KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease

Floranne Boulogne; Laura R. Claus; Henry Wiersma; Roy Oelen; Floor Schukking; Niek de Klein; Shuang Li; Harm-Jan Westra; Bert van der Zwaag; Franka van Reekum; Dana Sierks; Ria Schoenauer; Jan Halbritter; Nine V. A. M. Knoers; Patrick Deelen; Lude Franke; Albertien M. van Eerde

KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease

Floranne Boulogne, Laura R. Claus, Henry Wiersma, Roy Oelen, Floor Schukking, Niek de Klein, Shuang Li, Harm-Jan Westra, Bert van der Zwaag, Franka van Reekum, Dana Sierks, Ria Schoenauer, Jan Halbritter, Nine V. A. M. Knoers, Patrick Deelen, Lude Franke, Albertien M. van Eerde

Research output: Contribution to journal › Meeting Abstract › Academic

Original language	English
Pages (from-to)	502-502
Journal	European Journal of Human Genetics
Volume	30
Issue number	SUPPL 1
Publication status	Published - Apr 2022

Cite this

Boulogne, F., Claus, L. R., Wiersma, H., Oelen, R., Schukking, F., de Klein, N., Li, S., Westra, H.-J., van der Zwaag, B., van Reekum, F., Sierks, D., Schoenauer, R., Halbritter, J., Knoers, N. V. A. M., Deelen, P., Franke, L., & van Eerde, A. M. (2022). KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease. European Journal of Human Genetics, 30(SUPPL 1), 502-502.

@article{83b9576e15e2475a9b5af8f132f0c242,

title = "KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease",

author = "Floranne Boulogne and Claus, \{Laura R.\} and Henry Wiersma and Roy Oelen and Floor Schukking and \{de Klein\}, Niek and Shuang Li and Harm-Jan Westra and \{van der Zwaag\}, Bert and \{van Reekum\}, Franka and Dana Sierks and Ria Schoenauer and Jan Halbritter and Knoers, \{Nine V. A. M.\} and Patrick Deelen and Lude Franke and \{van Eerde\}, \{Albertien M.\}",

year = "2022",

month = apr,

language = "English",

volume = "30",

pages = "502--502",

journal = "European Journal of Human Genetics",

issn = "1018-4813",

publisher = "Springer Nature",

number = "SUPPL 1",

}

Boulogne, F, Claus, LR, Wiersma, H, Oelen, R, Schukking, F, de Klein, N, Li, S, Westra, H-J, van der Zwaag, B, van Reekum, F, Sierks, D, Schoenauer, R, Halbritter, J, Knoers, NVAM, Deelen, P, Franke, L & van Eerde, AM 2022, 'KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease', European Journal of Human Genetics, vol. 30, no. SUPPL 1, pp. 502-502.

TY - JOUR

T1 - KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease

AU - Boulogne, Floranne

AU - Claus, Laura R.

AU - Wiersma, Henry

AU - Oelen, Roy

AU - Schukking, Floor

AU - de Klein, Niek

AU - Li, Shuang

AU - Westra, Harm-Jan

AU - van der Zwaag, Bert

AU - van Reekum, Franka

AU - Sierks, Dana

AU - Schoenauer, Ria

AU - Halbritter, Jan

AU - Knoers, Nine V. A. M.

AU - Deelen, Patrick

AU - Franke, Lude

AU - van Eerde, Albertien M.

PY - 2022/4

Y1 - 2022/4

M3 - Meeting Abstract

SN - 1018-4813

VL - 30

SP - 502

EP - 502

JO - European Journal of Human Genetics

JF - European Journal of Human Genetics

IS - SUPPL 1

ER -