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 -