Data from: Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study
Authors/Creators
-
Cai, Lina1
- Wheeler, Eleanor1
- Kerrison, Nicola D.1
- Luan, Jian'an1
- Deloukas, Panos2
- Franks, Paul W.3
- Amiano, Pilar4
- Ardanaz, Eva5
- Bonet, Catalina6
- Fagherazzi, Guy7
- Groop, Leif C.3
- Kaaks, Rudolf8
- Huerta, José María9
- Masala, Giovanna10
- Nilsson, Peter M.3
- Overvad, Kim11
- Pala, Valeria12
- Panico, Salvatore13
- Rodriguez-Barranco, Miguel14
- Rolandsson, Olov15
- Sacerdote, Carlotta16
- Schulze, Matthias B.17
- Spijkeman, Annemieke M.W.18
- Tjonneland, Anne19
- Tumino, Rosario20
- van de Schouw, Yvonne T.21
- Sharp, Stephen J.1
- Forouhi, Nita G.1
- Riboli, Elio22
- McCarthy, Mark I.23
- Barroso, Inês24
- Langenberg, Claudia1
- Wareham, Nicholas J.1
- 1. University of Cambridge
- 2. Queen Mary University of London
- 3. Lund University
- 4. Biodonostia
- 5. Instituto de Salud Pública de Navarra
- 6. Institut d'Investigació Biomédica de Bellvitge
- 7. Institut Gustave Roussy
- 8. German Cancer Research Center
- 9. Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
- 10. Institute for Cancer Research, Prevention and Clinical Network - ISPRO*
- 11. Aarhus University
- 12. Istituto Nazionale dei Tumori
- 13. University of Naples Federico II
- 14. Andalusian School of Public Health
- 15. Umeå University
- 16. Azienda Ospedaliera Citta' Della Salute E Della Scienza Di Torino
- 17. German Institute of Human Nutrition
- 18. National Institute for Public Health and the Environment
- 19. Danish Cancer Society
- 20. Azienda Sanitaria Provinciale*
- 21. University Medical Center Utrecht
- 22. Imperial College London
- 23. University of Oxford
- 24. University of Exeter
Description
Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D.
Notes
The steps for generating these datasets have been described in the corresponding journal article (in Scientific Data).
EPIC-InterAct T2D GWAS summary statistics (logistic regression) : meta_result_EPICInterAct_T2D_GWAS_summary_stats_logit_n22326_08Jul2020_LCAI.txt.gz;
Cox Regression results for 370 Top T2D SNPs (from Mahajan et al, 2018) in EPIC-InterAct: CoxReg_on_T2D_Mahajan370SNPs_available_in_InterAct_Jul2020_LCAI.txt
A README file is available accompanying the result files.
By downloading this data, you agree to not attempt to identify individuals in the study.
Funding provided by: Sixth Framework Programme
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004965
Award Number: Integrated Project LSHM_CT_2006_037197
Funding provided by: Medical Research Council, United Kingdom*
Crossref Funder Registry ID:
Award Number: MC_UU_12015/1
Funding provided by: Medical Research Council, United Kingdom*
Crossref Funder Registry ID:
Award Number: MC_UU_12015/5