Cargando…
A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease
Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world’s population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. First, we selected 322 CKD-associated independent genetic varia...
Autores principales: | Eoli, A., Ibing, S., Schurmann, C., Nadkarni, G.N., Heyne, H.O., Böttinger, E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593036/ https://www.ncbi.nlm.nih.gov/pubmed/37873472 http://dx.doi.org/10.1101/2023.10.12.23296926 |
Ejemplares similares
-
A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease
por: Eoli, Andrea, et al.
Publicado: (2023) -
Implementation and evaluation of personal genetic testing as part of genomics analysis courses in German universities
por: Slosarek, Tamara, et al.
Publicado: (2023) -
Imagining Simpler Worlds to Understand the Complexity of Our Own
por: Gerber, Edwin P., et al.
Publicado: (2019) -
Advances in genetics: widening our understanding of prostate cancer
por: Pine, Angela C., et al.
Publicado: (2016) -
Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysis
por: Dapas, Matthew, et al.
Publicado: (2020)