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Molecules To Health Records

Molecules to Health Records

Description

{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"The Molecules to Health Records Driver programme will bring together information on genomics, other molecular traits, and electronic health records at scale to gain new insights into the underlying causes and biology of diseases. "}]},{"type":"paragraph","content":[{"type":"text","text":"The UK is in the unique position of having lifelong electronic health records (EHRs) for a population of over 65 million people through the NHS. Combined with the rapid advancement of genomic medicine and diagnosis, this presents an enormous opportunity to unite these sources and answer challenging questions about many different diseases. "}]},{"type":"paragraph","content":[{"type":"text","text":"The Molecules to Health Records programme aims to achieve the integration of biology, biomedicine and population health sciences."}]}]}

Datasets & BioSamples (4)

COVID-19 Tests
Dataset population size: Unknown
Health and disease
UK Biobank
Dataset population size: 500,000
Health and disease
NIMS - National immunisation data for QResearch
Dataset population size: Unknown
Health and disease
ECHILD - Education and Child Health Insights from Linked Data
Dataset population size: 20,000,000
Health and disease, Treatments/Interventions, Socioeconomic

Publications (11)

Using Polygenic Risk Scores for Prioritizing Individuals at Greatest Need of a Cardiovascular Disease Risk Assessment.
Chung R, Xu Z, Arnold M, Ip S, Harrison H, Barrett J, Pennells L, Kim LG, Di Angelantonio E, Paige E, Ritchie SC, Inouye M, Usher-Smith JA, Wood AM.
2023
Improving 10-year cardiovascular risk prediction in apparently healthy people: flexible addition of risk modifiers on top of SCORE2.
Hageman SHJ, Petitjaen C, Pennells L, Kaptoge S, Pajouheshnia R, Tillmann T, Blaha MJ, McClelland RL, Matsushita K, Nambi V, Klungel OH, Souverein PC, van der Schouw YT, Verschuren WMM, Lehmann N, Erbel R, Jöckel KH, Di Angelantonio E, Visseren FLJ, Dorresteijn JAN.
2023
A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease.
Patel AP, Wang M, Ruan Y, Koyama S, Clarke SL, Yang X, Tcheandjieu C, Agrawal S, Fahed AC, Ellinor PT, Genes & Health Research Team; the Million Veteran Program, Tsao PS, Sun YV, Cho K, Wilson PWF, Assimes TL, van Heel DA, Butterworth AS, Aragam KG, Natarajan P, Khera AV.
2023
A signature of platelet reactivity in CBC scattergrams reveals genetic predictors of thrombotic disease risk.
Verdier H, Thomas P, Batista J, Kempster C, McKinney H, Gleadall N, Danesh J, Mumford A, Heemskerk JWM, Ouwehand WH, Downes K, Astle WJ, Turro E.
2023
Age at Menopause and the Risk of Stroke: Observational and Mendelian Randomization Analysis in 204 244 Postmenopausal Women.
Tschiderer L, Peters SAE, van der Schouw YT, van Westing AC, Tong TYN, Willeit P, Seekircher L, Moreno-Iribas C, Huerta JM, Crous-Bou M, Söderholm M, Schulze MB, Johansson C, Själander S, Heath AK, Macciotta A, Dahm CC, Ibsen DB, Pala V, Mellemkjær L, Burgess S, Wood A, Kaaks R, Katzke V, Amiano P, Rodriguez-Barranco M, Engström G, Weiderpass E, Tjønneland A, Halkjær J, Panico S, Danesh J, Butterworth A, Onland-Moret NC.
2023