Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.

MLA

Sandholm, Niina, et al. “Genome-Wide Meta-Analysis and Omics Integration Identifies Novel Genes Associated with Diabetic Kidney Disease.” Diabetologia, vol. 65, no. 9, Sept. 2022, pp. 1495–509. EBSCOhost, https://doi.org/10.1007/s00125-022-05735-0.

APA

Sandholm, N., Cole, J. B., Nair, V., Sheng, X., Liu, H., Ahlqvist, E., van Zuydam, N., Dahlström, E. H., Fermin, D., Smyth, L. J., Salem, R. M., Forsblom, C., Valo, E., Harjutsalo, V., Brennan, E. P., McKay, G. J., Andrews, D., Doyle, R., Looker, H. C., … Groop, P.-H. (2022). Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease. Diabetologia, 65(9), 1495–1509. https://doi.org/10.1007/s00125-022-05735-0

Chicago

Sandholm, Niina, Joanne B Cole, Viji Nair, Xin Sheng, Hongbo Liu, Emma Ahlqvist, Natalie van Zuydam, et al. 2022. “Genome-Wide Meta-Analysis and Omics Integration Identifies Novel Genes Associated with Diabetic Kidney Disease.” Diabetologia 65 (9): 1495–1509. doi:10.1007/s00125-022-05735-0.