| Item Type: | Article |
|---|---|
| Title: | Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation |
| Creators: |
Mahajan, A., Spracklen, C.N., Zhang, W., Ng, M.C.Y., Petty, L.E., Kitajima, H., Yu, G.Z., Rüeger, S., Speidel, L., Kim, Y.J., Horikoshi, M., Mercader, J.M., Taliun, D., Moon, S., Kwak, S.H., Robertson, N.R., Rayner, N.W., Loh, M., Kim, B.J., Chiou, J., Miguel-Escalada, I., Della Briotta Parolo, P., Lin, K., Bragg, F., Preuss, M.H., Takeuchi, F., Nano, J., Guo, X., Lamri, A., Nakatochi, M., Scott, R.A., Lee, J.., Huerta-Chagoya, A., Graff, M., Chai, J.F., Parra, E.J., Yao, J., Bielak, L.F., Tabara, Y., Hai, Y., Steinthorsdottir, V., Cook, J.P., Kals, M., Grarup, N., Schmidt, E.M., Pan, I., Sofer, T., Wuttke, M., Sarnowski, C., Gieger, C., Nousome, D., Trompet, S., Long, J., Sun, M., Tong, L., Chen, W.M., Ahmad, M., Noordam, R., Lim, V.J.Y., Tam, C.H.T., Joo, Y.Y., Chen, C.H., Raffield, L.M., Lecoeur, C., Prins, B.P., Nicolas, A., Yanek, L.R., Chen, G., Jensen, R.A., Tajuddin, S., Kabagambe, E.K., An, P., Xiang, A.H., Choi, H.S., Cade, B.E., Tan, J., Flanagan, J., Abaitua, F., Adair, L.S., Adeyemo, A., Aguilar-Salinas, C.A., Akiyama, M., Anand, S.S., Bertoni, A., Bian, Z., Bork-Jensen, J., Brandslund, I., Brody, J.A., Brummett, C.M., Buchanan, T.A., Canouil, M., Chan, J.C.N., Chang, L.C., Chee, M.L., Chen, J., Chen, S.H., Chen, Y.T., Chen, Z., Chuang, L.M., Cushman, M., Das, S.K., de Silva, H.J., Dedoussis, G., Dimitrov, L., Doumatey, A.P., Du, S., Duan, Q., Eckardt, K.U., Emery, L.S., Evans, D.S., Evans, M.K., Fischer, K., Floyd, J.S., Ford, I., Fornage, M., Franco, O.H., Frayling, T.M., Freedman, B.I., Fuchsberger, C., Genter, P., Gerstein, H.C., Giedraitis, V., González-Villalpando, C., González-Villalpando, M.E., Goodarzi, M.O., Gordon-Larsen, P., Gorkin, D., Gross, M., Guo, Y., Hackinger, S., Han, S., Hattersley, A.T., Herder, C., Howard, A.G., Hsueh, W., Huang, M., Huang, W., Hung, Y.J., Hwang, M.Y., Hwu, C.M., Ichihara, S., Ikram, M.A., Ingelsson, M., Islam, M.T., Isono, M., Jang, H.M., Jasmine, F., Jiang, G., Jonas, J.B., Jørgensen, M.E., Jørgensen, T., Kamatani, Y., Kandeel, F.R., Kasturiratne, A., Katsuya, T., Kaur, V., Kawaguchi, T., Keaton, J.M., Kho, A.N., Khor, C.C., Kibriya, M.G., Kim, D.H., Kohara, K., Kriebel, J., Kronenberg, F., Kuusisto, J., Läll, K., Lange, L.A., Lee, M.S., Lee, N.R., Leong, A., Li, L., Li, Y., Li-Gao, R., Ligthart, S., Lindgren, C.M., Linneberg, A., Liu, C.T., Liu, J., Locke, A.E., Louie, T., Luan, J., Luk, A.O., Luo, X., Lv, J., Lyssenko, V., Mamakou, V., Mani, K.R., Meitinger, T., Metspalu, A., Morris, A.D., Nadkarni, G.N., Nadler, J.L., Nalls, M.A., Nayak, U., Nongmaithem, S.S., Ntalla, I., Okada, Y., Orozco, L., Patel, S.R., Pereira, M.A., Peters, A., Pirie, F.J., Porneala, B., Prasad, G., Preissl, S., Rasmussen-Torvik, L.J., Reiner, A.P., Roden, M., Rohde, R., Roll, K., Sabanayagam, C., Sander, M. |
| Abstract: | We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10(-9)), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background. |
| Keywords: | Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Risk Factors, Single Nucleotide Polymorphism, Type 2 Diabetes Mellitus |
| Source: | Nature Genetics |
| ISSN: | 1061-4036 |
| Publisher: | Nature Publishing Group |
| Volume: | 54 |
| Number: | 5 |
| Page Range: | 560-572 |
| Date: | May 2022 |
| Official Publication: | https://doi.org/10.1038/s41588-022-01058-3 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
Tools
Tools

