The GENDULF algorithm: mining transcriptomics to uncover modifier genes for monogenic diseases

The GENDULF algorithm: mining transcriptomics to uncover modifier genes for monogenic diseases

Abstract Modifier genes are believed to account for the clinical variability observed in many Mendelian disorders, but their identification remains challenging due to the limited availability of genomics data from large patient cohorts. Here, we present GENDULF (GENetic moDULators identiFication), o...

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Bibliographic Details
Main Authors: Noam Auslander, Daniel M Ramos, Ivette Zelaya, Hiren Karathia, Thomas O. Crawford, Alejandro A Schäffer, Charlotte J Sumner, Eytan Ruppin
Format: Article
Language:English
Published: Springer Nature 2020-12-01
Series:Molecular Systems Biology
Subjects:
cystic fibrosis
digenic inheritance
gene expression
modifier gene
spinal muscular atrophy
Online Access:https://doi.org/10.15252/msb.20209701

Internet

https://doi.org/10.15252/msb.20209701

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