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

AIMS/HYPOTHESIS: Diabetic kidney disease (DKD) is the leading cause of kidney failure and has a substantial genetic component. Our aim was to identify novel genetic factors and genes contributing to DKD by performing meta-analysis of previous genome-wide association studies (GWAS) on DKD and by inte...

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Detalles Bibliográficos
Autores principales: Sandholm, Niina, Cole, Joanne B., Nair, Viji, Sheng, Xin, Liu, Hongbo, Ahlqvist, Emma, van Zuydam, Natalie, Dahlström, Emma H., Fermin, Damian, Smyth, Laura J., Salem, Rany M., Forsblom, Carol, Valo, Erkka, Harjutsalo, Valma, Brennan, Eoin P., McKay, Gareth J., Andrews, Darrell, Doyle, Ross, Looker, Helen C., Nelson, Robert G., Palmer, Colin, McKnight, Amy Jayne, Godson, Catherine, Maxwell, Alexander P., Groop, Leif, McCarthy, Mark I., Kretzler, Matthias, Susztak, Katalin, Hirschhorn, Joel N., Florez, Jose C., Groop, Per-Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345823/
https://www.ncbi.nlm.nih.gov/pubmed/35763030
http://dx.doi.org/10.1007/s00125-022-05735-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345823/
https://www.ncbi.nlm.nih.gov/pubmed/35763030
http://dx.doi.org/10.1007/s00125-022-05735-0

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