve around 75% accuracy in predicting future heart disease.\n\nHowever, these are \u201cone-size-fits-all\u201d models. They do not take into account the important differences between ethnic groups.\n\nIn the UK, people from Asian ethnic backgrounds make up about 9.3% of the population, making them the second largest ethnic group, after the White population (around 82%). Despite this, Asian groups are under-represented in health data, and they are known to have distinct patterns of cardiovascular risk, such as developing heart disease at younger ages or at lower body weights.\n\nBecause of these differences, AI models that are specifically designed for Asian populations could better capture their unique risk patterns. This could lead to more accurate and fairer predictions of heart disease risk for Asian communities compared with general models built for the whole population.","technical_summary":null,"latest_approval_date":"2026-06-24 12:00:00","manual_upload":true,"rejection_reason":null,"sublicence_arrangements":null,"public_benefit_statement":"Heart disease is one of the leading causes of illness and death in the UK. People from Asian ethnic backgrounds are more likely to develop heart disease at a younger age and often experience worse outcomes. However, the tools currently used to estimate future heart disease risk are mainly based on data from White populations. This means they may not work as well for Asian communities and can underestimate risk.\n\nThis research aims to make heart disease risk prediction fairer and more accurate for UK Asian people. By developing new AI models using health data from Asian participants, the study will better reflect the real risk patterns seen in these communities. This helps ensure that people are not overlooked because existing tools do not fully represent them.\n\nMore accurate risk estimates can help doctors identify Asian individuals who are at higher risk earlier, even when standard health checks appear normal. 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It is designed to enable the discovery and testing of more effective approaches to prevention, earlier detection and treatment of diseases.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"The programme is collecting and linking multiple sources of health and health-relevant information, including genetic data, across a cohort of up to 5 million people. It is recruiting participants from all ages, backgrounds and communities to create a cohort that truly reflects the UK population.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health will create a world-leading resource for researchers from universities, charities, the NHS and companies involved in health research to undertake discovery research on early indicators of disease. Researchers will also have the opportunity to re-contact participants on a risk-stratified basis for secondary studies.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Find out more on the Our Future Health website: \"},{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/ourfuturehealth.org.uk\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/ourfuturehealth.org.uk\/\"}]}]}","dar_modal_header":"Important information about applying","dar_modal_content":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"To apply for access to the Our Future Health dataset, please use the following link.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\"}]}]}","dar_modal_footer":null,"is_dar":false,"service":null},"application":null,"users":[{"id":281,"name":"Amy Peters","firstname":"Amy","lastname":"Peters","email":"amy.peters@ourfuturehealth.org.uk","secondary_email":null,"preferred_email":"primary","email_verified_at":null,"secondary_email_verified_at":null,"provider":"azure","created_at":"2024-10-08T11:14:15.000000Z","updated_at":"2026-09-11T14:04:00.000000Z","deleted_at":null,"sector_id":5,"organisation":"Our Future Health","bio":null,"domain":null,"link":null,"orcid":null,"contact_feedback":0,"contact_news":0,"is_admin":0,"terms":true,"hubspot_id":31477292673,"is_nhse_sde_approval":false,"registry_digital_identifier":null,"laravel_through_key":4011,"rquestroles":[],"cohort_discovery_roles":[],"cohort_discovery_nhs_sde":false}],"applications":[]},{"id":4013,"created_at":"2026-08-20T08:49:27.000000Z","updated_at":"2026-08-20T08:51:26.000000Z","deleted_at":null,"active_date":"2026-08-20 08:51:27","non_gateway_datasets":[],"non_gateway_applicants":["Josep Mercader"],"funders_and_sponsors":[""],"other_approval_committees":[""],"gateway_outputs_tools":null,"gateway_outputs_papers":null,"non_gateway_outputs":[""],"project_title":"Using genetic information from people with diverse backgrounds in Our Future Health to improve personalised medical care in people with diabetes","project_id_text":"OFHS260006","organisation_name":"The Broad Institute of MIT and Harvard","organisation_sector":"Academic Institute","lay_summary":"Diabetes is one of the biggest health challenges of this century. About 1 in every 250 people with diabetes has it because of rare gene changes that have a very strong effect. Many more people carry rare gene changes that have a moderate effect, but these often don\u2019t show up in standard genetic test reports. In this project, we will study the largest collection ever assembled of rare genetic differences - data from more than one million people (including participants from Our Future Health) from many backgrounds. Our goal is to better understand how these rare gene changes affect a person\u2019s risk of developing diabetes. We will combine this information with lab experiments and real world clinical data from patients to create a new way to evaluate and communicate genetic risk. This work will help improve how genetic results are reported in healthcare and support more accurate, personalized diabetes care for people from all populations. Some types of diabetes are caused by a single gene change. These cases make up about 2 to 6% of diabetes that begins in childhood and are caused by rare genetic variants that have a strong effect. Many of these cases are never diagnosed, especially in people from non European backgrounds. Because this form of diabetes can be treated using precision medicine - treatments tailored to a person\u2019s specific gene change \u2013 these missed diagnoses create health inequalities for non European populations. It is hard to tell whether a rare genetic variant causes diabetes when the person comes from a group that is under represented in genetic databases. There is a need for a single, consistent system, with updated guidelines, for how rare genetic variants should be interpreted, classified, and reported for diagnostic and screening purposes. To improve how rare variants are interpreted, we aim to build the largest dataset from 1.1 million people, one third of whom are from non European backgrounds (including Our Future Health), and aim to show how including genetic data from diverse populations can improve the diagnosis of different types of diabetes and support precision medicine for everyone.","technical_summary":null,"latest_approval_date":"2026-06-10 12:00:00","manual_upload":true,"rejection_reason":null,"sublicence_arrangements":null,"public_benefit_statement":"Diabetes caused by a change in a single gene affects about 3.1 million people worldwide, and getting the right diagnosis can help them receive the treatment that works best for them. This matters for patients themselves but also for their families, including during pregnancy. This project will provide a framework for variant classification, interpretation and reporting of these rare genetic variants in patients with severe forms of diabetes. While these rare genetic changes can increase someone\u2019s risk of diabetes and can sometimes guide treatment, they are not always reported consistently by medical testing labs. Our project will review and update the classification of rare genetic changes that are currently labelled as \u201cuncertain,\u201d which will help doctors make more accurate diagnoses for people who may have rare forms of diabetes. This work will benefit people from non-European backgrounds, who are more likely to receive an incorrect diagnosis because there is not enough genetic information available for their populations. By building the largest dataset from 1.1 million people, one third of whom are from non European backgrounds (including Our Future Health), we will be able to properly understand and explain rare genetic changes that are more common in these groups.","data_sensitivity_level":null,"project_start_date":"2026-08-04 12:00:00","project_end_date":null,"access_date":null,"accredited_researcher_status":null,"confidential_data_description":null,"dataset_linkage_description":null,"duty_of_confidentiality":null,"legal_basis_for_data_article6":null,"legal_basis_for_data_article9":null,"national_data_optout":null,"organisation_id":null,"privacy_enhancements":null,"request_category_type":"Public Health 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Health","enabled":true,"allows_messaging":false,"workflow_enabled":false,"access_requests_management":false,"uses_5_safes":false,"is_admin":false,"team_logo":"\/teams\/1729869846_ofh_logo_hdruk_2000x1000.jpg","member_of":"ALLIANCE","contact_point":null,"application_form_updated_by":"Qresearch webapp","application_form_updated_on":"0001-01-01 00:00:00","notification_status":true,"is_question_bank":false,"is_provider":false,"url":null,"introduction":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health is the UK's largest ever health research programme. It is designed to enable the discovery and testing of more effective approaches to prevention, earlier detection and treatment of diseases.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"The programme is collecting and linking multiple sources of health and health-relevant information, including genetic data, across a cohort of up to 5 million people. It is recruiting participants from all ages, backgrounds and communities to create a cohort that truly reflects the UK population.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Our Future Health will create a world-leading resource for researchers from universities, charities, the NHS and companies involved in health research to undertake discovery research on early indicators of disease. Researchers will also have the opportunity to re-contact participants on a risk-stratified basis for secondary studies.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"Find out more on the Our Future Health website: \"},{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/ourfuturehealth.org.uk\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/ourfuturehealth.org.uk\/\"}]}]}","dar_modal_header":"Important information about applying","dar_modal_content":"{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"text\":\"To apply for access to the Our Future Health dataset, please use the following link.\"}]},{\"type\":\"paragraph\",\"content\":[{\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer nofollow\",\"class\":null}}],\"text\":\"https:\/\/research.ourfuturehealth.org.uk\/apply-to-access-the-data\/\"}]}]}","dar_modal_footer":null,"is_dar":false,"service":null},"application":null,"users":[{"id":281,"name":"Amy Peters","firstname":"Amy","lastname":"Peters","email":"amy.peters@ourfuturehealth.org.uk","secondary_email":null,"preferred_email":"primary","email_verified_at":null,"secondary_email_verified_at":null,"provider":"azure","created_at":"2024-10-08T11:14:15.000000Z","updated_at":"2026-09-11T14:04:00.000000Z","deleted_at":null,"sector_id":5,"organisation":"Our Future Health","bio":null,"domain":null,"link":null,"orcid":null,"contact_feedback":0,"contact_news":0,"is_admin":0,"terms":true,"hubspot_id":31477292673,"is_nhse_sde_approval":false,"registry_digital_identifier":null,"laravel_through_key":4013,"rquestroles":[],"cohort_discovery_roles":[],"cohort_discovery_nhs_sde":false}],"applications":[]},{"id":4014,"created_at":"2026-08-20T08:49:29.000000Z","updated_at":"2026-08-20T08:50:37.000000Z","deleted_at":null,"active_date":"2026-08-20 08:50:38","non_gateway_datasets":[],"non_gateway_applicants":["Nick Dand"],"funders_and_sponsors":[""],"other_approval_committees":[""],"gateway_outputs_tools":null,"gateway_outputs_papers":null,"non_gateway_outputs":[""],"project_title":"Understanding causes and improving treatments for skin diseases","project_id_text":"OFHS250137","organisation_name":"King's College London","organisation_sector":"Academic Institute","lay_summary":"Skin conditions are common and can profoundly affect people\u2019s health and daily lives. Most are caused by a mix of our genes (what we inherit) and our environment (things around us and aspects of everyday living). But for most skin conditions, we still don\u2019t know which of these factors matter most, why some people are affected more severely than others, or how ethnicity and background play a role.\n\nThis study aims to better understand which genes and environmental factors are important, and how they work together in the development and severity of skin conditions. The size and diversity of the Our Future Health dataset means we can study a wider range of conditions, in people with more varied ethnic backgrounds, than ever before.\n\nWe will use advanced analysis to answer questions that matter to people living with skin conditions:\n- Why do some people\u2019s symptoms become very severe?\n- Which treatments or changes in daily routines improve symptoms?\n- Why do some people with skin conditions develop other health problems?\n\nBy looking at how different factors interact, and using genetic techniques to separate causes from consequences, this study will support the development of new drugs, and recommendations for better care. Skin conditions affect nearly a third of the global population. Several common skin conditions have been researched in depth. But there are still open questions about what factors make people more likely to get these conditions, and how best to prevent or treat them.\n\nWe know much less about the genetic factors (what we inherit via our DNA) and features of our environment that cause rarer skin conditions, or make some people\u2019s symptoms very severe.\n\nWe expect the findings of our study to help:\n\u2022 Establish new links between aspects of everyday life and the likelihood of getting specific skin conditions\n\u2022 Identify which parts of our DNA affect specific skin conditions\n\u2022 Better understand how already-known genetic factors actually cause skin conditions, and whether they might be targeted by medicines\n\u2022 Assess how genetic, lifestyle and other types of data might be used together to predict how individual people could be impacted by skin conditions and help dermatologists and primary care doctors best treat them.\n\nBy publishing and making our results widely available, we will support the work of many other lab scientists and data scientists working on skin biology and disease.","technical_summary":null,"latest_approval_date":"2026-01-26 12:00:00","manual_upload":true,"rejection_reason":null,"sublicence_arrangements":null,"public_benefit_statement":"Collectively, skin conditions are common. They represent a substantial burden for patients. They can be painful or disfiguring, and some are associated with lower life expectancy. They can impact quality of life and mental health, and many patients pay out-of-pocket for creams, lotions and medications.\n\nFor many skin conditions, doctors currently take a trial-and-error approach to find treatments that will help each patient. While some medicines are life-changing, they usually don\u2019t cure the condition and need to be taken for many years to control symptoms. For other skin conditions, researchers have not yet found many good treatment options. Doctors are also unable to advise patients with skin conditions whether they are likely to experience worsening symptoms or develop additional health problems. By identifying factors associated with a wide range of skin conditions across different ethnic groups, we will provide evidence that will help to address these challenges.\n\nFor example, our results relating to genetic factors may help scientists and drug companies develop new medicines for understudied skin conditions. We also aim to create and test \u2018risk scores\u2019 that dermatologists could calculate for individual patients to help them make effective treatment decisions.","data_sensitivity_level":null,"project_start_date":"2026-08-07 12:00:00","project_end_date":null,"access_date":null,"accredited_researcher_status":null,"confidential_data_description":null,"dataset_linkage_description":null,"duty_of_confidentiality":null,"legal_basis_for_data_article6":null,"legal_basis_for_data_article9":null,"national_data_optout":null,"organisation_id":null,"privacy_enhancements":null,"request_category_type":"Public Health 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